Internet of things service system and method of risk analysis and early-warning of urban road rainstorm and waterlogging

Abstract

The invention relates to an Internet of things service system and method of a risk analysis and early-warning of urban road rainstorm and waterlogging, which are characterized by including a user layer, a presentation layer, a model layer, and a data layer. The user layer is used to provide different types of agents with an interface and to make it convenient for users of different types of agents to log in the service system. The presentation layer is used to collect basic data input by different types of agents and related to the risk analysis of the urban road rainstorm and waterlogging, and to display risk assessment results. The model layer is used to conduct information optimization and information integration on the collected basic data, and to establish a risk assessment model to evaluate risk information and send the risk assessment results to the presentation layer. The data layer is used to classify and store all the data involved in the user layer, the presentation layer and the model layer to make it convenient to search for and maintain later. The Internet of things service system and method of risk analysis and early-warning of urban road rainstorm and waterlogging can be widely applied to the risk analysis and the early-warning of the urban road rainstorm and waterlogging.

Description

technical field [0001] The invention relates to the field of urban road storm waterlogging risk management, in particular to an urban road rainstorm waterlogging risk analysis and early warning intelligent networking service system and method. Background technique [0002] In recent years, with the frequent occurrence of extreme rainstorm events and the continuous advancement of my country's urbanization process, urban rainstorm and waterlogging events have become more frequent, which has had a greater impact on urban comprehensive management, enterprise production, and residents' lives. Road waterlogging is the main form of rainstorm and waterlogging affecting residents' life. Carrying out risk management of rainstorm and waterlogging on urban roads is an important way to reduce risks and losses to achieve sustainable development. For this reason, it is extremely important to carry out research on the monitoring and early warning of urban rainstorm and waterlogging risks in...

AI Technical Summary

Problems solved by technology

[0003] At present, there are many methods for studying urban rainstorm and waterlogging problems, such as hydrological and hydraulic simulation method, comprehensive index system method, historical disaster situation mathematical statistics method, etc., although these methods have certain academic and application value in urban rainstorm and waterlogging problems However, there is still a lack of simpler and more effective methods to support decision-making services, professional services, and public services for urban rainstorm and waterlogging issues.

With the maturity of network technology, especially mobile Internet technology, the problem-solving model based on group participation has gradually been applied, and the application of Volunteer Geographic Information (VGI) technology has become more and more extensive. For example, Citysourced is a relatively A popular participatory mobile application through which citizens can give feedback on various urban environmental issues; online map platforms such as Sogou Maps, Baidu Maps, and AutoNavi Maps provide collection and display of historical urban waterlogging information through user participation However, its output is only a simple list of information, and the source of information is single, lacking functions such as multi-source information acquisition, information processing, risk assessment, and early warning release for urban rainstorm and waterlogging risk problems

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