Automatic detection system for video integration power generation flood drainage, and method thereof

Abstract

The invention relates to an automatic detection system for video integration power generation flood drainage. The automatic detection system is characterized in comprising a plurality of collection terminals, a monitoring center server and a mobile terminal, wherein the collection terminal transmits data to the monitoring center server through wireless communication; and the mobile terminal can access the data of the monitoring center server through the wireless communication. The automatic detection system is an integration platform which combines the collection, the storage and the query ofwater and rainfall information data and images into a whole. The system takes the lead in combining traditional water and rainfall information, field images and early warning systems into a whole, andthe collection terminal basically realizes self power supply, no maintenance and channel self-adaption. The automatic detection system can favorably meet the disaster prevention alarming requirementsof unattended transformer substations, transformer substations with few people on duty and other power generation areas.

Description

technical field [0001] The invention relates to the field of automatic detection, in particular to an automatic detection system and method for video-information integrated power production and drainage. Background technique [0002] At present, the drainage facilities of substations and hydropower plants in my country are basically not equipped with automatic monitoring devices. The early warning and monitoring system for water level is mainly used in hydrological observation stations such as rivers and reservoirs, basically using professional water level sensors (such as floats, electric pressure sensors, ultrasonic sensors, optical fiber liquid level sensing devices, etc.), such as with special measuring wells, and A communication method based on general packet radio service (GPRS). [0003] At present, there is no integrated platform for water and rain monitoring for important drainage facilities of important substations in China. The ubiquitous water level monitoring ...

AI Technical Summary

Problems solved by technology

[0004] (1) The traditional water level measurement scheme is not suitable for drainage facilities in power production areas

Especially in the water level acquisition part, it is necessary to use the water level sensor with a special measuring well to eliminate water level fluctuations and block water impurities. The degree is low, and it is difficult to popularize and apply in places such as substations and power plant buildings

[0005] (2) The degree of visualization of collected data is not high

Due to the use of GPRS communication mode, the transmission bandwidth is limited, so that the accuracy of the measurement data cannot be verified. When the on-site sensor fails, the dispatching and maintenance personnel at the remote end cannot detect and deal with it in time, which seriously affects the accuracy of water level measurement. influences

Especially in the event of flood disasters, it is impossible to obtain real-time, accurate and intuitive data, which brings difficulties to emergency response work

[0006] (3) Single acquisition mode

Generally, it is set as a regular collection method with a fixed time interval, so the frequency of data acquisition is fixed, and the collection method is passive, which cannot be changed according to specific needs and time periods, and cannot meet the requirements of short-term intensive observation and key prevention during disasters

[0007] (4) Insufficient flexibility of data interaction

This creates limitations in the use of the system in terms of time and place, and at the same time, users cannot actively obtain relevant data

[0008] (5) Data analysis ability is not strong

Existing solutions generally only simply collect and retain the collected data, but do not analyze, manage and provide data report services, and cannot automatically analyze the law of water disasters at each monitoring point based on the data, so as to provide a basis for disaster prediction and prevention

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