Intelligent water resource control platform based on cloud computing and expert system

Abstract

The invention discloses an intelligent water resource control platform based on cloud computing and an expert system. The platform comprises a site measurement and control station, an internet of things data transmission system and a cloud computing service platform, and is characterized in that the control platform carries out automatic real-time collection on water resource information of a water supply water source, underground water, a water intake, a boundary control fracture surface and a sewage draining exit and site equipment operating condition information through the site measurement and control station, and real-time data preprocessing is achieved by means of an additionally installed site intelligent controller; internet of things data transmission equipment is adopted in the internet of things data transmission system to sent data of the measurement and control station to the cloud computing platform, and data support is provided for water resource management and advanced applications; the cloud computing service platform achieves real-time monitoring on water resources, monitoring on operating condition and remote on-line maintenance on site monitoring equipment and applications on water resource service, and a water resource decision is utilized to support the expert system to achieve assessment, early warning and emergency commanding of the water resources. The cloud computing and the Internet of things technology are applied to the platform, so measurement and control data are timely and efficiently processed, the intelligent computing technology is applied so that intelligent assessment and early warning of the water resources can be achieved, and safety of the water resources is guaranteed to a great extent.

Description

Technical field: [0001] The invention relates to a new type of intelligent water resources management and control platform, which uses cloud computing, Internet of Things technology, measurement and control technology, expert system and intelligent computing technology to realize intelligent monitoring and management of water resources, and belongs to the technical field of water affairs systems. Background technique [0002] At present, the water quality of major rivers and lakes in my country is generally deteriorating, and the task of monitoring water resources is very heavy. In order to meet the needs of the development of water resources management and protection work, it is urgent to improve the level of automation, intelligence, modernization and management institutionalization of water resources monitoring technology. The water resource management system is supported by computer technology, automatic monitoring technology, and wireless transmission technology, and es...

AI Technical Summary

Problems solved by technology

Moreover, water resources management in different levels of regions requires huge investment in the construction of such data centers, and the construction cost is very high

[0006] Lacking a unified data communication protocol and sharing platform, the construction of water resources is carried out in different regions and systems, forming a large number of isolated information islands, which cannot achieve the goal of large water affairs construction; with the advancement of water resources construction in various places, monitoring The number of nodes will also increase dramatically, but the collected data is only intelligently used within the independent system, and information sharing and integrated applications cannot be realized between water resource management systems at different levels and in different regions, resulting in more isolated islands of information and duplication of information. The waste caused by construction is very serious

[0007] Traditional water resource management systems generally do not have data parallel processing and distributed processing capabilities, and system performance is largely limited

[0008] The data center lacks an effective expert system, and the data analysis and processing capabilities are not high enough to provide more intelligent decision support for water resources

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