Urban drainage network monitoring and controlling system based on big data

Abstract

The invention discloses an urban drainage network monitoring and controlling system based on big data. City-level monitoring modules upload disaster condition data of corresponding cities to distributed servers, and the city-level monitoring modules divide the cities into several monitoring zones with the same area; a district-level monitoring module and a plurality of data collecting modules arearranged in each monitoring zone, and the data collecting modules are arranged at the low positions in the monitoring zones. By means of the system, each collecting point can be monitored, and it is guaranteed that the drainage capacity is stable; division can be performed according to different field conditions, targeted response measures are taken, and the accuracy of the response measures is improved; the nationwide monitoring zones are graded based on the drainage capacity, a template and reference are provided for the transformation of urban drainage networks in the future, meanwhile, data can be provided for the early warning function for comparison and reference, and the accuracy of the early warning function is improved; with the early warning function, preparation time is earned for fighting flood and water accumulation, and losses caused by the disaster are reduced.

Description

technical field [0001] The invention relates to the field of drainage monitoring, in particular to a big data-based urban drainage network monitoring and control system. Background technique [0002] The urban drainage system is an engineering facility system that treats and removes urban sewage and rainwater. After a long period of use, it is prone to blockage, resulting in the formation of local water accumulation during rainfall, and in severe cases, the formation of large-scale water accumulation disasters. At the same time, during the rainy season When the rainfall and rainfall intensity are large, flood disasters are likely to occur in areas with weak drainage capacity, causing huge economic losses. [0003] The existing method is to regularly dredge the drainage network and take countermeasures in advance according to the weather forecast. However, regular dredging is time-consuming and labor-intensive, and the amount of work is large. It is impossible to quickly and ...

AI Technical Summary

Problems solved by technology

It is impossible to give detailed rainfall data, and the forecast is usually one to three days, the accuracy is low, and the latest rainfall data cannot be obtained in time, resulting in a mismatch between the response measures and the actual situation, resulting in poor early warning effect

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