A chemical process safety risk early warning system based on edge computing
CN121599478BActive Publication Date: 2026-08-28GUANGDONG SAFETY PROD TECH CENT CO LTD
Patent Information
- Application Number
- CN202511794522.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-02
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2045-12-02
AI Technical Summary
Technical Problem
但在实际部署过程中，CatBoost模型仍存在计算资源消耗大、模型结构复杂、推理效率低等问题，不适合直接应用于边缘设备
Benefits of technology
[0061]本发明基于边缘计算的化工过程安全风险预警系统，首先通过构建有序目标统计模块、自适应对称树模块和边缘轻量模型模块，打通了化工装置现场数据的采集、建模、预测与更新的闭环链路。该系统利用边缘计算节点对实时过程数据进行采集和结构化处理，借助改进型CatBoost模型实现高效的有序特征编码与树模型训练，有效提升了对类别型数据的建模效果，保障了预测的稳定性与准确性。
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Abstract
The application discloses a chemical process safety risk early warning system based on edge computing, comprising an edge computing module, which is used for receiving real-time process data of a chemical device and generating structured feature data; an ordered target statistical module, which is used for receiving the structured feature data and generating target statistical data; an improved CatBoost model module, which is used for receiving the target statistical data and generating a chemical process safety risk early warning prediction result; an edge lightweight model module, which is used for performing preprocessing on the improved CatBoost model after training and generating an edge deployment model version; a risk assessment module, which is used for generating chemical process safety risk early warning information; and a communication interface module, which is used for sending the chemical process safety risk early warning information to a field operation terminal. The application realizes a closed-loop system of real-time data processing, autonomous risk prediction and field early warning linkage in a chemical production field.
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Citation Information
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