Heterogeneous network communication-based urban inland inundation monitoring and information service system and monitoring method

Abstract

The invention discloses a heterogeneous network communication-based urban inland inundation monitoring and information service system, which comprises a data acquisition layer, a transmission control layer, a dispatching management layer and an information distribution layer. The invention also discloses a monitoring method of the heterogeneous network communication-based urban inland inundation monitoring and information service system. The method is based on heterogeneous network communication, and comprises the following steps of firstly measuring an inland inundation parameter and an equipment working condition parameter by a sensor and the like, and acquiring the inland inundation parameter and the equipment working condition parameter by a measurement and control module, and sending the acquired parameters to a wireless communication gateway; then, sending to a management center server for processing, issuing a control command by the management center server according to processing results, sending the control command to the measurement and control module so as to control corresponding control equipment; meanwhile, sending service information to an information service terminal by the management center server through the internet and a short message GSM (global system for mobile). The heterogeneous network communication-based urban inland inundation monitoring and information service system and the monitoring method thereof disclosed by the invention have the advantage that urban inland inundation loss is greatly reduced by omnibearing urban digitized draining and waterlogging control guidance dispatching management, and the like.

Description

technical field [0001] The invention relates to a monitoring technology for urban waterlogging, in particular to an urban waterlogging monitoring and information service system and a monitoring method based on inter-network communication. Background technique [0002] Every time it rains, it will be flooded, and every rainstorm will make it paralyzed. Now it has become a common problem in many large and medium-sized cities at home and abroad. Regarding the hot topic of urban waterlogging, many developed European and American countries have carried out research and exploration to varying degrees, using computer-assisted methods for monitoring, early warning, and simulation. FloodWorks (online urban flood forecasting and early warning system) in Wallingford, UK, can conduct real-time analysis of urban rainstorm water accumulation, assess flood risk, water accumulation scope and impact degree, etc. The SWMM (Storm and Flood Management Model) of the US EPA has a strong simulati...

AI Technical Summary

Problems solved by technology

[0005] (1) Many scholars in China have carried out research work on the information system of urban waterlogging, but there is still a big gap compared with foreign countries, and there are still some problems in the actual realization, such as insufficient capital investment, insufficient information materials, Difficulty in data sharing, weak application foundation, few practical applications, etc., need more in-depth research

[0006] (2) At present, many cities in my country rely too much on meteorological information for monitoring and early warning of urban waterlogging. Waterlogging monitoring still stays in the way of "person patrol", "vehicle patrol" or installation of camera monitoring. These methods are slow, Defects such as small amount of data, poor continuity, time lag, etc., failed to allow relevant departments to quickly, timely and accurately grasp the waterlogging situation during heavy rains, and failed to take corresponding measures and early warnings of waterlogging in a timely manner.

[0007] (3) The existing waterlogging early warning system mainly uses numerical simulation methods for flood research, and combines 3S (GPS, GIS, RS) technology to realize waterlogging prediction and early warning, but the actual effect is not ideal

However, a good model requires a large amount of accurate data as support. Since the hydrological, geographical, and meteorological data of most cities are not complete, the simulation results have low accuracy, poor reliability, and large errors.

At the same time, the precipitation information from the automatic rainfall station monitoring required in the model cannot reflect the current waterlogging situation caused by heavy rains in real time due to the long sampling interval and poor real-time performance.

[0009] At present, the treatment of the waterlogging problem in our country only focuses on the research of water accumulation points, while ignoring the research on the entire drainage system, which cannot effectively solve the current problem

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