CN111528797A - Method and system for nondestructively and dynamically monitoring stress level of aquatic product anhydrous keep-alive individual - Google Patents

Method and system for nondestructively and dynamically monitoring stress level of aquatic product anhydrous keep-alive individual Download PDF

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CN111528797A
CN111528797A CN202010323243.4A CN202010323243A CN111528797A CN 111528797 A CN111528797 A CN 111528797A CN 202010323243 A CN202010323243 A CN 202010323243A CN 111528797 A CN111528797 A CN 111528797A
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张小栓
王文胜
冯欢欢
徐进超
张健
曲立
何琼
雷汉
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China Agricultural University
Beijing Information Science and Technology University
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Abstract

The embodiment of the invention provides a method for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual, which comprises the following steps: collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product; determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter; and acquiring the survival rate of the aquatic product individual at the acquisition moment, and determining the stress level of the aquatic product individual based on the survival rate, the key stress index concentration and the stress correction factor. In the embodiment of the invention, no loss is caused to aquatic product individuals, the non-destructive monitoring of the stress level of the water-free keep-alive individuals can be realized, and the real-time dynamic monitoring can be realized. Moreover, the influence of the waterless keep-alive environmental factors on the individual stress level of the aquatic product is considered, and key microenvironment parameters are introduced, so that the result is more accurate.

Description

Method and system for nondestructively and dynamically monitoring stress level of aquatic product anhydrous keep-alive individual
Technical Field
The invention relates to the technical field of intelligent monitoring of keep-alive transportation, in particular to a method and a system for nondestructively and dynamically monitoring the stress level of an aquatic product waterless keep-alive individual.
Background
At present, the stress response strength of living aquatic products is one of the key factors influencing the survival rate of live-keeping transportation. As a new transportation mode, the waterless keep-alive transportation has the advantages that a low-temperature induced dormancy or anesthesia induced dormancy method is adopted, and the individual can generate a severe physiological stress reaction more easily in the keep-alive transportation process. The physiological stress response of the aquatic products is mainly evaluated by collecting key physiological indexes such as blood sugar concentration, cortisol concentration and the like of living aquatic products and carrying out biochemical detection, or by analyzing the behavior characteristics of the living aquatic products. Compared with the latter, the collection and biochemical detection of key physiological indexes are the most common detection means for the individual stress response level in the waterless keep-alive transportation process, but obvious hysteresis and errors exist.
The aquatic product always keeps a relatively stable dormant state in the waterless keep-alive transportation process, and factors influencing the individual stress response level of the aquatic product in the waterless keep-alive transportation process mainly comprise external microenvironment key parameters and the physiological state of the aquatic product. However, there still exists a theoretical and technical gap in how to realize the non-destructive dynamic monitoring of the stress level of the aquatic product water-free keep-alive individual under the condition of optimally controlling the key parameters of the external microenvironment. Therefore, the method and the system for monitoring the stress level of the aquatic product water-free keep-alive individual in a nondestructive and dynamic manner are needed to be provided.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the embodiment of the invention provides a method and a system for nondestructively and dynamically monitoring the stress level of an aquatic product waterless keep-alive individual.
In a first aspect, the embodiment of the invention provides a method for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual, which comprises the following steps:
collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product;
determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter;
and acquiring the survival rate of the aquatic product individual at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a water-free keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individual.
Preferably, the determining the concentration of the key stress indicator of the individual aquatic product based on the characteristic stress signal specifically comprises:
inputting the characteristic stress signal into a concentration prediction model to obtain the concentration of the key stress index output by the concentration prediction model;
the concentration prediction model is used for representing the corresponding relation between the characteristic stress signal of the mucus on the body surface of the individual aquatic product and the concentration of the key stress index of the individual aquatic product.
Preferably, the concentration prediction model is specifically constructed by the following method:
acquiring a characteristic stress signal sample of mucus on the body surface of an individual aquatic product sample in the waterless keep-alive transportation process of an aquatic product, a characteristic signal sample of the mucus on the body surface of the individual aquatic product sample in a normal state and an interference characteristic signal sample of an waterless keep-alive package of the aquatic product;
respectively sampling the characteristic stress signal sample, the characteristic signal sample and the interference characteristic signal sample to obtain a characteristic stress signal sample matrix, a characteristic signal sample matrix and an interference characteristic signal sample matrix, wherein the numbers of elements in the characteristic stress signal sample matrix, the characteristic signal sample matrix and the interference characteristic signal sample matrix are the same;
respectively determining Euclidean distances between each element in the characteristic stress signal sample matrix and corresponding elements in the characteristic signal sample matrix and the interference characteristic signal sample matrix, and constructing an error correction matrix based on the Euclidean distances;
and determining a sample corresponding relation between the characteristic stress signal sample matrix and the key stress index concentration of the aquatic product individual sample based on the error correction matrix, the characteristic stress signal sample matrix and the characteristic signal sample matrix, and taking the sample corresponding relation as the corresponding relation.
Preferably, the constructing an error correction matrix based on the euclidean distance specifically includes:
determining the error correction matrix by:
Figure BDA0002462229250000031
wherein A is the error correction matrix, PAOIs a sample matrix of the characteristic stress signals, D1A first Euclidean distance matrix formed by Euclidean distances between each element in the characteristic stress signal sample matrix and the corresponding element in the characteristic signal sample matrix, D2For each element in the characteristic stress signal sample matrix andand the Euclidean distance matrix is formed by Euclidean distances between corresponding elements in the interference characteristic signal sample matrix.
Preferably, the determining a sample correspondence between the characteristic stress signal sample matrix and the concentration of the key stress indicator of the individual sample of the aquatic product based on the error correction matrix, the characteristic stress signal sample matrix and the characteristic signal sample matrix specifically includes:
determining the sample correspondence by the following formula:
Figure BDA0002462229250000032
wherein y is the key stress index concentration of the aquatic product individual sample, lambda is a constant, A is the error correction matrix, and x11Is row 1 and column 1 element, x 'in the characteristic stress signal sample matrix'11Is the 1 st row and 1 st column element, x in the characteristic signal sample matrixiiIs the ith row and ith column element, x 'in the characteristic stress signal sample matrix'iiIs the ith row and ith column element in the characteristic signal sample matrix.
Preferably, the key microenvironment parameters have several categories; accordingly, the number of the first and second electrodes,
calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameters, and specifically comprises the following steps:
determining the accumulated variation of the key microenvironment parameters of each category from an initial time to the acquisition time;
determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation.
Preferably, the determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation specifically includes:
determining the stress correction factor based on the following formula:
Figure BDA0002462229250000041
wherein the content of the first and second substances,
Figure BDA0002462229250000049
is the stress correction factor, t0Is the initial time, T is the acquisition time, Δ ξ1Is a first category of variation of the key micro-environmental parameter,
Figure BDA0002462229250000042
the key microenvironment parameter for the first category is from t0To the cumulative amount of change in the T,
Figure BDA00024622292500000410
(ii) an impact weight corresponding to the first class of the key microenvironment parameter, Δ ξ2A second category of variation of the key micro-environmental parameter,
Figure BDA0002462229250000043
from t for the second category of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure BDA00024622292500000411
a corresponding influence weight, Δ ξ, for the second category of the key microenvironment parameternIs the amount of variation of the nth class of key microenvironment parameter,
Figure BDA0002462229250000044
from t for the nth class of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure BDA0002462229250000045
and the influence weight corresponding to the key microenvironment parameter of the nth category is n which is more than or equal to 1.
Preferably, the water-free keep-alive transportation individual stress level lossless dynamic prediction model specifically comprises:
Figure BDA0002462229250000046
wherein the content of the first and second substances,
Figure BDA0002462229250000047
at a time t0Stress amount of key stress index in time period to time T, T0Is an initial moment, T is a collection moment, S is the survival rate of the aquatic product individuals at the T moment, yTIs the concentration of the key stress index at the T moment,
Figure BDA0002462229250000048
is a stress correction factor of aquatic product individuals at the T moment.
In a second aspect, the embodiment of the invention provides a system for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual, which comprises: the device comprises an acquisition module, a data module and a control processing module; the acquisition module is connected with the data module, and the data module is in communication connection with the control processing module;
the acquisition module is used for acquiring key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the body surface of an individual aquatic product;
the data module is used for determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter;
the control processing module is used for obtaining the survival rate of the aquatic product individuals at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a waterless keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individuals.
Preferably, the acquiring module specifically includes: radio Frequency Identification (RFID) tags and scanning probes;
the RFID tag is fixed in the waterless keep-alive transport package and is used for acquiring the key microenvironment parameters;
the scanning probe is used for acquiring the characteristic stress signal.
Preferably, the aquatic product anhydrous keep-alive individual stress level nondestructive dynamic monitoring system further comprises: a heat insulating sealing material and an inert cooling gas;
the waterless keep-alive transport package is arranged in the heat insulation sealing material, and the inert cooling gas is filled in the heat insulation sealing material.
The embodiment of the invention provides a method and a system for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual, which comprises the following steps: collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product; determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter; and acquiring the survival rate of the aquatic product individual at the acquisition moment, and determining the stress level of the aquatic product individual based on the survival rate, the key stress index concentration and the stress correction factor. In the embodiment of the invention, no loss is caused to aquatic product individuals, the non-destructive monitoring of the stress level of the water-free keep-alive individuals can be realized, and the real-time dynamic monitoring can be realized. Moreover, the influence of the waterless keep-alive environmental factors on the stress level of the aquatic product individual is considered, key microenvironment parameters are introduced, the stress correction factor of the aquatic product individual is calculated, the final stress level of the aquatic product individual is determined through the stress correction factor, the obtained result is less influenced by the environmental factors and is more accurate, the real-time control and optimization of the waterless keep-alive transportation quality of the aquatic product are further realized, and the method has a certain application prospect in mastering the waterless keep-alive transportation quality state of the aquatic product in real time and optimizing the waterless keep-alive transportation quality management.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a system for monitoring the stress level of an aquatic product anhydrous keep-alive individual without damage and dynamically according to an embodiment of the invention;
FIG. 3 is a partial schematic structural diagram of a system for monitoring the stress level of an aquatic product water-free keep-alive individual without damage dynamically, according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual, including:
s1, collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product;
s2, determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter;
s3, obtaining the survival rate of the aquatic product individual at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a water-free keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individual.
Specifically, the method for lossless dynamic monitoring of the stress level of the aquatic product anhydrous keep-alive individual provided in the embodiment of the invention has the main execution body of a lossless dynamic monitoring system for the stress level of the aquatic product anhydrous keep-alive individual, and the whole monitoring system is used for realizing real-time lossless dynamic monitoring of the stress level of the aquatic product anhydrous keep-alive individual.
Firstly, step S1 is executed, and the key microenvironment parameters during the transportation of aquatic products without water keep alive may specifically include one or more of the following categories: ambient temperature, ambient humidity, oxygen concentration, and carbon dioxide concentration, among others. The characteristic stress signals of the mucus on the body surface of the individual aquatic product can be specifically classified into different types according to different acquisition devices, for example, the characteristic stress signals acquired by the infrared spectrum device can be infrared spectrum signals, and the characteristic stress signals acquired by the sensor can be sensing electric signals, which is not specifically limited in the embodiment of the invention. The key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process can be collected through a Radio Frequency Identification (RFID) tag fixed in the waterless keep-alive transportation package. Wherein, the waterless keep-alive transportation package is used for realizing the oxygen-charging package of the aquatic product individuals after the physical/chemical dormancy action. Characteristic stress signals of mucus on the body surface of an individual aquatic product can be collected through a scanning probe, and the scanning probe can be divided into an infrared spectrum probe and a sensor probe according to the working principle. In the embodiment of the invention, the key microenvironment parameters in the waterless keep-alive transportation process of the aquatic products and the characteristic stress signals of mucus on the body surfaces of individual aquatic products need to be acquired simultaneously, so that the real-time monitoring of the individual stress level of the aquatic products can be realized.
And then, executing step S2, determining the key stress index concentration of the aquatic product individual through the characteristic stress signal, and calculating the stress correction factor of the aquatic product individual through the key microenvironment parameter. The key stress index specifically refers to cortisol or urea in mucus on the body surface of an individual aquatic product. Specifically, a concentration prediction model for representing the corresponding relation between the characteristic stress signal of the mucus on the body surface of the individual aquatic product and the concentration of the key stress index of the individual aquatic product can be determined in advance, and then the concentration of the key stress index of the individual aquatic product is determined through the concentration prediction model. And calculating to obtain the stress correction factor of the aquatic product individual according to the specific category of the key microenvironment parameter and the preset corresponding influence weight.
And finally, S3 is executed, and the acquisition time refers to the acquisition time of key microenvironment parameters and characteristic stress signals of mucus on the individual body surfaces of the aquatic products in the waterless keep-alive transportation process of the aquatic products, namely the current time. The number of the aquatic product individuals living at the collection time and the total number of the aquatic product individuals can be counted, and the ratio of the number of the aquatic product individuals living at the collection time to the total number of the aquatic product individuals is the survival rate of the aquatic product individuals at the collection time. Inputting the survival rate of the aquatic product individuals at the acquisition moment, the concentration of the key stress index and the stress correction factor into the water-free keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individuals, wherein the water-free keep-alive transportation individual stress level lossless dynamic prediction model is specifically shown in the following formula (1).
Figure BDA0002462229250000081
Wherein, Y(t)W ═ dY as the stress level of the key stress index at time t(t)The value of the stress level in unit time is in positive correlation with the individual survival rate of aquatic products at the time T and the concentration of the key stress index in vivo,
Figure BDA0002462229250000082
at a time t0The stress amount of the key stress index in the time period from the moment T, and the stress level of the individual water product in the waterless keep-alive transportation process is a time-varying accumulation amount. In the embodiment of the invention, the stress level is characterized by the magnitude of the stress amount, wherein the higher the stress amount is, the higher the stress level is, and the lower the stress amount is, the lower the stress level is. t is t0Is an initial moment, T is a collection moment, S is the survival rate of the aquatic product individuals at the T moment, yTIs the concentration of the key stress index at the T moment,
Figure BDA0002462229250000091
is a stress correction factor of aquatic product individuals at the T moment.
It should be noted that the individual stress level of the aquatic product is usually directed to a certain key stress index, and the individual stress level of the aquatic product is not necessarily the same for different key stress indexes.
The method for nondestructively and dynamically monitoring the stress level of the aquatic product anhydrous keep-alive individual provided by the embodiment of the invention comprises the following steps: collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product; determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter; and acquiring the survival rate of the aquatic product individual at the acquisition moment, and determining the stress level of the aquatic product individual based on the survival rate, the key stress index concentration and the stress correction factor. In the embodiment of the invention, no loss is caused to aquatic product individuals, the nondestructive monitoring of the stress level can be realized, and the real-time dynamic monitoring can be realized. In addition, the influence of the waterless keep-alive environmental factors on the stress level of the aquatic product individual is considered in the embodiment of the invention, the key microenvironment parameters are introduced, the stress correction factor of the aquatic product individual is calculated, and the final stress level of the aquatic product individual is determined through the stress correction factor, so that the obtained result is less influenced by the environmental factors and is more accurate, the real-time control and optimization of the waterless keep-alive transportation quality of the aquatic product can be further realized, and the method has a certain application prospect in mastering the waterless keep-alive transportation quality state of the aquatic product in real time and optimizing the waterless keep-alive transportation quality management.
On the basis of the above embodiment, the method for nondestructively and dynamically monitoring the stress level of the aquatic product waterless keep-alive individual provided in the embodiment of the present invention, wherein the determining the concentration of the key stress index of the aquatic product individual based on the characteristic stress signal specifically includes:
inputting the characteristic stress signal into a concentration prediction model to obtain the concentration of the key stress index output by the concentration prediction model;
the concentration prediction model is used for representing the corresponding relation between the characteristic stress signal of the mucus on the body surface of the individual aquatic product and the concentration of the key stress index of the individual aquatic product.
Specifically, in the embodiment of the invention, when the concentration of the key stress index of an individual aquatic product is determined by the characteristic stress signal, a concentration prediction model can be specifically introduced, and the concentration of the key stress index output by the concentration prediction model is obtained by inputting the characteristic stress signal into the concentration prediction model. The concentration prediction model can be constructed by collecting characteristic stress signals of mucus on the body surface of an individual sample of aquatic products with known key stress index concentration, and can be realized by the following method:
acquiring a characteristic stress signal sample of mucus on the body surface of an individual aquatic product sample in the waterless keep-alive transportation process of an aquatic product, a characteristic signal sample of the mucus on the body surface of the individual aquatic product sample in a normal state and an interference characteristic signal sample of an waterless keep-alive package of the aquatic product;
respectively sampling the characteristic stress signal sample, the characteristic signal sample and the interference characteristic signal sample to obtain a characteristic stress signal sample matrix, a characteristic signal sample matrix and an interference characteristic signal sample matrix, wherein the numbers of elements in the characteristic stress signal sample matrix, the characteristic signal sample matrix and the interference characteristic signal sample matrix are the same;
respectively determining Euclidean distances between each element in the characteristic stress signal sample matrix and corresponding elements in the characteristic signal sample matrix and the interference characteristic signal sample matrix, and constructing an error correction matrix based on the Euclidean distances;
and determining a sample corresponding relation between the characteristic stress signal sample matrix and the key stress index concentration of the aquatic product individual sample based on the error correction matrix, the characteristic stress signal sample matrix and the characteristic signal sample matrix, and taking the sample corresponding relation as the corresponding relation.
In the embodiment of the present invention, the normal state refers to a state in which water is present. In order to eliminate the influence of the water-free keep-alive package of the aquatic product on the monitoring result, an interference characteristic signal sample of the water-free keep-alive package of the aquatic product needs to be determined. The characteristic stress signal sample, the characteristic signal sample and the interference characteristic signal sample can be collected by the same collection equipment. The method comprises the steps of sampling a characteristic stress signal sample, a characteristic signal sample and an interference characteristic signal sample respectively, specifically, sampling 16 corresponding signal data within 5s, sampling the characteristic stress signal sample to obtain a characteristic stress signal sample matrix, sampling the characteristic signal sample to obtain a characteristic signal sample matrix, sampling the interference characteristic signal sample to obtain an interference characteristic signal sample matrix, wherein the characteristic stress signal sample matrix, the characteristic signal sample matrix and the interference characteristic signal sample matrix have the same number of elements and are matrixes with the same number of rows and columns.
Let PAO、P′AO、P″AORespectively representing a characteristic stress signal sample matrix, a characteristic signal sample matrix and an interference characteristic signal sample matrix, specifically comprising:
Figure BDA0002462229250000111
wherein, PAOWherein each element is signal data, P 'corresponding to characteristic stress signal sample'AOEach element in the signal is signal data, P ″, corresponding to a characteristic signal sampleAOEach element in the array is signal data corresponding to an interference characteristic signal sample, and i is the number of rows and columns of each matrix.
Then respectively determining characteristic stress signal sample matrixes PAOWith a feature signal sample matrix P'AOAnd an interference characteristic signal sample matrix P ″AOIs given as D1Is a characteristic stress signal sample matrix PAOWith a feature signal sample matrix P'AOA first Euclidean distance matrix of Euclidean distances, D, between corresponding elements in (b)2Is a characteristic stress signal sample matrix PAOEach element in (1) and interference characteristic signal sample matrix P ″AOA second euclidean distance matrix of euclidean distances between corresponding elements in (a).
D1Each element d in (a) may be represented as:
Figure BDA0002462229250000112
wherein m and k take values from 1 to i.
D2Each element d in (1)2Can be expressed as:
Figure BDA0002462229250000113
wherein m and k take values from 1 to i.
And constructing an error correction matrix according to the calculated Euclidean distance, which can be specifically realized by the following formula:
Figure BDA0002462229250000114
wherein A is the error correction matrix, PAOAnd (4) a characteristic stress signal sample matrix.
In the embodiment of the invention, the error correction matrix is constructed, so that the interference of the keep-alive package on the characteristic stress signals of the aquatic product individuals can be reduced as much as possible, and the system error in the acquisition process of the characteristic stress signals of the aquatic product individuals is reduced.
Finally, according to the error correction matrix A and the characteristic stress signal sample matrix PAOAnd the characteristic signal sample matrix P'AODetermining a characteristic stress signal sample matrix PAOAnd the sample corresponding relation with the key stress index concentration y of the aquatic product individual sample is used as the corresponding relation between the characteristic stress signal of the mucus on the body surface of the aquatic product individual and the key stress index concentration of the aquatic product individual.
In the embodiment of the present invention, the sample correspondence is specifically determined by the following formula:
Figure BDA0002462229250000121
and y is the key stress index concentration of the individual aquatic product sample, lambda is a constant, and lambda is related to the acquisition equipment of the characteristic stress signal. x is the number of11Is a characteristic stress signal sample matrix PAOLine 1 column 1 element of (1), x'11Is a characteristic signal sample matrix P'AORow 1, column 1 element, x iniiIs a characteristic stress signal sample matrix PAORow ith and column element of (1), x'iiIs a characteristic signal sample matrix P'AORow i and column i of (1).
On the basis of the above embodiment, the method for nondestructively and dynamically monitoring the stress level of the aquatic product water-free keep-alive individual provided by the embodiment of the invention has the advantages that the key microenvironment parameters have a plurality of categories;
accordingly, the number of the first and second electrodes,
calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameters, and specifically comprises the following steps:
determining the accumulated variation of the key microenvironment parameters of each category from an initial time to the acquisition time;
determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation.
Specifically, in the embodiment of the invention, when the stress correction factor of the aquatic product individual is calculated, the category of the key microenvironment parameters can be considered, and the influence of the key microenvironment parameters on the keep-alive process is mathematically quantified and added to the prediction correction of the individual stress level, so as to construct the aquatic product stress level dynamic correction model. The different types of key microenvironment parameters have respective influence weights on the individual stress level of the aquatic product, and can be the same or different.
Determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation, specifically including:
substituting the influence weights of the key microenvironment parameters and the key microenvironment parameters into the aquatic product stress level dynamic correction model, and determining a stress correction factor based on the following formula:
Figure BDA0002462229250000131
wherein the content of the first and second substances,
Figure BDA0002462229250000137
as a stress correction factor, t0Is the initial time, T is the acquisition time, Δ ξ1Is a first category of variation of the key micro-environmental parameter,
Figure BDA0002462229250000132
the key microenvironment parameter for the first category is from t0To the cumulative amount of change in the T,
Figure BDA0002462229250000138
(ii) an impact weight corresponding to the first class of the key microenvironment parameter, Δ ξ2A second category of variation of the key micro-environmental parameter,
Figure BDA0002462229250000133
from t for the second category of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure BDA0002462229250000134
a corresponding influence weight, Δ ξ, for the second category of the key microenvironment parameternIs the amount of variation of the nth class of key microenvironment parameter,
Figure BDA0002462229250000135
from t for the nth class of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure BDA0002462229250000136
and the influence weight corresponding to the key microenvironment parameter of the nth category is n which is more than or equal to 1.
As shown in fig. 2, on the basis of the above embodiment, an embodiment of the present invention provides a system for non-destructive and dynamic monitoring of stress level of an individual alive-free aquatic product, including: an acquisition module 201, a data module 202 and a control processing module 203. The acquisition module 201 is connected with the data module 202, and the data module 202 is in communication connection with the control processing module 203;
the acquisition module 201 is used for acquiring key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the body surface of an individual aquatic product;
the data module 202 is configured to determine a critical stress indicator concentration of the individual aquatic product based on the characteristic stress signal, and calculate a stress correction factor of the individual aquatic product based on the critical microenvironment parameter;
the control processing module 203 is used for acquiring the survival rate of the aquatic product individuals at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a waterless keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individuals.
Specifically, in the embodiment of the present invention, the role implemented by the obtaining module 201 is consistent with the operation flow implemented in step S1 in the above method embodiment, the role implemented by the data module 202 is consistent with the operation flow implemented in step S2 in the above method embodiment, the role implemented by the control processing module 203 is consistent with the operation flow implemented in step S3 in the above method embodiment, for specific reference, the above method embodiment also has the same implementation effect, and details of the implementation are not repeated in this embodiment of the present invention.
In the embodiment of the present invention, the obtaining module 201 and the data module 202 may be electrically connected or communicatively connected to realize transmission of the collected characteristic stress signal. The data module 202 may include a communication module to enable communication with the control processing module 203. The data module 202 may also be used to perform a preliminary processing on the characteristic stress signal, such as digital-to-analog conversion.
As shown in fig. 3, on the basis of the above embodiment, in an embodiment of the present invention, there is provided a system for monitoring the stress level of an individual alive-keeping aquatic product without water without damage dynamically, where the acquiring module specifically includes: a radio frequency identification RFID tag 303 and a scanning probe 308;
the RFID label 303 is fixed in the waterless keep-alive transportation package 302, and the RFID label 303 is used for collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process;
the scanning probe 308 is used for collecting characteristic stress signals of mucus on the body surface of an individual aquatic product.
Specifically, in the embodiment of the invention, the waterless keep-alive transport package 302 is used for realizing the oxygen-filling package of the aquatic product individual 301 after the physical/chemical dormancy effect. The aquatic product individual 301 is specifically an aquatic product living body, and mainly is a cold water aquatic product variety. The waterless keep-alive transportation package 302 can be specifically an intelligent package for waterless keep-alive transportation oxygenation. The RFID tag 303 may specifically be an RFID flexible smart tag for smart labeling of the oxygenation package and collection of key microenvironment parameters.
As shown in fig. 3, on the basis of the above embodiment, the system for monitoring the stress level of the water-free keep-alive individual in aquatic products without damage and dynamics further comprises: thermal insulating sealing material 305 and inert cooling gas 304, and water-free keep-alive transport package 302 are disposed in thermal insulating sealing material 305, and stability of monitoring dynamic monitoring and external signal interference can be maintained and reduced through thermal insulating sealing material 305. Inert cooling gas 304 is filled in the heat insulating sealing material 305, and the stability of the dynamic monitoring environment can be maintained by cooling through the inert cooling gas 304.
In order to facilitate processing of the acquired characteristic stress signal, the characteristic stress signal can be amplified by the signal amplifier 306, and interference of other media on signal acquisition is reduced by the noise reducer 307. The data module 309 is used to perform simple processing on the characteristic stress signal, such as analog-to-digital conversion. The communication module 310 is used for transmitting the characteristic stress signal to the control processing module for subsequent processing.
In summary, according to the method and the system for lossless and dynamic monitoring of the stress level of the aquatic product anhydrous keep-alive individual, provided by the embodiment of the invention, by constructing a concentration prediction model for the stress level of the aquatic product anhydrous keep-alive transport individual, the characteristic stress signal acquired by the portable scanning probe is mathematically coupled with the key stress index concentration, and lossless and dynamic monitoring and characterization of the stress level of the aquatic product anhydrous keep-alive individual can be quickly and accurately realized on the basis of large-amount data acquisition and optimization.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for nondestructively and dynamically monitoring the stress level of an aquatic product anhydrous keep-alive individual is characterized by comprising the following steps:
collecting key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the individual body surface of the aquatic product;
determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal, and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter;
and acquiring the survival rate of the aquatic product individual at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a water-free keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individual.
2. The method for lossless dynamic monitoring of stress level of aquatic product anhydrous keep-alive individuals according to claim 1, wherein the determining of the concentration of the key stress index of the aquatic product individuals based on the characteristic stress signal specifically comprises:
inputting the characteristic stress signal into a concentration prediction model to obtain the concentration of the key stress index output by the concentration prediction model;
the concentration prediction model is used for representing the corresponding relation between the characteristic stress signal of the mucus on the body surface of the individual aquatic product and the concentration of the key stress index of the individual aquatic product.
3. The method for lossless dynamic monitoring of stress level of aquatic product anhydrous keep-alive individuals according to claim 2, wherein the concentration prediction model is specifically constructed by the following method:
acquiring a characteristic stress signal sample of mucus on the body surface of an individual aquatic product sample in the waterless keep-alive transportation process of an aquatic product, a characteristic signal sample of the mucus on the body surface of the individual aquatic product sample in a normal state and an interference characteristic signal sample of an waterless keep-alive package of the aquatic product;
respectively sampling the characteristic stress signal sample, the characteristic signal sample and the interference characteristic signal sample to obtain a characteristic stress signal sample matrix, a characteristic signal sample matrix and an interference characteristic signal sample matrix, wherein the numbers of elements in the characteristic stress signal sample matrix, the characteristic signal sample matrix and the interference characteristic signal sample matrix are the same;
respectively determining Euclidean distances between each element in the characteristic stress signal sample matrix and corresponding elements in the characteristic signal sample matrix and the interference characteristic signal sample matrix, and constructing an error correction matrix based on the Euclidean distances;
and determining a sample corresponding relation between the characteristic stress signal sample matrix and the key stress index concentration of the aquatic product individual sample based on the error correction matrix, the characteristic stress signal sample matrix and the characteristic signal sample matrix, and taking the sample corresponding relation as the corresponding relation.
4. The method for lossless dynamic monitoring of the stress level of the aquatic product anhydrous keep-alive individual according to claim 3, wherein the constructing of the error correction matrix based on the Euclidean distance specifically comprises:
determining the error correction matrix by:
Figure FDA0002462229240000021
wherein A is the error correction matrix, PAOIs a sample matrix of the characteristic stress signals, D1A first Euclidean distance matrix formed by Euclidean distances between each element in the characteristic stress signal sample matrix and the corresponding element in the characteristic signal sample matrix, D2And a second Euclidean distance matrix formed by Euclidean distances between each element in the characteristic stress signal sample matrix and the corresponding element in the interference characteristic signal sample matrix.
5. The method for lossless dynamic monitoring of stress level of aquatic product anhydrous keep-alive individuals according to claim 3, wherein the determining of the sample correspondence between the characteristic stress signal sample matrix and the concentration of the key stress index of the aquatic product individual sample based on the error correction matrix, the characteristic stress signal sample matrix and the characteristic signal sample matrix specifically comprises:
determining the sample correspondence by the following formula:
Figure FDA0002462229240000022
wherein y is the key stress index concentration of the aquatic product individual sample, lambda is a constant, A is the error correction matrix, and x11Is row 1 and column 1 element, x 'in the characteristic stress signal sample matrix'11Is the 1 st row and 1 st column element, x in the characteristic signal sample matrixiiIs the ith row and ith column element, x 'in the characteristic stress signal sample matrix'iiIs the ith row and ith column element in the characteristic signal sample matrix.
6. The method for the non-destructive dynamic monitoring of the stress level of an aquatic product anhydrous keep-alive individual according to any one of claims 1-5, wherein the key microenvironment parameters have several categories; accordingly, the number of the first and second electrodes,
calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameters, and specifically comprises the following steps:
determining the accumulated variation of the key microenvironment parameters of each category from the initial time to the acquisition time;
determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation.
7. The method for lossless dynamic monitoring of the stress level of an aquatic product anhydrous keep-alive individual according to claim 6, wherein the determining the stress correction factor based on the influence weight corresponding to the key microenvironment parameter of each category and the accumulated variation specifically includes:
determining the stress correction factor based on the following formula:
Figure FDA0002462229240000031
wherein the content of the first and second substances,
Figure FDA0002462229240000032
is the stress correction factor, t0Is the initial time, T is the acquisition time, Δ ξ1Is a first category of variation of the key micro-environmental parameter,
Figure FDA0002462229240000033
the key microenvironment parameter for the first category is from t0To the cumulative amount of change in the T,
Figure FDA0002462229240000034
said gate being of a first classWeight of influence, Δ ξ, corresponding to key microenvironment parameter2A second category of variation of the key micro-environmental parameter,
Figure FDA0002462229240000035
from t for the second category of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure FDA0002462229240000036
a corresponding influence weight, Δ ξ, for the second category of the key microenvironment parameternIs the amount of variation of the nth class of key microenvironment parameter,
Figure FDA0002462229240000037
from t for the nth class of the key microenvironment parameter0To the cumulative amount of change in the T,
Figure FDA0002462229240000041
and the influence weight corresponding to the key microenvironment parameter of the nth category is n which is more than or equal to 1.
8. The method for lossless dynamic monitoring of the stress level of the aquatic product anhydrous keep-alive individual according to any one of claims 1 to 5, wherein the model for lossless dynamic prediction of the stress level of the anhydrous keep-alive transportation individual is specifically as follows:
Figure FDA0002462229240000042
wherein the content of the first and second substances,
Figure FDA0002462229240000043
at a time t0Stress amount of key stress index in time period to time T, T0Is an initial moment, T is a collection moment, S is the survival rate of the aquatic product individuals at the T moment, yTIs the concentration of the key stress index at the T moment,
Figure FDA0002462229240000044
is a stress correction factor of aquatic product individuals at the T moment.
9. An aquatic product anhydrous keep-alive individual stress level nondestructive dynamic monitoring system is characterized by comprising: the device comprises an acquisition module, a data module and a control processing module; the acquisition module is connected with the data module, and the data module is in communication connection with the control processing module;
the acquisition module is used for acquiring key microenvironment parameters of the aquatic product in the waterless keep-alive transportation process and characteristic stress signals of mucus on the body surface of an individual aquatic product;
the data module is used for determining the concentration of a key stress index of the aquatic product individual based on the characteristic stress signal and calculating a stress correction factor of the aquatic product individual based on the key microenvironment parameter;
the control processing module is used for obtaining the survival rate of the aquatic product individuals at the acquisition moment, inputting the survival rate, the key stress index concentration and the stress correction factor into a waterless keep-alive transportation individual stress level lossless dynamic prediction model, and determining the stress level of the aquatic product individuals.
10. The system for lossless dynamic monitoring of stress level of aquatic product anhydrous keep-alive individuals according to claim 9, wherein the obtaining module specifically comprises: radio Frequency Identification (RFID) tags and scanning probes;
the RFID tag is fixed in the waterless keep-alive transport package and is used for acquiring the key microenvironment parameters;
the scanning probe is used for acquiring the characteristic stress signal.
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