Sampling method and device for multi-parameter roving detection of recirculating aquaculture

Abstract

The invention discloses a re-circulating aquaculture multi-parameter cyclic detection sampling method and a re-circulating aquaculture multi-parameter cyclic detection sampling device. Rails are arranged right above a plurality of fish ponds; a plurality of groups of laser emitters and photoelectrical receivers are arranged on baffle plates on the two sides of the rails. After an MCU (Microprogrammed Control Unit) control system acquires signals of the photoelectrical receivers to control trolleys to stay above the centers of the fish ponds, the MCU control system controls the sampling device to descend to the surfaces of the fish ponds; after being quantitatively pumped by a water pumping unit, water samples are sequentially filled into corresponding sample cups; after all the fish ponds are sampled, detection personnel detect the samples in an uniform manner. The whole cyclic sampling process is controlled by the MCU control system, so that the effect that the fish ponds are cyclically and automatically sampled by one set of sampling devices is achieved, the automatic level of aquaculture is improved, and the labor intensity and the labor cost are effectively reduced.

Description

technical field [0001] The invention relates to the field of fish pond water quality detection, in particular to a water quality parameter detection and sampling method and device for circulating aquaculture. Background technique [0002] Fish pond water is the external environment for fish to survive, and the quality of fish pond water determines the level of aquatic production. Therefore, it is very important to detect water quality parameters in order to be able to grasp changes in fish pond water quality in a timely manner, take countermeasures in advance, effectively avoid breeding risks, and increase water production. Generally, the detection parameters of fish pond water quality mainly include: pH value, temperature, dissolved oxygen, nitrite and ammonia nitrogen, etc. At present, the detection of parameters such as pH value, temperature, and dissolved oxygen has been able to realize automatic online detection; however, the detection of parameters such as nitrite and...

AI Technical Summary

Problems solved by technology

At present, the detection of parameters such as pH value, temperature, and dissolved oxygen has been able to realize automatic online detection; however, the detection of parameters such as nitrite and ammonia nitrogen can be divided into manual detection and automatic detection, and manual detection is performed by professional technicians. The corresponding instruments are completed in the laboratory. Although the instruments used in this method are relatively cheap, they need to manually collect water samples from each fish pond and then analyze them, which takes a long time; and automatic detection is to use automatic detection instruments to directly detect water samples. However, the equipment used in this method is expensive. For large-scale aquaculture, it is impossible to install this equipment in every fish pond. It can only rely on manual use of this equipment to detect each fish pond in turn, which also consumes manpower.

[0003] To sum up, whether it is manual detection or automatic detection, it is necessary to rely on manual sampling of each fish pond, and the sampling of the central water of the fish pond is relatively cumbersome; in order to be able to grasp the water quality changes of fish ponds in time and increase fish production, it is necessary to work Personnel carry out multiple sampling and measurement on multiple fish ponds every day, which inevitably increases the labor intensity and thus increases the cost of breeding

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