Intelligent Adjustment Method and System for Transportation Environment in Long-Distance Transportation of Japanese Sea Bass

Abstract

The present invention discloses an intelligent adjustment method and system for the transportation environment for long-distance transportation of Japanese seabass, which relates to the technical field of safe long-distance transportation of Japanese seabass, and includes: constructing Japanese seabass transportation characteristics according to the estimated transportation duration, average size of Japanese seabass, quantity of Japanese seabass and water temperature; constructing a recommended dosage model of anesthetic, importing the Japanese seabass transportation characteristics into the trained recommended dosage model of anesthetic, obtaining the recommended dosage of anesthetic for Japanese seabass transportation, anesthetizing the Japanese seabass to be transported, collecting the temperature, water quality and oxygen concentration of the transportation water body during the transportation process, evaluating the activity of the Japanese seabass body, generating an adjustment gradient based on the activity for dynamic adjustment of the transportation water body environment, and additionally setting up emergencies and an emergency plan library to handle transportation emergencies. The present invention realizes dynamic adjustment and fine management during the whole transportation process by optimizing water quality management, improving the oxygen supply system, and introducing intelligent monitoring and control means, so as to ensure the health and survival of Japanese seabass during transportation.

Description

Technical Field

[0001] The present invention relates to the technical field of long-distance safe transportation of Japanese sea bass, and more specifically, to an intelligent transportation environment adjustment method and system for long-distance transportation of Japanese sea bass. Background Art

[0002] In the construction of modern marine ranches, the deep-sea aquaculture of Japanese sea bass has become an important part of enhancing marine economic benefits and achieving sustainable development. However, as a highly economically valuable aquaculture variety, a key link in its production chain is the safe transportation technology of live fish. Live fish transportation not only involves the relay work from land to sea, but also serves as a bridge connecting farms and markets, directly affecting the success and efficiency of deep-sea aquaculture. The live fish transportation technology is crucial for the sales of Japanese sea bass, especially for the sales of fresh live fish. The growing demand of consumers for fresh live fish has put forward higher requirements for the safety and efficiency of the transportation process. Traditional transportation methods often have problems such as long transportation time, improper environmental control, and strong stress responses of fish bodies, resulting in high mortality rates, growth stagnation, and even affecting the meat quality during transportation. This not only causes economic losses but also affects the stability of market supply.

[0003] Current live fish transportation technologies need to comprehensively consider aspects such as water quality control, oxygen supply, temperature regulation, and transportation duration to reduce the negative impacts brought by transportation stress. At the same time, the issue of biosecurity has become increasingly important, and the risk of pathogen transmission is minimized through scientific transportation methods. With the development of technology, innovating and optimizing transportation models, and using advanced transportation equipment and biotechnology means have become the key to solving this problem. Therefore, an efficient long-distance safe transportation technology for Japanese sea bass is needed, which can significantly improve the transportation survival rate and ensure the fish body quality, so as to meet the market demand for high-quality fresh live Japanese sea bass. Summary of the Invention

[0004] To solve the above technical problems, the present invention proposes an intelligent transportation environment adjustment method and system for long-distance transportation of Japanese sea bass, which uses comprehensive health management and treatment measures to optimize the cost and efficiency of transportation on the premise of ensuring the safety of fish bodies during transportation.

[0005] The first aspect of the present invention provides an intelligent transportation environment adjustment method for long-distance transportation of Japanese sea bass, including the following steps:

[0006] Obtain the destination information of Japanese sea bass transportation, estimate the transportation duration based on the destination information, and construct the transportation characteristics of Japanese sea bass according to the estimated transportation duration, average size of Japanese sea bass, number of Japanese sea bass, and water temperature;

[0007] Build a recommended model for anesthetic dosage, use historical live fish transportation instances for model training, import the transfer characteristics of the Japanese seabass into the trained recommended model for anesthetic dosage, and obtain the recommended anesthetic dosage for Japanese seabass transportation;

[0008] Anesthetize the Japanese seabass to be transported according to the recommended anesthetic dosage, collect the temperature, water quality, and oxygen concentration of the transportation water body during transportation, evaluate the activity of the Japanese seabass body, and generate an adjustment gradient based on the activity for dynamic adjustment of the transportation water body environment;

[0009] Set up emergencies and an emergency plan library, then generate an emergency warning when an emergency is detected, and use the water body environment adjustment equipment to ensure the stability of the transportation water body environment.

[0010] In this solution, improve the overall health and stress resistance of Japanese seabass in the preparation stage before transportation, specifically:

[0011] Enhance the health of the liver, gallbladder, and intestines of Japanese seabass by adding multi-vitamins, bile acids, and Clostridium butyricum to the Japanese seabass feed, retrieve a large number of historical live fish transportation instances, and mark the instances that meet the retrieval criteria using multi-vitamins, bile acids, and Clostridium butyricum as retrieval keywords from the large number of historical live fish transportation instances;

[0012] Obtain the average size and quantity information of the Japanese seabass to be transported, conduct a similarity comparison in the marked instances according to the average size and quantity information, screen out the instances with a similarity greater than the preset similarity threshold, determine the addition ratio of multi-vitamins, bile acids, and Clostridium butyricum based on the screened instances, and perform mixing and feeding based on the addition ratio;

[0013] In addition, conduct parasite disinfection on the Japanese seabass to be transported, and conduct sampling detection and targeted prevention and control of viruses and bacteria to reduce the risk of pathogen infection during transportation and ensure the health status of Japanese seabass before transportation.

[0014] In this solution, build a recommended model for anesthetic dosage, use historical live fish transportation instances for model training, import the transfer characteristics of the Japanese seabass into the trained recommended model for anesthetic dosage, and obtain the recommended anesthetic dosage for Japanese seabass transportation, specifically:

[0015] Initialize the recommended model for anesthetic dosage based on the LSTM network, use an improved sparrow algorithm to optimize the number of initial hidden layer nodes and learning rate of the LSTM network, and use the number of initial hidden layer nodes and learning rate as the optimization objectives;

[0016] Initialize the population and algorithm parameters of the sparrow algorithm, initialize the original population, calculate the fitness of sparrow individuals, select the corresponding number of sparrow individuals as discoverers according to the discoverer ratio based on the fitness ranking, and use the remaining sparrows as joiners for position update;

[0017] Randomly select sentinels from sparrow individuals according to the proportion of sentinels, and update their positions. Calculate the fitness of each sparrow individual after the update. Introduce the golden sine algorithm in the position update to guide the sparrow individuals to update to new positions. Repeatedly iterate to update the optimal position of the sparrows, and output the best parameters of the LSTM network;

[0018] Extract transportation characteristics based on the estimated transportation duration, average fish size, number of live fish, and water temperature in historical live fish transportation instances. Match the transportation characteristics with the dosage of anesthetic in the instances to generate data samples, and divide the data samples into a training set and a validation set;

[0019] Configure the anesthetic dosage recommendation model with the best parameters of the LSTM network, and use the training set to train the model. Introduce the validation set to verify the predicted dosage of anesthetic during the iteration process. When the performance criteria are met, output the trained anesthetic dosage recommendation model;

[0020] Import the transportation characteristics of Japanese sea bass to be transported into the trained anesthetic dosage recommendation model, predict and output the recommended dosage of anesthetic for the transportation of Japanese sea bass, and use the recommended dosage of anesthetic to fully anesthetize the Japanese sea bass to be transported, reducing the risk of physical stress and injury.

[0021] In this solution, during the transportation process, collect the water temperature, water quality, and oxygen concentration of the transportation water body, and evaluate the activity of Japanese sea bass. Specifically:

[0022] During the actual transportation process, obtain multi-source transportation water body environment data of the transportation water body according to temperature indicators, water quality indicators, and oxygen concentration indicators. Characterize the activity through the metabolic rate and oxygen consumption of Japanese sea bass, and calculate the mutual information between different indicators and the mutual information between different indicators and the metabolic rate and oxygen consumption of Japanese sea bass;

[0023] Based on the mutual information, use the mRMR algorithm to obtain the correlation degree of different indicators, normalize the correlation degree to generate the weight information of each indicator, decompose the multi-source transportation water body environment data by wavelet packet, and calculate the dispersion entropy of the reconstructed data of different indicators;

[0024] Use the dispersion entropy as the index parameter of different indicators to characterize the non-stationary and non-linear transportation water body environment change characteristics of the transportation water body. Introduce the fuzzy comprehensive evaluation method and preset the comprehensive evaluation level of the activity of Japanese sea bass;

[0025] Judge the membership degree of the index parameters of different indicators for each comprehensive evaluation level according to the membership function to obtain the membership matrix, and obtain the activity level of Japanese sea bass according to the membership matrix and weight information.

[0026] In this solution, a regulation gradient is generated based on the activity level to dynamically regulate the transportation water environment, specifically as follows:

[0027] Obtain the activity level sequence of the Japanese seabass body during each detection step in the transportation process of Japanese seabass, extract the change period and change direction of the activity level, determine the regulation direction according to the change direction, preset the threshold interval of the activity change period, and set different regulation gradients for different threshold intervals;

[0028] Obtain the threshold interval into which the activity level change period in the current detection step falls to determine the corresponding regulation gradient, which is used as the regulation gradient for the water quality and oxygen concentration of the transportation water body;

[0029] Obtain the influence coefficient of the external temperature on the transportation water body according to the transportation container for Japanese seabass, compensate the regulation gradient through the influence coefficient, and use the compensated regulation gradient as the regulation gradient for the temperature of the transportation water body;

[0030] Based on the regulation gradients of the water quality, oxygen concentration, and temperature of the transportation water body, predict the next activity level change period based on the activity level change period in the current detection step. When the next activity level change period is less than the preset time threshold, perform dynamic regulation of the transportation water environment according to the regulation gradient and regulation direction.

[0031] In this solution, an emergency detection head is set up to use the emergency detection head to obtain the emergencies of the transportation water body in real time. If the current multi-source transportation water environment data conforms to the historical emergency data in the emergency and emergency plan library, an emergency warning is generated;

[0032] Obtain the corresponding emergency plan according to the emergency category, extract the corresponding water environment adjustment equipment in the emergency plan to optimize the water environment, obtain the change sequence of the corresponding water environment parameters of the transportation water body through early warning monitoring within a preset time period, and judge the deviation degree from the preset standard according to the water environment parameter change sequence. When the deviation degree gradually decreases and conforms to the preset standard, cancel the emergency warning; otherwise, generate a higher-level emergency warning.

[0033] In this solution, after the Japanese seabass reaches the transfer destination, count and obtain the mortality rate of the Japanese seabass. When the mortality rate is less than the preset mortality rate threshold, obtain the transfer characteristics of the Japanese seabass in this transfer and the dynamic regulation data stream of the transportation water environment, and store them in the preset database;

[0034] Use the preset database to configure the water environment regulation plan for subsequent Japanese seabass transfer tasks, perform similarity calculation and screening in the preset database according to the transfer characteristics of the Japanese seabass transfer task, and screen the dynamic regulation data streams that meet the similarity standard;

[0035] Collect the deviations of the water temperature, water quality, and oxygen concentration in the transportation water body in the Japanese seabass transfer task and the dynamic adjustment data stream, and adjust the recommended dosage of the anesthetic and the water environment adjustment gradient in the dynamic adjustment data stream according to the deviations to perform the initial configuration of the Japanese seabass transfer task.

[0036] The second aspect of the present invention provides an intelligent transportation environment adjustment system for long-distance Japanese seabass transfer. The system includes a transportation preparation module, a transportation anesthetic dosage recommendation module, a Japanese seabass body activity evaluation module, a transportation water body adjustment module, and an emergency warning module.

[0037] The transportation preparation module obtains the estimated transportation duration, average size of Japanese seabass, number of Japanese seabass, and water temperature of the transportation water body of the Japanese seabass to be transported to construct the Japanese seabass transfer characteristics, and improves the overall health and stress resistance of Japanese seabass during the preparation stage before transportation.

[0038] The transportation anesthetic dosage recommendation module constructs an anesthetic dosage recommendation model, uses historical live fish transportation instances for model training, imports the Japanese seabass transfer characteristics into the trained anesthetic dosage recommendation model, obtains the recommended dosage of anesthetic for Japanese seabass transfer, and anesthetizes the Japanese seabass to be transported.

[0039] The Japanese seabass body activity evaluation module collects the water temperature, water quality, and oxygen concentration of the transportation water body during transportation, and introduces a fuzzy comprehensive evaluation method to evaluate the activity of the Japanese seabass body.

[0040] The transportation water body adjustment module generates an adjustment gradient based on the activity level of the Japanese seabass body to perform dynamic adjustment of the transportation water body environment.

[0041] The emergency warning module sets up an emergency and an emergency plan library. When an emergency is detected, a sudden warning is generated, and a water environment adjustment device is used to ensure the stability of the transportation water body environment.

[0042] Compared with the prior art, the beneficial effects of the present disclosure are as follows:

[0043] The present invention provides a safe transfer technology for Japanese seabass that can effectively reduce the mortality rate and loss rate under long-distance and high-temperature conditions. By optimizing water quality management, improving the oxygen supply system, and introducing intelligent monitoring and control means, dynamic adjustment and fine management can be achieved throughout the transportation process to ensure the health and survival of Japanese seabass during transportation, significantly improve the transportation survival rate, guarantee the fish body quality, optimize the transportation cost and efficiency, thus meeting the market demand for high-quality live Japanese seabass and providing technical support for the efficient operation of the industrial chain. Description of the Drawings

[0044] To more clearly illustrate the technical solutions in the embodiments or exemplifications of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments or exemplifications. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the ones shown in these drawings.

[0045] Figure 1 The flowchart of the intelligent adjustment method for the transportation environment for long-distance transfer of Japanese sea bass is shown;

[0046] Figure 2 The flowchart of constructing an anesthetic dosage recommendation model for anesthetic dosage prediction is shown;

[0047] Figure 3 The flowchart of the dynamic adjustment of the transportation water environment in the embodiment is shown;

[0048] Figure 4 The block diagram of the intelligent adjustment system for the transportation environment for long-distance transfer of Japanese sea bass is shown. Detailed implementation manners

[0049] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0050] Many specific details are set forth in the following description in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0051] Figure 1 The flowchart of the intelligent adjustment method for the transportation environment for long-distance transfer of Japanese sea bass is shown.

[0052] As Figure 1 shown, in the first embodiment of the present invention, an intelligent adjustment method for the transportation environment for long-distance transfer of Japanese sea bass is provided, including:

[0053] S102. Obtain the destination information of the Japanese sea bass transfer, estimate the transportation duration based on the destination information, and construct the Japanese sea bass transfer characteristics according to the estimated transportation duration, the average size of the Japanese sea bass, the number of Japanese sea bass and the water temperature;

[0054] S104. Construct an anesthetic dosage recommendation model, train the model using historical live fish transportation instances, import the Japanese sea bass transfer characteristics into the trained anesthetic dosage recommendation model, and obtain the recommended anesthetic dosage for the Japanese sea bass transfer;

[0055] S106. Anesthetize the sea bass to be transported according to the recommended dosage of the anesthetic. During transportation, collect the temperature, water quality, and oxygen concentration of the transportation water body, evaluate the activity of the sea bass body, and generate an adjustment gradient based on the activity for dynamic adjustment of the transportation water body environment.

[0056] S108. Set up emergency events and an emergency event plan library. Then, when an emergency event is detected, generate an emergency warning and use the water body environment adjustment equipment to ensure the stability of the transportation water body environment.

[0057] It should be noted that in the high-temperature season, the rising water temperature leads to a rapid decline in the dissolved oxygen level in the water body. Sea bass are prone to stress reactions due to hypoxia, which can further cause diseases or directly lead to death. In addition, high temperature may also accelerate the decomposition of organic matter in the water, producing metabolites harmful to the fish body, all of which increase the risk of transportation. Under long-term transportation conditions, traditional oxygen supplementation and temperature control technologies often have difficulty uniformly and effectively maintaining ideal water quality conditions, exacerbating transportation losses. Long-distance transportation often takes several hours or even longer. Insufficient management of water quality and monitoring of fish body health in the transportation container can easily lead to difficulties in timely adjustment once problems occur, resulting in losses. In addition, the bumps and frequent environmental changes during transportation may cause stress reactions in sea bass, affecting their survival rate and meat quality.

[0058] Improve the overall health and stress resistance of sea bass in the preparation stage before transportation to ensure the safety and optimal health status of sea bass during transportation. One week before salinization, carry out "liver-gallbladder-intestine" health care work. Enhance the health of the liver, gallbladder, and intestine of sea bass by adding multi-vitamins, bile acids, and Clostridium butyricum to the sea bass feed. The overall health level of sea bass has been significantly improved in the transportation preparation stage of sea bass, making full preparations for its rapid salinization and going to sea. Retrieve a large number of historical live fish transportation cases. Mark the cases that meet the retrieval criteria by using multi-vitamins, bile acids, and Clostridium butyricum as retrieval keywords in the large number of historical live fish transportation cases. Obtain the average size and quantity information of the sea bass to be transported, conduct a similarity comparison among the marked cases according to the average size and quantity information, screen out the cases with a similarity greater than the preset similarity threshold, determine the addition ratio of multi-vitamins, bile acids, and Clostridium butyricum based on the screened cases, and carry out mixing and feeding based on the addition ratio.

[0059] To prevent and control pests and diseases, a combination of copper sulfate and ferrous sulfate in a ratio of 5:2 is used to disinfect parasites on the groupers to be transported, and sampling tests and targeted prevention and control of viruses and bacteria are carried out to reduce the risk of pathogen infection during transportation. Two to three days before transportation, feeding is stopped to reduce the impact of excrement on water quality, thereby reducing the risk of water quality deterioration during transportation. At the same time, anti-stress drugs such as vitamin C are added daily, and combined with pond bottom quality improvement and water purification measures, aiming to reduce the stress response caused by environmental changes and reduce the mortality rate. Through the above refined management measures, it is ensured that the groupers are in the best health state before transportation.

[0060] Figure 2 The flowchart of constructing an anesthetic dosage recommendation model for anesthetic dosage prediction is shown.

[0061] According to the embodiments of the present invention, an anesthetic dosage recommendation model is constructed, historical live fish transportation instances are used for model training, and the grouper transportation characteristics are imported into the trained anesthetic dosage recommendation model to obtain the recommended anesthetic dosage for grouper transportation, specifically:

[0062] S202, initialize the anesthetic dosage recommendation model based on the LSTM network, use the improved sparrow algorithm to optimize the number of initial hidden layer nodes and the learning rate of the LSTM network, and use the number of initial hidden layer nodes and the learning rate as the optimization objectives;

[0063] S204, initialize the population and algorithm parameters of the sparrow algorithm, initialize the original population, calculate the fitness of sparrow individuals, select the corresponding number of sparrow individuals as discoverers according to the discoverer ratio based on the fitness ranking, and use the remaining sparrows as joiners for position update;

[0064] S206, randomly select guards from sparrow individuals according to the guard ratio and perform position update, calculate the fitness of each updated sparrow individual, introduce the golden sine algorithm in the position update to guide the sparrow individuals to update to new positions, and output the best parameters of the LSTM network by repeatedly iterating to update the optimal position of the sparrows;

[0065] S208, extract transportation characteristics according to the estimated transportation duration, average fish size, number of live fish, and water temperature in historical live fish transportation instances, match the transportation characteristics with the anesthetic dosage in the instances to generate data samples, and divide the data samples into a training set and a validation set;

[0066] S210, configure the anesthetic dosage recommendation model with the best parameters of the LSTM network, use the training set for model training, introduce the validation set to verify the predicted anesthetic dosage during the iteration process, and output the trained anesthetic dosage recommendation model when the performance standard is met;

[0067] S212. Import the transfer characteristics of the sea bass to be transported into the trained anesthetic dosage recommendation model, predict and output the recommended anesthetic dosage for the transfer of sea bass, and use the recommended anesthetic dosage to fully anesthetize the sea bass to be transported, reducing the risks of physical stress and injury.

[0068] It should be noted that the LSTM network is specifically used to process and predict sequence data with long-term dependence relationships. In the LSTM network, each LSTM cell contains three gating structures: the forget gate, the input gate, and the output gate, which determine whether to transmit, discard, or update information through the learned weights and activation functions. The sparrow algorithm is used to search and optimize the optimal solution of the LSTM network parameters. The sparrow algorithm simulates the strategies of sparrows in foraging and anti-predation behaviors, and has global search capabilities and good stability and convergence accuracy. The sparrow algorithm simulates the behavioral strategies of sparrows in the process of finding food and avoiding predators, including two parts: the foraging stage and the anti-predation stage. In the foraging stage, sparrows discover potential food sources by observing the surrounding environment and communicating information with other sparrows, and select appropriate paths for exploration. Each sparrow updates its position to search for the optimal solution according to its individual position and speed. In the anti-predation stage, when sparrows encounter the threat of predators, they need to protect themselves through rapid escape strategies. Sparrows update their own positions according to their current positions and speeds to avoid predators and avoid falling into local optimal solutions. The golden sine algorithm is introduced into the sparrow algorithm to improve the global search ability and guide the update of the positions of sparrow individuals. The position update calculation process is as follows:

[0069] ,

[0070] where , represents the position of the th sparrow individual in the th and th iterations on the nd dimension, , represent random numbers that determine the moving distance and direction of the sparrow individual, represents the global optimal position in the th iteration, , represent the position update parameters combined with the golden section coefficient, where the golden section coefficient is taken as . By combining the position update parameters with the golden section coefficient, the search space is reduced, guiding the sparrow individual to move towards the optimal position.

[0071] During the process of catching Japanese seabass from the pond, loading them into the transport water truck, and then transferring and releasing them, complete anesthesia must be carried out to reduce the risk of physical stress and injury. The dosage and time of the anesthetic need to import the transfer characteristics of the Japanese seabass to be transported into the trained anesthetic dosage recommendation model, predict and output the recommended anesthetic dosage for the transfer of Japanese seabass, so as to ensure its safety and comfort during the whole operation process.

[0072] It should be noted that during the actual transportation process, based on the real-time intelligent monitoring system, multi-source transportation water body environment data of the transportation water body are obtained according to temperature indicators, water quality indicators and oxygen concentration indicators. The monitoring system collects data in real time through the sensor network and combines with the automatic water quality regulation equipment to realize the real-time monitoring and adjustment of key indicators such as water temperature, dissolved oxygen, pH value and ammonia nitrogen in the water body. The activity is characterized by the metabolic rate and oxygen consumption of the Japanese seabass body, and the mutual information between different indicators and the mutual information between different indicators and the metabolic rate and oxygen consumption of the Japanese seabass body are calculated; based on the mutual information, the relevance of different indicators is obtained by using the mRMR algorithm, and the relevance is normalized to generate the weight information of each indicator. The multi-source transportation water body environment data are decomposed by wavelet packet, and the dispersion entropy of the reconstructed data of different indicators is calculated; wavelet packet is suitable for processing non-stationary signals, and dispersion entropy can better extract non-linear features. By combining the two, the dispersion entropy of the multi-source transportation water body environment data is calculated, and the dispersion entropy is used as the index parameter of different indicators to characterize the non-stationary and non-linear transportation water body environment change characteristics of the transportation water body. The fuzzy comprehensive evaluation method is introduced, and the comprehensive evaluation grade of the activity of the Japanese seabass body is preset; according to the membership function, the membership degree of the index parameters of different indicators to each comprehensive evaluation grade is judged to obtain the membership degree matrix. Commonly used membership functions include trapezoidal function, triangular function, etc. The membership degree between the index layer and the target layer is calculated through the membership degree and weight of its lower layer indicators. For the activity level of the Japanese seabass body: low activity, medium-low activity, medium activity, medium-high activity, high activity, the membership degrees correspond to 60, 70, 80, 90, 100 respectively. Calculate the membership degree of the evaluation index to the evaluation grade, and obtain the activity level of the Japanese seabass body according to the membership degree matrix and weight information.

[0073] Figure 3 The flowchart of dynamically adjusting the transportation water body environment in the embodiment is shown.

[0074] According to the embodiment of the present invention, based on the activity level, a regulation gradient is generated for dynamically adjusting the transportation water body environment, specifically:

[0075] S302, obtain the activity level sequence of the Japanese seabass body at each detection step during the transportation of Japanese seabass, extract the change period and change direction of the activity level, determine the regulation direction according to the change direction, preset the threshold interval of the activity change period, and set different regulation gradients for different threshold intervals;

[0076] S304. Obtain the threshold interval in which the activity level change period in the current detection step falls, and determine the corresponding adjustment gradient as the adjustment gradient for the water quality and oxygen concentration of the transported water body.

[0077] S306. Obtain the influence coefficient of the external temperature on the transported water body according to the transport container for Japanese seabass transportation, and compensate the adjustment gradient through the influence coefficient, and use the compensated adjustment gradient as the adjustment gradient for the temperature of the transported water body.

[0078] S308. Predict the next activity level change period based on the adjustment gradients of the water quality, oxygen concentration, and temperature of the transported water body during the activity level change period in the current detection step. When the next activity level change period is less than the preset time threshold, perform dynamic adjustment of the transported water body environment according to the adjustment gradient and adjustment direction.

[0079] It should be noted that for the preset activity change period threshold interval, different adjustment gradients are set for different indicators in different threshold intervals, that is, the temperature indicator, water quality indicator, and oxygen concentration indicator all correspond to different adjustment gradients. During the actual transportation process, in order to reduce the stress loss of Japanese seabass caused by temperature changes, a gradient cooling method is adopted. Preferably, the temperature is reduced by about 2 degrees per hour to maintain the transported water temperature at a low level, thereby reducing the metabolic rate and oxygen consumption of the fish body and reducing transportation losses. After arriving at the destination, obtain the temperature difference between the transported water body and the water body to be stocked, and gradually increase the temperature of the water body to be stocked in a gradient manner based on the temperature difference, so that the Japanese seabass can gradually adapt to the new water temperature conditions and reduce the stress response caused by the temperature difference.

[0080] To further improve the transportation safety and efficiency, according to the possible emergencies that may occur during transportation, set up emergency detection heads, and use the emergency detection heads to obtain the emergencies of the transported water body in real time. If the current multi-source transported water body environment data conforms to the historical emergency data in the emergency and emergency plan library, generate an emergency warning; obtain the corresponding emergency plan according to the emergency category, and extract the corresponding water body environment adjustment equipment in the emergency plan to optimize the water body environment. For example, for possible oxygen deficiency, equip spare oxygen cylinders and oxygenation equipment; for unexpected temperature changes, prepare adjustable portable cooling or heating devices. Conduct warning monitoring within a preset time period to obtain the change sequence of the water body environment parameters corresponding to the transported water body, and judge the deviation degree from the preset standard according to the change sequence of the water body environment parameters. When the deviation degree gradually decreases and conforms to the preset standard, cancel the emergency warning, otherwise, generate a higher-level emergency warning. In addition, transportation personnel need to receive professional training and master the biological characteristics of Japanese seabass and the measures for dealing with stress reactions proficiently to ensure that they can respond promptly and accurately when an emergency warning occurs.

[0081] After the Japanese seabass reaches the transfer destination, the mortality rate of the Japanese seabass is statistically obtained. When the mortality rate is less than the preset mortality rate threshold, the transfer characteristics of the Japanese seabass and the dynamic adjustment data stream of the transportation water environment for this Japanese seabass transfer are obtained and stored in the preset database; the water environment adjustment plan for the subsequent Japanese seabass transfer task is configured using the preset database, and similarity calculation is performed in the preset database according to the transfer characteristics of the Japanese seabass transfer task for screening, and the dynamic adjustment data stream that meets the similarity standard is screened; the deviations of the transportation water temperature, water quality, and oxygen concentration between the Japanese seabass transfer task and the dynamic adjustment data stream are collected, and the recommended dosage of the anesthetic and the water environment adjustment gradient in the dynamic adjustment data stream are adjusted according to the deviations to perform the initial configuration of the Japanese seabass transfer task.

[0082] Through a series of optimization measures, not only the transportation survival rate of the Japanese seabass is improved, but also the efficiency and safety of long-distance Japanese seabass transportation are significantly enhanced, providing a solid foundation for its subsequent growth and adaptation. The application of the present invention not only provides a scientific basis for aquaculture enterprises to reduce transportation costs and losses, but also provides strong support for the sustainable development of the aquaculture industry. By getting along in harmony with the environment, it ensures the healthy growth of the Japanese seabass and the stability of the market supply, thus further promoting the high-quality development of the aquaculture industry.

[0083] Figure 4 The block diagram of the intelligent transportation environment adjustment system for long-distance Japanese seabass transfer of the present invention is shown.

[0084] In the second embodiment of the present invention, an intelligent transportation environment adjustment system 4 for long-distance Japanese seabass transfer is provided. The system includes a transportation preparation module 401, a transportation anesthetic dosage recommendation module 402, a Japanese seabass body activity evaluation module 403, a transportation water body adjustment module 404, and an emergency warning module 405;

[0085] The transportation preparation module obtains the estimated transportation duration, average size of the Japanese seabass, number of Japanese seabass, and water temperature of the transportation water body to construct the transfer characteristics of the Japanese seabass, and improves the overall health and stress resistance of the Japanese seabass during the preparation stage before the Japanese seabass transportation;

[0086] The transportation anesthetic dosage recommendation module constructs an anesthetic dosage recommendation model, uses historical live fish transportation instances for model training, imports the transfer characteristics of the Japanese seabass into the trained anesthetic dosage recommendation model, obtains the recommended dosage of the anesthetic for the Japanese seabass transfer, and anesthetizes the Japanese seabass to be transported;

[0087] The Japanese seabass body activity evaluation module collects the transportation water temperature, water quality, and oxygen concentration during the transportation process, and introduces a fuzzy comprehensive evaluation method to evaluate the activity of the Japanese seabass body;

[0088] The transportation water body regulation module generates a regulation gradient based on the activity level of the Japanese seabass body to dynamically regulate the transportation water body environment;

[0089] The emergency warning module sets up emergencies and an emergency plan library. When an emergency is detected, it generates an emergency warning and uses the water body environment adjustment equipment to ensure the stability of the transportation water body environment.

[0090] In several embodiments provided by the present application, it should be understood that the disclosed method can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed with each other can be through some interfaces. The indirect coupling or communication connection of the devices or modules can be electrical, mechanical, or other forms. In addition, in each embodiment of the present invention, each functional module can be all integrated in a processing module, or each module can be separately used as a module, or two or more modules can be integrated in a module; the above-mentioned integrated modules can be implemented in the form of hardware, or in the form of hardware plus software functional modules.

[0091] If the above-mentioned integrated module of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. The foregoing storage medium includes: various media such as removable storage devices, ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0092] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention.

Claims

1. An intelligent adjustment method for the transportation environment of long-distance Lateolabrax japonicus transportation, characterized in that, It includes the following steps: Obtain the destination information of the Japanese seabass transportation, estimate the transportation duration based on the destination information, and construct the Japanese seabass transportation characteristics according to the estimated transportation duration, the average size of Japanese seabass, the quantity of Japanese seabass, and the water temperature; Construct a recommended dosage model of anesthetic, use historical live fish transportation instances for model training, import the Japanese seabass transportation characteristics into the trained recommended dosage model of anesthetic, and obtain the recommended dosage of anesthetic for Japanese seabass transportation; Anesthetize the Japanese seabass to be transported according to the recommended dosage of anesthetic, collect the water temperature, water quality, and oxygen concentration of the transportation water body during transportation, evaluate the activity of the Japanese seabass body, and generate an adjustment gradient based on the activity for dynamic adjustment of the transportation water body environment; Set up emergencies and an emergency plan library, then generate an emergency warning when an emergency is detected, and use the water body environment adjustment equipment to ensure the stability of the transportation water body environment; Construct a recommended dosage model of anesthetic, use historical live fish transportation instances for model training, import the Japanese seabass transportation characteristics into the trained recommended dosage model of anesthetic, and obtain the recommended dosage of anesthetic for Japanese seabass transportation. Specifically: Initialize the recommended dosage model of anesthetic based on the LSTM network, use the improved sparrow algorithm to optimize the number of initial hidden layer nodes and the learning rate of the LSTM network, and take the number of initial hidden layer nodes and the learning rate as the optimization objectives; Initialize the population and algorithm parameters of the sparrow algorithm, initialize the original population, calculate the fitness of sparrow individuals, select the corresponding number of sparrow individuals as discoverers according to the discoverer ratio based on the fitness ranking, and use the remaining sparrows as joiners for position update; Randomly select guards from sparrow individuals according to the guard ratio and perform position update, calculate the fitness of each updated sparrow individual, introduce the golden sine algorithm in the position update to guide the sparrow individuals to update to new positions, and output the best parameters of the LSTM network by repeatedly iterating to update the optimal position of the sparrows; Extract transportation characteristics from the estimated transportation duration, average fish body size, quantity of live fish, and water temperature in historical live fish transportation instances, match the transportation characteristics with the anesthetic dosage in the instances to generate data samples, and divide the data samples into a training set and a validation set; Configure the recommended dosage model of anesthetic with the best parameters of the LSTM network, use the training set for model training, introduce the validation set to verify the predicted anesthetic dosage during the iteration process, and output the trained recommended dosage model of anesthetic when the performance standard is met; Import the Japanese seabass transportation characteristics of the Japanese seabass to be transported into the trained recommended dosage model of anesthetic, predict and output the recommended dosage of anesthetic for Japanese seabass transportation, and use the recommended dosage of anesthetic to completely anesthetize the Japanese seabass to be transported to reduce the risk of physical stress and injury; Collect the water temperature, water quality, and oxygen concentration of the transportation water body during transportation, and evaluate the activity of the Japanese seabass body. Specifically: During the actual transportation process, multi-source transportation water body environment data of the transportation water body is obtained according to temperature indicators, water quality indicators and oxygen concentration indicators. The activity level is characterized by the metabolic rate and oxygen consumption of the Japanese seabass body, and the mutual information between different indicators and the mutual information between different indicators and the metabolic rate and oxygen consumption of the Japanese seabass body are calculated; Based on the mutual information, the mRMR algorithm is used to obtain the correlation degree of different indicators, the correlation degree is normalized to generate the weight information of each indicator, and the multi-source transportation water body environment data is decomposed by wavelet packet, and the dispersion entropy of the reconstructed data of different indicators is calculated; The dispersion entropy is used as the index parameter of different indicators to characterize the non-stationary and non-linear transportation water body environment change characteristics of the transportation water body. The fuzzy comprehensive evaluation method is introduced, and the comprehensive evaluation grade of the activity level of the Japanese seabass body is preset; According to the membership function, the membership degree of the index parameters of different indicators to each comprehensive evaluation grade is judged to obtain the membership degree matrix, and the activity level grade of the Japanese seabass body is obtained according to the membership degree matrix and the weight information.

2. The intelligent adjustment method for the transportation environment for long-distance transportation of Japanese sea bass according to claim 1, characterized in that, During the preparation stage before Japanese seabass transportation, the overall health and stress resistance of Japanese seabass are improved. Specifically: The health of the liver, gallbladder and intestine of Japanese seabass is enhanced by adding multi-vitamins, bile acids and Clostridium butyricum to the Japanese seabass feed. A large number of historical live fish transportation cases are retrieved, and cases that meet the retrieval criteria are marked with multi-vitamins, bile acids and Clostridium butyricum as retrieval keywords in the large number of historical live fish transportation cases; The average size and quantity information of the Japanese seabass to be transported are obtained, similarity comparison is carried out in the marked cases according to the average size and quantity information, cases greater than the preset similarity threshold are screened, and the addition ratios of multi-vitamins, bile acids and Clostridium butyricum are determined according to the screened cases, and mixing feeding is carried out based on the addition ratios; In addition, the Japanese seabass to be transported is disinfected against parasites, and sampling detection and targeted prevention and control of viruses and bacteria are carried out to reduce the risk of pathogen infection during transportation and ensure the health status of Japanese seabass before transportation.

3. An intelligent adjustment method for the transportation environment for long-distance transportation of Japanese seabass according to claim 1, characterized in that Based on the activity level, a regulation gradient is generated for dynamic regulation of the transportation water body environment. Specifically: The activity level grade sequence of the Japanese seabass body at each detection step during Japanese seabass transportation is obtained, the change period and change direction of the activity level grade are extracted, the regulation direction is determined according to the change direction, a threshold interval of the activity level change period is preset, and different regulation gradients are set for different threshold intervals; The threshold interval in which the activity level change period falls in the current detection step is obtained to determine the corresponding regulation gradient, which is used as the regulation gradient of the water quality and oxygen concentration of the transportation water body; The influence coefficient of the external temperature on the transportation water body is obtained according to the transportation container for Japanese seabass transportation, and the regulation gradient is compensated by the influence coefficient, and the compensated regulation gradient is used as the regulation gradient of the transportation water body temperature; Based on the regulation gradients of the water quality, oxygen concentration and temperature of the transportation water body, the next activity level change period is predicted according to the activity level change period in the current detection step. When the next activity level change period is less than the preset time threshold, the transportation water body environment is dynamically regulated according to the regulation gradient and the regulation direction.

4. An intelligent adjustment method for the transportation environment for long-distance transportation of Japanese sea bass according to claim 1, characterized in that, Set up an emergency detection head to obtain emergencies in the transported water body in real time using the emergency detection head. If the current multi-source transported water body environment data conforms to the historical emergency data in the emergency and emergency plan library, a sudden warning is generated. Obtain the corresponding emergency plan according to the emergency category, extract the corresponding water body environment adjustment equipment in the emergency plan to optimize the water body environment, obtain the change sequence of the corresponding water body environment parameters of the transported water body through early warning monitoring within a preset time period, and judge the deviation degree from the preset standard according to the change sequence of the water body environment parameters. When the deviation degree gradually decreases and conforms to the preset standard, the sudden warning is cancelled; otherwise, a higher-level sudden warning is generated.

5. The intelligent adjustment method for the transportation environment used for long-distance transportation of Japanese seabass according to claim 1, characterized in that, After the Japanese sea bass arrives at the transfer destination, count and obtain the mortality rate of the Japanese sea bass. When the mortality rate is less than the preset mortality threshold, obtain the transfer characteristics of the Japanese sea bass and the dynamic adjustment data stream of the transported water body environment for this transfer of Japanese sea bass, and store them in the preset database. Use the preset database to configure the water body environment adjustment plan for subsequent Japanese sea bass transfer tasks, perform similarity calculation in the preset database according to the transfer characteristics of the Japanese sea bass transfer task for screening, and screen out the dynamic adjustment data stream that meets the similarity standard. Collect the deviations of the water temperature, water quality, and oxygen concentration of the transported water body in the Japanese sea bass transfer task and the dynamic adjustment data stream, and adjust the recommended dosage of the anesthetic and the water body environment adjustment gradient in the dynamic adjustment data stream according to the deviations to perform the initial configuration of the Japanese sea bass transfer task.

6. An intelligent transportation environment adjustment system for long-distance transportation of Japanese seabass, characterized in that, Implement the intelligent transportation environment adjustment method for long-distance Japanese sea bass transfer as described in any one of claims 1-5. The system includes a transportation preparation module, a transportation anesthetic dosage recommendation module, a Japanese sea bass body activity evaluation module, a transported water body adjustment module, and an emergency warning module. The transportation preparation module obtains the estimated transportation duration, average size of the Japanese sea bass, number of Japanese sea bass, and water temperature of the transported water body to construct the transfer characteristics of the Japanese sea bass, and improves the overall health and stress resistance of the Japanese sea bass during the preparation stage before the Japanese sea bass transportation. The transportation anesthetic dosage recommendation module constructs an anesthetic dosage recommendation model, uses historical live fish transportation instances for model training, imports the transfer characteristics of the Japanese sea bass into the trained anesthetic dosage recommendation model, obtains the recommended dosage of the anesthetic for the transfer of the Japanese sea bass, and anesthetizes the Japanese sea bass to be transported. The Japanese sea bass body activity evaluation module collects the water temperature, water quality, and oxygen concentration of the transported water body during transportation, and introduces the fuzzy comprehensive evaluation method to evaluate the activity of the Japanese sea bass body. The transported water body adjustment module generates an adjustment gradient based on the activity level of the Japanese sea bass body to dynamically adjust the transported water body environment. The emergency warning module sets up an emergency and an emergency plan library, then generates a sudden warning when an emergency is detected, and uses the water body environment adjustment equipment to ensure the stability of the transported water body environment.

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