Riverway illegal sewage drain detection robot fish

Abstract

The invention discloses a riverway illegal sewage drain detection robot fish comprising a bionic fish assembly, a controller, a water quality sensor, a river flow velocity and sonar sensor and a GPS (global position system) positioning component, wherein the controller, the water quality sensor, the river flow velocity and sonar sensor and the GPS positioning component are installed on the bionic fish assembly. The sensors are utilized for accurately positioning a sewage drain outlet by the robot fish, and water quality data detected by the water quality sensor, river flow velocity data detected by the river flow velocity and sonar sensor and position information of the GPS positioning component after positioning are subjected to comprehensive treatment and are sent to an environment monitoring center by the controller. The riverway illegal sewage drain detection robot fish has the advantages of simple structure, high intelligent degree, wide application scope, strong real-time detection capability, high detection accuracy, and the like.

Description

technical field [0001] The invention mainly relates to the field of water pollution monitoring equipment, in particular to a robotic fish suitable for monitoring illegal sewage discharge in river courses. Background technique [0002] Today's river pollution problems are caused by a wide range of causes, including industrial wastewater discharge and domestic sewage discharge. Although the government regulates the sewage discharge behavior of enterprises, some enterprises secretly discharge industrial wastewater in order to save the cost of wastewater treatment. The government is hard to guard against these illegal acts, because these enterprises often use hidden pipelines for discharge, and these secret passages are difficult to be discovered by people (for example, a company on the beach at the bottom of the river in the Xisaishan section of Huangshi, Hubei Province had already secretly discharged when it was discovered. more than ten years), and many of these companies of...

AI Technical Summary

Problems solved by technology

However, manual monitoring and processing is difficult to meet this requirement

Moreover, the traditional manual sampling and monitoring methods are very random, and judging the diffusion and migration of the pollution zone is too dependent on experience, it is difficult to truly reflect the status of water pollution and its diffusion and migration, resulting in the downstream cities not being able to scientifically and efficiently Response to water pollution accidents

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