Water body plankton intelligent monitoring platform and method integrating Internet of Things

Abstract

The invention discloses a water body plankton intelligent monitoring platform integrating Internet of Things, comprising a water taking unit, a remote control and detection unit, an image collection unit, a water quality and hydrology detection unit and a remote monitoring and data processing unit. The monitoring method comprises the following steps: 1. collection of water sample in the field; 2.system debugging and cleaning of a detection passage; 3. sample detection and image collection and uploading; 4. image processing in a remote server; and 5. remote detection of water quality and waterpower data and data transmission. According to the intelligent monitoring platform, a microscope is combined with high speed image collection, Internet of Things and plankton image identification software to construct a set of complete water body plankton intelligent monitoring system. The method breaks through the defects that aquatic organisms monitoring is indirectly realized by only monitoring water quality physical and chemical indexes such as chlorophyll and pH in the water body through the current Internet of Things based water ecological monitoring and the constructed water bloom early warning system is relatively rough.

Description

technical field [0001] The invention relates to the technical field of remote monitoring of aquatic organisms based on the Internet of Things, in particular to an intelligent monitoring platform and method for plankton in water bodies integrating the Internet of Things, which is suitable for various types of wild water bodies such as large rivers, lakes, ponds, reservoirs, streams, and oceans. Carry out remote monitoring of aquatic organisms such as algae and zooplankton. Background technique: [0002] In recent years, due to the intensified interference of human activities, algae blooms have occurred in important water bodies such as Taihu Lake, Dianchi Lake, and Three Gorges Reservoir in China, which has brought certain hidden dangers to water supply safety and the surrounding ecological environment. In view of the strategically important position of water resource security in the development of the national economy, the application of rapid monitoring technology for aquat...

AI Technical Summary

Problems solved by technology

The design of this type of instrument is complicated and cumbersome, and it is difficult to adapt to the complex and harsh wild water environment. It cannot obtain accurate data on algae, zooplankton density, and population structure in the water body, and it is also difficult to carry out remote and intelligent monitoring.

At the same time, due to intellectual property protection reasons and special industrial design, foreign instruments are difficult to integrate with the Internet of Things monitoring that is vigorously promoted in the field of intelligent ecological monitoring.

Due to factors such as technical barriers, it is not yet possible to produce technically mature in-situ plankton monitoring instruments and equipment in China

[0005] Finally, the remote real-time monitoring of water ecological environment related to water ecology carried out at home and abroad is only monitoring water quality indicators such as pH, DO, nitrogen, phosphorus, and chlorophyll content, in order to monitor the density and population of algae and zooplankton in the water body. For indirect prediction of structural changes, the precision and accuracy are often quite different from the actual results

[0006] In short, the current domestic technical solutions are difficult to achieve remote real-time monitoring of algae, zooplankton density, and biomass in lakes, reservoirs, rivers and other water bodies

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