Zhengzhou University scientific research team promotes the safe operation of urban pipeline networks

In recent years, there have been frequent flood disasters in my country's cities, and pipeline pollutants in the drainage pipe network have become increasingly serious. The urban drainage pipe network is an important infrastructure for drainage and disaster reduction, and it is a necessary condition for ensuring the normal operation of the urban system. Due to poor management, functional diseases such as accumulation of some drainage pipes are one of the important reasons for urban waterlogging.

In order to solve the problem of functional diseases existing in the urban drainage pipe network system, Zhengzhou University's "Intelligent City City" team proposed the intelligent monitoring system of the urban pipe network. "System" won the first prize of the Fourth Graduate Artificial Intelligence Innovation Contest of Zhengzhou University. After unremitting efforts, a set of full -process multi -functional pipe network maintenance intelligent decision -making system has been developed. The system integrates data in real time, intelligent pre -processing, pipeline functional disease diagnosis, waterlogging and water warning, and multi -target optimization. In terms of hardware and software, the intelligent diagnostic terminals and pipeline maintenance intelligent decision -making platforms have been developed, and the intelligent decision -making platform for maintenance of pipeline networks has been developed, real -time diagnosis reporting the hidden diseases of the drainage pipe network, and a set of effective detection systems. The system has the characteristics of high accuracy, low lapse, intelligent, automated, etc., which can provide information support for later personnel maintenance and create a smart pipe network to add brick -brick.

It is understood that the research results have been conducted on the spot in urban drainage pipelines. The monitoring data accuracy is high, and it has good economic and social value, and has a very broad market application prospect. It is believed that in the near future, the research results can be generally applied to urban drainage pipe network monitoring, realize the intelligentization of urban drainage pipeline governance, and protect the normal life of residents.

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