Plastic grading acquisition system based on big data and acquisition method thereof

Abstract

The invention relates to a big data-based plastic grading acquisition system and acquisition method.The big data-based plastic grading acquisition system is provided with a first filtering area, a second filtering area and a third filtering area; the first filtering area comprises a first shell, a fixing block is arranged on the outer surface of the first shell, a micro driving motor is arranged on the fixing block, the output end of the micro driving motor is connected with a rotating rod, and a baffle disc is fixed at the tail end of the rotating rod; the first spiral connecting block is provided with a plurality of circular guide rods in a circumferential array, the circular guide rods can effectively prevent some small rod-shaped objects from scratching the first filter screen, and guarantee is provided for smooth sampling. The first filtering area, the second filtering area and the third filtering area are connected through threads, all the areas are detachable, and plastic classified in the areas can be collected easily.

Description

technical field [0001] The invention relates to the field of plastic collection, in particular to a big data-based plastic classification collection system and a collection method thereof. Background technique [0002] Microplastics are generally defined as: plastic pellets, microfibers, plastic particles, foamed plastics or films with a size ranging from 0.2 mm to 5.0 mm. Microplastics mainly include plastic particle raw materials brought into the natural environment by processes such as sewage discharge, garbage dumping, equipment damage and raw material leakage in offshore operations and ship transportation, human activities in coastal areas, and plastic debris formed by physical action of large pieces of plastic waste. Granular additives in daily necessities such as facial cleanser and polishing materials used in industry. Microplastics entering the environment can migrate under external forces such as wind, rivers, and ocean currents due to their small particle size an...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, although there is a sampling device to sample and detect water areas, there are still many problems in sampling and detection. It is easily affected by the flow velocity of water, and it is impossible to monitor the real-time collection situation through remote monitoring. It is easy in unknown waters. The collection device is damaged by large plastic bags, large branches and other damaging substances, and it is easy to be blocked by some large substances during the collection process, which will lead to inaccurate sampling results

Moreover, in waters of different depths, because microplastics are affected by factors such as buoyancy and water velocity, all waters of different depths correspond to different degrees of pollution, and such problems are not considered in the prior art.

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