Automatic detection method for water quality parameters of large-area river crab aquaculture pond

A technology for automatic detection of water quality parameters, which is applied to the real-time detection of water temperature and water quality parameters, and the field of dynamic information distribution diagrams of water quality, water level and temperature in each grid in the entire pond. , Real-time and efficient monitoring and other problems, to achieve the effect of reducing costs, improving efficiency and real-time

Inactive Publication Date: 2020-08-04
JIANGSU UNIV
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Problems solved by technology

At present, most of the monitoring systems are fixed measurement systems. Multi-point measurement can accurately measure the water quality, but the cost is high, and it is difficult for ordinary farmers to accept
However, unmanned ship technology is mostly used in scientific research surveying, mapping, monitoring, etc., and is rarely used in ag

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  • Automatic detection method for water quality parameters of large-area river crab aquaculture pond
  • Automatic detection method for water quality parameters of large-area river crab aquaculture pond
  • Automatic detection method for water quality parameters of large-area river crab aquaculture pond

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Embodiment Construction

[0034] The specific implementation of the present invention will be further described below in combination with schematic diagrams.

[0035] The invention proposes an automatic detection method for water quality parameters of large-area river crab culture ponds. It is used to solve the problem of automatic detection of water quality in the bottom water area of ​​crab ponds in the process of river crab cultivation. It needs to be pointed out that this method combines the water level, water temperature and water quality parameter database at a limited time point in the whole pond with the long-term historical database of water level, temperature and water quality parameters at a specific point, and establishes the water level, water quality and temperature parameters of each grid in the whole area of ​​the river crab breeding pond and the water level, water quality and temperature at a specific point through a neural network. The correlation between the parameters, according to ...

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Abstract

The invention discloses an automatic detection method for water quality parameters of a large-area river crab aquaculture pond. According to the method, a river crab culture pond automatic navigationship carries a water level, water quality and water temperature sensor to acquire parameters such as dissolved oxygen, pH value and water temperature of each grid bottom layer and middle layer of thewhole pond and the pond water level; in combination with sampling time and GPS/Beidou navigation system information of an automatic navigation ship, a water level, water quality and water temperatureparameter database of each grid in the whole domain of the river crab culture pond at a limited time point is established; water level, water quality and water temperature sensors are arranged at specific points on the bottom layer of the pond, and a river crab culture pond specific point water level, water quality and water temperature parameter long-term historical database is established in combination with longitude and latitude information of the specific points. The current river crab culture pond global water level, water quality and water temperature parameters are established througha neural network fitting method in combination with a river crab culture pond global water level, water quality and water temperature parameter database at a limited time point according to the parameter data of each current specific detection point to form a pond global grid water quality, water level and water temperature dynamic information distribution diagram.

Description

technical field [0001] The invention relates to an automatic detection method of water quality parameters in a large-area river crab breeding pond, in particular to real-time detection of water temperature and water quality parameters, which is based on neural network fitting to estimate the water quality of each point in the whole area, and combined with GPS / Beidou navigation technology to form grids in the whole area of ​​the pond Distribution map of water quality, water level and water temperature dynamic information. Background technique [0002] River crabs are rich in protein and trace elements, with high nutritional value and delicious taste. People's demand for river crabs is gradually increasing, and the river crab breeding industry has developed rapidly. However, the traditional aquaculture model lacks scientific guidance and blindly pursues output and economic benefits. It is prone to overcapacity, high-density aquaculture, irrational feeding, pesticide applicatio...

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Application Information

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IPC IPC(8): G01N33/18G01D21/02G01S19/42B63C11/52
CPCB63C11/52G01D21/02G01N33/18G01S19/42
Inventor 赵德安石子坚孙月平秦云
Owner JIANGSU UNIV
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