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Crayfish full-chain data acquisition and intelligent detection method and device

A technology of data collection and intelligent detection, applied in the field of agricultural information, to achieve the effect of avoiding complexity

Active Publication Date: 2021-09-17
HUAZHONG AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, it is necessary to provide a crayfish whole chain data collection and intelligent detection method and device to solve the problem of how to efficiently and comprehensively monitor the lobster production chain

Method used

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  • Crayfish full-chain data acquisition and intelligent detection method and device
  • Crayfish full-chain data acquisition and intelligent detection method and device
  • Crayfish full-chain data acquisition and intelligent detection method and device

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Embodiment 1

[0060] The embodiment of the present invention provides a method for data collection and intelligent detection of the whole chain of crayfish, combining figure 1 look, figure 1 It is a schematic flow chart of the data collection and intelligent detection method for the whole chain of crayfish provided by the present invention. The above-mentioned data collection and intelligent detection method for the whole chain of crayfish includes steps S1 to S5, wherein:

[0061] In step S1, the lobster image, node operation image, and node numerical parameters are obtained, wherein the node operation image is the monitoring image of each operation process of the lobster production chain nodes, and the node numerical parameters are the lobster production chain nodes Numerical parameters for each production process of ;

[0062] In step S2, image processing is performed on the image of the lobster, the corresponding morphological features and color features are determined, and the quality...

Embodiment 2

[0152] The embodiment of the present invention provides a crayfish whole chain data acquisition and intelligent detection system, combining figure 2 look, figure 2 The structural diagram of the lobster qualified intelligent detection system provided by the present invention, the above-mentioned lobster qualified intelligent detection system includes a plurality of monitoring equipment and information traceability equipment, and the multiple monitoring equipment includes a breeding node monitoring equipment 1, a storage node monitoring equipment 2, and a processing node The monitoring equipment 3 and the transportation node monitoring equipment 4 are used to monitor different node parameters. The node parameters include breeding node parameters, storage node parameters, processing node parameters, and transportation node parameters. The intelligent detection of lobster production chain information based on the Internet of Things is described. The system specifically includes:...

Embodiment 3

[0213] An embodiment of the present invention provides a crayfish full chain data collection and intelligent detection device, including a processor and a memory, and a computer program is stored in the memory. When the computer program is executed by the processor, the above-mentioned crayfish full chain data is realized. Acquisition and intelligent detection methods.

[0214] The invention discloses a method and device for data collection and intelligent detection of the whole chain of crayfish. Firstly, the image of the lobster is obtained to effectively feedback the qualification degree of the lobster itself, and the image of the node operation is obtained to effectively feedback the operation standardization of the entire lobster production process. , to obtain the node numerical parameters to effectively feedback the influence of external factors such as the breeding and production environment of the entire lobster production process and the quality of crayfish at each no...

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Abstract

The invention relates to a crayfish full-chain data acquisition and intelligent detection method and device. The method comprises the following steps: acquiring crayfish images, node operation images and node numerical parameters; performing image processing on the crayfish images to determine crayfish quality grades; identifying the node operation images, outputting corresponding abnormal areas and operator numbers, generating operation abnormity early warning information, issuing the operation abnormity early warning information to corresponding nodes, performing statistics on issuing frequency, and determining operation specification grades; inputting the node numerical parameters into corresponding standard libraries, generating parameter abnormity early warning information, issuing the parameter abnormity early warning information to corresponding nodes, performing statistics on issuing frequency, and determining production link quality grades; and classifying crayfishes into different grade batches according to the crayfish quality grades, and performing early warning and management on production environment and personnel operation of each node according to the operation specification grades and the production link quality grades. According to the invention, various monitoring information is subjected to data processing through a big data platform, so that rapid and effective information management is achieved, and the crayfish production safety is guaranteed.

Description

technical field [0001] The invention relates to the field of agricultural information technology, in particular to a method and device for data collection and intelligent detection of the whole chain of crayfish. Background technique [0002] The existing industrial chain of lobster production includes four nodes: breeding, storage, processing, and circulation, and each node will affect the output and quality of lobsters produced. In the existing technology, a node or a production factor of lobster production is often monitored separately, and the monitoring form and content are single, and it is impossible to fully monitor and judge the entire industrial chain. In addition, traditional data processing methods are used to process monitoring information in the prior art, and the data processing process lacks efficiency and speed. Therefore, how to efficiently and comprehensively monitor the industrial chain of lobster production is an urgent problem to be solved. Contents ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06K9/40G06K9/46G06K9/62G06K17/00G06Q50/02G01N21/25G01N21/64G01N33/00G01N33/12G01N33/18
CPCG06K17/0029G06Q50/02G01N21/25G01N21/6404G01N33/1813G01N33/12G01N33/0001G06F18/22G06F18/241G06F18/214Y02A40/81
Inventor 黄汉英李小定李鹏飞赵思明熊善柏尤娟张新灿
Owner HUAZHONG AGRICULTURAL UNIVERSITY
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