基于智能传感器的评标系统故障诊断  

Fault diagnosis of bid evaluation system based on intelligent sensor

作　　者：王耀方延 李雅然 韩靖雯 丁娜 WANG Yaofangyan;LI Yaran;HAN Jingwen;DING Na(State grid Shaanxi Electric power Co.,Ltd.,Material company,Xi’an 710000,China)

机构地区：[1]国网陕西省电力有限公司物资公司,西安710000

出　　处：《自动化与仪器仪表》2024年第11期298-301,共4页Automation & Instrumentation

摘　　要：针对评标系统中投标信号不稳定以及能量消耗等故障问题,研究通过引入无线传感器和遗传退火算法对评标系统故障进行识别分类。无线传感器与遗传算法对失效的评标任务进行高效分配,然后通过负载均衡与能量消耗的指标对评标故障进行识别分类。结果表明,研究提出方法的故障诊断准确性达到99%,故障诊断平均适应度值由0.049提升至0.060。研究证实了智能传感器在提高评标系统故障诊断效率具有较好的准确性,为后续评标系统优化提供新的思路。Aiming at the problems of unstable bid signal and energy consumption in bid evaluation system,wireless sensor and genetic annealing algorithm are introduced to identify and classify the bid evaluation system faults.The wireless sensor and genetic algorithm efficiently allocate the failed bid evaluation tasks,and then identify and classify the bid evaluation faults by load balancing and energy consumption indicators.The results show that the fault diagnosis accuracy of the proposed method reaches 99%,and the average fitness value of fault diagnosis increases from 0.049 to 0.060.The research proves that the intelligent sensor has good accuracy in improving the fault diagnosis efficiency of the bid evaluation system,which is a new idea to optimize the system for the subsequent bid evaluation system.

关 键 词：智能传感器 评标系统 遗传退火算法 故障 

分 类 号：TN209[电子电信—物理电子学] TP206[自动化与计算机技术—检测技术与自动化装置]