Intelligent monitoring and early warning method for small and medium-sized reservoir dams based on edge calculation

Abstract

The invention discloses an intelligent monitoring and early warning method for small and medium-sized reservoir dams based on edge calculation, and the method comprises the following steps: obtainingthe safety monitoring data of the reservoir dams through a monitoring sensor and a data collection terminal, and transmitting the safety monitoring data to an in-situ edge gateway, the edge gateway performing data missing detection and supplementary detection; uploading the effective data to a cloud service platform through mobile communication; issuing a dam safety prediction model obtained by training of the cloud service platform to the edge gateway, and the edge gateway drawing up an early warning index according to the prediction model and carrying out in-situ seepage and deformation real-time early warning, so that the intelligent level of reservoir dam safety monitoring and early warning is improved. According to the invention, a central machine room does not need to be constructedin a dam area for data processing, dam safety prediction and early warning can be realized only through the monitoring data and the edge gateway, the work intensity of management personnel is reduced,and the reservoir dam safety early warning efficiency is improved.

Description

technical field [0001] The invention relates to the field of reservoir dam safety monitoring and early warning and water conservancy informatization, in particular to an intelligent monitoring and early warning method for small and medium-sized reservoir dams based on edge computing. Background technique [0002] There are more than 98,000 reservoir dams of various types in my country, of which 99.2% are small and medium-sized reservoirs (the classification of reservoirs is determined according to the "Classification of Water Conservancy and Hydropower Projects and Flood Standards" (SL252-2017)), and medium and small dams account for 99.2%. Most of the small reservoirs were built in the 1950s to 1970s. Due to the historical influence and economic and technical constraints at that time, many reservoirs had different degrees of danger. Once they crashed, they would cause immeasurable social and economic losses. Safety monitoring is an important means to evaluate the safety stat...

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Problems solved by technology

[0003] At present, most small and medium-sized reservoirs still carry out safety monitoring data collection and analysis based on the computer room management center. This model requires the construction of a dedicated computer room, equipped with computers, network equipment, constant temperature and humidity equipment, electrostatic floors, etc., which is expensive and difficult to operate and maintain. , and the computing power is limited, the data is closed and not circulated, it is difficult to adapt to the safety management requirements and development trends of small and medium-sized reservoirs and dams

[0004] With the rapid development of modern information technology, the combination of security monitoring terminals with the Internet of Things and cloud computing can realize comprehensive perception and intelligent management of multi-source information, but there are still many shortcomings: (1) It is difficult to guarantee real-time requirements

In the cloud computing model, the data needs to be uploaded to the cloud computing center for processing. The processing speed is affected by many factors such as network bandwidth, center computing capacity, and total computing tasks. It is difficult to meet the timely response and safety warning in case of reservoir emergency; (2) Excessive dependence on the communication network environment at the reservoir site

Once the communication network is interrupted, the on-site data will not be uploaded to the cloud, and real-time monitoring and early warning of the reservoir and dam will not be possible.

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