A Grease Interceptor (GI) is essential equipment designed to intercept fats, oils, and grease (FOG) from commercial and industrial kitchen wastewater, preventing pipe blockages and environmental pollution.
 
Our LoRa-powered intelligent monitoring solution integrates sensor nodes, gateways and HMI to realize real-time supervision of oil levels, water quality indicators (including COD and oil concentration) and equipment operating status. The system supports automatic abnormality alarms, intelligent process adjustment and report generation.
 
By digitizing grease trap management, we help catering businesses reduce operation and maintenance costs, lower environmental risks, achieve efficient and compliant wastewater treatment, and support sustainable urban environmental management.

Are You Also Facing the Pain Points of Traditional Wiring Solutions?

Complex Construction and High Costs

  • Traditional solutions require road excavation and cable laying, resulting in long construction cycles and high labor and material costs.
  • In urban renovations, tangled pipelines increase construction difficulty, even disrupting traffic and residents’ daily lives.

Difficult Maintenance

  • Frequent issues such as sensor failures, pipeline clogging and abnormal oil accumulation make it hard to quickly locate faults, reducing maintenance efficiency.
  • Manual inspections are time-consuming and labor-intensive, with no real-time monitoring of grease interceptor operation and oil level status.

High Energy Consumption and Poor Scalability

  • Lack of intelligent management makes remote monitoring, abnormal alerting and other efficient management functions impossible.
  • Fixed wiring in traditional solutions limits flexibility, requiring re-construction for adding or upgrading monitoring devices.

The LoRa-based Grease Interceptor Sensor Solution consists of terminals (sensor nodes), gateways, and HMI. It enables real-time oil-level monitoring and automated alerts, significantly reducing operational costs and ensuring environmental compliance. By digitizing grease trap management, the system enhances efficiency and supports sustainable urban wastewater management.

Program Architecture

  • ✅ Smart Sensing Layer (Water Level + Water Quality)
    Multi-parameter water quality sensors (COD, ammonia nitrogen, pH, turbidity, liquid level, oil concentration) .
  • ✅ Network Transmission Layer (Stable Communication)
    LoRa gateways provide full-scene coverage with strong penetration; 4G/wired dual backhaul supports real-time data upload to the cloud and localized deployment, adapting to various on-site environments.
  • ✅ Cloud Management Platform (Intelligent Analysis)
    Real-time over-limit alerts for water level and water quality to achieve efficient management.
  • ✅ Application Layer (Remote Monitor)
    Water level and water quality can be remotely monitored via mobile APP/web, with real-time data viewing to improve operational efficiency.

Multi-scenario Compatibility · Intelligent Monitoring, Cost & Efficiency Enhancement

  1. Real-time Data Visualization: HMI displays real-time data (liquid level, equipment status) for intuitive grasp of grease trap conditions;
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  3. Multi-level Alarm Trigger: Immediate alarm when either ① any float level switch is triggered, or ② any radar sensor detects preset threshold;
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  5. On-site Visual Warning: The HMI displays alarm information instantly, the alarm light switches from green to red, and the audible and visual alarm is activated simultaneously for rapid on-site detection;
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  7. Intelligent Delayed Email Alarm: No immediate email to avoid false alarms. Level 1 email sent to preset O&M personnel when alarm persists for T1 (e.g., 30 mins), with hourly resending if alarm continues;
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  9. Level 2 Upgrade Warning: Automatic Level 2 email sent to another preset group when alarm exceeds T2, preventing serious faults from delayed handling.

Remote Monitoring

Real-time tracking of liquid level, and temperature via LoRa wireless transmission.

Intelligent Alerts

Automatic notifications when grease accumulation exceeds thresholds, preventing overflows

Predictive Maintenance

Data-driven insights optimize cleaning schedules, reducing manual inspections.