Live fish lightering state evaluation method and system based on data analysis

Abstract

The invention relates to the field of lightering state evaluation, and discloses a live fish lightering state evaluation method and system based on data analysis, and the method comprises the following steps: carrying out the type classification of target live fishes, carrying out the lightering feasibility analysis and live fish transfer preparation of a transfer box, and obtaining a target transfer box; carrying out lightering test on the target transfer box, and optimizing lightering equipment based on a test result to obtain qualified lightering equipment; qualified lightering equipment is used for carrying out lightering treatment on the target transfer box, the oxygen concentration of water in the target transfer box is monitored in real time in the lightering treatment period, and target live fish swimming state evaluation and water salinity adjustment are carried out after lightering treatment. By maintaining the transfer box and the lightering equipment in the normal state and analyzing the swimming state of live fishes after the live fishes are in the normal state to maintain the transfer box and the lightering equipment to realize lightering treatment, the lightering efficiency can be improved, the survival rate of the live fishes after lightering is improved, and the purpose of lossless live fish lightering is achieved.

Description

Technical Field

[0001] The present invention relates to the field of barge state assessment, and in particular to a live fish barge state assessment method and system based on data analysis. Background Art

[0002] Barge generally refers to a large ship docking at a pier, buoy, loading and unloading platform, or a large ship loading and unloading cargo with a barge or other small boat at an anchorage, which is usually used for port operations. In this application, live fish barge means placing live fish in a transfer box in a live fish transport ship and transferring them to a marine aquaculture facility via barge equipment, such as a barge, crane, conveyor belt, etc. During the live fish barge process, problems may occur in the transfer box and the barge equipment. At the same time, the live fish may also die or become sick in the transfer box. Therefore, it is necessary to screen the transfer box and the barge equipment, locate and repair faults, etc. during the barge process, and appropriately adjust the living environment of the live fish so that the live fish can be barged without damage, improve the efficiency of barge, and increase the survival rate of the live fish and promote economic benefits. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method and system for evaluating the status of live fish barge transfers based on data analysis.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for evaluating the status of live fish barge transfer based on data analysis, comprising the following steps:

[0006] Acquiring characteristic information of target live fish, and classifying the target live fish according to the characteristic information of the target live fish;

[0007] Conduct a feasibility analysis on all transfer boxes used for transfer processing to obtain transfer boxes that can be transferred, and prepare live fish transfer in the transfer boxes that can be transferred to obtain target transfer boxes;

[0008] Use the transfer equipment to conduct a transfer test on the target transfer box, and optimize the transfer equipment based on the transfer time of the target transfer box during the transfer test;

[0009] Use qualified transfer equipment to transfer the target transfer box, monitor the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjust the oxygen concentration of the water in the target transfer box based on the monitoring results;

[0010] After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation results.

[0011] Furthermore, in a preferred embodiment of the present invention, the characteristic information of the target live fish is obtained, and the target live fish are classified based on the characteristic information of the target live fish, specifically:

[0012] The live fish caught on the live fish transport vessel and to be transported to the marine aquaculture facility are defined as target live fish, and images of the target live fish are acquired by an image acquisition device;

[0013] Performing grayscale processing and noise reduction processing on the image of the target live fish to obtain a grayscale noise reduction image of the target live fish, and performing threshold segmentation processing on the grayscale noise reduction image of the target live fish to obtain characteristic information of the target live fish;

[0014] Obtaining all live fish species information in a big data network, and performing fuzzy set acquisition on the species information of all live fish based on a fuzzy clustering method, so that different target live fish species information corresponds to a fuzzy set, and all fuzzy sets have a fuzzy center;

[0015] All fuzzy sets are initialized to obtain the initialized fuzzy sets, and the Euclidean distance between the target live fish feature information and the fuzzy center of different initialized fuzzy sets is iteratively calculated based on the Euclidean distance method and genetic algorithm.

[0016] Determining the membership between the target live fish feature information and the different initialized fuzzy sets based on the Euclidean distance between the fuzzy centers of the target live fish feature information and the different initialized fuzzy sets, analyzing the membership between the target live fish feature information and the different initialized fuzzy sets, and determining the type of the target live fish based on the analysis results;

[0017] Based on the types of the target live fish, the target live fish are classified and the target live fish of the same type are defined as the same type of target live fish.

[0018] Furthermore, in a preferred embodiment of the present invention, the feasibility analysis of all transfer boxes used for transfer processing is performed to obtain transfer boxes that can be transferred, and live fish transfer preparation is performed in the transfer boxes that can be transferred to obtain target transfer boxes, specifically:

[0019] Obtain all transfer boxes used for transshipment processing, define them as a type of transfer boxes, construct three-dimensional models of all the type-one transfer boxes, and obtain a three-dimensional model of the type-one transfer boxes;

[0020] Obtain a standard three-dimensional model of a class of transfer boxes, and calculate the overlap rate between the three-dimensional model of the class of transfer boxes and the standard three-dimensional model of the class of transfer boxes. If the overlap rate is less than a preset value, define the class of transfer boxes corresponding to the three-dimensional model of the class of transfer boxes as a non-transferable transfer box.

[0021] If the overlap rate is greater than the preset value, the first-class transfer box corresponding to the three-dimensional model of the first-class transfer box is defined as a second-class transfer box, and a sealing test is performed on all the second-class transfer boxes. The second-class transfer boxes that pass the sealing test are defined as transfer-capable transfer boxes.

[0022] Add detergent to rinse and remove impurities from all transferable containers, and use disinfectant to disinfect the transferable containers to obtain disinfected transferable containers;

[0023] Obtain the survival rate of target live fish under different oxygen concentrations, calibrate the oxygen concentration with the highest survival rate of target live fish as the optimal oxygen concentration, and obtain the specification parameters of the sterilized transfer box;

[0024] Based on the optimal oxygen concentration and the specification parameters of the sterilized transferable transfer box, oxygen, water and target live fish are filled into the sterilized transferable transfer box so that the live fish in the same transferable transfer box are all target live fish of the same species, thereby obtaining a target transfer box.

[0025] Furthermore, in a preferred embodiment of the present invention, the barge equipment is used to perform a barge test on the target transfer box, and during the barge test, the barge equipment is optimized based on the barge time of the target transfer box, specifically:

[0026] Obtain equipment for the transfer of target transfer tanks from live fish carriers and marine aquaculture facilities, defined as transfer equipment;

[0027] Performing sample extraction processing on the target transfer box to obtain a target transfer box sample, performing a transshipment test on the target transfer box sample through transshipment equipment to obtain a transshipment time of the target transfer box sample, and presetting a standard transshipment time for the target transfer box sample;

[0028] If the transfer time of the target transfer box sample is not greater than the standard transfer time, the transfer equipment will be calibrated as a normal transfer equipment;

[0029] If the transfer time of the target transfer box sample is longer than the standard transfer time, the transfer equipment is marked as an abnormal transfer equipment, and the operating parameters of the abnormal transfer equipment are obtained. The operating parameters of the abnormal transfer equipment are analyzed by combining the Markov chain algorithm and the Bayesian algorithm to determine whether the abnormal transfer equipment has a fault;

[0030] If the abnormal transfer equipment has a fault, the fault repair method output of the abnormal transfer equipment is retrieved based on the big data network to obtain a class of optimized transfer equipment;

[0031] If the abnormal transfer equipment does not have a fault, a first-class protection plan for the target transfer box sample is obtained in the big data network and output to the abnormal transfer equipment, so that the transfer time of the target transfer box sample is no longer than the standard transfer time, and a second-class optimized transfer equipment is obtained;

[0032] Qualified transshipment equipment is obtained by combining the first-class optimized transshipment equipment, the second-class optimized transshipment equipment and the normal transshipment equipment.

[0033] Furthermore, in a preferred embodiment of the present invention, the target transfer box is transferred using qualified transfer equipment, and the oxygen concentration of the water in the target transfer box is monitored in real time during the transfer process, and the oxygen concentration of the water in the target transfer box is adjusted based on the monitoring results, specifically:

[0034] The target transfer box is transferred by qualified transfer equipment, and a vibrator and an oxygen concentration sensor are installed in the target transfer box before the transfer;

[0035] During the transfer process, the oxygen concentration sensor is activated to obtain the oxygen concentration of the water in the target transfer box, and based on the optimal oxygen concentration, a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold are obtained;

[0036] If, during the transfer process, the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold, there is no need to adjust the oxygen concentration of the water in the target transfer box;

[0037] If, during the transfer process, the oxygen concentration of the water in the target transfer box is between a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold, the vibrator is activated to vibrate the water in the target transfer box so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process;

[0038] If the oxygen concentration of the water in the target transfer box is still between the first abnormal oxygen concentration threshold and the second abnormal oxygen concentration threshold after the vibrator vibrates the water in the target transfer box, the water in the target transfer box is oxygenated so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process;

[0039] If the oxygen concentration of the water in the target transfer box is lower than the second abnormal oxygen concentration threshold during the transfer process, the target transfer box is replaced with water so that the oxygen concentration of the water in the target transfer box is always higher than the first abnormal oxygen concentration threshold during the transfer process.

[0040] Furthermore, in a preferred embodiment of the present invention, after the target transfer box is transferred, the swimming state of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the state evaluation result, specifically:

[0041] Based on a big data network search, the salinity of water most suitable for the survival of target live fish is calibrated as the optimal salinity. After the target transfer box is transferred, the salinity of the water is adjusted to the optimal salinity in a marine aquaculture facility, and the target live fish are placed in the marine aquaculture facility to observe the swimming status of the target live fish, including the swimming range and swimming speed;

[0042] Presetting a standard swimming state of the target live fish, calculating the similarity between the swimming state of the target live fish and the standard swimming state, and maintaining the salinity of the water at the optimal salinity in the marine aquaculture facility if the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value;

[0043] If the similarity between the target live fish's swimming state and the standard swimming state is less than a preset value, the salinity of the water in the target transfer tank after the barge process is obtained to obtain a first salinity, the salinity of the water is adjusted to the first salinity in the marine aquaculture facility, and the swimming state of the target live fish is introduced into a convolutional neural network to predict the salinity adjustment rate to obtain the salinity adjustment rate;

[0044] In a marine aquaculture facility, based on the salinity adjustment rate, the salinity of water is adjusted from a first salinity to an optimal salinity so that the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value;

[0045] If the similarity between the swimming state of the target live fish and the standard swimming state is still less than the preset value after the salinity of the water is adjusted from the first salinity to the optimal salinity, the corresponding target live fish will be marked as a problem live fish, and the problem live fish will be caught and brought ashore for treatment.

[0046] A second aspect of the present invention further provides a live fish barge status assessment system based on data analysis, the live fish barge status assessment system comprising a memory and a processor, wherein the memory stores a live fish barge status assessment method, and when the live fish barge status assessment method is executed by the processor, the following steps are implemented:

[0047] Acquiring characteristic information of target live fish, and classifying the target live fish according to the characteristic information of the target live fish;

[0048] Conduct a feasibility analysis on all transfer boxes used for transfer processing to obtain transfer boxes that can be transferred, and prepare live fish transfer in the transfer boxes that can be transferred to obtain target transfer boxes;

[0049] Use the transfer equipment to conduct a transfer test on the target transfer box, and optimize the transfer equipment based on the transfer time of the target transfer box during the transfer test;

[0050] Use qualified transfer equipment to transfer the target transfer box, monitor the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjust the oxygen concentration of the water in the target transfer box based on the monitoring results;

[0051] After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation results.

[0052] The present invention solves the technical defects existing in the background technology, and the present invention has the following beneficial effects: the target live fish are classified by species, and the transfer box used for the transfer processing is subjected to a transfer feasibility analysis and live fish transfer preparation to obtain a target transfer box; before the target transfer box is transferred, the target transfer box is subjected to a transfer test, and the transfer equipment is optimized based on the test results to obtain a qualified transfer equipment; the qualified transfer equipment is used to perform the transfer processing of the target transfer box, and the oxygen concentration of the water in the target transfer box is monitored in real time during the transfer processing, and the swimming state of the target live fish and the water salinity are evaluated after the transfer processing. The present invention can help improve the efficiency of transfer processing and the survival rate of the live fish after transfer processing by maintaining the transfer box and the transfer equipment in a normal state. It can achieve the purpose of non-destructive live fish transfer. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, they can also obtain drawings of other embodiments based on these drawings.

[0054] Figure 1 A flow chart of a method for evaluating the status of live fish barge transfer based on data analysis is shown;

[0055] Figure 2 A flow chart of a method for obtaining a target transfer box and qualified transshipment equipment is shown;

[0056] Figure 3 The program diagram of a live fish transfer status assessment system based on data analysis is shown. DETAILED DESCRIPTION

[0057] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0058] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0059] Figure 1 A flow chart of a method for evaluating the status of live fish barge transfer based on data analysis is shown, comprising the following steps:

[0060] S102: Acquire characteristic information of target live fish, and classify the target live fish based on the characteristic information of the target live fish;

[0061] S104: Performing a transshipment feasibility analysis on all transshipment boxes used for transshipment processing to obtain transshipment-capable transshipment boxes, and performing live fish transshipment preparations in the transshipment-capable transshipment boxes to obtain target transshipment boxes;

[0062] S106: Using the transshipment equipment to perform a transshipment test on the target transshipment box, and optimizing the transshipment equipment based on the transshipment time of the target transshipment box during the transshipment test;

[0063] S108: Using qualified transfer equipment to transfer the target transfer box, monitoring the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjusting the oxygen concentration of the water in the target transfer box based on the monitoring results;

[0064] S110: After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation result.

[0065] Furthermore, in a preferred embodiment of the present invention, the characteristic information of the target live fish is obtained, and the target live fish are classified based on the characteristic information of the target live fish, specifically:

[0066] The live fish caught on the live fish transport vessel and to be transported to the marine aquaculture facility are defined as target live fish, and images of the target live fish are acquired by an image acquisition device;

[0067] Performing grayscale processing and noise reduction processing on the image of the target live fish to obtain a grayscale noise reduction image of the target live fish, and performing threshold segmentation processing on the grayscale noise reduction image of the target live fish to obtain characteristic information of the target live fish;

[0068] Obtaining all live fish species information in a big data network, and performing fuzzy set acquisition on the species information of all live fish based on a fuzzy clustering method, so that different target live fish species information corresponds to a fuzzy set, and all fuzzy sets have a fuzzy center;

[0069] All fuzzy sets are initialized to obtain the initialized fuzzy sets, and the Euclidean distance between the target live fish feature information and the fuzzy center of different initialized fuzzy sets is iteratively calculated based on the Euclidean distance method and genetic algorithm.

[0070] Determining the membership between the target live fish feature information and the different initialized fuzzy sets based on the Euclidean distance between the fuzzy centers of the target live fish feature information and the different initialized fuzzy sets, analyzing the membership between the target live fish feature information and the different initialized fuzzy sets, and determining the type of the target live fish based on the analysis results;

[0071] Based on the types of the target live fish, the target live fish are classified and the target live fish of the same type are defined as the same type of target live fish.

[0072] It should be noted that after being caught at sea and brought ashore, live fish need to be transferred from the live fish transport vessel to a marine aquaculture facility via transfer boxes for aquaculture processing. This process of transferring the live fish to the transfer boxes is called barge processing. Since there are many types of live fish, and the living habits of different species may vary—for example, some live fish may be natural enemies of others—live fish need to be classified by species to ensure that they are not affected by other live fish during transportation. Fuzzy clustering can be used to classify live fish based on their characteristic information. Using all possible species of live fish as a fuzzy set, the purpose of calculating the Euclidean distance is to calculate the degree of membership. The higher the degree of membership, the more accurate the determination of the target fish species. The genetic algorithm's function is to perform iterative calculations while performing the Euclidean distance calculation, finding the optimal value output and making the calculation more accurate. Finally, after the live fish are classified, target live fish of the same species are defined as the same type. The purpose is to place target live fish of the same species in the same transfer box during transportation. The present invention can classify target live fish by species using fuzzy clustering.

[0073] Furthermore, in a preferred embodiment of the present invention, the target transfer box is transferred using qualified transfer equipment, and the oxygen concentration of the water in the target transfer box is monitored in real time during the transfer process, and the oxygen concentration of the water in the target transfer box is adjusted based on the monitoring results, specifically:

[0074] The target transfer box is transferred by qualified transfer equipment, and a vibrator and an oxygen concentration sensor are installed in the target transfer box before the transfer;

[0075] During the transfer process, the oxygen concentration sensor is activated to obtain the oxygen concentration of the water in the target transfer box, and based on the optimal oxygen concentration, a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold are obtained;

[0076] If, during the transfer process, the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold, there is no need to adjust the oxygen concentration of the water in the target transfer box;

[0077] If, during the transfer process, the oxygen concentration of the water in the target transfer box is between a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold, the vibrator is activated to vibrate the water in the target transfer box so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process;

[0078] If the oxygen concentration of the water in the target transfer box is still between the first abnormal oxygen concentration threshold and the second abnormal oxygen concentration threshold after the vibrator vibrates the water in the target transfer box, the water in the target transfer box is oxygenated so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process;

[0079] If the oxygen concentration of the water in the target transfer box is lower than the second abnormal oxygen concentration threshold during the transfer process, the target transfer box is replaced with water so that the oxygen concentration of the water in the target transfer box is always higher than the first abnormal oxygen concentration threshold during the transfer process.

[0080] It should be noted that during the transfer process of the transfer box, the oxygen concentration of the water in the target transfer box may decrease due to the increase in temperature or the respiration of the target live fish in the target transfer box, resulting in the target live fish not being able to obtain sufficient oxygen supply, thus becoming sick or dying. Therefore, it is necessary to maintain the oxygen concentration of the water in the target transfer box at a normal level during the transfer process. The oxygen concentration of the water in the target transfer box is obtained through the oxygen concentration sensor. If the oxygen concentration is consistently greater than the first abnormal oxygen concentration threshold, it proves that the oxygen concentration of the water remains normal and no treatment is required. If the oxygen concentration is between the first abnormal oxygen concentration threshold and the second abnormal oxygen concentration threshold, it proves that the oxygen concentration of the water in the current target transfer box may have decreased due to some external reasons. The water can be vibrated to increase its fluidity, thereby increasing the oxygen concentration so that the oxygen concentration of the water is always greater than the first abnormal oxygen concentration threshold during the transfer process. If the vibration effect is not good, then directly select oxygenation treatment to maintain the oxygen concentration always greater than the first abnormal oxygen concentration threshold. If the oxygen concentration of the water in the target transfer box is lower than the second abnormal oxygen concentration threshold, it proves that the water may have deteriorated, such as being contaminated by live fish excrement, resulting in a very low oxygen concentration in the water. Vibration and oxygenation cannot increase the oxygen concentration in the target transfer box, so water replacement is required to maintain the oxygen concentration always greater than the first abnormal oxygen concentration threshold.

[0081] Furthermore, in a preferred embodiment of the present invention, after the target transfer box is transferred, the swimming state of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the state evaluation result, specifically:

[0082] Based on a big data network search, the salinity of water most suitable for the survival of target live fish is calibrated as the optimal salinity. After the target transfer box is transferred, the salinity of the water is adjusted to the optimal salinity in a marine aquaculture facility, and the target live fish are placed in the marine aquaculture facility to observe the swimming status of the target live fish, including the swimming range and swimming speed;

[0083] Presetting a standard swimming state of the target live fish, calculating the similarity between the swimming state of the target live fish and the standard swimming state, and maintaining the salinity of the water at the optimal salinity in the marine aquaculture facility if the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value;

[0084] If the similarity between the target live fish's swimming state and the standard swimming state is less than a preset value, the salinity of the water in the target transfer tank after the barge process is obtained to obtain a first salinity, the salinity of the water is adjusted to the first salinity in the marine aquaculture facility, and the swimming state of the target live fish is introduced into a convolutional neural network to predict the salinity adjustment rate to obtain the salinity adjustment rate;

[0085] In a marine aquaculture facility, based on the salinity adjustment rate, the salinity of water is adjusted from a first salinity to an optimal salinity so that the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value;

[0086] If the similarity between the swimming state of the target live fish and the standard swimming state is still less than the preset value after the salinity of the water is adjusted from the first salinity to the optimal salinity, the corresponding target live fish will be marked as a problem live fish, and the problem live fish will be caught and brought ashore for treatment.

[0087] It should be noted that during the transfer of the target transfer tank, the water inside may become contaminated, for example, by fish excretion or by rising water temperature, leading to an increase in the salinity of salts such as nitrites, nitrates, and phosphates. After the target fish have adapted to the salinity of the water in the target transfer tank, they are then transferred to the marine aquaculture facility. If the salinity of the water there differs significantly from that in the target transfer tank, the target fish may become irritated, jump around, or become sick and die due to not adapting to the salinity of the water in the marine aquaculture facility. Therefore, when the target fish are placed in the water of the optimal salinity in the marine aquaculture facility, their swimming behavior needs to be analyzed to determine whether they have adapted to the new aquaculture environment. If the target fish's swimming behavior in the optimal salinity water is normal—that is, if the similarity between their swimming behavior and the standard swimming behavior is greater than a preset value—then the salinity of the marine aquaculture facility water does not need to be adjusted. If the target fish's swimming behavior in water of optimal salinity is abnormal—that is, the similarity between its swimming behavior and the standard swimming behavior is less than a preset value—directly placing the target fish in water of optimal salinity indicates problems. In this case, the salinity of the water in the marine aquaculture facility needs to be adjusted to the salinity of the water in the target transport tank after the shipboard transfer process, ensuring that the target fish can directly adapt to the salinity of the water when placed in the marine aquaculture facility. A convolutional neural network is then used to predict the salinity adjustment rate, which is the rate at which the salinity of the water in the marine aquaculture facility is adjusted, taking into account the target fish's swimming behavior. Under normal circumstances, adjusting the salinity of the marine aquaculture facility's water based on the salinity adjustment rate, ultimately achieving the optimal salinity, allows the target fish to gradually adapt to the new salinity environment, thereby restoring their swimming behavior to normal. If the target fish's swimming behavior remains abnormal in the gradually adjusted salinity environment, it indicates that the target fish may have died or become ill during the shipboard transfer process and requires further treatment before being cultured. The present invention can analyze the swimming state of target live fish and adjust the salinity of water in marine aquaculture facilities based on the analysis results.

[0088] Figure 2 A flow chart of a method for obtaining a target transfer box and qualified transshipment equipment is shown, including the following steps:

[0089] S202: Analyze whether the transfer boxes used for the ship-to-ship process meet the standards by using a three-dimensional model method, and select transfer boxes that can be transferred;

[0090] S204: preparing for live fish transfer in the transferable transfer box to obtain a target transfer box;

[0091] S206: Perform a transshipment test on the target transfer box using the transshipment equipment, and optimize the transshipment equipment based on the transshipment time of the target transfer box during the transshipment test.

[0092] Furthermore, in a preferred embodiment of the present invention, the three-dimensional model method is used to analyze whether the transfer boxes used for the shipbuilding process meet the standards, and the transfer boxes that can be transferred are selected, specifically:

[0093] Obtain all transfer boxes used for transshipment processing, define them as a type of transfer boxes, construct three-dimensional models of all the type-one transfer boxes, and obtain a three-dimensional model of the type-one transfer boxes;

[0094] Obtain a standard three-dimensional model of a class of transfer boxes, and calculate the overlap rate between the three-dimensional model of the class of transfer boxes and the standard three-dimensional model of the class of transfer boxes. If the overlap rate is less than a preset value, define the class of transfer boxes corresponding to the three-dimensional model of the class of transfer boxes as a non-transferable transfer box.

[0095] If the overlap rate is greater than the preset value, the first-class transfer box corresponding to the three-dimensional model of the first-class transfer box is defined as a second-class transfer box, all second-class transfer boxes are subjected to a sealing test, and the second-class transfer boxes that pass the sealing test are defined as transferable transfer boxes.

[0096] It should be noted that before the transfer box is transferred, the appearance and sealing of the transfer box need to be analyzed. Because the transfer box may be damaged on the surface due to bumps, exposure to the sun, immersion in seawater, etc., the damaged transfer box may have poor sealing and may leak, etc., which is not conducive to the transfer of target live fish. By constructing a three-dimensional model of the transfer box and a standard three-dimensional model of the transfer box, and performing an overlap analysis, it can be known whether the appearance of the transfer box is damaged. If the overlap is less than the preset value, that is, the degree of damage is large, the transfer box cannot be used for live fish transfer. If the overlap is greater than the preset value, it cannot be determined whether the transfer box is usable. Because some internal structures cannot be obtained through the three-dimensional model, a sealing test is required to determine whether there is leakage. The transfer box that passes the sealing test is defined as a transfer box that can be transferred. The present invention can screen transfer boxes that can be used for transfer by constructing a three-dimensional model of the transfer box for surface analysis and combining it with a sealing test.

[0097] Furthermore, in a preferred embodiment of the present invention, the preparation for live fish transfer in the transferable transfer box to obtain the target transfer box is specifically:

[0098] Add detergent to rinse and remove impurities from all transferable containers, and use disinfectant to disinfect the transferable containers to obtain disinfected transferable containers;

[0099] Obtain the survival rate of target live fish under different oxygen concentrations, calibrate the oxygen concentration with the highest survival rate of target live fish as the optimal oxygen concentration, and obtain the specification parameters of the sterilized transfer box;

[0100] Based on the optimal oxygen concentration and the specification parameters of the sterilized transferable transfer box, oxygen, water and target live fish are filled into the sterilized transferable transfer box so that the live fish in the same transferable transfer box are all target live fish of the same species, thereby obtaining a target transfer box.

[0101] It should be noted that preparations need to be made before the live fish are transferred from the transport ship to the marine aquaculture facility, that is, preparations need to be made for the transfer box that can be transferred. This includes cleaning and disinfecting the transfer box to avoid poisoning of the live fish in the transfer box, or affecting the effect of transfer, and failing to achieve lossless transfer. It also includes flushing water with a suitable oxygen concentration into the transfer box to ensure the inventory of live fish during the transfer process. The specifications of the transfer box are used to determine the amount of oxygen charged, the amount of water charged, and the number of target live fish, and finally obtain the target transfer box. The present invention can obtain a target transfer box by preparing the transfer box for live fish transfer.

[0102] Furthermore, in a preferred embodiment of the present invention, the barge equipment is used to perform a barge test on the target transfer box, and during the barge test, the barge equipment is optimized based on the barge time of the target transfer box, specifically:

[0103] Obtain equipment for the transfer of target transfer tanks from live fish carriers and marine aquaculture facilities, defined as transfer equipment;

[0104] Performing sample extraction processing on the target transfer box to obtain a target transfer box sample, performing a transshipment test on the target transfer box sample through transshipment equipment to obtain a transshipment time of the target transfer box sample, and presetting a standard transshipment time for the target transfer box sample;

[0105] If the transfer time of the target transfer box sample is not greater than the standard transfer time, the transfer equipment will be calibrated as a normal transfer equipment;

[0106] If the transfer time of the target transfer box sample is longer than the standard transfer time, the transfer equipment is marked as an abnormal transfer equipment, and the operating parameters of the abnormal transfer equipment are obtained. The operating parameters of the abnormal transfer equipment are analyzed by combining the Markov chain algorithm and the Bayesian algorithm to determine whether the abnormal transfer equipment has a fault;

[0107] If the abnormal transfer equipment has a fault, the fault repair method output of the abnormal transfer equipment is retrieved based on the big data network to obtain a class of optimized transfer equipment;

[0108] If the abnormal transfer equipment does not have a fault, a first-class protection plan for the target transfer box sample is obtained in the big data network and output to the abnormal transfer equipment, so that the transfer time of the target transfer box sample is no longer than the standard transfer time, and a second-class optimized transfer equipment is obtained;

[0109] Qualified transshipment equipment is obtained by combining the first-class optimized transshipment equipment, the second-class optimized transshipment equipment and the normal transshipment equipment.

[0110] It should be noted that the transfer equipment used to transfer the target transfer container includes, but is not limited to, barges, cranes, conveyor belts, and other equipment capable of handling the transfer. Before transferring the target transfer container, a transfer test is required to verify the equipment's safety. Faults can affect transfer efficiency, such as excessive transfer times or other issues. During the transfer test, the transfer times of a sample of target transfer containers are collected. Normal transfer times indicate the equipment is functioning properly. If the transfer times are abnormal, the cause of the abnormality needs to be analyzed. This could be due to an internal fault within the equipment, or environmental factors, such as high temperatures or excessive wind speeds, which can affect the equipment's efficiency. Based on the cause, a corresponding optimization solution is searched within the big data network. One type of protection solution includes, but is not limited to, windproofing the target transfer container or cooling the transfer equipment. The optimized transfer equipment, along with the normal transfer equipment, is collectively referred to as qualified transfer equipment.

[0111] In addition, the live fish transshipment status assessment method based on data analysis further comprises the following steps:

[0112] Analyze the swimming state of the problem live fish, preset the dangerous swimming state of the problem live fish, and calculate the similarity between the swimming state of the problem live fish and the dangerous swimming state;

[0113] If the similarity between the swimming state of the problem fish and the dangerous swimming state is less than a preset value, the problem fish is marked as a fish to be tested; if the similarity between the swimming state of the problem fish and the dangerous swimming state is greater than a preset value, the problem fish is marked as an untreatable fish;

[0114] If the live fish in question is an incurable fish, the incurable fish shall be directly discarded;

[0115] If the problem live fish is the live fish to be tested, then the excrement of the live fish to be tested is obtained, and the excrement of the live fish to be tested is sampled and analyzed. The cause of the disease of the live fish to be tested is obtained through the sampling and analysis results;

[0116] Analyzing the cause of the disease of the live fish to be tested to obtain a cause analysis result, and judging whether the live fish to be tested can be cured based on the cause analysis result;

[0117] If so, the live fish to be detected is marked as a live fish to be treated, and the live fish to be treated is treated; if not, the live fish to be detected is marked as an untreatable live fish, and the untreatable live fish is directly discarded.

[0118] It's important to note that problematic fish may be treatable or incurable, awaiting death. Therefore, the fish's swimming state needs to be analyzed. If the similarity between the fish's swimming state and a dangerous state is too great, such as a white belly or prolonged periods of inactivity, the fish is considered incurable. If the similarity is less, the fish may be treatable and requires further analysis. Sampling and analyzing the fish's excrement can determine the cause of the problem and, based on the cause, determine whether the fish is treatable. If it is treatable, it is treated; if not, it is discarded.

[0119] like Figure 3 As shown, the second aspect of the present invention further provides a live fish barge status assessment system based on data analysis, the live fish barge status assessment system includes a memory 31 and a processor 32, the memory 31 stores a live fish barge status assessment method, and when the live fish barge status assessment method is executed by the processor 32, the following steps are implemented:

[0120] Acquiring characteristic information of target live fish, and classifying the target live fish according to the characteristic information of the target live fish;

[0121] Conduct a feasibility analysis on all transfer boxes used for transfer processing to obtain transfer boxes that can be transferred, and prepare live fish transfer in the transfer boxes that can be transferred to obtain target transfer boxes;

[0122] Use the transfer equipment to conduct a transfer test on the target transfer box, and optimize the transfer equipment based on the transfer time of the target transfer box during the transfer test;

[0123] Use qualified transfer equipment to transfer the target transfer box, monitor the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjust the oxygen concentration of the water in the target transfer box based on the monitoring results;

[0124] After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation results.

[0125] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for evaluating the status of live fish transshipment based on data analysis, characterized in that: The following steps are involved: Acquiring characteristic information of target live fish, and classifying the target live fish according to the characteristic information of the target live fish; Conduct a feasibility analysis on all transfer boxes used for transfer processing to obtain transfer boxes that can be transferred, and prepare live fish transfer in the transfer boxes that can be transferred to obtain target transfer boxes; Use the transfer equipment to conduct a transfer test on the target transfer box, and optimize the transfer equipment based on the transfer time of the target transfer box during the transfer test; Use qualified transfer equipment to transfer the target transfer box, monitor the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjust the oxygen concentration of the water in the target transfer box based on the monitoring results; After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation results.

2. A method for evaluating the status of live fish barge transfer based on data analysis according to claim 1, characterized in that: The method of obtaining characteristic information of the target live fish and classifying the target live fish based on the characteristic information of the target live fish is as follows: The live fish caught on the live fish transport vessel and to be transported to the marine aquaculture facility are defined as target live fish, and images of the target live fish are acquired by an image acquisition device; Performing grayscale processing and noise reduction processing on the image of the target live fish to obtain a grayscale noise reduction image of the target live fish, and performing threshold segmentation processing on the grayscale noise reduction image of the target live fish to obtain characteristic information of the target live fish; Obtaining all live fish species information in a big data network, and performing fuzzy set acquisition on the species information of all live fish based on a fuzzy clustering method, so that different target live fish species information corresponds to a fuzzy set, and all fuzzy sets have a fuzzy center; All fuzzy sets are initialized to obtain the initialized fuzzy sets, and the Euclidean distance between the target live fish feature information and the fuzzy center of different initialized fuzzy sets is iteratively calculated based on the Euclidean distance method and genetic algorithm. Determining the membership between the target live fish feature information and the different initialized fuzzy sets based on the Euclidean distance between the fuzzy centers of the target live fish feature information and the different initialized fuzzy sets, analyzing the membership between the target live fish feature information and the different initialized fuzzy sets, and determining the type of the target live fish based on the analysis results; Based on the types of the target live fish, the target live fish are classified and the target live fish of the same type are defined as the same type of target live fish.

3. A method for evaluating the status of live fish barge transfer based on data analysis according to claim 1, characterized in that: The feasibility analysis of all transfer boxes used for transfer processing is performed to obtain transfer boxes that can be transferred, and live fish transfer preparations are performed in the transfer boxes that can be transferred to obtain target transfer boxes, specifically: Obtain all transfer boxes used for transshipment processing, define them as a type of transfer boxes, construct three-dimensional models of all the type-one transfer boxes, and obtain a three-dimensional model of the type-one transfer boxes; Obtain a standard three-dimensional model of a class of transfer boxes, and calculate the overlap rate between the three-dimensional model of the class of transfer boxes and the standard three-dimensional model of the class of transfer boxes. If the overlap rate is less than a preset value, define the class of transfer boxes corresponding to the three-dimensional model of the class of transfer boxes as a non-transferable transfer box. If the overlap rate is greater than the preset value, the first-class transfer box corresponding to the three-dimensional model of the first-class transfer box is defined as a second-class transfer box, and a sealing test is performed on all the second-class transfer boxes. The second-class transfer boxes that pass the sealing test are defined as transfer-capable transfer boxes. Add detergent to rinse and remove impurities from all transferable containers, and use disinfectant to disinfect the transferable containers to obtain disinfected transferable containers; Obtain the survival rate of target live fish under different oxygen concentrations, calibrate the oxygen concentration with the highest survival rate of target live fish as the optimal oxygen concentration, and obtain the specification parameters of the sterilized transfer box; Based on the optimal oxygen concentration and the specification parameters of the sterilized transferable transfer box, oxygen, water and target live fish are filled into the sterilized transferable transfer box so that the live fish in the same transferable transfer box are all target live fish of the same species, thereby obtaining a target transfer box.

4. A method for evaluating the status of live fish barge transfer based on data analysis according to claim 1, characterized in that: The barge equipment is used to perform a barge test on the target transfer box, and the barge equipment is optimized based on the barge time of the target transfer box during the barge test, specifically: Obtain equipment for the transfer of target transfer tanks from live fish carriers and marine aquaculture facilities, defined as transfer equipment; Performing sample extraction processing on the target transfer box to obtain a target transfer box sample, performing a transshipment test on the target transfer box sample through transshipment equipment to obtain a transshipment time of the target transfer box sample, and presetting a standard transshipment time for the target transfer box sample; If the transfer time of the target transfer box sample is not greater than the standard transfer time, the transfer equipment will be calibrated as a normal transfer equipment; If the transfer time of the target transfer box sample is longer than the standard transfer time, the transfer equipment is marked as an abnormal transfer equipment, and the operating parameters of the abnormal transfer equipment are obtained. The operating parameters of the abnormal transfer equipment are analyzed by combining the Markov chain algorithm and the Bayesian algorithm to determine whether the abnormal transfer equipment has a fault; If the abnormal transfer equipment has a fault, the fault repair method output of the abnormal transfer equipment is retrieved based on the big data network to obtain a class of optimized transfer equipment; If the abnormal transfer equipment does not have a fault, a first-class protection plan for the target transfer box sample is obtained in the big data network and output to the abnormal transfer equipment, so that the transfer time of the target transfer box sample is no longer than the standard transfer time, and a second-class optimized transfer equipment is obtained; Qualified transshipment equipment is obtained by combining the first-class optimized transshipment equipment, the second-class optimized transshipment equipment and the normal transshipment equipment.

5. The method for evaluating the status of live fish barge transfer based on data analysis according to claim 1, wherein: The target transfer box is transferred using qualified transfer equipment, and the oxygen concentration of the water in the target transfer box is monitored in real time during the transfer process, and the oxygen concentration of the water in the target transfer box is adjusted based on the monitoring results, specifically: The target transfer box is transferred by qualified transfer equipment, and a vibrator and an oxygen concentration sensor are installed in the target transfer box before the transfer; During the transfer process, the oxygen concentration sensor is activated to obtain the oxygen concentration of the water in the target transfer box, and based on the optimal oxygen concentration, a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold are obtained; If, during the transfer process, the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold, there is no need to adjust the oxygen concentration of the water in the target transfer box; If, during the transfer process, the oxygen concentration of the water in the target transfer box is between a first abnormal oxygen concentration threshold and a second abnormal oxygen concentration threshold, the vibrator is activated to vibrate the water in the target transfer box so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process; If the oxygen concentration of the water in the target transfer box is still between the first abnormal oxygen concentration threshold and the second abnormal oxygen concentration threshold after the vibrator vibrates the water in the target transfer box, the water in the target transfer box is oxygenated so that the oxygen concentration of the water in the target transfer box is always greater than the first abnormal oxygen concentration threshold during the transfer process; If the oxygen concentration of the water in the target transfer box is lower than the second abnormal oxygen concentration threshold during the transfer process, the target transfer box is replaced with water so that the oxygen concentration of the water in the target transfer box is always higher than the first abnormal oxygen concentration threshold during the transfer process.

6. A method for evaluating the status of live fish barge transfer based on data analysis according to claim 1, characterized in that: After the target transfer box is transferred, the swimming state of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the state evaluation result, specifically: Based on a big data network search, the salinity of water most suitable for the survival of target live fish is calibrated as the optimal salinity. After the target transfer box is transferred, the salinity of the water is adjusted to the optimal salinity in a marine aquaculture facility, and the target live fish are placed in the marine aquaculture facility to observe the swimming status of the target live fish, including the swimming range and swimming speed; Presetting a standard swimming state of the target live fish, calculating the similarity between the swimming state of the target live fish and the standard swimming state, and maintaining the salinity of the water at the optimal salinity in the marine aquaculture facility if the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value; If the similarity between the target live fish's swimming state and the standard swimming state is less than a preset value, the salinity of the water in the target transfer tank after the barge process is obtained to obtain a first salinity, the salinity of the water is adjusted to the first salinity in the marine aquaculture facility, and the swimming state of the target live fish is introduced into a convolutional neural network to predict the salinity adjustment rate to obtain the salinity adjustment rate; In a marine aquaculture facility, based on the salinity adjustment rate, the salinity of water is adjusted from a first salinity to an optimal salinity so that the similarity between the swimming state of the target live fish and the standard swimming state is greater than a preset value; If the similarity between the swimming state of the target live fish and the standard swimming state is still less than the preset value after the salinity of the water is adjusted from the first salinity to the optimal salinity, the corresponding target live fish will be marked as a problem live fish, and the problem live fish will be caught and brought ashore for treatment.

7. A live fish transshipment status assessment system based on data analysis, characterized in that: The live fish barge status assessment system includes a memory and a processor. The memory stores a live fish barge status assessment method. When the live fish barge status assessment method is executed by the processor, the following steps are implemented: Acquiring characteristic information of target live fish, and classifying the target live fish according to the characteristic information of the target live fish; Conduct a feasibility analysis on all transfer boxes used for transfer processing to obtain transfer boxes that can be transferred, and prepare live fish transfer in the transfer boxes that can be transferred to obtain target transfer boxes; Use the transfer equipment to conduct a transfer test on the target transfer box, and optimize the transfer equipment based on the transfer time of the target transfer box during the transfer test; Use qualified transfer equipment to transfer the target transfer box, monitor the oxygen concentration of the water in the target transfer box in real time during the transfer process, and adjust the oxygen concentration of the water in the target transfer box based on the monitoring results; After the target transfer box is transferred, the swimming status of the target live fish in the transfer box is evaluated, and the salinity of the water in the marine aquaculture facility is adjusted based on the status evaluation results.

Images