Construction and practice of an evaluation system for intelligent safety design in an IoT environment
物联网环境下智能安全设计的评估体系构建与实践

摘要

为评价物联网环境下智能安全系统，构建由目标层、准则层和指标层组成的“三层六维双判据”体系，从安全性、可靠性、智能性、环境适应性、运行效率、经济与绿色性6个维度设置指标，采用“安全门槛+绩效改进”方法，并以选煤厂智能安全供配电系统验证。结果表明：身份识别精度100%，系统无故障运行时间≥99.9%，数据查询响应≤1.5 s，非计划停电识别准确率92.5%、平均响应≤4.2 min；应用后停送电耗时缩短40%以上，故障停机减少50%，维护效率提高30%，吨煤电耗由2.96 kW•h/t降至2.51 kW•h/t。该体系可同时表征安全底线与运行绩效，为燃气、供热等能源物联网系统安全评价提供参考。

Abstract

To scientifically evaluate the design and operation level of intelligent safety systems in an industrial Internet of Things (IIoT) environment, a three-layer, six-dimension and dual-criterion evaluation system is established to overcome the limitations of single accuracy indices or subjective composite scores. The system consists of target, criterion and indicator layers, covering safety, reliability, intelligence, environmental adaptability, operational efficiency, and economic/green performance. A dual method combining mandatory safety thresholds with performance-improvement evaluation is adopted and verified using an intelligent safe power-distribution system in a coal preparation plant. The identity-recognition accuracy was 100%, system uptime was at least 99.9%, data-query response time was within 1.5 s, and unplanned-outage identification accuracy reached 92.5% with an average response time within 4.2 min. After application, power-switching operation time decreased by more than 40%, equipment-failure downtime decreased by 50%, maintenance efficiency increased by 30%, and specific electricity consumption decreased from 2.96 to 2.51 kW•h/t. The proposed system integrates safety bottom-line requirements with intelligent operating performance and can provide a reference for safety evaluation of gas, heating and other energy IIoT systems.