In-situ real-time intelligent biological detection device and detection method for protecting river health

Abstract

The invention discloses an in-situ real-time intelligent biological detection device for protecting the river health. The device comprises an electronic cabin, a sampler mounted below the electronic cabin, and a sampling net mounted below the sampler, wherein a river water power and water quality information real-time acquisition device is mounted above the electronic cabin; a storage battery, a motor, a high-pressure pump, a microprocessor and a data memory card are mounted in the electronic cabin; a high-pressure water gun connected with the high-pressure pump is mounted on the inner wall of the sampler; an image identification system controlled by a microprocessor is mounted at the top of the sampler; the bottom of the sampler is in an open structure and is connected with the sampling net through a traction rope; the sampling net comprises a side net capable of stretching and contracting up and down and a turnable bottom net nested at the bottom of the side net. The invention further discloses an in-situ real-time intelligent biological detection method for protecting the river health, and the variety, the number and the size information of indicator organisms on an in-situ riverbed of a river can be continuously, automatically and intelligently detected on the premise of not destroying a river bottom substrate ecological environment.

Description

technical field [0001] The invention relates to the field of river protection, in particular to an in-situ real-time intelligent biological detection device and a detection method for protecting the health of rivers. Background technique [0002] The survival and development of human beings are inseparable from rivers. River ecosystems not only provide water for human life, industry and agriculture, but also have many social service functions. However, with the development of society, human beings have more and more influence on the river ecosystem, its ecological structure has been greatly damaged, and many service functions have been gradually lost due to the interference of human activities. flows, biodiversity decline, etc. The premise of protecting the natural ecological health of rivers is to carry out reasonable and scientific monitoring and analysis, and obtain first-hand comprehensive and accurate data of river health characterization parameters. [0003] Traditio...

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Problems solved by technology

[0005] 1. The error is large: artificial field sampling and laboratory identification are typical representatives. This method has a large workload and requires too high professionalism of the identification personnel. The process is usually cumbersome and the sample transportation process is long, which limits the data. The frequency of acquisition, and the method of laboratory identification is also a kind of interference to benthic organisms and communities, which will lead to large measurement errors;

[0006] 2. It is destructive to the riverbed: the Peterson mud sampler samples the sediment through its own gravity, which has great interference with the riverbed, and it is easy to cause a large data error when the indicator biological density is low; the trawl sampler also cannot be used as a fixed point Sampling can only be used for the general investigation of benthic organisms, which will cause great damage to the riverbed;

[0007] 3. Large human influence: The artificial matrix used by the artificial matrix sampler deviates from the real riverbed, and there is no escape function, which leads to deviations in the type and number of samples taken, and the accuracy in calculating the total amount is low;

[0008] 4. Lack of in-situ real-time monitoring and analysis capabilities: the existing various methods and sampling devices are only used to collect river health indicator organisms, and cannot independently realize the automatic collection and analysis of river health indicator hydrology, water quality, and biological information. Meet the actual needs of in-situ, intelligent, real-time river monitoring informatization process

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