A transportation method, system and electronic device for a live aquatic product transport vehicle

Abstract

A transportation method, system and electronic device for a fresh aquatic product transport vehicle, which relates to the field of aquatic product preservation. The method is applied to an on-vehicle control system, and the method includes: obtaining the current driving data and in-vehicle environment data of the aquatic product transport vehicle, where the driving data includes driving speed, driving time, and the current location; determining the driving state of the aquatic product transport vehicle according to the driving data; determining the preservation mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; controlling the operating states of various preservation devices in the cold chain transport box according to the preservation mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination. Implementing the technical solution provided by this application solves the problem that the quality of aquatic products is affected by the poor transportation environment during the transportation process of the aquatic product transport vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of aquatic product preservation, and particularly relates to a transportation method, system and electronic device for a live aquatic product transport vehicle. Background Art

[0002] The nutritional elements rich in aquatic products make them an important part of people's daily diet. And the freshness of aquatic products directly affects their nutritional value. Therefore, the preservation during the transportation of aquatic products is very important.

[0003] Currently, the preservation of live aquatic products mainly adopts cold chain transportation technology. By controlling the temperature, oxygen and humidity within the suitable range for aquatic products, the stress response and quality loss of aquatic products are reduced, ensuring that the aquatic products remain fresh and lively during transportation. However, if the cold chain transport vehicle is in a poor transportation environment during transportation, although the cold chain transportation technology can maintain the freshness of aquatic products to a certain extent, the environment inside the carriage is affected by the external environment, which will directly or indirectly cause the environment inside the carriage to fail to maintain a stable state, thereby reducing the quality of aquatic products. Summary of the Invention

[0004] Aiming at the problem that the quality of aquatic products is affected by the poor transportation environment during the transportation of aquatic product transport vehicles, the present application provides a transportation method, system and electronic device for a live aquatic product transport vehicle.

[0005] In a first aspect, the present application provides a transportation method for a live aquatic product transport vehicle, which is applied to an on-vehicle control system. The method includes:

[0006] Obtain the current driving data and in-vehicle environment data of the aquatic product transport vehicle. The driving data includes driving speed, driving time, and the current location.

[0007] Determine the driving state of the aquatic product transport vehicle according to the driving data.

[0008] Determine the preservation mode of the aquatic product transport vehicle according to the driving state and in-vehicle environment data of the aquatic product transport vehicle.

[0009] Control the operating states of various preservation devices in the cold chain transport box according to the preservation mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination.

[0010] In one embodiment, obtain environment data, where the environment data includes weather data, vehicle condition, and road condition.

[0011] Generate an out - of - vehicle environment change curve according to the environmental data and the driving state, where the out - of - vehicle environment change curve includes change curves corresponding to multiple types of out - of - vehicle environmental data;

[0012] Input the out - of - vehicle environment change curve and the in - vehicle environment data into an environment change prediction model to obtain an in - vehicle environment change curve, where the in - vehicle environment change curve includes change curves corresponding to multiple types of in - vehicle environmental data;

[0013] Perform outlier analysis on the in - vehicle environment change curve to obtain a target adjustment parameter;

[0014] Match the target adjustment parameter with a preservation equipment adjustment database to obtain adjustment methods for multiple preservation equipments corresponding to the target adjustment parameter;

[0015] Set the adjustment methods for multiple preservation equipments corresponding to the target adjustment parameter as the current preservation mode, so that multiple preservation equipments corresponding to the target adjustment parameter can stabilize the parameter value of the target adjustment parameter within a normal range.

[0016] In one embodiment, the construction method of the preservation equipment adjustment database is specifically as follows:

[0017] Obtain multiple influencing factors of the target adjustment parameter and determine the influence weights of the multiple influencing factors on the target adjustment parameter;

[0018] Based on the influence weights of the multiple influencing factors on the target adjustment parameter, perform data fitting on the parameter value of the target adjustment parameter and the parameter values of the multiple influencing factors to obtain the change curve of the target adjustment parameter and the adjustment curves of the preservation equipments corresponding to the multiple influencing factors;

[0019] Construct a corresponding relationship between the change curve of the target adjustment parameter and the adjustment curves of the preservation equipments corresponding to the multiple influencing factors and store it in the preservation equipment adjustment database.

[0020] In one embodiment, obtain the remaining transportation distance according to the current location and the destination location of the aquatic product transport vehicle;

[0021] Calculate the energy consumption of the remaining transportation distance, where the energy consumption is the energy consumed when the aquatic product transport vehicle turns on the preservation mode;

[0022] Judge whether the energy consumption is greater than or equal to the energy reserve;

[0023] If the energy consumption is greater than or equal to the energy reserve, turn on the energy - saving mode.

[0024] In one embodiment, the multiple preservation devices include multiple life support devices, and the multiple life support devices are composed of an oxygen supply device, a water circulation device, and a refrigeration device. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on. Specifically:

[0025] According to the preset survival rate and the survival rate-power calculation formula, a survival rate change curve is generated. Each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the powers of the multiple life support devices;

[0026] Calculate and compare with each other the one or more power consumption values of each coordinate point in the survival rate change curve to obtain multiple low power consumption values, and the multiple low power consumption values are all less than or equal to the energy reserve;

[0027] Select the low power consumption value with the highest survival rate among the multiple low power consumption values as the optimal power consumption value;

[0028] Adjust the power values of the multiple life support devices to the power values of the multiple life support devices corresponding to the optimal power consumption value.

[0029] In one embodiment, the survival rate-power calculation formula is specifically:

[0030]

[0031] Where S is the survival rate, a, b, and c are the weight indexes of the refrigeration device, the water circulation device, and the oxygen supply device respectively, and c > b > a, 、 、 Are the influence coefficients of the refrigeration device power, the water circulation device power, and the oxygen supply device power on the survival rate respectively, Is the default power value of the refrigeration device, Is the current power value of the refrigeration device, Is the default power value of the water circulation device, Is the current power value of the water circulation device, Is the default power value of the oxygen supply device, Is the current power value of the oxygen supply device.

[0032] In one embodiment, the multiple preservation devices further include detection devices. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on. Specifically, it further includes:

[0033] Divide the multiple detection devices into a high power consumption device group and a low power consumption device group;

[0034] Set the turn-on time of the high-power consumption device and the turn-on time of the low-power consumption device group, where the turn-on time of the high-power consumption device is less than the turn-on time of the low-power consumption device group;

[0035] Based on the turn-on time of the high-power consumption device and the turn-on time of the low-power consumption device group, alternately turn on the high-power consumption device group and the low-power consumption device group.

[0036] In a second aspect, the present application provides a transportation system for a live aquatic product transport vehicle. The system is a vehicle-mounted control system, and the vehicle-mounted control system includes an information acquisition module, an information processing module, and a device control module, where:

[0037] The information acquisition module is used to acquire the current driving data and in-vehicle environment data of the aquatic product transport vehicle. The driving data includes driving speed, driving time, and the current location;

[0038] The information processing module is used to determine the driving state of the aquatic product transport vehicle according to the driving data; and determine the preservation mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data;

[0039] The device control module is used to control the operating states of various preservation devices in the cold chain transport box according to the preservation mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination.

[0040] In a third aspect, the present application provides an electronic device, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes the method described in any one of the first aspects.

[0041] In a fourth aspect, the present application provides a computer-readable storage medium. The computer-readable storage medium stores instructions, and when the instructions are executed, the method described in any one of the first aspects is executed.

[0042] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0043] 1. When transporting fresh aquatic products by aquatic product transport vehicle, it is very easy to encounter poor transportation conditions, such as hot weather, bumpy roads, complex routes, traffic jams, etc. Under these conditions, the environmental data in the aquatic product transport vehicle will be affected to a certain extent, thus affecting the final quality of the aquatic products. At this time, the driving state of the aquatic product transport vehicle is determined by the current driving data of the aquatic product transport vehicle, that is, whether it is in a poor transportation environment. If it is in a poor transportation environment, the operating state of various fresh-keeping equipment in the car is adjusted according to the current transportation state of the aquatic product transport vehicle and the environmental data in the car, so as to maintain the stability of the car environment as much as possible, thereby ensuring that the quality of the aquatic products after being transported to the destination meets the requirements.

[0044] 2. The environmental data in the aquatic product transport vehicle include temperature, humidity, oxygen content and other types. Various types of environmental data can affect each other. Therefore, when adjusting the in-vehicle environmental data, an indirect adjustment method can be used, that is, adjusting the target adjustment parameters by adjusting other parameters. At this time, the target adjustment parameters are fitted according to the influence weights of multiple influencing factors of the target adjustment parameters to obtain the adjustment parameters of each preservation equipment. Finally, the statistical fitting results are statistically analyzed and the corresponding relationship between the change curve of the target adjustment parameters and the adjustment curve of the preservation equipment corresponding to multiple influencing factors is constructed. This corresponding relationship is stored in the preservation equipment adjustment database to facilitate the subsequent indirect adjustment of the environmental parameters inside the car. Compared with directly adjusting the target adjustment parameters, this indirect adjustment method is more stable and will not fluctuate greatly, so that aquatic products can adapt to the changes in such environmental data.

[0045] 3. When the energy consumption of aquatic product transport vehicles is high, the energy-saving mode will be turned on, but the energy-saving mode may cause the survival rate of aquatic products to decrease. Therefore, this application uses the survival rate-power calculation formula, with the preset survival rate as the bottom limit, to generate a survival rate change curve. One or more power combinations are stored in the survival rate change curve. Each power combination contains the power of multiple life-sustaining equipment. At this time, according to the current energy reserves, the power value combination of the fresh-keeping equipment with the highest survival rate and the lowest power consumption is selected to maximize the survival rate of aquatic products. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a flow chart of a fresh aquatic product transport method provided by an embodiment of the present application.

[0047] Figure 2 It is a structural schematic diagram of a fresh aquatic product transport vehicle transportation system provided in an embodiment of the present application.

[0048] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0049] Explanation of the accompanying drawings: 1. Information acquisition system; 2. Information processing system; 3. Device control system; 300. Electronic device; 301. Processor; 302. Communication bus; 303. User interface; 304. Network interface; 305. Memory. DETAILED DESCRIPTION

[0050] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0051] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0052] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0053] Since aquatic products are rich in nutrients, they are often regarded as important food ingredients for restoring the body, repairing injuries, and strengthening the body in people's daily lives. However, the quality of aquatic products also loses very quickly. Compared with fresh aquatic products, dead aquatic products will release a large number of corruption factors, such as ammonia, hydrogen sulfide, and fatty acids. Generally speaking, newly dead aquatic products can only maintain freshness for up to 12 hours, so the preservation of aquatic products is particularly important. However, most of the supply of aquatic products comes from coastal areas and river basins. If you want to transport aquatic products to all parts of the country and maintain their freshness, aquatic product transport vehicles with cold chain systems have come into being.

[0054] At present, the cold chain system built in the aquatic product transport vehicle reduces the stress response and quality loss of aquatic products by controlling temperature, oxygen, humidity, etc. within the suitable living environment of aquatic products, ensuring that the aquatic products remain fresh and lively during transportation. However, if the cold chain transport vehicle is in a poor transportation environment during transportation, although the cold chain transport technology can maintain the freshness of aquatic products to a certain extent, the environment inside the carriage is affected by the external environment, which will directly or indirectly cause the environment inside the carriage to fail to maintain a stable state, thus reducing the quality of aquatic products.

[0055] Before introducing the embodiments of the present application, it should be noted that the present application is applied to the application scenario of transporting live aquatic products, and does not consider edible aquatic plants and fish that have just been caught and frozen.

[0056] To solve the above technical problems, the present application provides a transportation method for a live aquatic product transport vehicle, referring to Figure 1 , Figure 1 is a schematic flow chart of a transportation method for a live aquatic product transport vehicle disclosed in an embodiment of the present application. This method is applied to an on-vehicle control system and includes steps S101 to S104. The above steps are as follows:

[0057] S101. Obtain the current driving data and in-vehicle environment data of the aquatic product transport vehicle. The driving data includes driving speed, driving time, and the current location.

[0058] In the above step, before transporting aquatic products, the aquatic product transport vehicle needs to plan the transport route and transport time in advance. The selected transport route should ensure that the road conditions are good, and the traffic jam rate and accident incidence rate are lower than their respective preset values. In addition, during the transportation of the aquatic product transport vehicle, the on-vehicle control system can accurately estimate the arrival time by obtaining the current driving data of the aquatic product transport vehicle and displaying the driving data on the central control screen to prepare for possible emergencies in the future, and can also always remind the transport driver of his position during the transportation, avoiding the transport driver from temporarily changing the transport route due to unfamiliarity with the route, reducing the probability of encountering emergencies, and the transport driver can also view the energy storage of the cold chain system in real time, which can also provide a reference for the driving speed of the driver in the future, so as to ensure less quality loss of aquatic products after being transported to the destination.

[0059] S102. Determine the driving state of the aquatic product transport vehicle according to the driving data.

[0060] In the above steps, the driving data includes driving speed, driving time, and the current location. Therefore, the driving state of the aquatic product transport vehicle can be accurately obtained based on these three indicators. The driving states include traffic jam state, bumpy driving state, and complex route driving state, etc. Among them, the traffic jam state is determined by the vehicle driving speed of the aquatic product transport vehicle, and the bumpy driving state is determined by the driving speed and driving time. It can be understood that during the bumpy driving state, the speed and time of the aquatic product transport vehicle have the characteristics of short-term and continuous volatility, which can accurately distinguish the normal driving state. The complex route driving state is determined by the current location and the driving speed. For example, if the current location is in a mountainous section and the driving speed is slow, it can be determined that the aquatic product transport vehicle is in a complex route driving state.

[0061] S103. Determine the freshness preservation mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data.

[0062] In the above steps, the influence of the aquatic product transport vehicle in different driving states on the in-vehicle environment is different. This influence includes direct influence and indirect influence. Among them, for the direct influence, for example, when the external environment is a high-temperature weather, if the aquatic product transport vehicle is in a normal driving state, the temperature inside the carriage will not be greatly affected. However, if the aquatic product transport vehicle is in a traffic jam state, the aquatic product transport vehicle may be in the sun exposure state for a long time, resulting in exceeding the adjustment limit of the temperature adjustment device, and then causing the temperature inside the carriage to change. The indirect influence can be understood as when the aquatic product transport vehicle is in a bumpy driving state or a complex route driving state, the external environment will cause the vehicle to shake or slightly roll, resulting in the impact on the freshness preservation equipment inside the carriage and unable to play a good effect, and then affecting the change of the in-vehicle environment. Based on this, this application proposes to predict and analyze the change of the in-vehicle environment of the aquatic product transport vehicle under the influence of the vehicle driving state and the external environment data, obtain the abnormal environment parameters that are about to get out of balance, and then combine the influence relationship between various in-vehicle environment data to adopt a multi-device collaborative adjustment method to stabilize the abnormal environment parameters within the normal range. At this time, not only the adjustment pressure of a single device is reduced, making the in-vehicle environment in a stable state; but also the adjustment process is in a gentle state, not causing stress response of the aquatic products, thus ensuring the quality of the aquatic products to be qualified. The specific process is as follows:

[0063] First, obtain environmental data, which includes but is not limited to weather data, vehicle condition, road condition, altitude, etc.; then, based on the environmental data and the current driving state, predict the possible changes in the external vehicle environment and generate an external vehicle environment change curve. The prediction method can use existing environmental change prediction models for prediction, which is a conventional technical means for those skilled in the art and will not be elaborated further; the generated external vehicle environment change curve contains multiple different types of change curves. For example, it can include a temperature change curve and a vehicle speed change curve. Then, input the external vehicle environment change curve and the internal vehicle environment data into the environmental change prediction model to predict the changes in the internal vehicle environment data under the influence of the external vehicle environment and generate an internal vehicle environment change curve. The internal vehicle environment change curve contains change curves corresponding to multiple adjustable parameters. For example, it can include a temperature change curve, an oxygen content change curve, a humidity change curve, a light change curve, and a water quality change curve. At this time, perform an outlier analysis on the internal vehicle environment change curve. When the adjustable parameter shows a large fluctuation or exceeds the normal range after a period of time, the adjustable parameter can be determined as the target adjustment parameter.

[0064] When adjusting the target adjustment parameter, it is necessary to first match the target adjustment parameter with the preservation equipment adjustment database to obtain various adjustment methods of the preservation equipment corresponding to the target adjustment parameter. Among them, the preservation equipment adjustment database stores the corresponding relationship between the change curve of the adjustment parameter and the adjustment curves of multiple preservation equipment corresponding to multiple influencing factors. The construction method of the preservation equipment adjustment database is specifically as follows: First, use the analytic hierarchy process to analyze the influence weights of multiple influencing factors that affect the target adjustment parameter. Then, use the target adjustment parameter as the output, and the parameter values and influence weights of multiple influencing factors as the input for data fitting. Perform statistical analysis on the data fitting results to generate the change curve of the target adjustment parameter and the adjustment curves of multiple preservation equipment corresponding to multiple influencing factors. It should be explained that the parameter value of a coordinate point in the change curve of the target adjustment parameter corresponds to the parameter values of multiple preservation equipment. For example, when the target adjustment parameter is temperature, any coordinate point in the temperature change curve can find a corresponding adjustment point on the change curves of multiple preservation equipment. It should be noted that the data fitting method used in the above solution is to conduct multiple experiments and practices in the laboratory and real scenarios to represent the possible changes in the target adjustment parameter under the joint influence of multiple influencing factors. Finally, construct the corresponding relationship between the change curve of the target adjustment parameter and the adjustment curves of multiple preservation equipment corresponding to multiple influencing factors and store it in the preservation equipment adjustment database. Finally, set the various adjustment methods of the preservation equipment corresponding to the target adjustment parameter as the current preservation mode, so that the various preservation equipment corresponding to the target adjustment parameter can stabilize the parameter value of the target adjustment parameter within the normal range.

[0065] S104. Control the operating states of multiple preservation devices in the cold chain transport box according to the preservation mode, so that the survival rate of aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination.

[0066] In the above steps, since the energy consumption will increase after the preservation mode is turned on, the total energy consumption during transportation may exceed the expected total energy consumption, which may cause the preservation devices to stop operating and affect the quality of aquatic products. Therefore, it is necessary to adjust the power values of multiple preservation devices in the preservation mode. Specifically: First, calculate the remaining transport distance based on the current location of the aquatic product transport vehicle and the destination location, and then calculate the energy consumption of the remaining transport distance. The energy consumption is the energy consumed when the aquatic product transport vehicle turns on the current preservation mode. If the energy consumption of the aquatic product transport vehicle is greater than or equal to the energy reserve, turn on the energy-saving mode.

[0067] In a possible implementation, when the energy-saving mode is turned on, the reduced energy consumption will cause changes in the survival rate of aquatic products. If the energy consumption is reduced too much, the survival rate may be low; if the energy consumption is reduced too little, it may lead to waste of resources. Even if the same amount of energy consumption is reduced, the survival rate will be inconsistent due to the different efficiencies of the preservation devices. Therefore, in order to ensure a relatively high survival rate as much as possible and select the lowest power consumption value, it is necessary to optimize and adjust the power values of multiple preservation devices. The multiple preservation devices include multiple life support devices, and the multiple life support devices are composed of an oxygen supply device, a water circulation device, and a refrigeration device. In this application, according to the preset survival rate and the survival rate-power calculation formula, a survival rate change curve is generated. It can be understood that the survival rates corresponding to all coordinate points in the survival rate change curve are greater than or equal to the preset survival rate. Each coordinate point in the survival rate change curve stores one or more power combinations, and a power combination includes the power values of multiple life support devices. Among them, the survival rate-power calculation formula is specifically:

[0068]

[0069] where S is the survival rate, a, b, and c are the weight indexes of the refrigeration device, the water circulation device, and the oxygen supply device respectively, and c > b > a. 、 、 are the influence coefficients of the refrigeration device power, the water circulation device power, and the oxygen supply device power on the survival rate respectively. is the default power value of the refrigeration device. is the current power value of the refrigeration device. is the default power value of the water circulation device. is the current power value of the water circulation device. is the default power value of the oxygen supply device. is the current power value of the oxygen supply device.

[0070] In the above formula, by continuously adjusting the current power value of the refrigeration equipment, the current power value of the water circulation equipment, and the current power value of the oxygen supply equipment, the survival rate change curve under different power value combinations is obtained, so as to clarify the upper limit of the survival rate and the lower limit of the power consumption value under the influence of the current respective factors, and thus obtain the optimal power combination. Further explanation is as follows: First, the default power value of the life support equipment can be understood as the ideal power value with a 100% survival rate. Second, aquatic products are relatively sensitive to environmental factors. After the power of the life support equipment changes, it will cause changes in environmental parameters, and the slight changes in oxygen content, water quality, and temperature will have a greater impact on the survival rate of aquatic products. Therefore, it is more in line with the actual situation to adopt an exponential model in the above formula. In addition, the influence of environmental factors on aquatic products is a non-linear influence. Therefore, the form of a quadratic function is used for the change of power to simulate this non-linear change relationship, so as to more accurately express the non-linear influence of environmental factors on aquatic products; among various environmental factors, oxygen content is more important than water quality and temperature, and water quality is more important than temperature. Therefore, weight influence factors a, b, and c are respectively set, where c > b > a. When debugging the current power values of the three life support equipment, under the influence of the weight factor, the priority of the three environmental factors is ensured. Finally, for the power maintained by each life support equipment, a sensitivity coefficient is set to quantify the sensitivity of different factors to the survival rate. By adjusting these coefficients, the above calculation formula can more accurately reflect the actual response of aquatic products to these factors.

[0071] In summary, to find the power combination with the lowest power consumption value and the highest survival rate, calculate and compare one or more power consumption values of each coordinate point in the survival rate change curve to obtain multiple low power consumption values, and all the multiple low power consumption values are less than or equal to the energy reserve; then compare the survival rates corresponding to the multiple low power consumption values, select the low power consumption value with the highest survival rate as the optimal power consumption value. Finally, adjust the power values of various life support equipment to the power values of various life support equipment corresponding to the optimal power consumption value, so as to achieve the maximum energy saving while maintaining the highest survival rate.

[0072] In a possible implementation, a variety of preservation devices further include a variety of detection devices, which include both high-power detection devices and low-power detection devices. Normally, the detection accuracy of high-power devices is high, while that of low-power detection devices is low. If a high-precision detection device is kept on for a long time, more heat and mechanical losses will be generated during operation, accelerating the aging and damage of the device and thus affecting the detection accuracy. Based on this, the various detection devices can be turned on alternately, specifically: dividing the various detection devices into a high-power consumption device group and a low-power consumption device group. The high-power consumption device group can be understood as an actuator or a data processing device, and the low-power consumption device group can be understood as an information measurement device such as a sensor. Then, set the on time of the high-power consumption device group and the on time of the low-power consumption device group. Among them, the on time of the high-power consumption device group should be less than that of the low-power consumption device group. In addition, the optimal time ratio of the on time of the high-power consumption device group to the on time of the low-power consumption device group can be 1:10. The specific on times of the two groups are determined according to the actual situation and are not limited in this application. Finally, according to the on time of the high-power consumption devices and the on time of the low-power consumption device group, the high-power consumption device group and the low-power consumption device group are turned on alternately.

[0073] Referring to Figure 2 , this application also provides a transportation system for a live aquatic product transport vehicle. The system is an in-vehicle control system, and the in-vehicle control system includes an information acquisition module 1, an information processing module 2, and a device control module 3, where:

[0074] The information acquisition module 1 is used to acquire the current driving data and in-vehicle environment data of the aquatic product transport vehicle. The driving data includes driving speed, driving time, and the current location.

[0075] The information processing module 2 is used to determine the driving state of the aquatic product transport vehicle according to the driving data; and determine the preservation mode of the aquatic product transport vehicle according to the driving state and the in-vehicle environment data of the aquatic product transport vehicle.

[0076] The device control module 3 is used to control the operating states of a variety of preservation devices in the cold chain transport box according to the preservation mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination.

[0077] In a possible implementation, environmental data is acquired, and the environmental data includes weather data, vehicle condition, and road condition.

[0078] According to the environmental data and the driving state, an out-of-vehicle environment change curve is generated. The out-of-vehicle environment change curve includes change curves corresponding to various types of out-of-vehicle environmental data.

[0079] Input the vehicle exterior environment change curve and the vehicle interior environment data into the environment change prediction model to obtain the vehicle interior environment change curve, where the vehicle interior environment change curve includes the change curves corresponding to various types of vehicle interior environment data;

[0080] Conduct outlier analysis on the vehicle interior environment change curve to obtain the target adjustment parameter;

[0081] Match the target adjustment parameter with the preservation equipment adjustment database to obtain the adjustment methods of various preservation equipment corresponding to the target adjustment parameter;

[0082] Set the adjustment methods of various preservation equipment corresponding to the target adjustment parameter as the current preservation mode, so that various preservation equipment corresponding to the target adjustment parameter can stabilize the parameter value of the target adjustment parameter within the normal range.

[0083] In a possible implementation manner, the construction method of the preservation equipment adjustment database is specifically as follows:

[0084] Obtain multiple influencing factors of the target adjustment parameter and determine the influence weights of the multiple influencing factors on the target adjustment parameter;

[0085] Based on the influence weights of the multiple influencing factors on the target adjustment parameter, perform data fitting on the parameter value of the target adjustment parameter and the parameter values of the multiple influencing factors to obtain the change curve of the target adjustment parameter and the adjustment curves of the preservation equipment corresponding to the multiple influencing factors;

[0086] Construct a corresponding relationship between the change curve of the target adjustment parameter and the adjustment curves of the preservation equipment corresponding to the multiple influencing factors and store it in the preservation equipment adjustment database.

[0087] In a possible implementation manner, obtain the remaining transportation distance according to the current location and the destination location of the aquatic product transport vehicle;

[0088] Calculate the energy consumption of the remaining transportation distance, where the energy consumption is the energy consumed when the aquatic product transport vehicle turns on the preservation mode;

[0089] Judge whether the energy consumption is greater than or equal to the energy reserve;

[0090] If the energy consumption is greater than or equal to the energy reserve, turn on the energy-saving mode.

[0091] In a possible implementation manner, the multiple preservation equipment includes multiple life support equipment, and the multiple life support equipment consists of an oxygen supply equipment, a water circulation equipment, and a refrigeration equipment. If the energy consumption is greater than or equal to the energy reserve, turn on the energy-saving mode, specifically as follows:

[0092] Generate a survival rate change curve according to a preset survival rate and a survival rate-power calculation formula. Each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the powers of multiple life support devices.

[0093] Calculate and compare with each other the one or more power consumption values of each coordinate point in the survival rate change curve to obtain multiple low power consumption values, and the multiple low power consumption values are all less than or equal to the energy reserve.

[0094] Select the low power consumption value with the highest survival rate among the multiple low power consumption values as the optimal power consumption value.

[0095] Adjust the power values of the multiple life support devices to the power values of the multiple life support devices corresponding to the optimal power consumption value.

[0096] In a possible implementation manner, the survival rate-power calculation formula is specifically:

[0097]

[0098] where S is the survival rate, a, b, and c are the weight indexes of the refrigeration device, the water circulation device, and the oxygen supply device respectively, and c > b > a. 、 、 are the influence coefficients of the refrigeration device power, the water circulation device power, and the oxygen supply device power on the survival rate respectively. is the default power value of the refrigeration device, is the current power value of the refrigeration device, is the default power value of the water circulation device, is the current power value of the water circulation device, is the default power value of the oxygen supply device, is the current power value of the oxygen supply device.

[0099] In a possible implementation manner, the multiple preservation devices further include detection devices. If the energy consumption is greater than or equal to the energy reserve, an energy-saving mode is enabled, which specifically further includes:

[0100] Divide the multiple detection devices into a high power consumption device group and a low power consumption device group.

[0101] Set the start time of the high power consumption devices and the start time of the low power consumption device group. Among them, the start time of the high power consumption devices is less than the start time of the low power consumption device group.

[0102] Based on the start time of the high power consumption devices and the start time of the low power consumption device group, alternately turn on the high power consumption device group and the low power consumption device group.

[0103] It should be noted that: when the device provided in the above embodiments realizes its functions, only the division of the above functional modules is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments belong to the same concept. For the specific implementation process, please refer to the method embodiments and will not be elaborated here.

[0104] This application also discloses an electronic device. Refer to Figure 3 , Figure 3 FIG. is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0105] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0106] Among them, the user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0107] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0108] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server using various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling the data stored in the memory 305, it performs various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately by a single chip.

[0109] Among them, the memory 305 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. The memory 305 is optionally also at least one storage device located far from the aforementioned processor 301. Refer to Figure 3 , in the memory 305, as a computer storage medium, there may be included an operating system, a network communication module, a user interface module, and an application program for a method of transporting a live aquatic product transport vehicle.

[0110] In Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input and obtain the data input by the user. The processor 301 can be used to call the application program stored in the memory 305 for a transportation method of live aquatic product transport vehicles. When executed by one or more processors 301, the electronic device 300 is caused to execute one or more of the methods as described in the foregoing embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should understand that this application is not limited by the described order of actions, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0111] In the foregoing embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0112] In several implementation manners provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some service interfaces. The indirect couplings or communication connections of the devices or units can be in electrical or other forms.

[0113] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0114] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0115] When an integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 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 steps of the methods in various embodiments of this application. The aforementioned memory includes various media that can store program codes, such as USB flash drives, mobile hard disks, magnetic disks, or optical discs.

[0116] The foregoing are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and the disclosure of the practical truth, those skilled in the art will readily think of other implementation schemes of the present disclosure.

[0117] This application aims to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include well-known common knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A transportation method for a live aquatic product transport vehicle, characterized in that, Applied to a vehicle control system, the method includes: Obtain the current driving data and in-vehicle environment data of the aquatic product transport vehicle, where the driving data includes driving speed, driving time, and current location; Determine the driving state of the aquatic product transport vehicle according to the driving data; Determine the preservation mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data, specifically including: Obtain environmental data, where the environmental data includes weather data, vehicle condition, and road condition; Generate an out-of-vehicle environment change curve according to the environmental data and the driving state, where the out-of-vehicle environment change curve includes change curves corresponding to various types of out-of-vehicle environmental data; Input the out-of-vehicle environment change curve and the in-vehicle environment data into an environment change prediction model to obtain an in-vehicle environment change curve, where the in-vehicle environment change curve includes change curves corresponding to various types of in-vehicle environmental data; Perform outlier analysis on the in-vehicle environment change curve to obtain a target adjustment parameter; Match the target adjustment parameter with a preservation equipment adjustment database to obtain adjustment methods for various preservation equipment corresponding to the target adjustment parameter; The specific construction method of the preservation equipment adjustment database is: Obtain multiple influencing factors of the target adjustment parameter and determine the influence weights of the multiple influencing factors on the target adjustment parameter; Based on the influence weights of the multiple influencing factors on the target adjustment parameter, perform data fitting on the parameter values of the target adjustment parameter and the parameter values of the multiple influencing factors to obtain the change curve of the target adjustment parameter and the adjustment curves of the preservation equipment corresponding to the multiple influencing factors; Construct a corresponding relationship between the change curve of the target adjustment parameter and the adjustment curves of the preservation equipment corresponding to the multiple influencing factors and store it in the preservation equipment adjustment database; Set the adjustment methods for various preservation equipment corresponding to the target adjustment parameter as the current preservation mode, so that the parameter values of various preservation equipment corresponding to the target adjustment parameter are stabilized within a normal range; Control the operating states of various preservation equipment in the cold chain transport box according to the preservation mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle reaches the destination. The various preservation equipment includes various life support equipment, and the various life support equipment consists of an oxygen supply equipment, a water circulation equipment, and a refrigeration equipment, specifically including: Obtain the remaining transport distance according to the current location and the destination location of the aquatic product transport vehicle; Calculate the energy consumption of the remaining transport distance, where the energy consumption is the energy consumed when the aquatic product transport vehicle turns on the preservation mode; Judge whether the energy consumption is greater than or equal to the energy reserve; If the energy consumption is greater than or equal to the energy reserve, turn on the energy-saving mode, specifically: Generate a survival rate change curve according to the preset survival rate and the survival rate-power calculation formula. Each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the powers of multiple life support devices. Calculate and compare with each other the one or more power consumption values of each coordinate point in the survival rate change curve to obtain multiple low power consumption values, and all of the multiple low power consumption values are less than or equal to the energy reserve. Select the low power consumption value with the highest survival rate among the multiple low power consumption values as the optimal power consumption value, specifically: Determine the upper limit of the survival rate and the lower limit of the power consumption value according to the survival rate change curve. Determine the optimal power consumption value from the multiple low power consumption values according to the upper limit of the survival rate and the lower limit of the power consumption value. Adjust the power values of multiple life support devices to the power values of multiple life support devices corresponding to the optimal power consumption value.

2. The method according to claim 1, wherein The survival rate-power calculation formula is specifically: Among them, S is the survival rate, a, b, and c are the weight indices of the refrigeration equipment, the water circulation equipment, and the oxygen supply equipment respectively, and c > b > a. , , are the influence coefficients of the refrigeration equipment power, the water circulation equipment power, and the oxygen supply equipment power on the survival rate respectively. is the default power value of the refrigeration equipment, is the current power value of the refrigeration equipment, is the default power value of the water circulation equipment, is the current power value of the water circulation equipment, is the default power value of the oxygen supply equipment, is the current power value of the oxygen supply equipment.

3. The method according to claim 1, wherein The multiple preservation devices further include multiple detection devices. If the energy consumption is greater than or equal to the energy reserve, an energy-saving mode is turned on, which specifically further includes: Divide the multiple detection devices into a high power consumption device group and a low power consumption device group. Set the turn-on time of the high power consumption devices and the turn-on time of the low power consumption device group, where the turn-on time of the high power consumption devices is less than the turn-on time of the low power consumption device group. Based on the turn-on time of the high power consumption devices and the turn-on time of the low power consumption device group, alternately turn on the high power consumption device group and the low power consumption device group.

4. A transportation system for a live aquatic product transport vehicle, characterized in that, The system is a vehicle-mounted control system, and the vehicle-mounted control system includes an information acquisition module (1), an information processing module (2), and a device control module (3), where: The information acquisition module (1) is used to acquire the current driving data and the in-vehicle environment data of the aquatic product transport vehicle. The driving data includes the driving speed, driving time, and the current location. The information processing module (2) is used to determine the driving state of the aquatic product transport vehicle according to the driving data; determine the preservation mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data, specifically including: Acquire environmental data, and the environmental data includes weather data, vehicle condition, and road condition. Generate an out-of-vehicle environment change curve according to the environmental data and the driving state. The out-of-vehicle environment change curve includes change curves corresponding to multiple types of out-of-vehicle environmental data. Input the out-of-vehicle environment change curve and the in-vehicle environment data into an environment change prediction model to obtain an in-vehicle environment change curve. The in-vehicle environment change curve includes change curves corresponding to multiple types of in-vehicle environmental data. Perform outlier analysis on the in-vehicle environment change curve to obtain a target adjustment parameter. Match the target adjustment parameter with a preservation device adjustment database to obtain adjustment methods of multiple preservation devices corresponding to the target adjustment parameter. The construction method of the preservation device adjustment database is specifically: Acquire multiple influencing factors of the target adjustment parameter and determine the influence weights of the multiple influencing factors on the target adjustment parameter. Based on the influence weights of the multiple influence factors on the target adjustment parameter, data fitting is performed on the parameter value of the target adjustment parameter and the parameter values of the multiple influence factors to obtain the change curve of the target adjustment parameter and the adjustment curves of the multiple influence factors corresponding to the preservation equipment; The change curve of the target adjustment parameter and the adjustment curves of the multiple influence factors corresponding to the preservation equipment are constructed into a corresponding relationship and stored in the preservation equipment adjustment database; The adjustment methods of multiple preservation equipment corresponding to the target adjustment parameter are set as the current preservation mode, so that multiple preservation equipment corresponding to the target adjustment parameter can stabilize the parameter value of the target adjustment parameter within the normal range; The device control module (3) is used to control the operating states of multiple preservation equipment in the cold chain transport box according to the preservation mode, so that before the aquatic product transport vehicle reaches the destination, the survival rate of the aquatic products meets the preset survival rate. The multiple preservation equipment includes multiple life support equipment, and the multiple life support equipment is composed of an oxygen supply equipment, a water circulation equipment, and a refrigeration equipment. Specifically, it includes: According to the current location of the aquatic product transport vehicle and the destination location, the remaining transport distance is obtained; Calculate the energy consumption of the remaining transport distance, and the energy consumption is the energy consumed when the aquatic product transport vehicle turns on the preservation mode; Judge whether the energy consumption is greater than or equal to the energy reserve; If the energy consumption is greater than or equal to the energy reserve, an energy-saving mode is turned on. Specifically: According to the preset survival rate and the survival rate-power calculation formula, a survival rate change curve is generated. Each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the powers of multiple life support equipment; Calculate and compare with each other the one or more power consumption values of each coordinate point in the survival rate change curve to obtain multiple low power consumption values, and all the multiple low power consumption values are less than or equal to the energy reserve; Select the low power consumption value with the highest survival rate among the multiple low power consumption values as the optimal power consumption value. Specifically: According to the survival rate change curve, determine the survival rate upper limit and the power consumption value lower limit; according to the survival rate upper limit and the power consumption value lower limit, determine the optimal power consumption value from the multiple low power consumption values; Adjust the power values of the multiple life support equipment to the power values of the multiple life support equipment corresponding to the optimal power consumption value.

5. An electronic device, characterized in that, It includes a processor (301), a memory (305), a user interface (303), and a network interface (304). The memory (305) is used to store instructions. The user interface (303) and the network interface (304) are used to communicate with other devices. The processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 3 is executed.

Images