Fresh aquatic product transport vehicle transportation method and system and electronic equipment

Abstract

The invention discloses a fresh aquatic product transport vehicle transportation method and system and electronic equipment, and relates to the field of aquatic product preservation. The method is applied to a vehicle-mounted control system and comprises the steps that current driving data and in-vehicle environment data of the aquatic product transport vehicle are obtained, and the driving data comprise the driving speed, the driving time and the current position; determining the driving state of the aquatic product transport vehicle according to the driving data; determining a fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; according to the fresh-keeping mode, the operation states of various fresh-keeping devices in the cold-chain transport box are controlled, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination. By implementing the technical scheme provided by the invention, the problem that the aquatic product quality is reduced due to a relatively poor transportation environment in the transportation process of the aquatic product transportation vehicle is solved.

Description

Technical Field

[0001] The present application relates to the technical field of aquatic product preservation, and in particular to a method, system and electronic equipment for transporting fresh aquatic products by a transport vehicle. Background Art

[0002] The rich nutrients in aquatic products make them an important part of people's daily diet. The freshness of aquatic products directly affects their nutritional value, so it is very important to keep aquatic products fresh during transportation.

[0003] At present, the preservation of fresh aquatic products mainly adopts cold chain transportation technology, which controls the temperature, oxygen and humidity at a suitable temperature for aquatic products, thereby reducing the stress response and quality loss of aquatic products and ensuring that aquatic products remain fresh and alive 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 vehicle will be affected by the external environment, which will directly or indirectly cause the environment inside the vehicle to be unable to maintain a stable state, thereby reducing the quality of aquatic products. Summary of the invention

[0004] In order to solve the problem that the quality of aquatic products is deteriorated due to the poor transportation environment during the transportation of aquatic products, the present application provides a transportation method, system and electronic equipment for a fresh aquatic product transportation vehicle.

[0005] In a first aspect, the present application provides a method for transporting fresh aquatic products by a transport vehicle, which is applied to a vehicle-mounted control system, and the method comprises: Acquire the current driving data and in-vehicle environment data of the aquatic product transport vehicle, wherein the driving data includes driving speed, driving time and current location; Determining the driving state of the aquatic product transport vehicle according to the driving data; Determining a fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; According to the preservation mode, the operating states of various preservation devices in the cold chain transport box are controlled so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination.

[0006] In one embodiment, environmental data is obtained, the environmental data including weather data, vehicle conditions, and road conditions; Generate an external environment change curve according to the environmental data and the driving state, wherein the external environment change curve includes change curves corresponding to multiple types of external environment data; Inputting the vehicle exterior environment change curve and the vehicle interior environment data into an environment change prediction model to obtain a vehicle interior environment change curve, wherein the vehicle interior environment change curve includes change curves corresponding to a plurality of vehicle interior environment data types; Performing an outlier analysis on the in-vehicle environment change curve to obtain a target adjustment parameter; Matching the target adjustment parameter with a fresh-keeping equipment adjustment database to obtain adjustment modes of multiple fresh-keeping equipment corresponding to the target adjustment parameter; The adjustment modes of the various fresh-keeping devices corresponding to the target adjustment parameters are set as the current fresh-keeping modes, so that the various fresh-keeping devices corresponding to the target adjustment parameters stabilize the parameter values ​​of the target adjustment parameters within a normal range.

[0007] In one embodiment, the fresh-keeping equipment adjustment database is constructed in the following manner: Acquire multiple influencing factors of a 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, data fitting is performed on the parameter value of the target adjustment parameter and the parameter values ​​of the multiple influencing factors to obtain a change curve of the target adjustment parameter and an adjustment curve of the fresh-keeping equipment corresponding to the multiple influencing factors; A corresponding relationship is established between the change curve of the target adjustment parameter and the adjustment curves of the fresh-keeping equipment corresponding to the plurality of influencing factors, and the relationship is stored in the fresh-keeping equipment adjustment database.

[0008] In one embodiment, the remaining transportation distance is obtained according to the current position of the aquatic product transport vehicle and the destination position; Calculating the energy consumption of the remaining transportation distance, where the energy consumption is the energy consumed by the aquatic product transport vehicle when the fresh-keeping mode is turned on; Determining 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, the energy saving mode is turned on.

[0009] In one embodiment, the plurality of fresh-keeping devices include a plurality of life-sustaining devices, and the plurality of life-sustaining devices are composed of oxygen supply devices, water circulation devices, and refrigeration devices. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, specifically: Generate a survival rate change curve according to the preset survival rate and the survival rate-power calculation formula, wherein each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the power of multiple life support devices; 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, wherein the multiple low power consumption values ​​are all less than or equal to the energy reserve; Selecting a low power consumption value with the highest survival rate among the multiple low power consumption values ​​as the optimal power consumption value; The power values ​​of the various life-supporting devices are adjusted to the power values ​​of the various life-supporting devices corresponding to the optimal power consumption values.

[0010] In one embodiment, the survival rate-power calculation formula is specifically: Among them, S is the survival rate, a, b, c are the weight indexes of refrigeration equipment, water circulation equipment and oxygen supply equipment respectively, and c>b>a, , , are the influence coefficients of refrigeration equipment power, water circulation equipment power and oxygen supply equipment power on the survival rate, The default power value for the cooling equipment. is the current power value of the refrigeration equipment, The default power value for water circulation equipment. is the current power value of the water circulation equipment, The default power value for oxygen supply equipment. It is the current power value of the oxygen supply equipment.

[0011] In one embodiment, the plurality of fresh-keeping devices further include a detection device, and if the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, which specifically includes: Dividing the plurality of detection devices into a high power consumption device group and a low power consumption device group; Setting the start time of the high power consumption device and the start time of the low power consumption device group, wherein the start time of the high power consumption device is less than the start time of the low power consumption device group; Based on the start-up time of the high power consumption device and the start-up 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.

[0012] In a second aspect, the present application provides a fresh aquatic product transport vehicle transportation system, the system is a vehicle-mounted control system, the vehicle-mounted control system includes an information acquisition module, an information processing module and an equipment control module, wherein: The information acquisition module is used to obtain the current driving data and in-vehicle environment data of the aquatic product transport vehicle, wherein the driving data includes driving speed, driving time and current location; 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 fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; The equipment control module is used to control the operating status 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 arrives at the destination.

[0013] In a third aspect, the present application provides an electronic device comprising a processor, a memory, a user interface and a network interface, wherein 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 a method as described in any one of the first aspects.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, the method as described in any one of the first aspects is executed.

[0015] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 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.

[0016] 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.

[0017] 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

[0018] Figure 1 It is a flow chart of a fresh aquatic product transport method provided by an embodiment of the present application.

[0019] 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.

[0020] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0021] 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

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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.

[0026] At present, the cold chain system built in the aquatic product transport vehicle controls the temperature, oxygen and humidity in an environment suitable for the survival of aquatic products, thereby reducing the stress response and quality loss of aquatic products and ensuring that aquatic products remain fresh and alive 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 in the vehicle compartment is affected by the external environment, which will directly or indirectly cause the environment in the vehicle compartment to be unable to maintain a stable state, thereby reducing the quality of aquatic products.

[0027] Before introducing the embodiments of the present application, it should be explained that the present application is applied to the application scenario of transporting fresh aquatic products, and does not take into account edible aquatic plants and freshly caught and frozen fish.

[0028] In order to solve the above technical problems, the present application provides a method for transporting fresh aquatic products by a transport vehicle, referring to Figure 1 , Figure 1 1 is a flow chart of a method for transporting fresh aquatic products by a transport vehicle disclosed in an embodiment of the present application. The method is applied to a vehicle-mounted control system, including steps S101 to S104, which are as follows: S101. Acquire 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.

[0029] In the above steps, before transporting aquatic products, the aquatic product transport vehicle must first plan the transportation route and transportation time. The selected transportation route must ensure that the road conditions are good, the traffic jam rate and the accident rate are lower than the corresponding preset values. In addition, during the transportation of the aquatic product transport vehicle, the on-board control system obtains the current driving data of the aquatic product transport vehicle and displays the driving data to the driver through the central control screen, which can accurately estimate the arrival time to prepare for the next possible emergency, and can also remind the transport driver of the location during transportation at all times, so as to avoid the transport driver temporarily changing the transportation route due to unfamiliarity with the route, reduce the probability of encountering emergencies, and the transport driver can view the energy reserves of the cold chain system in real time, and can also provide a reference for the driver's next driving speed, thereby ensuring that the quality of the aquatic products is less after being transported to the destination.

[0030] S102: Determine the driving status of the aquatic product transport vehicle according to the driving data.

[0031] In the above steps, the driving data includes driving speed, driving time and current location, so the driving status of the aquatic product transport vehicle can be accurately obtained based on these three indicators. Driving status includes traffic jam status, bumpy driving status and complex route driving status. Among them, the traffic jam status is determined by the vehicle driving speed of the aquatic product transport vehicle, and the bumpy driving status is determined by the driving speed and driving time. It can be understood that in the bumpy driving state, the speed and time of the aquatic product transport vehicle have short-term and continuous fluctuation characteristics, which can accurately distinguish the normal driving state. The complex route driving status is determined by the current location and 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.

[0032] S103: Determine a fresh-keeping mode of the aquatic product transport vehicle according to the driving status of the aquatic product transport vehicle and the in-vehicle environment data.

[0033] In the above steps, the aquatic product transport vehicle has different impacts on the interior environment when it is in different driving states, and this impact includes direct impact and indirect impact. For example, when the external environment is hot weather, if the aquatic product transport vehicle is in a normal driving state, the temperature in the car will not be greatly affected. However, if the aquatic product transport vehicle is in a traffic jam, the aquatic product transport vehicle may be exposed to the sun for a long time, which will exceed the adjustment limit of the temperature control equipment, thereby causing the temperature in the car to change. Indirect impact 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 tilt, causing the fresh-keeping equipment in the car to be impacted and unable to play a good effect, thereby affecting the change of the environment in the car. Based on this, the present application proposes to predict and analyze the changes in the environment inside the aquatic product transport vehicle under the influence of the vehicle's driving status and the external environmental data, obtain the abnormal environmental parameters that are about to be out of balance, and then use a multi-device collaborative adjustment method based on the influence relationship between the various environmental data in the car to stabilize the abnormal environmental parameters within the normal range. This not only reduces the adjustment pressure of a single device, making the environment inside the car stable; it also keeps the adjustment process smooth and will not cause a stress response in the aquatic product, thereby ensuring the quality of the aquatic product. The above process is specifically as follows: First, environmental data is obtained, and the environmental data includes but is not limited to weather data, vehicle conditions, road conditions, and altitude, etc.; then, based on the environmental data and the current driving state, the possible changes in the external environment are predicted, and the external environment change curve is generated. The prediction method can be predicted using an existing environmental change prediction model, which is a conventional technical means for personnel in this field and will not be described in detail; the generated external environment change curve includes multiple different types of change curves, for example, it can include a temperature change curve and a vehicle speed change curve. Then, the external environment change curve and the internal environment data are input into the environmental change prediction model to predict the changes in the internal environment data under the influence of the external environment, and generate the internal environment change curve, which includes multiple change curves corresponding to 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, the internal environment change curve is analyzed for abnormal values. When the adjustable parameter fluctuates greatly or exceeds the normal range after a period of time, the adjustable parameter can be determined as the target adjustment parameter.

[0034] When adjusting the target adjustment parameter, the target adjustment parameter needs to be matched with the fresh-keeping equipment adjustment database first, and the adjustment methods of various fresh-keeping equipment corresponding to the target adjustment parameter are obtained. Among them, the fresh-keeping equipment adjustment database stores the corresponding relationship between the change curve of the adjustment parameter and the adjustment curve of the fresh-keeping equipment corresponding to multiple influencing factors. The construction method of the fresh-keeping equipment adjustment database is specifically as follows: first, the hierarchical analysis method is used to analyze the influence weights of multiple influencing factors that affect the target adjustment parameter, and then the target adjustment parameter is used as the output, and the parameter values ​​and influence weights of multiple influencing factors are used as inputs for data fitting, and the data fitting results are statistically analyzed to generate the change curve of the target adjustment parameter and the adjustment curve of the fresh-keeping equipment corresponding to the 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 fresh-keeping equipment. For example, when the target adjustment parameter is temperature, any coordinate point in the temperature change curve can find the corresponding adjustment point on the change curve of multiple fresh-keeping equipment. It should be explained that the data fitting method used in the above scheme is to conduct multiple experiments and practices in the laboratory and real scenes to characterize the possible changes of the target adjustment parameter under the joint influence of multiple influencing factors. Finally, the change curve of the target adjustment parameter and the adjustment curves of the fresh-keeping equipment corresponding to the multiple influencing factors are constructed into a corresponding relationship and stored in the fresh-keeping equipment adjustment database. Finally, the adjustment modes of the various fresh-keeping equipment corresponding to the target adjustment parameter are set as the current fresh-keeping mode, so that the various fresh-keeping equipment corresponding to the target adjustment parameter stabilizes the parameter value of the target adjustment parameter within a normal range.

[0035] S104. According to the preservation mode, the operating states of various preservation devices in the cold chain transport box are controlled so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination.

[0036] 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 will cause the preservation equipment to stop working and affect the quality of the aquatic products. Therefore, it is necessary to adjust the power values ​​of various preservation equipment in the preservation mode, specifically: first, according to the current location of the aquatic product transport vehicle and the destination location, calculate the remaining transportation distance, and then calculate the energy consumption of the remaining transportation distance. The energy consumption is the energy consumed by the aquatic product transport vehicle when the current preservation mode is turned on; if the energy consumption of the aquatic product transport vehicle is greater than or equal to the energy reserve, the energy saving mode is turned on.

[0037] In one possible implementation, when the energy-saving mode is turned on, the reduced energy consumption will cause a change 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 a waste of resources. Even if the energy consumption is reduced by the same amount, the survival rate will be inconsistent due to the different performance of the preservation equipment. Therefore, in order to ensure a higher survival rate as much as possible while selecting the lowest power consumption value, it is necessary to optimize and adjust the power values ​​of a variety of preservation equipment. The various preservation equipment includes a variety of life-sustaining equipment, and the various life-sustaining equipment is composed of oxygen supply equipment, water circulation equipment, and refrigeration equipment. The present application generates a survival rate change curve based on a preset survival rate and a survival rate-power calculation formula. 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 contains the power values ​​of multiple life-sustaining equipment. Among them, the survival rate-power calculation formula is specifically: Among them, S is the survival rate, a, b, c are the weight indexes of refrigeration equipment, water circulation equipment and oxygen supply equipment respectively, and c>b>a, , , are the influence coefficients of refrigeration equipment power, water circulation equipment power and oxygen supply equipment power on the survival rate, The default power value for the cooling equipment. is the current power value of the refrigeration equipment, The default power value for water circulation equipment. is the current power value of the water circulation equipment, The default power value for oxygen supply equipment. It is the current power value of the oxygen supply equipment.

[0038] In the above formula, by constantly debugging 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 factors, so as to obtain the optimal power combination. It is further explained that, first of all, the default power value of the life support equipment can be understood as the ideal power value with a survival rate of 100%. Secondly, aquatic products are more sensitive to environmental factors. When the power of life support equipment is changed, it will cause changes in environmental parameters, and slight changes in oxygen content, water quality and temperature will have a greater impact on the survival rate of aquatic products. Therefore, the above formula uses an exponential model that is more in line with the actual situation. In addition, the impact of environmental factors on aquatic products is nonlinear, so a quadratic function is used to simulate this nonlinear change relationship for the change in power, so as to more accurately express the nonlinear impact 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, so weighted influence factors a, b and c are set respectively, among which c>b>a. When debugging the current power values ​​of the three life support equipment, the priorities of the three environmental factors are guaranteed under the influence of the weight factors. Finally, a sensitivity coefficient is set for the power maintained by each life support equipment 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.

[0039] To summarize, in order to find the power combination with the lowest power consumption 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 of the multiple low power consumption values ​​are less than or equal to the energy reserves; then compare the survival rates corresponding to the multiple low power consumption values, and 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 values, so as to achieve maximum energy saving while maintaining the highest survival rate.

[0040] In a possible implementation, the various fresh-keeping devices also include various detection devices, which include both high-power detection devices and low-power detection devices. Normally, the detection accuracy of high-power devices is high, and the detection accuracy of low-power detection devices is low. If the high-precision detection device is in the on state for a long time, more heat and mechanical loss will be generated during operation, thereby 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: the various detection devices are divided into a high-power device group and a low-power device group, the high-power device group can be understood as an actuator or a data processing device, and the low-power device group can be understood as an information measuring device such as a sensor. Then set the on-time of the high-power device group and the on-time of the low-power device group, wherein the on-time of the high-power device group is less than the on-time of the low-power device group. In addition, the optimal ratio of the on-time of the high-power device group to the on-time of the low-power device group can be 1:10, and the specific on-time of the two groups depends on the actual situation, which is not limited in this application. Finally, according to the start-up time of the high-power consumption device and the start-up 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.

[0041] Reference Figure 2 The present application also provides a fresh aquatic product transport vehicle transportation system, the system is a vehicle-mounted control system, the vehicle-mounted control system includes an information acquisition module 1, an information processing module 2 and a device control module 3, wherein: Information acquisition module 1, used to obtain the current driving data and in-vehicle environment data of the aquatic product transport vehicle, the driving data including driving speed, driving time and 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; and to determine the fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; The equipment control module 3 is used to control the operating status of various fresh-keeping equipment in the cold chain transport box according to the fresh-keeping mode, so that the survival rate of aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination.

[0042] In a possible implementation, environmental data is obtained, where the environmental data includes weather data, vehicle conditions, and road conditions; Generate an external environment change curve according to the environmental data and driving status, the external environment change curve including change curves corresponding to multiple types of external environment data; Inputting the external environment change curve and the internal environment data into the environment change prediction model to obtain the internal environment change curve, wherein the internal environment change curve includes change curves corresponding to various types of internal environment data; Perform outlier analysis on the in-vehicle environment change curve to obtain the target adjustment parameters; Matching the target adjustment parameters with the fresh-keeping equipment adjustment database to obtain adjustment methods of various fresh-keeping equipment corresponding to the target adjustment parameters; The adjustment modes of the various fresh-keeping devices corresponding to the target adjustment parameters are set as the current fresh-keeping modes, so that the various fresh-keeping devices corresponding to the target adjustment parameters stabilize the parameter values ​​of the target adjustment parameters within a normal range.

[0043] In a possible implementation manner, the fresh-keeping equipment adjustment database is constructed in the following manner: 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 multiple influencing 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 influencing factors to obtain a change curve of the target adjustment parameter and an adjustment curve of the fresh-keeping equipment corresponding to the multiple influencing factors; A corresponding relationship is established between a change curve of the target adjustment parameter and an adjustment curve of the fresh-keeping equipment corresponding to a plurality of influencing factors, and the relationship is stored in a fresh-keeping equipment adjustment database.

[0044] In a possible implementation, the remaining transportation distance is obtained according to the current location of the aquatic product transport vehicle and the destination location; Calculate the energy consumption for the remaining transportation distance. The energy consumption is the energy consumed by the aquatic product transport vehicle when it is in the fresh-keeping mode. Determine whether energy consumption is greater than or equal to energy reserves; If the energy consumption is greater than or equal to the energy reserve, the energy saving mode is turned on.

[0045] In a possible implementation, the multiple fresh-keeping devices include multiple life-supporting devices, which are composed of oxygen supply devices, water circulation devices, and refrigeration devices. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, specifically: Generate a survival rate change curve according to a preset survival rate and a survival rate-power calculation formula, wherein each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the power of multiple life-sustaining devices; 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 the multiple low power consumption values ​​are all less than or equal to the energy reserve; Selecting the low power consumption value with the highest survival rate among multiple low power consumption values ​​as the optimal power consumption value; The power values ​​of the various life-supporting devices are adjusted to the power values ​​of the various life-supporting devices corresponding to the optimal power consumption values.

[0046] In a possible implementation manner, the survival rate-power calculation formula is specifically: Among them, S is the survival rate, a, b, c are the weight indexes of refrigeration equipment, water circulation equipment and oxygen supply equipment respectively, and c>b>a, , , are the influence coefficients of refrigeration equipment power, water circulation equipment power and oxygen supply equipment power on the survival rate, The default power value for the cooling equipment. is the current power value of the refrigeration equipment, The default power value for water circulation equipment. is the current power value of the water circulation equipment, The default power value for oxygen supply equipment. It is the current power value of the oxygen supply equipment.

[0047] In a possible implementation, the various fresh-keeping devices further include a detection device, and if the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, which specifically includes: Divide various detection devices into a high-power consumption device group and a low-power consumption device group; Set the start time of the high power consumption device and the start time of the low power consumption device group, wherein the start time of the high power consumption device is shorter than the start time of the low power consumption device group; Based on the start-up time of the high-power consumption device and the start-up 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.

[0048] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, 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 embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0049] The present application also discloses an electronic device. Figure 3 , Figure 3 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 .

[0050] The communication bus 302 is used to realize the connection and communication between these components.

[0051] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0052] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0053] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; 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 it can be implemented separately through a chip.

[0054] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (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, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for a fresh aquatic product transport method.

[0055] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program stored in the memory 305 for a method of transporting a fresh aquatic product transport vehicle. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0056] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0057] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0058] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0059] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0060] If the 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 the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0061] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0062] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for transporting fresh aquatic products by a transport vehicle, characterized in that: Applied to a vehicle-mounted control system, the method comprises: Acquire the current driving data and in-vehicle environment data of the aquatic product transport vehicle, wherein the driving data includes driving speed, driving time and current location; Determining the driving state of the aquatic product transport vehicle according to the driving data; Determining a fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; According to the preservation mode, the operating states of various preservation devices in the cold chain transport box are controlled so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination.

2. The method according to claim 1, characterized in that 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 specifically includes: Acquiring environmental data, the environmental data including weather data, vehicle conditions, and road conditions; Generate an external environment change curve according to the environmental data and the driving state, wherein the external environment change curve includes change curves corresponding to multiple types of external environment data; Inputting the vehicle exterior environment change curve and the vehicle interior environment data into an environment change prediction model to obtain a vehicle interior environment change curve, wherein the vehicle interior environment change curve includes change curves corresponding to a plurality of vehicle interior environment data types; Performing an outlier analysis on the in-vehicle environment change curve to obtain a target adjustment parameter; Matching the target adjustment parameter with a fresh-keeping equipment adjustment database to obtain adjustment modes of multiple fresh-keeping equipment corresponding to the target adjustment parameter; The adjustment modes of the various fresh-keeping devices corresponding to the target adjustment parameters are set as the current fresh-keeping modes, so that the various fresh-keeping devices corresponding to the target adjustment parameters stabilize the parameter values ​​of the target adjustment parameters within a normal range.

3. The method according to claim 2, characterized in that The construction method of the fresh-keeping equipment adjustment database is specifically as follows: Acquire multiple influencing factors of a 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, data fitting is performed on the parameter value of the target adjustment parameter and the parameter values ​​of the multiple influencing factors to obtain a change curve of the target adjustment parameter and an adjustment curve of the fresh-keeping equipment corresponding to the multiple influencing factors; A corresponding relationship is established between the change curve of the target adjustment parameter and the adjustment curves of the fresh-keeping equipment corresponding to the plurality of influencing factors, and the relationship is stored in the fresh-keeping equipment adjustment database.

4. The method according to claim 1, characterized in that: According to the preservation mode, controlling the operating status of various preservation devices in the cold chain transport box specifically includes: Obtaining the remaining transportation distance according to the current location of the aquatic product transport vehicle and the destination location; Calculating the energy consumption of the remaining transportation distance, where the energy consumption is the energy consumed by the aquatic product transport vehicle when the fresh-keeping mode is turned on; Determining 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, the energy saving mode is turned on.

5. The method according to claim 4, characterized in that The various fresh-keeping devices include various life-sustaining devices, and the various life-sustaining devices are composed of oxygen supply equipment, water circulation equipment, and refrigeration equipment. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, specifically: Generate a survival rate change curve according to the preset survival rate and the survival rate-power calculation formula, wherein each coordinate point in the survival rate change curve stores one or more power combinations, and the power combination includes the power of multiple life support devices; 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, wherein the multiple low power consumption values ​​are all less than or equal to the energy reserve; Selecting a low power consumption value with the highest survival rate among the multiple low power consumption values ​​as the optimal power consumption value; The power values ​​of the various life-supporting devices are adjusted to the power values ​​of the various life-supporting devices corresponding to the optimal power consumption values.

6. The method according to claim 5, characterized in that The survival rate-power calculation formula is specifically: Among them, S is the survival rate, a, b, c are the weight indexes of refrigeration equipment, water circulation equipment and oxygen supply equipment respectively, and c>b>a, , , are the influence coefficients of refrigeration equipment power, water circulation equipment power and oxygen supply equipment power on the survival rate, The default power value for the cooling equipment. is the current power value of the refrigeration equipment, The default power value for water circulation equipment. is the current power value of the water circulation equipment, The default power value for oxygen supply equipment. It is the current power value of the oxygen supply equipment.

7. The method according to claim 4, characterized in that The various fresh-keeping devices also include various detection devices. If the energy consumption is greater than or equal to the energy reserve, the energy-saving mode is turned on, which specifically includes: Dividing the plurality of detection devices into a high power consumption device group and a low power consumption device group; Setting the start time of the high power consumption device and the start time of the low power consumption device group, wherein the start time of the high power consumption device is less than the start time of the low power consumption device group; Based on the start-up time of the high power consumption device and the start-up 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.

8. A fresh aquatic product transport vehicle transportation system, characterized in that: The system is a vehicle-mounted control system, comprising an information acquisition module (1), an information processing module (2) and a device control module (3), wherein: The information acquisition module (1) is used to acquire the current driving data and in-vehicle environment data of the aquatic product transport vehicle, wherein the driving data includes driving speed, driving time and 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; and to determine the fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; The equipment control module (3) is used to control the operating states of various fresh-keeping equipment in the cold chain transport box according to the fresh-keeping mode, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination.

9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and 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 7.

10. 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 7 is performed.

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