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An aquaculture state monitoring method and device based on a hidden Markov model

A state monitoring device, hidden Markov technology, applied in fish farming, character and pattern recognition, resources, etc., can solve problems such as not considering hidden factors, achieve prediction and control intelligence, accurate abnormal monitoring, and comprehensive monitoring Effect

Active Publication Date: 2019-06-14
SUZHOU INST OF INDAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the whole process is mainly focused on the monitoring of explicit parameters, without considering hidden factors, such as hunger, disease, silt, algae and other hidden parameters are not directly equivalent to the directly monitored physical parameters, and hidden factors The corresponding relationship with dominant factors is not a simple mapping relationship

Method used

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  • An aquaculture state monitoring method and device based on a hidden Markov model
  • An aquaculture state monitoring method and device based on a hidden Markov model
  • An aquaculture state monitoring method and device based on a hidden Markov model

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Embodiment 1

[0044] see figure 1 , the present embodiment provides a method for monitoring the state of aquaculture based on a hidden Markov model, comprising the following steps:

[0045] S1: According to the relationship between the hidden parameters extracted from the breeding rules and the dominant state of farming, an aquaculture model based on the hidden Markov model is established, in which the hidden parameters are used to represent the abnormal state information of farming;

[0046] Specifically, step S1 specifically includes the following steps:

[0047] According to the samples of aquaculture water environment information and fish activity information at multiple time points, construct a fish school dominant state matrix, and record the fish school state at each time point at the same time, so as to form the relationship between recessive parameters and aquaculture dominant state;

[0048] According to the state of the fish school and the dominant state matrix of the fish schoo...

Embodiment 2

[0112] see image 3 , the present embodiment provides a hidden Markov model-based aquaculture status monitoring device based on embodiment 1, including:

[0113] The model building module is configured to establish an aquaculture model based on the hidden Markov model based on the relationship between the hidden parameters extracted from the breeding rules and the dominant state of the farming, wherein the hidden parameters are used to represent abnormal status information of the farming;

[0114] Specifically, the model building module includes a sample unit, a training unit, and a verification unit; the sample unit is configured to construct a fish school dominant state matrix based on samples of aquaculture water environment information and fish school activity information at multiple time points, and record each The state of the fish school at each time point to form the relationship between the hidden parameters and the dominant state of breeding; the training unit is con...

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Abstract

The invention discloses an aquaculture state monitoring method based on a hidden Markov model, and the method comprises the following steps: S1, building an aquaculture model based on the hidden Markov model according to the relationship between a hidden parameter extracted based on an aquaculture rule and an aquaculture dominant state, and enabling the hidden parameter to be used for representingaquaculture abnormal state information; S2, obtaining breeding dominant states at different moments, wherein the breeding dominant states comprise breeding water environment information and fish school activity information; S3, obtaining an observation sequence according to the breeding dominant state; S4, according to the observation sequence and the aquaculture model, various abnormal probabilities are obtained through calculation, if the abnormal probabilities are larger than corresponding abnormal threshold values, it is considered that corresponding anomalies appear, and if not, it is considered that no anomalies appear. The method has the technical characteristics of comprehensive monitoring, real-time monitoring and accurate abnormal monitoring.

Description

technical field [0001] The invention belongs to the technical field of aquaculture, and in particular relates to an aquaculture state monitoring method and device based on a hidden Markov model. Background technique [0002] Currently, with the development of IoT technology, aquaculture is becoming more and more modernized. The application of various sensing technologies makes real-time monitoring of aquaculture more convenient. Existing aquaculture technology can mainly realize remote monitoring and remote control feeding, and the process still requires manual intervention. [0003] The existing technology can mainly monitor the breeding environment and analyze the status of fish schools. However, the whole process is mainly focused on the monitoring of explicit parameters, without considering hidden factors, such as hunger, disease, silt, algae and other hidden parameters are not directly equivalent to the directly monitored physical parameters, and hidden factors The c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q10/06G06Q50/02A01K61/10
CPCY02A40/81
Inventor 陈丽夏兴隆卜树坡赵展程磊黄晓奇
Owner SUZHOU INST OF INDAL TECH
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