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IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | geo-infer-iot |
| description | IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines. |
| prerequisites | {"required":["geo-infer-data","geo-infer-time"],"recommended":["geo-infer-space"]} |
| difficulty | intermediate |
| estimated_time | 45min |
| examples_dir | ../GEO-INFER-EXAMPLES/examples/ |
from geo_infer_iot.core.ingestion import MQTTIngestionEngine
from geo_infer_iot.core.quality_control import SpatialQualityChecker
from geo_infer_iot.core.device_management import DeviceRegistry
from geo_infer_iot.core.ingestion import MQTTIngestionEngine
engine = MQTTIngestionEngine(broker="mqtt.example.com", port=1883)
engine.subscribe("sensors/temperature/#")
@engine.on_message
def handle_temperature(topic, payload):
lat, lng = payload["location"]
temp = payload["value"]
print(f"Sensor at ({lat}, {lng}): {temp}°C")
engine.start()
from geo_infer_iot.core.quality_control import SpatialQualityChecker
checker = SpatialQualityChecker(bounds=(-90, -180, 90, 180))
clean_data = checker.validate(raw_readings)
print(f"Passed: {len(clean_data.valid)}, Rejected: {len(clean_data.outliers)}")
try/except with lightweight fallback adapters for graceful degradationuv run python -m pytest GEO-INFER-IOT/tests/ -v