基于GAPSO算法的人工智能污水监测故障诊断技术  

Artificial intelligence sewage monitoring fault diagnosis technology based on GAPSO algorithm

作　　者：孟金龙 尹桂博 杨平科 MENG Jinlong;YI Guibo;YANG Pingke(Shandong Zhengyuan Geophysical Information Technology Co.,Ltd.,Jinan 250101,China)

机构地区：[1]山东正元地球物理信息技术有限公司,山东济南250101

出　　处：《粘接》2024年第5期121-124,共4页Adhesion

摘　　要：针对污水监测故障智能化诊断滞后的问题,提出一种人工智能化方案,通过改进型GAPSO算法对污水监测故障进行诊断和分析,结合遗传算法的核心思想,在GAPSO算法中设置不同类型的编码器,以提高GAPSO算法的计算能力和应用能力。建立多功能智能污水监控报警系统,由DSP技术、ARM处理器技术和FPGA搭建系统框架。系统的核心处理模块为集中控制器的STM32F103RCT6单片机,危险污水检测模块使用MQ-2传感器,报警模块组合使用LED灯,大大提高了污水现场监控能力。实验结果表明,所提研究方法评估采集精度高达99.68%,报警时间快,评估能力强,收敛速度快。Aiming at the problem of lagging behind in the intelligent diagnosis of sewage monitoring faults,an artificial intelligence scheme was proposed,which diagnosed and analyzed the sewage monitoring faults through the improved GAPSO algorithm,combined with the core idea of genetic algorithm,and set different types of encoders in the GAPSO algorithm to improve the computing power and application ability of the GAPSO algorithm.The multifunctional intelligent sewage monitoring and alarm system was established,and the system framework was built by DSP technology,ARM processor technology and FPGA.The core processing module of the system was the STM32F103RCT6 single chip microcomputer of the centralized controller.The MQ-2 sensor was used in the hazardous sewage detection module,and the LED lamp was used in the alarm module,which greatly improved the sewage field monitoring ability.The experimental results showed that the acquisition accuracy of this research method was up to 99.68%,the alarm time was the fastest,the evaluation ability was strong,and the convergence speed was the fastest.

关 键 词：污水监测 智能化诊断 GAPSO算法 编码器 监控报警 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TQ085[自动化与计算机技术—控制科学与工程]