Sensor Data Aggregator
Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.
Why use this skill?
Monitor and analyze construction IoT sensor data with the OpenClaw Sensor Data Aggregator. Detect safety anomalies and improve site efficiency.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/datadrivenconstruction/sensor-data-aggregatorWhat This Skill Does
The Sensor Data Aggregator is a robust OpenClaw skill designed to ingest, process, and analyze heterogeneous IoT sensor data from construction environments. It acts as the central intelligence hub for disparate hardware, ranging from simple environmental sensors (temperature, humidity) to complex structural monitoring tools (strain, tilt, vibration). By standardizing these streams through a unified validation and transformation pipeline, the skill allows you to move from raw data points to actionable insights. It continuously monitors incoming metrics, performs statistical anomaly detection based on configurable thresholds, and triggers tiered alerts—ranging from routine status notifications to emergency safety signals. This ensures that site managers, engineers, and safety officers can maintain visibility into site health, equipment efficacy, and worker safety in real-time.
Installation
To integrate the Sensor Data Aggregator into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/datadrivenconstruction/sensor-data-aggregator
Ensure that you have the necessary permissions configured for the skill to communicate with your existing IoT gateway or MQTT broker endpoints.
Use Cases
- Safety Compliance: Monitor noise levels and air quality indices in real-time to ensure compliance with occupational health regulations.
- Structural Health Monitoring: Detect abnormal vibration or strain patterns in temporary scaffolding and heavy machinery to prevent structural failure.
- Environmental Tracking: Correlate temperature and humidity data to manage curing conditions for concrete pours, optimizing project timelines and material integrity.
- Resource Management: Track equipment location via GPS data and correlate it with vibration or usage patterns to monitor idle time and machine health.
Example Prompts
- "Analyze the last 24 hours of vibration data for the tower crane and alert me if there were any readings exceeding the 0.5g safety threshold."
- "Generate a summary report of air quality and dust levels for the north site sector and compare it with the previous week's average."
- "Set up a monitoring rule to trigger an emergency alert if the structural strain sensors on the support beams indicate any movement greater than 2mm."
Tips & Limitations
To maximize the utility of this skill, ensure your sensor calibration is synchronized across all deployment nodes; drifting timestamps can lead to inaccurate anomaly detection. Note that the data processing load scales linearly with the number of sensors. For large-scale sites with thousands of nodes, implement local edge filtering before sending data to the aggregator. The skill is designed for monitoring; it cannot physically control heavy machinery or autonomously shut down systems without an integrated secondary actuation layer.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-datadrivenconstruction-sensor-data-aggregator": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: data-collection, external-api
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