基于GPRS和BP神经网络的热力管网泄漏监测系统

Heating pipeline leak age detection system based on GPRS and BP neural network

针对管网泄漏监测的现状,设计并实现了一种热力管网泄漏监测系统。该系统结合传感器、GPRS无线通信技术和BP神经网络算法,实现了实时获取传感器数据、分析泄漏情况的热力管网泄漏监测系统。文章介绍了系统框架结构,描述了系统的硬件结构,阐述了系统各功能模块的设计与实现过程,并在模拟的管道工况上进行了测试。测试结果表明,该系统运行稳定,分析准确,具有一定的实用价值和推广价值。

Considering the present situation of the heating pipeline leak age detection, a heating pipeline leakage detection system is designed and implemented. By combining the sensors, GPRS wireless communication technology and BP neural network algorithm, the heating pipeline leakage detection system achieved has a set of functions such as acquiring the real-time data of sensor and analyzing the situation of pipeline system. In this paper, the system frame structure is introduced, the system hardware structure is described, the design and implementation process of each function module in the system are set forth, and the system has been tested in the simulated pipeline condition. The test results show that the system is stable, accurate, has practical value and promotional value.