Municipal pipe network slit-eliminating robot based on BP neural network and working method thereof

Abstract

The invention discloses a municipal pipe network slit-eliminating robot based on a BP neural network and a working method. The municipal pipe network slit-eliminating robot comprises a robot body, wherein tires are arranged at the bottom of the robot body, a battery pack, a BP calculation module and a motor set are arranged on the robot body, a storage bin is arranged in the robot body, the front of the robot body is an inclined plane, sliding rail tracks are arranged at the two sides of the inclined plane, a scraper knife and a slit sucking roller which can slide on the sliding rail tracks are arranged at the front part of the robot body, an infrared detector is arranged at the front part of the robot body, the infrared detector is connected with the BP calculation module, and the BP calculation module is connected with the slit sucking roller and the scraper knife by virtue of the motor set. The municipal pipe network dredging robot is smaller in structure and can enter a narrow municipal pipe network to eliminate slit, so that the personal safety problem of artificial slit eliminating is solved, a worker can be avoided from being exposed to a traffic lane for a long time, self security coefficients of the worker are greatly improved, and the problem that slit of the pipe network can not be thoroughly eliminated by using a large-scale high pressure washing vehicle is solved.

Description

technical field [0001] The invention belongs to the field of pipeline dredging, and in particular relates to a municipal pipeline network dredging robot based on BP neural network and a working method. Background technique [0002] As the main infrastructure of urban construction, the municipal pipe network is also an important means of urban flood control and drainage. It is closely related to people's lives, and it is also of great significance to the economic development of the city. As an indispensable and important infrastructure in modern cities, the maintenance of municipal pipe network is of great significance to the development of urban economy, and it is the main measure for urban water pollution prevention, drainage and flood control. As the main means of urban water supply, water pollution prevention and control, and flood control and flood drainage, the municipal pipe network will cause sewage to be unable to be discharged if the pipes are often silted up and bl...

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to overcome above-mentioned deficiency, provide a kind of municipal pipe network dredging robot and working method based on BP neural network, solve the problem of using manual dredging because the pipe diameter of municipal pipe network is too small to enter, but manual dredging It takes a long time, the labor cost is too high, and the occupation of roads is easy to cause traffic jams and other problems

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