面向危险化学品运输监测系统的信息融合模型构建

设计一种可用于危化品运输全过程安全状态实时监测的多参数监测系统,并以该系统为基础,构建面向危化品运输安全监测系统的多传感器信息融合模型。该模型综合利用系统监测到的多种参数信息,通过数据预处理、特征提取和状态判决、形势判决、危险态势估计和预测等4个级别的信息融合,结合危险报警模块和数据库管理系统,自动分析被测数据,最终达到对危化品运输安全分类、分级、分层次报警的目的。以该模型为基础讨论部分信息融合算法并设计相应的软件,在实际构建的针对液化石油气的危化品安全监测系统中进行应用试验,结果说明了信息融合模型的有效性。

An Information Fusion Model for Hazardous Chemicals Transportation Monitoring System

A real-time,multi-parameter transportation equipment monitoring system was designed to trace the full transporting process of hazardous chemicals.Based on this system,an information fusion model for hazardous chemicals transportation monitoring system was built up.This model comprehensively uses the detected multiple parameter information,danger warning block and database management system to automatically analyze the detected data through four levels' information fusion technology including data preprocessing,feature extracting and state judging,situation judging,dangerous situation estimating and forecasting,and ultimately achieves the aim of classifying,grading and delaminating the warning of hazardous chemical transportation safety.Several information fusion algorithms were discussed based on the model,and corresponding software was designed and applied to the experimentation of the constructed hazardous chemical transportation monitoring system,such as liquefied petroleum gas.Results demonstrate the proposed information fusion model is effective.