센서1·3(누수 노드)에 PMS7003 를 온습도와 동일 sensor_id 로 통합하고 metric_type='pms7003'
로 구분해 수집한다. LED 는 스위칭 없이 상시 점등 방식으로 확정.
- raspberry_pi4_pms7003/: PMS7003 노드 풀세트(드라이버·센서·install·systemd·vendor·배선·연결테스트·프레임 단위테스트)
- 서버: evaluate_metric_thresholds() 에 pm25/pm10 선택 인자 추가(온습도 전용 호출 후방호환),
sensor_data.php 수집 경로에 pms7003 metric 반영, config.php/예시에 PM 임계 추가
- SQL: migration_pms7003.sql · schema_sht30.sql 정합, tools/migration_leak_add_{pms7003,sht30} 마이그레이터
- tests/pm_threshold_test.php + run_tests.sh 러너 등록
- .gitignore: 노드별 config_local.py 커밋 차단
|
||
|---|---|---|
| .. | ||
| systemd | ||
| tests | ||
| .gitignore | ||
| config.py | ||
| config_local.example.py | ||
| install.sh | ||
| pms7003_driver.py | ||
| pms7003_sensor.py | ||
| README.md | ||
| requirements.txt | ||
| test_connection.py | ||
| vendor.sh | ||
| wire.py | ||
| WIRING.html | ||
Particulate-Matter (PMS7003) Sensor Module — Raspberry Pi 4 Model B only
A module that reads a Plantower PMS7003 laser particulate-matter sensor over the Raspberry Pi 4
Model B UART and periodically reports PM1.0 / PM2.5 / PM10 (µg/m³, atmospheric concentration)
to the cafe24 server (php/api/sensor_data.php). The server stores the measurements and performs
high-PM2.5 / high-PM10 threshold evaluation, SMS, and dashboard display.
This is a Pi-only metric — there is no STM32 firmware for the PMS7003. The module is a faithful mirror of the SHT30 module (
../raspberry_pi4_sht30/): same measurement loop,startup→periodicevents, raw-body HMAC signing, and fail-closed secret handling. PM is a new metric on the existing metric pipeline — distinguished only bymetric_type="pms7003".The PMS7003 co-locates on an existing leak node and reports under the same
sensor_idas that node's leak sensor (Pi-C = 3, the other node = 1), exactly like the SHT30 co-location.
1. Files
| File | Role |
|---|---|
pms7003_sensor.py |
Main — periodic measurement → body build/sign → POST (with retry), startup→periodic |
pms7003_driver.py |
PMS7003 UART 32-byte frame read + checksum verification + PM decode (pyserial, simulation fallback) |
wire.py |
Body JSON + raw-body HMAC signature (fixed2/_esc/sign_raw copied verbatim from the SHT30 module) |
config.py |
Non-secret default settings (sensor id/interval/range/UART). Loads secrets from config_local |
config_local.example.py |
Operational/secret-value template → copy to config_local.py for use (not committed) |
requirements.txt |
Python dependencies (requests, pyserial, pinned) |
install.sh |
Pi 4 install (air-gapped offline + online fallback, enables UART + disables the serial console) |
vendor.sh |
Pre-download dependencies for air-gapped use (run on the build machine) |
tests/test_pms_wire_and_frame.py |
Pure unit tests: body byte-string, known HMAC, frame decode + checksum rejection (no hardware) |
systemd/pms7003-sensor.service |
Service unit for auto-start on boot |
2. Hardware (Pi 4 Model B baseline)
- Raspberry Pi 4 Model B (BCM2711) + Raspberry Pi OS Bookworm 64-bit
- PMS7003 laser PM sensor + its breakout/adapter cable
- Power: USB-C 5V/3A, network: Pi 4 Gigabit Ethernet (wired) or WiFi
2.1 Pinout (primary UART)
| PMS7003 signal | Pi 4 pin | Note |
|---|---|---|
| VCC | 5V (physical 2) | PMS7003 needs 5V power (fan + laser) |
| GND | GND (physical 6) | |
| TXD (sensor → Pi) | GPIO15 / RXD (physical 10) | 3.3V logic — safe direct to the Pi |
| RXD (Pi → sensor) | GPIO14 / TXD (physical 8) | optional (only needed for passive-mode commands) |
| SET / RESET | — | optional; leave floating (internal pull-up = enabled/run) |
The PMS7003 TXD idles at 3.3V logic, so it connects directly to the Pi RXD — no level shifter needed. We only read the sensor's TXD (active streaming mode), so wiring the Pi TXD→sensor RXD is optional.
3. Server compatibility (must verify)
This module reports to the current repo's php/ server. The server requires a raw-body HMAC signature.
X-Signature = lowercase_hex( HMAC-SHA256( key=API_KEY, msg=request body bytes ) )
API_KEYinconfig_local.pymust be exactly identical toAPI_KEYin the server'sconfig.local.php.- The server blocks replays via
timestampfreshness (±600 seconds), so the Pi clock must be NTP-synchronized (enabled by default on Raspberry Pi OS). - It reports with the co-located leak node's
sensor_id(3 by default, or 1 on the other node) andmetric_type="pms7003". - Threshold alerts (high PM2.5 / PM10), SMS, and recovery evaluation are all performed by the server. This module only reports measurements.
- The Pi-side
metric_statusis physical plausibility only (normal/out_of_range); the server never trusts it for alerting.
3.1 Wire body (fixed order)
{"device_id":"..","device_location":"..","sensor_id":3,"sensor_name":"..","event_type":"..","timestamp":0,"metric_type":"pms7003","pm1_0":8,"pm2_5":12,"pm10":18,"metric_status":"normal","app_version":".."}
pm1_0 / pm2_5 / pm10 are bare integers (µg/m³, atmospheric concentration, range 0..1000).
The body is built directly and raw-POSTed so the signed bytes == sent bytes.
4. Installation
4.1 Prepare configuration values
cp config_local.example.py config_local.py
# Open config_local.py and fill in API_URL / API_KEY / DEVICE_ID / DEVICE_LOCATION
# On the id=1 node also set SENSOR_ID = 1 (Pi-C keeps the default 3).
If config_local.py is missing, execution stops immediately with a clear error (fail closed).
Never commit config_local.py or API_KEY (handled by .gitignore).
4.2 Online install (internet-capable environment)
chmod +x install.sh
./install.sh
sudo reboot # reboot once — the installer enables UART and disables the serial console
4.3 Air-gapped offline install
On an internet-connected machine of the same architecture (aarch64, ideally the same Pi 4 + Bookworm 64-bit), download the dependencies first to build a bundle, then move it to the target Pi 4 and install.
# (build machine, internet YES) generate wheelhouse/ + debs/
./vendor.sh
# after copying wheelhouse/ and debs/ into this folder on the target Pi 4:
# (target Pi 4, internet NO)
./install.sh # if debs/ · wheelhouse/ exist, it installs offline automatically
pyserialis pure Python (arch-independent), so it can be downloaded on an x86 build machine. Other wheels/debs such asrequestsmust be the aarch64 builds (runningvendor.shon the target arch is recommended).
5. Run / check
# UART present? (should symlink to ttyS0 or ttyAMA0)
ls -l /dev/serial0
# pure wire/frame self-check (passes without hardware or config_local.py)
python3 tests/test_pms_wire_and_frame.py
# actual run (simulation mode if pyserial missing / UART unavailable)
source venv/bin/activate
python3 pms7003_sensor.py
In environments without pyserial installed or with the UART unavailable (dev PC, etc.), it automatically runs in simulation mode.
6. Auto-start on boot (systemd)
# assumes the folder is placed at /home/pi/raspberry_pi4_pms7003 (otherwise edit the path in the .service)
sudo cp systemd/pms7003-sensor.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable pms7003-sensor
sudo systemctl start pms7003-sensor
sudo systemctl status pms7003-sensor
journalctl -u pms7003-sensor -f
SupplementaryGroups=dialout is required for /dev/serial0 access.
7. Security notes
- Secrets (
API_KEY), server URL, and device info live only inconfig_local.py(not committed). Committed files contain only placeholders. - The report body is protected against tampering by an
HMAC-SHA256(API_KEY, raw_body)signature (X-Signatureheader) (immune to length-extension attacks). The legacy body-field sha256 fallback is disabled by default on the server. - The signed bytes and the transmitted bytes are always identical (
wire.pybuilds the body directly, signs those bytes, then raw POSTs).fixed2/_esc/sign_raware copied verbatim from the SHT30 module so signing stays byte-for-byte identical to the shared reference / serververify_signature_raw. - If
config_local.pyis exposed, immediately rotateAPI_KEY(change it on the server at the same time).