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Smart Feeder / Waterer Electronics Design & Debug Guide

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Smart feeder/waterer reliability is built on a hardware-truthful closed loop: motor/pump signature + load-cell evidence + local logs must agree before dosing, low-stock/low-water alerts, and retries are accepted. The practical goal is simple: keep weight accuracy, jam/empty discrimination, and network/camera stability solid even during motion, EMI, and brownouts.

H2-1 Boundary Failure Taxonomy

System Boundary & Failure Taxonomy

This page focuses on four hardware evidence chains only: (1) feed/water actuation loop, (2) low-stock/low-water sensing, (3) networking/video stability during motor motion, and (4) backup continuity with correct event ordering. Topics such as cloud backend architecture, app walkthroughs, and whole-home gateway design are out of scope.

How to use this taxonomy (fast workflow)

Start from the symptom. Capture the first two evidence signals/logs listed below. Use the discriminator to isolate the responsible chain before changing thresholds or swapping parts.

  1. Locate the symptom family (portion/jam, weight drift/jump, dropouts/artifacts, outage mis-order).
  2. Capture “First 2 Evidence” (waveforms + counters/logs) in the same time window.
  3. Apply the discriminator to decide whether the fault is in motor chain, AFE chain, power/EMC, or backup/logging.

Evidence discipline (prevents “guess-based” fixes)

Every failure family below is tied to a minimal measurable set: rails, current signature, measurement baseline stability, and event sequencing. That evidence chain is reused for validation and field debug later.

Symptom family First 2 Evidence (capture first) Discriminator (one-step isolation)
Under/over feed, jam, slow dispense
Actuation loop
Imotor(t) during start/steady + Vbus ripple/dip (same trigger).
Optionally: driver fault/status pins or counters.
Empty run: normal current + no mass change (ΔW≈0) → mechanical slip/empty hopper or end-condition logic.
Jam: elevated current plateau / repeated OCP events + small ΔW → auger obstruction or stall threshold too tight.
Power-limited: current collapses with Vbus dip → supply/rail isolation issue.
Weight drifts, jumps, or fails with temperature
Load-cell AFE
Weight time series (static 10–30 s) + Vref/Vexc or analog rail ripple.
Optionally: ADC code histogram / noise spectrum.
Drift/creep: slow monotonic change under static load → mechanical creep/thermal drift or reference stability.
Step jump: synchronized with motor PWM or radio bursts → ground bounce / injected ripple / insufficient ratiometric design.
Motor motion causes Wi-Fi dropouts / video artifacts
Power + EMC coexistence
Vradio/Vcam transient + link quality counters (retries/PER/reset reason).
Keep triggers aligned to motor start/PWM changes.
Power-rooted: rail dips precede reset/disconnect → peak current, poor decoupling, bad power-path sequencing.
EMI-rooted: rails stable but retries spike in certain PWM bands → coupling/return-path/layout partition issue.
After outage: duplicates, mis-order, missing low-stock alerts
Backup + event logging
Rail fall sequence (who drops first/last) + event sequence counter (commit marker).
Optionally: brownout/reset cause register.
Hold-up insufficient: logs not committed before reset → power-path/backup sizing or shutdown order issue.
Logic mis-order: committed sequence increases but action repeats → reset-cause handling / idempotent event design gap.
Vertical depth rule: Each symptom family is resolved by measurable signals at the device edge: rails, current signature, measurement baseline integrity, and event ordering. Avoid “tuning by feel” until those are captured.
Failure Taxonomy → Evidence → Isolate Four chains: Motor • Load-Cell AFE • Power/EMC Coexistence • Backup & Event Order Symptom Families Portion / Jam Under/Over feed, slow dispense Weight Drift / Jump Creep, temp error, motion spikes Dropouts / Artifacts Motor → Wi-Fi/video instability Outage Mis-Order Duplicates, missing alerts First 2 Evidence I_motor(t) + V_bus Start peak / slope / plateau Align trigger to dispense Weight(t) + Vref/Vexc Static curve + motion spike V_radio/V_cam + Retries Reset reason / PER trend Rail fall + Seq counter Commit marker / idempotence Responsible Chain Motor Chain Drive • Current sense • Jam Load-Cell AFE Bridge • INA • ADC • Vref Power / EMC Rails • Return paths • Coupling Backup & Logs Power-path • Hold-up • Order
Figure F1 — A symptom-first taxonomy that forces measurable evidence capture before root-cause decisions. Each row maps to a responsible chain (motor, AFE, power/EMC, backup/log ordering).
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Use as a “diagnosis entry map” for smart feeder/waterer reliability discussions.
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H2-2 Architecture Key Interfaces

Architecture Block Diagram & Key Interfaces

A robust feeder/waterer is a set of coupled chains: measurement (load-cell AFE), actuation (motor/pump drive), perception/connectivity (camera + radio/ethernet), and power continuity (power-path + backup). The architecture below makes coupling points explicit so that isolation, coexistence, and validation are designed-in rather than debugged later.

Compute partition (ULP control vs camera/network SoC)

The key decision is whether measurement + actuation remain stable when video and wireless are active. A split design often keeps portion control and low-stock sensing deterministic even under camera load and radio bursts.

  • Single compute: simpler BOM, higher coupling risk (PWM + bursts can pollute AFE and rails).
  • Split ULP MCU + camera/network SoC: isolates timing/noise domains; preserves safe actuation during network stress.
  • Rule of thumb: if motor motion must not degrade weighing stability, plan separate analog/actuation domains from camera/radio rails.

Key interfaces (each must have an evidence hook)

Every boundary below is paired with a “hook” that proves health: a rail probe point, a counter, a fault status, or a waveform. This enables deterministic root-cause classification instead of threshold guessing.

Interface Typical failure mode Evidence hook (must exist)
Load cell bridge → INA/ADC Ground bounce, Vref/Vexc ripple, offset/creep, aliasing during motion Vref/Vexc monitor + ADC code stats; “motor on/off” comparison trigger
Motor driver → current sense False OCP/OTP, insufficient sense bandwidth, PWM edge injection Imotor(t) capture window + driver fault/status readout
Camera → MIPI/USB Rail ripple causes artifacts, clock coupling to radio, brownout during burst Vcam transient + link error counters / frame drop counter
Radio/Ethernet → network Retries spike at certain PWM bands, resets on rail dips Reset reason + PER/retry counters aligned to motor state
Power path → rails + backup Switch-over glitch, wrong rail fall order, log not committed Rail fall timing + sequence counter commit marker
Two design decision points (must be decided early):
(1) Separate rails for weighing vs motor? If motor start causes measurable Vref/analog rail disturbance or a step in weight codes, isolation (separate rail/filtering/return path) becomes mandatory.
(2) Separate rails for camera vs radio? If video activity correlates with retry spikes or resets, treat camera/radio as high-noise, high-peak domains.
Architecture Block Diagram (Key Interfaces) Measurement • Actuation • Camera/Network • Power-path/Backup (single-column friendly) Power Path & Backup DC Input Charger / Power-Path ORing • UVLO • Brownout Backup Battery / Supercap Rails Analog • Digital • Radio • Camera • Motor ULP MCU Portion logic • Sensors • Logs Event Log Seq counter Measurement Load Cell Bridge INA / ADC Vref/Vexc Camera / Network Camera MIPI / USB Wi-Fi / BLE Retries / PER Actuation Motor Driver Fault status Motor/Pump Jam/stall ADC codes PWM / enable I_sense events V_cam V_radio V_digital V_motor V_analog
Figure F2 — A single-page architecture view showing where coupling happens: motor PWM and peak currents, AFE reference integrity, camera/radio burst behavior, and power-path/backup sequencing.
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Use as the “system boundary” diagram to keep troubleshooting and validation vertically scoped.
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H2-3 Load-Cell AFE Anti-Drift

Load-Cell AFE Deep Dive: Bridge → Front-End → ADC → Anti-Drift

Stable weighing under motor motion requires a controlled measurement chain: bridge excitation and reference integrity, high CMRR front-end behavior under ground movement, and sampling/filtering strategies that reject mains and PWM-correlated disturbances. The goal is not “more bits,” but a measurable error budget that survives actuation and radio activity.

Bridge excitation: ratiometric vs regulated

Ratiometric ties bridge excitation (Vexc) and ADC reference (Vref) so common supply variation cancels in the weight ratio, but only if the “same-domain” assumption is preserved end-to-end. Regulated excitation can reduce absolute drift when analog isolation is strong; otherwise, injected ripple and ground movement can dominate.

  • Choose ratiometric when motor/radio activity causes unavoidable rail movement and the system can keep Vexc and Vref truly common.
  • Choose regulated when analog rails and return paths are well-isolated and thermal stability is prioritized.
  • Edge condition: if Vexc and Vref are derived through different regulators/paths, cancellation is weakened or lost.

INA / PGIA: where errors enter

Weight jump during motion is frequently a common-mode problem rather than a differential sensor change. AFE robustness is defined by input-referred noise (resolution floor), input bias (offset drift with impedance and temperature), and CMRR/common-mode range (how ground bounce and return-path movement converts into apparent weight).

  • Noise: sets minimum detectable ΔW; verify via static code histogram and standard deviation.
  • Input bias & leakage: interacts with bridge impedance and protection resistors; worsens with temperature.
  • CMRR: determines whether motor current return movement injects into the measurement as a step jump.
  • Input protection / ESD: must not introduce large leakage or capacitance that distorts settling and drift.

ADC and sampling strategy (reject what is predictable)

Effective performance is defined by how sampling handles predictable interference: 50/60 Hz mains, PWM bands, and radio burst periods. Select ADC resolution and rate to support synchronous sampling and an appropriate filter window, then prove that “motor on” does not expand noise beyond the allowed budget.

  • 50/60 Hz rejection: use a filter/window aligned to mains suppression, not only averaging.
  • Synchronous sampling: align sampling to motor PWM phase or avoid known burst windows to prevent coherent artifacts.
  • Aliasing check: if weight noise shows narrow peaks near PWM bands, the sampling plan must change first.

Key error sources and how to separate them

Deep diagnosis separates slow drift from step jumps and assigns each to a likely domain: mechanical creep/preload, thermal drift, or electrical injection through reference/return paths.

  • Creep: slow monotonic change under static load (10–30 s) → mechanical/material behavior or thermal settling.
  • Temperature drift: two-point test identifies zero drift vs sensitivity drift (repeat after return to ambient).
  • Ground bounce injection: step jump aligned to motor start/PWM or radio TX → common-mode/return-path coupling.
Evidence package (minimum):
(1) Static 10–30 s curve to quantify creep and baseline noise;
(2) Two-temperature point drift to separate offset vs sensitivity drift;
(3) Motor-on noise spectrum or “motor on/off σ” to reveal PWM-correlated injection.
Load-Cell AFE: Integrity & Injection Paths Vexc/Vref • INA CMRR • ADC sampling • Motor/RF coupling Wheatstone Bridge ΔV (strain) Vexc / Vref Ratiometric or Regulated INA / PGIA Noise • Bias • CMRR Input Protect ADC 50/60 Hz reject Sync Sample Filter Window Outlier gate ready Weight(t) Vexc Injection sources (prove by evidence) Motor PWM / Inrush RF Burst Mains 50/60 GND bounce Vref ripple notch Evidence package Static 10–30 s Creep + baseline σ Two-temp drift Offset vs sensitivity Motor-on noise Spectrum or on/off σ
Figure F3 — The measurement chain is defined by reference integrity (Vexc/Vref), INA CMRR under ground movement, and sampling/filtering aligned to predictable interference. Evidence badges define the minimum validation bundle.
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Use as a compact map of where weight errors enter and how to prove each one.
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H2-4 Algorithm Hardware-Truthful

Hardware-Truthful Weight Algorithm (Edge Logic Only)

The weight algorithm should be a disciplined translation of hardware evidence into stable decisions. It must respect measurement physics (settling, drift, creep) and known interference windows (motor PWM, radio bursts) instead of relying on opaque inference or cloud-side models. The same signals used for control are used for validation.

Tare (zeroing) with a stability gate

Tare is only valid inside a stable window. The stability gate is defined by bounded standard deviation and a short “flatness” check so that noise is not locked as the zero reference.

  • When: motor off, no burst window, weight(t) σ below threshold for N samples.
  • Evidence: confirm the tare window has no coherent PWM-related peak and no step jumps.

Segment integration for dispense events

Dispense estimation is most robust when computed over segments: pre-motion baseline, motion window, post-motion settling. Segment integration avoids mixing interference with the decision variable.

  • Pre: capture baseline mean and σ.
  • During: avoid coherent sampling artifacts; record motor signature alignment.
  • Post: measure ΔW after settling; reject if instability persists.

Filter window design (mains + PWM-aware)

The filter window is chosen to reject 50/60 Hz components and reduce PWM-correlated artifacts. Window length is not an arbitrary “smoother”; it is a controlled tradeoff between response time and spectral suppression.

  • Goal: reduce narrow-band peaks without delaying post-dispense stabilization excessively.
  • Evidence: compare motor on/off σ and spectral peaks at PWM harmonics.

Outlier gate (hardware-triggered, not guess-based)

Outlier removal should be triggered by known hardware states: motor start edges, PWM phase transitions, and radio TX bursts. This prevents removing legitimate mass change while still suppressing predictable spikes.

  • Inputs: motor_state, pwm_phase (or time since start), radio_tx_flag.
  • Rule: only gate samples inside declared interference windows.

Drift compensation (only when physically justified)

Drift compensation must be conditional; continuous drift correction can erase real inventory changes. Enable it only when the system is idle and the signal matches creep/thermal behavior.

  • Enable: motor off, stable window, no external disturbance, long time constant behavior.
  • Disable: active dispense, vibration, repeated step jumps, or uncertain baseline.

Low-stock alert: weight trend + motor signature consistency

Avoid false low-stock by requiring agreement between weight evidence and the actuation signature. When the motor signature indicates normal dispense but ΔW is unexpectedly small, classify as jam/empty-run risk rather than low stock.

  • Factor 1: weight trend below threshold + sustained slope.
  • Factor 2: motor current signature class (normal vs jam/empty-run).
  • Outcome: alert type depends on consistency, not only on a single threshold.
Hardware-Truthful Weight Pipeline Edge logic only: stability gate • segment integration • outlier gate • drift rules • consistent alerts Inputs ADC Codes Motor State RF Burst Flag I_motor(t) Pipeline Stability Gate σ + flatness Tare Only if stable Segment ΔW Pre / During / Post Filter + Outlier Gate PWM / RF windows Drift Comp. Idle-only rules Alert Consistency Trend + motor signature Outputs Stable Weight(t) Inventory Trend Low-stock / Jam Alert
Figure F4 — A hardware-truthful pipeline: algorithm decisions are gated by stability, segmented around motion, and validated by consistency between weight trend and motor signature (reducing false low-stock alerts).
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Use as an “edge logic contract” that keeps algorithms aligned with measurable hardware states.
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H2-5 Drive Jam Diagnostics

Motor / Pump Drive & Jam Diagnostics

Jam, empty-run, and power-limited resets must be separated using measurable evidence. A robust approach correlates three synchronized traces: Imotor(t), Vbus(t), and Weight(t). The same framework applies to auger/wheel/belt feeders and to water pumps (brushed, BLDC, diaphragm), with signatures adapted to each load profile.

Load types and what they imprint on current

  • Auger / screw: steady-state ripple often reflects pellet engagement; jam raises baseline current and slows acceleration.
  • Rotary wheel: empty-run is common—normal current with near-zero ΔW (dispense mismatch).
  • Belt / chain: slip can mimic “normal current” while transport fails; look for ΔW lag and repeatable transient patterns.
  • Brushed pump: commutation ripple is a health indicator; dry-run changes ripple and average current.
  • BLDC pump: startup and rotor-detection retries are diagnostic; repeated fails can appear as restart loops.
  • Diaphragm pump: strong pulsation; waveform periodicity reveals load state and backflow behavior.

Driver selection: protection behavior must be observable

Driver choice is not only about torque. It defines whether fault modes are distinguishable in the field. Prefer drivers with clear protection reporting and controllable switching edges so that OCP/OTP/UVLO events do not masquerade as mechanical jams.

  • Topologies: H-bridge for brushed/stepper; 3-phase for BLDC motors and pumps.
  • Protection: log and expose OCP/OTP/UVLO flags and retry counters as “first-class” evidence.
  • Slew-rate / EMI: edge control reduces injected noise into weight and radio rails, but must not compromise torque margin.

Sensing options (build a closed diagnostic loop)

  • Current sense: shunt-based (high/low side) or lossless (Hall). Bandwidth must capture startup peak and acceleration slope.
  • Position/limit: limit switch, Hall index, or encoder validates “motor moved” vs “transport happened.”
  • Restart count: repeated attempts indicate protection loops, rotor-detect failures, or persistent load blockage.

Signature table (separate jam vs empty-run vs power-limited)

  • Jam / stall: high Ipk, slow acceleration, elevated steady current, frequent OCP or thermal progression, ΔW small or intermittent.
  • Empty-run / slip: Imotor looks normal and stable, Vbus stable, but ΔW ≈ 0 or far below expectation.
  • Power-limited loop: I rise coincides with Vbus dip; UVLO/reset reasons align with the event; restarts dominate.
  • Intermittent clog: ripple amplitude and mean current shift with periodicity; ΔW becomes bursty rather than continuous.
Minimum evidence capture (one run):
Record Imotor(t), Vbus(t), and Weight(t) with the same time base. Then classify by (1) Ipk, (2) acceleration slope, (3) steady ripple/mean, (4) retry counters, and (5) ΔW consistency.
Jam Diagnostics: Evidence → Classification I_motor(t) • Vbus(t) • Weight(t) • Retry counters Loads Auger / Screw Wheel / Belt Pump Diaphragm Synchronized evidence (one run) I_motor(t) Ipk • slope • ripple Vbus(t) dip • reset/UVLO Weight(t) ΔW consistency Classification outputs Jam / Stall High Ipk + slow slope ΔW small / intermittent Empty-run / Slip Normal I + stable Vbus ΔW ≈ 0 Power-limited loop Vbus dip + UVLO/reset Retry count rises
Figure F5 — One-run evidence set: I_motor(t), Vbus(t), and Weight(t) mapped into jam/empty-run/power-limited classes. Protection loops are separated by Vbus dips and retry counters.
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Use as a field-debug map: capture three traces and classify before changing mechanics or thresholds.
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H2-6 Low-Stock Low-Water

Low-Stock / Low-Water Sensing (Must Be Verifiable)

Low-stock and low-water decisions should survive worst-case interference. Each sensor path must be validated while pump is running, radio is transmitting, and actuation is active. The design target is not a single threshold, but a decision supported by multiple independent evidence factors.

Food low-stock: three-factor consistency (anti false alarm)

Low-stock should not be asserted from a single weight threshold. Combine absolute weight, trend behavior, and actuation signature to prevent mechanical bias or structural contact from creating false low-stock alerts.

  • Factor 1 — Threshold: weight below a calibrated minimum (candidate only).
  • Factor 2 — Rate: sustained low region or consistent downward slope across multiple windows.
  • Factor 3 — Motor signature: if “normal dispense signature” is present but ΔW is too small, classify jam/empty-run risk first.

Water level sensing options and typical noise sources

  • Conductive electrodes: susceptible to contamination paths and bubbles; mitigate with AC excitation/pulsed measurement and polarity alternation.
  • Capacitive: sensitive to humidity and RF coupling; mitigate with guard/shielding and burst-aware sampling windows.
  • Pressure/flow: sensitive to pulsation and backflow; mitigate with windowed filtering aligned to pump cycles.
  • Float: susceptible to sticking and installation angle; validate with tilt/vibration and long-soak tests.

Leak and backflow: separate “wet tray” from “water path dynamics”

Leakage and backflow are often misinterpreted as low-water. Use dedicated sensing for tray/wet-base conditions and validate pump-stop transients to avoid false alarms after actuation ends.

  • Leak: tray electrode / impedance / humidity sensing with contamination and condensation tolerance.
  • Backflow: characterize 30–60 s post-stop behavior; set hysteresis so transient refills do not flip states.

Noise-injection verification (hard acceptance criteria)

Each sensing method must be proven under three injection modes. Record mean drift, standard deviation, and false-trigger count for each mode and use these results to set thresholds and sampling windows.

  • Pump ON: evaluate pulsation and supply/ground movement sensitivity.
  • RF TX: evaluate burst coupling (especially capacitive and high-impedance paths).
  • Motor ON: evaluate shared-domain coupling if feeder and pump coexist on one platform.
Evidence package (minimum):
For each sensor path, log baseline (pump/radio off), then repeat with Pump ON and RF TX to quantify noise injection. Accept only if drift and σ stay within the decision margin and false triggers remain below the allowed rate.
Low-Stock / Low-Water: Verifiable Sensing Decision = evidence consistency + injection-proof tests Food low-stock (3 factors) Threshold Rate / Trend Motor signature + ΔW Water sensing options Conductive Capacitive Pressure / Flow Float Leak / Backflow + Noise-Injection Verification Leak sensing Tray electrode • impedance • humidity Backflow behavior 30–60 s post-stop transient Injection tests (acceptance) Pump ON RF TX Motor ON Log drift, σ, and false-trigger count under each mode
Figure F6 — Low-stock and low-water sensing must be validated under interference: Pump ON, RF TX, and (if applicable) Motor ON. Decisions should require multi-factor evidence rather than a single threshold.
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Use as a verification checklist: sensing is acceptable only if injection tests stay within margins.
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H2-7 Camera Networking Coexistence

Camera + Networking Coexistence (Motor-In-Motion Stability)

Motion-time dropouts should be classified by evidence before any layout or threshold changes. There are two dominant mechanisms: power-driven resets (rail dips/ripple) and EMI-driven quality collapse (RSSI ~ constant while PER/retries rise). This section stays on-device: local RTSP/LAN access, packet loss and retry indicators, and reset reasons.

Camera rail: noise spectrum and return-path control

“LDO vs buck” is not a slogan decision. The goal is a camera rail that remains stable during motor PWM and radio TX bursts, and a high-speed link whose return current is not forced through noisy motor-current paths.

  • LDO: can suppress switching ripple, but thermal headroom and transient response still matter during burst loads.
  • Buck: efficient, but switching ripple/harmonics can couple into MIPI/clock references if return paths are compromised.
  • MIPI/CLK return: avoid crossing splits or narrow necks that “cut” the return path and convert current loops into radiators.

Wi-Fi/BLE: three injection channels to watch

  • PA peak current: TX bursts can dip Vradio and trigger resets or link flaps if decoupling and impedance are insufficient.
  • Ground bounce: motor di/dt shifts the local reference; the link can degrade even if RSSI does not.
  • Antenna coupling: fast edges and PWM harmonics can raise PER/retry without changing RSSI (quality collapse vs range loss).

Evidence split: Power-driven vs EMI-driven dropouts

  • Power-driven: Vradio/Vcamera dip or ripple spike aligns with reset reason (brownout/watchdog) and session drop.
  • EMI-driven: RSSI ~ constant, but PER/retries/packet loss rise sharply and track motor PWM speed or duty settings.
  • Mixed cases: mild Vrail ripple + strong PER rise often indicates both impedance and coupling paths need attention.

On-device metrics (no cloud dependency)

Use local indicators that can be sampled and correlated with waveforms:

  • RTSP/LAN stability: session drop count, reconnect count, and interruption duration.
  • Packet quality: PER/retry counters, TCP retransmits (if accessible), or application-level dropped-frame counters.
  • Reset evidence: reset reason, brownout flags, watchdog triggers, and reboot counters.
Minimum coexistence matrix (field-ready):
Test (Camera OFF/ON) × (Motor OFF/ON with 2–3 PWM points) × (Radio RX-idle/TX-active). Record Vcamera, Vradio, PER/retries, and reset reasons. Classify first, then apply mitigation.
Coexistence: Camera + Wi-Fi/BLE + Motor Classify dropouts: Power reset vs EMI quality collapse Noise sources & sensitive paths Motor PWM di/dt • harmonics Noise Camera Vcamera • MIPI/CLK Return path Wi-Fi / BLE PA peak • antenna TX burst Evidence split Power-driven dropout Vradio/Vcamera dip → reset reason RTSP session drops EMI-driven quality collapse RSSI ~ same, PER/retry rises Tracks PWM speed/duty On-device metrics RTSP/LAN drops PER / retries Reset reason
Figure F7 — Separate power-driven resets (rail dips + reset reason) from EMI-driven link collapse (RSSI stable, PER/retries rise). Use on-device metrics to classify without cloud dependency.
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Use as a coexistence checklist: measure rails + PER/retries and align with motor operating points.
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H2-8 Power Tree Backup Atomic Logs

Power Tree & Backup Continuity (No Power Loss, No Ledger Errors)

Continuity is not only “stays on.” It also means no duplicated or missing events during brownouts and power-path switching. The design must define rail priorities, shutdown choreography, and an atomic event recording model that correlates waveform evidence with sequence counters and reset reasons.

Rail partitioning and failure consequences

Partitioning reduces noise injection and enables graceful degradation. Each rail should have a clear “what breaks first” signature, so field failures are explainable and recoverable.

  • Motor rail: high di/dt source; isolate from sensitive domains.
  • Analog rail: weight AFE; requires clean reference and stable ground.
  • Radio rail: PA bursts; sensitive to dips and impedance peaks.
  • Camera rail: ripple and return-path sensitive; link errors are observable.
  • Digital rail: MCU + storage; must remain last to preserve logs and counters.

Backup options and power-path management

  • Battery: strong energy density; verify droop under burst write + RF TX + motor stop transients.
  • Supercap: strong pulse support; ensure predictable voltage window and controlled recharge behavior.
  • Power-path / ORing: switching must avoid glitches that look like brownouts on Vdigital and Vstorage.
  • Protection: UV/OV/OC thresholds should align with “last good commit” requirements.

Brownout choreography (who drops first, who stays last)

A deterministic power-down sequence prevents noisy domains from corrupting the last valid measurements and ensures logs commit before the digital rail collapses.

  • Step 1: disable motor drive (remove the highest-noise source).
  • Step 2: freeze weight decision state and start log flush.
  • Step 3: commit marker written, then sequence counter increments.
  • Step 4: stop radio/camera as needed; keep digital+storage alive until commit completes.

Waveform + log alignment (auditable continuity)

Each power event should be explainable by matching rail waveforms to event logs. This prevents “random reboot” narratives and eliminates duplicate/omitted low-stock alerts.

  • Waveforms: capture Vmotor, Vdigital, Vanalog, Vcamera, Vradio during drop and switch.
  • Logs: record reset reason, sequence counter, and commit marker status.
  • Rule: sequence counter must be monotonic; commit marker separates “written” from “aborted.”
Minimum continuity test set:
Run (1) hard unplug, (2) slow brownout, (3) main↔backup switching. For each, align rail minima/duration with reset reasons and verify monotonic sequence counter plus valid commit marker to prevent duplicates and missing alerts.
Power Tree + Backup Continuity Deterministic power-down + atomic event recording Power-path Input Charger / Protection Power-path / ORing System rails Backup & rail partitioning Backup Battery / Supercap Motor Drop first Camera Degrade Radio Stable Digital Stay last Choreography + atomic event record Power-down choreography Motor OFF → flush logs → commit → seq++ Atomic event record Sequence counter • commit marker • reset reason
Figure F8 — Define rail priorities and a deterministic power-down choreography. Align rail waveforms with an atomic event record (sequence counter + commit marker + reset reason) to prevent duplicates and missing alerts.
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Use as a continuity audit map: rails, switching, and logs must agree in time.
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H2-9 Safety Interlocks Abuse

Safety, Interlocks & Abuse Cases (Hardware Must Fail Safe)

Safety must be implemented as a hardware fail-safe chain, not as a single firmware rule. Any condition that could lead to injury, unintended dispensing, unintended pumping, or unintended UV/heating (if present) must remain safe during reset, brownout, and ESD/EFT disturbances.

Guarding and anti-pinch: sensors are only useful if failure is safe

Lid/latch/anti-pinch detection should prefer a default-safe polarity where wiring faults and sensor loss do not enable motion. If a single sensor is used, define its dominant failure modes and ensure the system lands in a disabled state.

  • Limit switch: choose a wiring polarity where open-circuit maps to “unsafe / disable.”
  • Hall: handle magnet loss and misalignment; require “stable present” before enabling motion.
  • Photo-eye: handle contamination and occlusion; include debounce plus a hard disable path.

Interlock philosophy: build an “allow chain,” not a “block list”

The system should only move or energize when all allow conditions are true. Any missing condition drops the enable chain. This keeps behavior safe during firmware hangs or during post-reset I/O float windows.

  • Lid OK (sensor valid and stable)
  • Rails OK (no UVLO/brownout flag for sensitive domains)
  • Fault clear (no latched OCP/OTP condition)
  • Enable gate (hardware-level gating, not only a GPIO)

Motor ↔ heater/UV (if present): hardware backstop is mandatory

If the platform includes heating or UV, the enable path must guarantee default OFF on reset and during ESD/EFT. Firmware may request activation, but hardware must enforce interlocks.

  • Default OFF: after reset/brownout, outputs remain disabled until allow chain re-validates.
  • Hard gating: a dedicated gate (EN chain) prevents unintended pulses from energizing drivers.
  • Latch behavior: certain faults should latch OFF until a controlled recovery (prevents oscillating re-triggers).

Abuse cases: define triggers, hard response, and verifiable evidence

Abuse cases should be written as auditable entries: trigger → risk → hardware backstop → verification. The goal is to avoid “random behavior” in the field.

  • Lid partially latched: sensors disagree → disable motion; verify no actuation during vibration and button spam.
  • Child rapid pressing: repeated commands → rate-limit in firmware, but hardware enable must still enforce safety.
  • Empty reservoir / dry pump: sensor indicates low-water → inhibit pump; verify no short energize bursts.
  • Mechanical shock: transient sensor toggles → debounce + allow chain stability window; verify no false starts.
Acceptance rule (simple and strict):
During reset, brownout, and ESD/EFT disturbance, no unintended actuation is allowed. The enable chain must remain OFF unless lid/rails/fault states are valid and stable. Record an event marker when the enable chain drops.
Hardware Fail-Safe Interlocks Allow chain: lid OK + rails OK + fault clear + enable gate Sensors Limit switch fail-safe polarity Hall magnet present Photo-eye block/clear Allow chain (hardware) Lid OK Rails OK Fault clear Enable gate default OFF on reset Actuators Motor driver EN gated Pump inhibit on unsafe Heater / UV hardware backstop Disturbances (must remain safe) Reset / Brownout ESD / EFT Acceptance No unintended actuation
Figure F9 — Safety must be enforced by a hardware allow chain. Reset/brownout/ESD/EFT must not cause unintended motor/pump/UV/heater action.
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Use as a safety review map: sensors → allow chain → actuators, with default-OFF behavior.
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H2-10 EMC Rugged Evidence

EMC & Ruggedness Touchpoints (Only What This Page Needs)

This section is intentionally scoped: identify where to place protection parts, which loops are most sensitive, and how to measure and correlate failures during ESD/EFT injection. General EMC theory and standard details should be linked to the dedicated “EMC, Safety & Compliance” subpage.

Protection placement map (by interface, not by theory)

  • Power entry: TVS at the entry, plus RC/π filtering as needed to control conducted bursts.
  • Motor/pump leads: edge control + ferrite/RC where appropriate; long leads are strong radiators and injection paths.
  • Sensor harness: TVS/RC and input conditioning (Schmitt where needed) on lid/optical/Hall/float lines.
  • Load-cell AFE inputs: symmetric series-R + small C + ESD clamp; protect both differential lines consistently.
  • High-speed camera link: ESD arrays at connectors; avoid return-path discontinuities near MIPI/clock routing.
  • Radio domain: keep PA rail impedance low; isolate noisy returns from antenna/reference regions.

Most sensitive loops (victim loops that explain real symptoms)

  • Weight integrity: bridge excitation/return, AFE input loop, reference/ground stability.
  • Radio stability: PA burst current loop, Vradio decoupling loop, local ground reference integrity.
  • Actuation safety: EN/PWM/control pins, gate chain thresholds, reset-time default states.

What to measure (correlation-focused)

During injection, log three outcomes and a minimal rail set. The goal is to correlate cause and effect, not to enumerate standards.

  • Motor: unintended motion, fault flags, EN state transitions.
  • Weight: jump amplitude, recovery time, and whether it aligns with motor/packet events.
  • Wi-Fi: RTSP/LAN drops, PER/retry spikes (note RSSI vs PER behavior).
  • Rails: at least Vanalog, Vradio, Vdigital to separate coupling vs brownout.

How to interpret results (fast split rules)

  • Unintended motor actuation + rail dip: prioritize power entry impedance and enable chain hardening.
  • RSSI stable but PER/retries spike: prioritize EMI coupling paths (motor leads, return discontinuities, antenna adjacency).
  • Weight jumps without link impact: prioritize AFE input/harness protection and symmetry of the differential path.
Evidence point required by this page:
Under ESD/EFT injection, correlate motor mis-act, weight jump, and Wi-Fi dropout with rail waveforms and fault/reset markers. If correlation cannot be established, protection placement and measurement points are incomplete.
EMC Touchpoints: Protect + Measure + Correlate Only the evidence needed for this page Interfaces & protection parts Power entry TVS • RC Motor / pump leads RC • ferrite Sensor harness TVS • RC Load-cell AFE R • C Camera link ESD array Radio domain filter Injection points ESD case • buttons • harness EFT power • leads Correlated outcomes Motor mis-act EN/PWM integrity Weight jump AFE loop sensitive Wi-Fi dropout RSSI vs PER Minimal rails Vanalog • Vradio • Vdigital align with faults/logs
Figure F10 — Touchpoint-only EMC map: protect the right interfaces, identify victim loops, and correlate ESD/EFT injection with motor mis-act, weight jump, and Wi-Fi dropout using minimal rail measurements.
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Use as a ruggedness checklist: protect → inject → correlate symptoms to rails and control pins.
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H2-11 Validation Field Debug Minimum Tools

Validation & Field Debug Playbook (Symptom → Evidence → Isolate → First Fix)

This playbook prioritizes minimum tools (DMM + oscilloscope + local logs) and a repeatable three-step pattern for each symptom: First 2 measurementsDiscriminatorFirst fix. The goal is to quickly classify the root cause as power integrity, EMI coupling, mechanics/load path, sensor/AFE chain, or control/enable chain, then apply the lowest-risk hardware-first correction.

Minimum tool kit (field-ready)

  • DMM: continuity (lid/interlock), static rails, shunt resistance sanity, leakage checks.
  • Scope: rail dip/ripple, motor current signature, AFE output noise, EN/PWM integrity, reset pin behavior.
  • Local logs: reset reason, brownout flags, sequence counter + commit marker, network PER/retry/drop counters.
Rule: first measurement must include one rail and one chain metric (weight/motor/network/enable). If both measurements stay clean, the issue is likely mechanical/load-path or configuration/threshold.

Evidence pack (must be collected before fixes)

  • Rails: at least Vanalog, Vradio, Vdigital (add Vmotor/Vcamera if present).
  • Motor: motor current (shunt sense or current monitor output) + bus voltage during start/stop and retry loops.
  • Weight: raw ADC codes or AFE output during static load, temperature change, and motor activity.
  • Network: RSSI + PER/retry + session drops (LAN/RTSP if used).
  • Atomicity: sequence counter monotonicity + commit marker validity across brownouts.

MPN examples for logging storage (atomic events): Fujitsu MB85RC256V (I²C FRAM), Infineon/Cypress FM24CL64B (I²C FRAM), Winbond W25Q64JV (SPI NOR Flash), reset supervisor: TI TPS3839, Analog Devices MAX809.

Three-step template used below:
First 2 measurements (two waveforms or one waveform + one counter) → Discriminator (one decisive signature) → First fix (layout/rail partition/threshold/filter/driver slew) with concrete MPN examples.

S1 — Weight drifts (static load “creeps” for 10–30s)

First 2 measurements

  • Raw ADC code (or AFE output) under fixed load for 30s (no motor, no radio TX).
  • Bridge excitation / reference stability (Vexc or Vref) and AFE input common-mode.

Discriminator

  • Monotonic creep with stable Vref → mechanical/load-path or sensor creep dominates.
  • Step-like drift correlating with rail ripple → analog ground/reference coupling dominates.

First fix

  • Enforce ratiometric measurement (bridge excitation aligned to ADC reference) and tighten analog return.
  • Add symmetric input RC and protect AFE inputs from injection; verify AFE bias/CMRR margin.

MPN examples: INA/PGIA TI INA333, TI INA826, ADI AD8421; precision ADC TI ADS1220, TI ADS1232, ADI AD7124-4/AD7124-8; low-noise reference TI REF3330, ADI ADR3430.

S2 — Weight jumps/noise rises when motor runs

First 2 measurements

  • AFE output or raw ADC code during motor PWM at two speed/duty points.
  • Vanalog ripple and analog ground bounce during the same window.

Discriminator

  • Noise increases with motor duty but not with radio TX → motor return/coupling path dominates.
  • Noise spikes align with PA bursts → shared impedance on Vradio/Vanalog dominates.

First fix

  • Partition rails (analog vs motor/radio), shorten AFE input loops, enforce symmetric differential routing.
  • Slow motor edges (slew) and add snubbers where needed; keep motor leads away from AFE harness.

MPN examples: motor driver (brushed) TI DRV8871, TI DRV8833; BLDC (3-phase) TI DRV8313, ST L6234; ferrite bead Murata BLM21PG series; current sense amp TI INA180, TI INA181.

S3 — Under/over-dispense (dose inconsistent)

First 2 measurements

  • Motor current signature: start peak, acceleration slope, steady ripple (one full dispense cycle).
  • Weight delta per cycle (integrated over a fixed window after motor stop).

Discriminator

  • Same motor signature but varying weight delta → mechanical delivery path variability (bridging, chute friction).
  • Motor signature changes (higher peak, slower ramp) with low weight delta → early jam/bridging onset.

First fix

  • Implement dose logic anchored to hardware truth: tare + windowed integration + outlier rejection tied to motor signature.
  • Add a jam retry limit + fault latch; avoid infinite “micro-burst” retries that create double-counting.

MPN examples (signature sensing): current monitor TI INA190, ADI AD8418A; MCU GPIO conditioning (Schmitt) TI SN74LVC1G14.

S4 — Jam/empty/run-dry confusion (retries, stalls, or silent failures)

First 2 measurements

  • Three-waveform capture: motor current + Vmotor bus + weight change (aligned in time).
  • Retry counter + fault flags (OCP/OTP/UVLO) from driver/firmware logs.

Discriminator

  • Jam: high start peak + stalled slope + repeated OCP/fault.
  • Empty / no-load: low steady current + minimal ripple + no weight delta.
  • Run-dry pump: current pattern shifts with cavitation; low-water sensor may confirm.

First fix

  • Set OCP/OTP strategy + retry ceiling; force a user-visible fault state instead of endless retries.
  • Add or tighten low-water/low-food validation by cross-checking weight trend + motor signature.

MPN examples: driver with protections TI DRV8876 (integrated current regulation), brushed driver Infineon BTN8982TA; power switch/eFuse for motor rail TI TPS25947, ADI LTC4368 (surge stopper).

S5 — Motor motion causes Wi-Fi drop / camera stream interruption

First 2 measurements

  • Vradio (and Vcamera if present) during motor start and during radio TX bursts.
  • PER/retry/session-drop counters (note: record RSSI in parallel).

Discriminator

  • Power-driven: rail dip aligns with reset reason/brownout and stream drop.
  • EMI-driven: RSSI ~ stable but PER/retries spike and track PWM speed/duty.

First fix

  • Power-driven: reduce shared impedance, isolate radio rail, strengthen decoupling, enforce rail priority.
  • EMI-driven: slow edges, isolate motor leads/returns from antenna and high-speed return paths, add targeted filtering.

MPN examples: power mux/ORing TI TPS2121, ideal diode controller ADI LTC4412; low-noise LDO (radio/camera) TI TPS7A02, TI TLV755; ESD array (high-speed) Nexperia PESD5V0S2UT, Semtech RClamp0504B.

S6 — Random reboot (especially at motor start or TX burst)

First 2 measurements

  • Vdigital minimum voltage and dip duration during the reboot window.
  • Reset reason + brownout flag + watchdog flag (local logs).

Discriminator

  • Brownout/reset pin toggles align with Vdigital dips → power integrity root cause.
  • No rail dip but reset reason indicates external reset → control pin injection / supervisor behavior.

First fix

  • Define rail priority and shut down noisy rails first (motor) while keeping digital/storage alive for commit.
  • Add/reset supervisor with proper threshold and delay; harden reset line against ESD injection.

MPN examples: supervisor TI TPS3808, TI TPS3839, ADI MAX809; buck (ULP digital) TI TPS62840, TI TPS62743; TVS for reset/button lines Nexperia PESD5V0S1UL, Littelfuse SP0503BAHT.

S7 — Power loss leads to duplicate/missing alerts (ledger not atomic)

First 2 measurements

  • Rail fall order: Vmotor → Vradio/Vcamera → Vdigital (scope capture on unplug).
  • Sequence counter monotonicity + commit marker validity across the event.

Discriminator

  • Commit marker missing or counter repeats after brownout → atomic write strategy fails.
  • Rail order collapses digital too early → power-down choreography fails.

First fix

  • Choreography: motor OFF → freeze decision state → flush → commit marker → seq++ → then allow digital to drop.
  • Use FRAM or journaled flash with commit marker; forbid partial records from being treated as valid events.

MPN examples: FRAM Fujitsu MB85RC256V, Infineon/Cypress FM24CL64B; power-path charger TI BQ24074, TI BQ25895; supercap charger/backup controller ADI LTC3225 (supercap charger), ADI LTC4040 (backup supply controller).

S8 — ESD/EFT causes unintended motor blip or false weight jump

First 2 measurements

  • EN/PWM/control pin integrity during injection (look for sub-ms pulses).
  • Vdigital/Vanalog and fault/reset markers aligned with the same event.

Discriminator

  • Control pin pulse without rail dip → pin injection / insufficient default state control.
  • Rail dip + reset/brownout → power entry impedance / return path coupling.

First fix

  • Harden enable chain: hardware gate with default OFF, Schmitt conditioning, RC edge control, and pull resistors.
  • Add targeted TVS/RC at harness and button entries; enforce symmetric protection on AFE differential inputs.

MPN examples: logic gate (allow chain) TI SN74LVC1G08 (AND), Schmitt TI SN74LVC1G14; ESD arrays Semtech RClamp0504B, Nexperia PESD5V0S4UD; common-mode choke (sensor leads) Murata DLW5BS, TDK ACM2012.

Decision Tree Text-only Copy-ready

Decision Tree Checklist (Minimum Tools)

  1. D0 — Identify the dominant symptom: Weight / Motor dispense / Network+camera / Reboot / Power-loss ledger / Unintended actuation.
  2. D1 — Measure one rail + one chain metric:
    • Rail: Vanalog (weight), Vradio (network), Vdigital (reboot/ledger), Vmotor (drive).
    • Chain metric: ADC code/noise, motor current signature, PER/retry/drops, reset reason, seq+commit.
  3. D2 — If network drops during motion: classify power-driven (rail dip + reset) vs EMI-driven (RSSI stable, PER spikes).
  4. D3 — If dispense is inconsistent: compare motor signature vs weight delta to split jam/bridging vs load-path variability.
  5. D4 — If reboot occurs: confirm Vdigital dip and reset reason; if clean, check reset line/supervisor injection and EN defaults.
  6. D5 — If duplicates/missing alerts appear after power loss: validate rail order + atomic commit (commit marker + monotonic sequence counter).
  7. D6 — If unintended motion occurs under ESD/EFT: verify EN/PWM pulse vs rail dip; harden enable chain (default OFF) before tuning thresholds.
Cross-reference pointers: weight chain (H2-3/H2-4), motor/jam (H2-5), low-stock sensing (H2-6), coexistence (H2-7), power/backup (H2-8), safety interlocks (H2-9), EMC touchpoints (H2-10).
Field Debug Flow (Minimum Tools) Rail + chain metric → discriminator → first fix Tool kit DMM Scope Local logs Symptom entry Weight drift/jump Motor jam/dose Network drops/PER Reboot reset Ledger dup/miss First 2 measurements 1) One rail Vanalog / Vradio / Vdigital / Vmotor 2) One chain metric ADC / motor current / PER / reset / seq+commit Discriminator → First fix Power vs EMI Jam vs Empty Atomic or not Rail partition impedance Enable hardening
Figure F11 — Minimum-tools decision flow: always start with one rail plus one chain metric, then use a decisive discriminator to pick the first fix.
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Use as a field worksheet: rail + metric → discriminator → first fix with auditable evidence.
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H2-12 FAQs ×12 Evidence-based Accordion

FAQs (Evidence-First, Hardware-Truthful)

Each answer follows the same field pattern: First 2 measurementsDiscriminatorFirst fix. All answers stay within this page’s evidence chain (H2-3 to H2-11) and avoid cloud, whole-home gateway, and nutrition topics.

1) Weight keeps drifting for 10–30s while standing still — is it broken?
First 2 measurements: log 30s of raw ADC codes (no motor, no radio TX) and probe Vref/Vexc stability. Discriminator: monotonic creep with stable Vref suggests mechanics/sensor creep; step-like drift aligned to ripple suggests reference/return coupling. First fix: enforce ratiometric measurement and tighten analog return. Use low-drift AFE/ADC (TI INA333 + ADS1220).
Evidence path: H2-3 → H2-11
2) Weight jumps or noise explodes when the motor runs — where to look first?
First 2 measurements: capture ADC/AFE output during motor PWM and measure Vanalog ripple in the same window. Discriminator: noise tracking PWM duty points to motor return coupling; noise tracking PA bursts points to shared impedance with Vradio. First fix: split analog vs motor/radio rails, shorten AFE loops, and slow motor edges. Example: TI INA181 + ADS1232; driver TI DRV8871.
Evidence path: H2-3 → H2-5 → H2-10 → H2-11
3) Weight is fine at room temp but wrong in winter/summer — sensor drift or AFE drift?
First 2 measurements: two-point temperature test (cold/hot) and separate zero drift vs gain drift using a known load. Discriminator: mostly zero shift implicates bias/reference/leakage; mostly gain shift implicates bridge excitation/reference ratio. First fix: choose low-drift reference and ratiometric topology, then verify input protection leakage. Example: ADI ADR3430 + AD7124-4.
Evidence path: H2-3
4) Readings “breathe” at 50/60Hz — how to prove it’s mains pickup?
First 2 measurements: inspect code/AFE spectrum (or time waveform) and check whether noise peaks at 50/60Hz (or 100/120Hz). Discriminator: stable mains-related tones that ignore motor/radio state indicate pickup or sampling notches missing. First fix: use ADC with 50/60Hz rejection and align digital windows (integer-cycle integration). Example: TI ADS1220/ADS124S08.
Evidence path: H2-3 → H2-4
5) Dose is inconsistent (under/over-dispense) — algorithm or mechanics?
First 2 measurements: record motor current signature (start peak, ramp slope, steady ripple) and weight delta per dispense cycle. Discriminator: stable motor signature with varying weight delta indicates mechanical delivery variability; signature shifts with low delta indicates early jam/bridging. First fix: anchor dose logic to “hardware truth”: tare + windowed integration + outlier rules keyed to motor signature. Example: TI INA190 for signature.
Evidence path: H2-4 → H2-5 → H2-11
6) Jam vs empty/no-load — can it be separated without opening the unit?
First 2 measurements: capture three traces together: motor current, Vmotor bus, and weight change during one attempt. Discriminator: jam shows high start peak + stalled ramp + retries/OCP; empty/no-load shows low steady current + minimal ripple + near-zero weight delta. First fix: set retry ceiling with fault latch and expose a clear state. Example drivers: TI DRV8876 (regulated current), BTN8982TA.
Evidence path: H2-5 → H2-11
7) Low-stock alarm is wrong (still food, but “empty”) — why?
First 2 measurements: examine short-window noise around the threshold and compare with motor signature consistency. Discriminator: weight offset caused by bridging/contact force shows threshold crossings without matching motor delivery signature. First fix: require three conditions: threshold + rate-of-change + motor signature match; add a short “freeze window” during pump or RF bursts. MPN hint: Schmitt input for noisy sensors (TI SN74LVC1G14).
Evidence path: H2-6 → H2-4
8) Low-water / leak alarms jitter — sensor contamination or power/EMI injection?
First 2 measurements: monitor water sensor output while toggling pump and radio TX; also probe the related rail during the same window. Discriminator: jitter only during pump/TX suggests injection; persistent drift suggests contamination/electrode leakage. First fix: add input RC + Schmitt conditioning and isolate pump rail return; then apply anti-fouling sensing strategy. ESD: Littelfuse SP0503BAHT.
Evidence path: H2-6 → H2-8 → H2-10
9) Motor movement causes Wi-Fi drop or camera stream interrupts — power or EMI?
First 2 measurements: scope Vradio/Vcamera during motor start and log PER/retry/session-drop counters (RSSI in parallel). Discriminator: rail dip with brownout/reset reason indicates power-driven; stable RSSI with PER spikes indicates EMI coupling. First fix: power-driven: reduce shared impedance and split rails; EMI-driven: slow edges and separate motor leads from antenna/returns. Power mux: TI TPS2121.
Evidence path: H2-7 → H2-10 → H2-11
10) RSSI looks normal but retries explode (stutter/mosaic) — what does it prove?
First 2 measurements: trend PER/retries versus motor PWM frequency/duty, and check whether the issue disappears with motor disabled. Discriminator: strong correlation to PWM state indicates EMI coupling rather than RF coverage. First fix: adjust motor edge rate, add targeted filtering, and keep return paths continuous near antenna and high-speed links. Example CMC: TDK ACM2012; ferrite: Murata BLM21PG.
Evidence path: H2-7 → H2-10
11) After power loss, alerts repeat or go missing — how to prove it’s “non-atomic logging”?
First 2 measurements: capture rail fall order (Vdigital should be last) and inspect sequence counter + commit marker across the outage. Discriminator: commit missing or counter repeats/rolls back indicates atomicity failure; premature Vdigital collapse indicates wrong power-down choreography. First fix: motor OFF → flush → commit → seq++ before rails drop; use FRAM for event journal (MB85RC256V / FM24CL64B). Backup controller: LTC4040.
Evidence path: H2-8 → H2-11
12) ESD/EFT causes a motor blip or false weight jump — which point is most decisive?
First 2 measurements: watch EN/PWM/control pins for sub-ms pulses during injection and probe Vdigital/Vanalog for dips with reset/fault markers. Discriminator: pin pulse without rail dip implies pin injection/default-state weakness; rail dip implies power-entry/return coupling. First fix: harden the hardware allow chain (default OFF), add TVS/RC at harness entries, and keep differential AFE protection symmetric. ESD array: Semtech RClamp0504B.
Evidence path: H2-9 → H2-10 → H2-11
FAQ Evidence Map Each FAQ closes a symptom using H2-3…H2-11 evidence only Symptom clusters Weight chain drift • jump • temp • 50/60Hz Motor / pump chain dose • jam • empty/run-dry Coexistence chain Wi-Fi drops • PER spikes • stream stutter Continuity & safety brownout ledger • ESD/EFT mis-act Evidence chapters H2-3 AFE H2-4 Algo H2-5 Motor H2-6 Low-X H2-7 Net H2-8 Power H2-9 Safety H2-10 EMC H2-11 SOP Closure rule Every answer must include: 2 measurements + 1 discriminator + 1 first fix + chapter evidence path. No cloud / gateway / nutrition content.
Figure F12 — FAQ evidence map: symptom clusters close through H2-3…H2-11 with measurable proof and a hardware-first fix.
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Use as an editorial guardrail: each FAQ must end with an evidence path to H2-3…H2-11.
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