Cold chain transportation system capable of intelligently and remotely controlling temperature

Abstract

The invention relates to the field of cold-chain transportation, in particular to a cold-chain transportation system capable of intelligently and remotely controlling temperature, which comprises an initial temperature setting module for setting initial temperature in a cold-chain carriage according to a to-be-transported body; the temperature curve determination module is used for dividing the predicted transportation duration into a plurality of unfreezing time periods and determining an unfreezing temperature curve according to the unfreezing time periods, the initial temperature and the target temperature; the temperature adjusting module is used for adjusting the temperature in the cold-chain carriage according to the unfreezing temperature curve by using the temperature difference value inside and outside the cold-chain carriage and the running speed; and the early warning module monitors the real-time temperature in the compartment in real time according to the temperature monitoring equipment so as to ensure that the temperature is always controlled within a certain preset range, and when the temperature deviates from the preset range, the system gives an alarm prompt. And the temperature control precision is ensured, and meanwhile, the transportation energy consumption is minimized.

Description

Technical Field

[0001] The present invention relates to the field of cold chain transportation, and in particular to a cold chain transportation system with intelligent remote temperature control. Background Art

[0002] Temperature regulation in carriages during cold chain transportation is a key link in ensuring food quality and safety. Frozen goods that are not thawed in time will gradually lose moisture and nutrients during transportation, and their taste and quality will deteriorate. When the temperature in the carriage is set too high or improperly adjusted, causing the temperature to exceed the appropriate range for food storage, it will accelerate the thawing of the food and even deteriorate. Temperature regulation in carriages during cold chain transportation of food is a key link in ensuring food quality and safety.

[0003] The patent document with publication number CN211349120U discloses a temperature monitoring and control system during the transportation of cold chain goods, including a monitoring platform, an insulated box with a wireless temperature sensor, an electronic lock, an irreversible cold charging port, a driver's mobile terminal APP, and a supervisor's mobile terminal APP. The driver's mobile terminal APP is connected to the insulated box wireless temperature sensor for communication, the driver's mobile terminal APP is remotely connected to the monitoring platform for communication, and the monitoring platform is connected to the supervisor's mobile terminal APP for communication; the monitoring platform is provided with an AI intelligent computing module, the AI ​​intelligent computing module obtains cold chain order information, and intelligently calculates the transportation insulation packaging plan of the cold chain goods according to the delivery season of the cold chain order, the starting temperature, the destination temperature, the transportation distance, the temperature zone requirements of the cold chain goods and the volume of the cold chain goods, so as to ensure that the cold chain transportation process does not lose temperature; during the cold chain transportation process, the driver's mobile terminal APP constantly obtains the temperature data of the cold chain goods in the box from the insulated box wireless temperature sensor, and the driver's mobile terminal APP communicates the temperature data with the driver The mobile terminal APP trajectory is uploaded to the monitoring platform. If the temperature obtained by the driver's mobile terminal APP is about to exceed the set temperature zone range of the cold chain goods, the driver's mobile terminal APP will always use sound and light alarms to remind the transportation driver, and the driver's mobile terminal APP will start the car air conditioner through Bluetooth to achieve temperature control. At the same time, the driver's mobile terminal APP reminds the driver to use the cold charging port of the insulation box for emergency cooling treatment; when the monitoring platform receives data that is about to exceed the temperature zone range of the cold chain goods, it will send an alarm message to the supervisor's mobile terminal APP to supervise and deal with the cold chain goods after the alarm. When the cold chain goods arrive at the destination with qualified temperature, the receiving user scans to unlock and submit the order, and the intelligent cold chain transportation without temperature loss is completed; the packaging plan at least includes: insulation box type, the number of insulation boxes of each type, ice block type, the number of ice blocks of each type, pre-cooling temperature of each type of insulation box, pre-cooling time of each type of insulation box, pre-cooling temperature of each type of ice block, pre-cooling time of each type of ice block, release temperature of each type of ice block, and release time of each type of ice block.

[0004] In the prior art, during the cold chain transportation process, the driver's mobile terminal APP constantly obtains the temperature data of the cold chain goods in the box from the wireless temperature sensor of the insulated box. If the temperature obtained by the driver's mobile terminal APP is about to exceed the set temperature zone range of the cold chain goods, the driver's mobile terminal APP will constantly issue sound and light alarms to remind the transportation driver, and does not intelligently adjust the temperature during transportation to cope with real-time changes in the environment. Therefore, the problem of intelligently adjusting the temperature of cold chain food as the environment changes during transportation cannot be solved, resulting in quality problems of cold chain food affected by abnormal temperature. Summary of the invention

[0005] To this end, the present invention provides a cold chain transportation system with intelligent remote temperature control, which can solve the problem of intelligently adjusting the temperature of cold chain food as the environment changes during transportation by formulating a thawing temperature curve.

[0006] To achieve the above object, the present invention provides a cold chain transportation system with intelligent remote temperature control, comprising:

[0007] An initial temperature setting module is used to set the initial temperature in the cold chain compartment according to the object to be transported;

[0008] a temperature curve determination module, connected to the initial temperature setting module, dividing the expected transportation time into a number of thawing periods, and determining a thawing temperature curve according to the number of thawing periods, the initial temperature and the target temperature;

[0009] A temperature adjustment module, connected to the temperature adjustment module, for determining a heat exchange rate based on a temperature difference between the inside and outside of the cold chain compartment and a driving speed, and for adjusting the temperature inside the cold chain compartment based on the heat exchange rate and the thawing temperature curve. The temperature adjustment module is also used to monitor energy consumption data at temperatures corresponding to different driving speeds during the temperature adjustment process, so as to achieve minimum energy consumption within the range of the thawing temperature curve;

[0010] The early warning module is connected to the temperature adjustment module and the temperature curve determination module, and monitors the real-time temperature in the vehicle compartment according to the temperature monitoring device to ensure that the temperature is always controlled within a preset range, and issues an alarm when the temperature deviates from the preset range.

[0011] Furthermore, the temperature curve determination module includes:

[0012] A time period division unit, which divides the estimated transportation time into a plurality of thawing periods according to the temperatures corresponding to different thawing periods in the fresh-keeping management data of the object to be transported;

[0013] The curve generating unit is connected to the time period dividing unit and is used for inputting the initial temperature, the target temperature and the plurality of thawing time periods into a mathematical model to generate a thawing temperature curve.

[0014] Furthermore, the temperature adjustment module includes:

[0015] A temperature difference acquisition unit is used to obtain the temperature inside and outside the cold chain compartment in real time using a temperature sensor, and calculate the temperature difference based on the temperature inside and outside the cold chain compartment;

[0016] A driving speed acquisition unit, used to acquire the driving speed of the vehicle in real time through a GPS system;

[0017] a heat exchange rate determination unit, connected to the speed difference acquisition unit and the driving speed acquisition unit, respectively, for analyzing the temperature difference based on the driving speed to determine the heat exchange rate;

[0018] a temperature regulating unit connected to the heat exchange rate determining unit, for adjusting the temperature in the cold chain compartment according to the thawing temperature curve based on the real-time heat exchange rate and the driving speed;

[0019] The energy consumption regulation unit is used to monitor the energy consumption of the refrigeration equipment during the temperature adjustment process, analyze the energy consumption data at temperatures corresponding to different driving speeds, and continuously optimize the temperature adjustment according to the analysis results to minimize energy consumption while ensuring that it is within the range of the thawing temperature curve.

[0020] Further, the heat exchange rate determination unit includes:

[0021] An input subunit, for inputting the real-time obtained temperature difference between the inside and outside of the vehicle compartment, the driving speed, and the material properties of the vehicle compartment into a pre-established mathematical model, wherein the mathematical model is constructed based on the principles of heat transfer and fluid mechanics;

[0022] The calculation subunit is connected to the input subunit and is used to calculate the heat exchange rate of the driving speed under the current conditions through a mathematical model.

[0023] Furthermore, the temperature adjustment unit comprises:

[0024] The control strategy acquisition subunit is used to calculate the temperature deviation between the actual temperature in the cabin and the thawing temperature curve, and analyze it in combination with the real-time heat exchange rate and driving speed to obtain a control strategy that can compensate for the influence of the heat exchange rate and driving speed on the temperature in the cabin;

[0025] The regulating subunit is connected to the input subunit and is used to adjust the refrigeration equipment according to the real-time heat exchange rate and the driving speed using the control strategy to ensure that the temperature in the vehicle compartment always follows the thawing temperature curve.

[0026] Furthermore, the energy consumption adjustment unit includes:

[0027] A data analysis subunit, for analyzing energy consumption data at different driving speeds and corresponding temperatures by using a statistical analysis method to determine a key factor affecting energy consumption, wherein the key factor is driving speed;

[0028] A temperature optimization subunit is connected to the data analysis unit and is used to optimize the temperature setting according to the key factors.

[0029] Furthermore, the temperature optimization subunit sets the temperature control accuracy requirement under the premise of ensuring the thawing temperature curve, formulates the energy consumption data under different speed ranges according to the changing trend of the driving speed, and thus selects the driving speed corresponding to the minimum energy consumption.

[0030] Furthermore, the early warning module includes:

[0031] The temperature collection unit is used to collect the ambient temperature of the cold chain compartment in real time using a temperature sensor;

[0032] The early warning unit is connected to the temperature collection unit and is used to issue an alarm to the driver through a voice prompt when the ambient temperature deviates from a preset thawing temperature curve range.

[0033] Furthermore, the initial temperature setting module includes:

[0034] A data acquisition unit, used to identify the object to be transported according to the image acquisition technology, so as to obtain the fresh-keeping management data of the object to be transported, and determine the ideal storage temperature based on the fresh-keeping management data;

[0035] A temperature setting unit is connected to the data acquisition unit and is used to set the initial temperature in the cold chain compartment according to the ideal storage temperature.

[0036] Furthermore, a remote monitoring module is included to determine the real-time distance to the destination during transportation and provide information prompts based on the real-time distance, including:

[0037] an actual distance calculation unit for calculating the actual distance between the vehicle's current position and the destination using a geographic information system;

[0038] The information sending unit is connected to the actual distance calculation unit, and is used for automatically triggering the remote monitoring to send information to the destination terminal when the actual distance is within a preset distance range.

[0039] Compared with the prior art, the beneficial effect of the present invention is that by precisely controlling the thawing temperature curve and the temperature in the carriage, the cold chain transportation system can ensure that the object to be transported maintains the best quality and taste during transportation. The temperature adjustment module minimizes energy consumption by optimizing the refrigeration equipment while ensuring the temperature control accuracy, thereby reducing transportation costs. The remote monitoring module can monitor the vehicle location and transportation status in real time, and promptly notify the destination terminal to prepare for receiving the goods, reducing waiting time and unnecessary delays. The early warning module effectively prevents cargo losses caused by abnormal temperatures by monitoring the temperature in the carriage in real time and issuing an alarm.

[0040] In particular, by precisely controlling the temperature changes during the thawing process, the temperature curve determination module can minimize the quality loss of the object to be transported during transportation, ensuring that it still maintains a high level of freshness and taste when it arrives at the destination. A reasonable thawing temperature curve can accelerate the thawing process of the object to be transported, while avoiding uneven thawing or quality degradation due to excessively high or low temperatures.

[0041] In particular, real-time temperature monitoring and precise adjustment ensure that the temperature inside the cold chain compartment always remains within the optimal range, thereby effectively extending the shelf life of the transported items and improving the transportation quality. By continuously optimizing the temperature adjustment strategy and considering the impact of driving speed on energy consumption, the energy consumption adjustment unit significantly reduces the energy consumption during cold chain transportation, meeting the requirements of environmental protection and sustainable development.

[0042] In particular, by accurately calculating the heat exchange rate, the temperature in the vehicle cabin can be adjusted more accurately to ensure that it always follows the preset thawing temperature curve, thereby improving the accuracy and stability of temperature control. Accurate heat exchange rate calculation helps to optimize the energy consumption distribution of refrigeration equipment. Under the premise of ensuring the stability of the temperature in the vehicle cabin, unnecessary energy consumption can be reduced by adjusting the refrigeration equipment to achieve the goal of energy conservation and emission reduction.

[0043] In particular, through real-time calculation and dynamic temperature, the deviation between the temperature in the vehicle cabin and the target temperature can be significantly reduced, thereby improving the accuracy and stability of temperature control. Taking into account the influence of real-time changing factors such as heat exchange rate and driving speed, the effectiveness and adaptability of the control strategy can be ensured, enabling the system to maintain stable performance in various complex environments.

[0044] In particular, the energy consumption regulation unit significantly reduces energy consumption during cold chain transportation by optimizing temperature settings, which helps reduce the company's operating costs. By reducing unnecessary energy consumption, cold chain transportation vehicles can carry more goods or extend transportation distances, thereby improving overall transportation efficiency and reducing the possibility of manual intervention and erroneous operations. This intelligent feature improves the stability and reliability of the system.

[0045] In particular, through temperature control and driving speed optimization, the temperature optimization subunit can significantly reduce energy consumption during cold chain transportation. While reducing energy consumption, the optimized driving speed can also improve the overall efficiency of cold chain transportation, because the vehicle does not need to frequently adjust the speed during driving to cope with temperature changes, thereby reducing unnecessary stopping and acceleration processes.

[0046] In particular, by precisely controlling the temperature inside the carriage and ensuring that the objects to be transported are always kept within the optimal temperature range during the thawing process, the thawing quality can be effectively improved and the taste and nutritional value of the objects to be transported can be maintained. The real-time monitoring and early warning system can promptly detect and resolve temperature abnormalities and avoid cargo losses caused by excessive temperature fluctuations.

[0047] In particular, by accurately identifying the types of objects to be transported and obtaining their preservation management data, and intelligently calculating the initial temperature in combination with the current ambient temperature, it is possible to provide more accurate and appropriate storage temperatures for different types of objects to be transported (frozen goods), thereby significantly improving the preservation effect of the objects to be transported and extending their shelf life. The application of intelligent algorithms makes the temperature setting more reasonable, avoiding energy waste caused by improper temperature setting in traditional methods.

[0048] In particular, automatically sending information when the vehicle approaches the destination can help to quickly locate the vehicle in an emergency. Accurate distance information can provide timely rescue, which can effectively reduce safety hazards caused by long waiting time or failure to respond in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the structure of a cold chain transportation system with intelligent remote temperature control provided by an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of the structure of a temperature curve determination module of a cold chain transportation system with intelligent remote temperature control provided by an embodiment of the present invention;

[0051] Figure 3 A schematic diagram of the structure of a temperature adjustment module of a cold chain transportation system with intelligent remote temperature control provided by an embodiment of the present invention;

[0052] Figure 4 A schematic structural diagram of a remote monitoring module of a cold chain transportation system with intelligent remote temperature control provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0055] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0056] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] See also Figure 1 As shown, the present invention provides an intelligent remote temperature control cold chain transportation system, comprising:

[0058] An initial temperature setting module 10 is used to set the initial temperature in the cold chain compartment according to the object to be transported;

[0059] A temperature curve determination module 20, connected to the initial temperature setting module, divides the expected transportation time into a number of thawing periods, and determines a thawing temperature curve according to the number of thawing periods, the initial temperature and the target temperature;

[0060] A temperature adjustment module 30, connected to the temperature adjustment module, is used to determine a heat exchange rate based on a temperature difference between the inside and outside of the cold chain compartment and a driving speed, and to adjust the temperature inside the cold chain compartment based on the heat exchange rate and the thawing temperature curve. The temperature adjustment module is also used to monitor energy consumption data at temperatures corresponding to different driving speeds during the temperature adjustment process to achieve minimum energy consumption within the range of the thawing temperature curve;

[0061] The early warning module 40 is connected to the temperature regulating module and the temperature curve determining module, and monitors the real-time temperature in the vehicle compartment according to the temperature monitoring device to ensure that the temperature is always controlled within a preset range, and issues an alarm when the temperature deviates from the preset range.

[0062] Specifically, the cold chain transport is a process in which the object to be transported (frozen goods, including meat, vegetables, etc.) is thawed during transportation so that it is at the point of thawing when it arrives at the destination. The preparation work before transporting the object to be transported (frozen goods) is to set the initial temperature in the cold chain compartment and determine the thawing temperature curve. During transportation, the temperature in the cold chain compartment is adjusted according to the temperature difference between the inside and outside of the cold chain compartment and the driving speed according to the thawing temperature curve to minimize energy consumption while ensuring that it is within the range of the thawing temperature curve. The real-time temperature in the compartment is monitored in real time according to the temperature monitoring equipment to ensure that the temperature is always controlled within a certain preset range, which is the range of ±3°C of the thawing temperature curve. When the temperature deviates from the preset range, the system will issue an alarm. When the actual driving distance is within the preset distance range, information will be sent to the destination terminal, and the information will notify the estimated arrival time of the vehicle.

[0063] Specifically, by precisely controlling the thawing temperature curve and the temperature inside the vehicle, the cold chain transportation system can ensure that the transported goods maintain the best quality and taste during transportation. The temperature regulation module minimizes energy consumption by optimizing refrigeration equipment while ensuring temperature control accuracy, thereby reducing transportation costs. The remote monitoring module can monitor the vehicle location and transportation status in real time, and promptly notify the destination terminal to prepare for receiving the goods, reducing waiting time and unnecessary delays. The early warning module effectively prevents cargo losses caused by abnormal temperatures by monitoring the temperature inside the vehicle in real time and issuing alarms.

[0064] See also Figure 2 As shown, the temperature curve determination module 20 includes:

[0065] A time period division unit 21 divides the estimated transportation time into a plurality of thawing time periods according to the fresh-keeping management data of the object to be transported;

[0066] The curve generating unit 22 is connected to the time period dividing unit, and is used for inputting the initial temperature, the target temperature and the plurality of thawing time periods into a mathematical model to generate a thawing temperature curve.

[0067] Specifically, the time required to transport the object to be transported from the current location to the target location is taken as the estimated transportation time. During the transportation time, the object to be transported undergoes four thawing periods, and the temperature changes from the initial temperature to the target temperature during the four thawing periods. The thawing is completed within the estimated transportation time so that it can be used immediately after arriving at the target location.

[0068] Specifically, according to the preservation management data of the object to be transported and the estimated transportation time, the entire process is divided into several thawing periods (frozen maintenance stage, temperature slow rise stage, refrigerated transportation stage and rapid thawing stage). The thawing periods represent the different temperature stages that the object to be transported needs to go through during the transportation process to gradually achieve thawing. The initial temperature (i.e. the temperature of the carriage of the object to be transported when loading), the target temperature (the temperature reached by the object to be transported at the final destination), and several thawing periods are input into the mathematical model. The mathematical model will generate a smooth thawing temperature curve based on the input data and internal algorithms. The thawing temperature curve describes the temperature range maintained in each thawing period from the initial temperature to the target temperature, as well as the rate and trend of temperature change.

[0069] Specifically, by precisely controlling the temperature changes during the thawing process, the temperature curve determination module can minimize the quality loss of the object to be transported (frozen goods) during transportation, ensuring that it still maintains a high level of freshness and taste when it arrives at the destination. A reasonable thawing temperature curve can accelerate the thawing process of the object to be transported, while avoiding uneven thawing or quality degradation due to excessively high or low temperatures.

[0070] See also Figure 3 As shown, the temperature adjustment module 30 includes:

[0071] A temperature difference acquisition unit 31 is used to acquire the temperature inside and outside the cold chain compartment in real time using a temperature sensor, and calculate the temperature difference based on the temperature inside and outside the cold chain compartment;

[0072] A driving speed acquisition unit 32 is used to acquire the driving speed of the vehicle in real time through a GPS system;

[0073] a heat exchange rate determination unit 33, connected to the speed difference acquisition unit and the driving speed acquisition unit, respectively, for analyzing the temperature difference based on the driving speed to determine the heat exchange rate;

[0074] The temperature regulating unit 34 is connected to the heat exchange rate determining unit, and is used to adjust the temperature in the cold chain compartment according to the thawing temperature curve according to the real-time heat exchange rate and the driving speed, so as to ensure that the temperature in the compartment always follows the thawing temperature curve;

[0075] The energy consumption regulating unit 35 is used to monitor the energy consumption of the refrigeration equipment during the temperature adjustment process, analyze the energy consumption data at temperatures corresponding to different driving speeds, and continuously optimize the temperature adjustment according to the analysis results to minimize the energy consumption within the range of the thawing temperature curve.

[0076] Specifically, based on the real-time driving speed and temperature difference, relevant algorithms are used to analyze and determine the heat exchange rate inside and outside the car. The temperature inside the cold chain car is adjusted according to the real-time heat exchange rate, driving speed and thawing temperature curve. The energy consumption adjustment unit continuously monitors the energy consumption of the refrigeration equipment and collects energy consumption data at different driving speeds and corresponding temperatures. Through analysis of the data, the temperature is continuously adjusted to minimize energy consumption while ensuring the thawing temperature curve.

[0077] Specifically, real-time temperature monitoring and precise adjustment ensure that the temperature inside the cold chain compartment always remains within the optimal range, thereby effectively extending the shelf life of the transported items and improving the transportation quality. By continuously optimizing the temperature adjustment strategy and considering the impact of driving speed on energy consumption, the energy consumption adjustment unit significantly reduces the energy consumption during cold chain transportation, meeting the requirements of environmental protection and sustainable development.

[0078] Specifically, the heat exchange rate determination unit includes:

[0079] An input subunit, for inputting the real-time obtained temperature difference between the inside and outside of the vehicle compartment, the driving speed, and the material properties of the vehicle compartment into a pre-established mathematical model, wherein the mathematical model is constructed based on the principles of heat transfer and fluid mechanics;

[0080] The calculation subunit is connected to the input subunit and is used to calculate the heat exchange rate of the driving speed under the current conditions through a mathematical model.

[0081] Specifically, the mathematical model should take into account the heat conduction, convection heat transfer and radiation heat transfer through the wall inside and outside the car. Heat conduction is calculated through the thermal conductivity and temperature gradient of the car wall material. Convection heat transfer is related to the vehicle speed, the air flow state inside and outside the car and the heat transfer coefficient. Radiation heat transfer involves the calculation of radiation heat transfer between the inside and outside surfaces of the car and the environment. Under the influence of vehicle speed, the change of the air flow state inside and outside the car will affect the efficiency of convection heat transfer. According to the input temperature difference between the inside and outside of the car, the driving speed and the performance parameters of the car material, the algorithm in the mathematical model is used to calculate the heat exchange rate under the current conditions. This usually involves numerical solution methods, such as finite difference method, finite element method, etc., and iterative optimization algorithms are used to adjust and optimize the parameters in the model. For example, the heat transfer coefficient, emissivity and other parameters in the model are calibrated according to the measured data. After the calculation is completed, the heat exchange rate of the driving speed under the current conditions is output to the vehicle's temperature control system.

[0082] Specifically, by accurately calculating the heat exchange rate, the temperature in the car can be adjusted more accurately to ensure that it always follows the preset thawing temperature curve, thereby improving the accuracy and stability of temperature control. Accurate heat exchange rate calculation helps to optimize the energy consumption distribution of refrigeration equipment. Under the premise of ensuring the stability of the temperature in the car, unnecessary energy consumption can be reduced by adjusting the refrigeration equipment to achieve the goal of energy conservation and emission reduction.

[0083] Specifically, the temperature adjustment unit includes:

[0084] The control strategy acquisition subunit is used to calculate the temperature deviation between the actual temperature in the cabin and the thawing temperature curve, and analyze it in combination with the real-time heat exchange rate and driving speed to obtain a control strategy that can compensate for the influence of the heat exchange rate and driving speed on the temperature in the cabin;

[0085] The regulating subunit is connected to the input subunit and is used to adjust the refrigeration equipment according to the real-time heat exchange rate and the driving speed using the control strategy to ensure that the temperature in the vehicle compartment always follows the thawing temperature curve.

[0086] Specifically, the control strategy acquisition subunit will first receive real-time temperature data from the temperature sensor, and compare it with the preset thawing temperature curve to calculate the current temperature deviation. Subsequently, the real-time heat exchange rate (which is usually affected by multiple factors such as the insulation performance of the vehicle compartment, the external ambient temperature, wind speed, etc.) and the driving speed will be further considered. Through a comprehensive analysis of these factors, the influence of the real-time heat exchange rate and the driving speed on the current temperature deviation is obtained, and the driving speed and real-time heat exchange rate are dynamically adjusted according to the influence law to adapt to the ever-changing internal environment and external conditions of the vehicle compartment.

[0087] Specifically, through real-time calculation and dynamic adjustment of temperature, the deviation between the temperature inside the vehicle and the target temperature can be significantly reduced, thereby improving the accuracy and stability of temperature control. Taking into account the influence of real-time changing factors such as heat exchange rate and driving speed, the effectiveness and adaptability of the control strategy can be ensured, enabling the system to maintain stable performance in various complex environments.

[0088] Specifically, the energy consumption adjustment unit includes:

[0089] A data analysis subunit, for analyzing the energy consumption data at different driving speeds and corresponding temperatures by using a statistical analysis method, so as to determine a key factor affecting the energy consumption, wherein the key factor is the driving speed;

[0090] The temperature optimization subunit is connected to the data analysis unit and is used to optimize the temperature setting according to the key factors so as to minimize the energy consumption within the range of the thawing temperature curve.

[0091] Specifically, the data analysis subunit uses statistical analysis methods to analyze a large amount of data collected during the cold chain transportation process. The data includes temperature data corresponding to different driving speeds and energy consumption data of refrigeration equipment. By comparing, summarizing and summarizing these data, the data analysis subunit can identify the key factors affecting energy consumption. In the context of cold chain transportation, driving speed is an important influencing factor because it directly affects the heat exchange rate inside and outside the car and the workload of the refrigeration equipment. Once the key factors affecting energy consumption (such as driving speed) are determined, a temperature target that minimizes energy consumption is set while meeting the requirements of the thawing temperature curve. For example, when the driving speed is high, due to the accelerated air flow and the increased heat exchange rate inside and outside the car, it may be necessary to appropriately lower the temperature setting in the car to maintain the stability of the thawing temperature curve; when the driving speed is low, the temperature setting in the car should be appropriately increased to reduce energy consumption.

[0092] Specifically, the energy consumption regulation unit significantly reduces energy consumption during cold chain transportation by optimizing temperature settings, which helps reduce the company's operating costs. By reducing unnecessary energy consumption, cold chain transportation vehicles can carry more goods or extend transportation distances, thereby improving overall transportation efficiency and reducing the possibility of manual intervention and erroneous operations. This intelligent feature improves the stability and reliability of the system.

[0093] Specifically, the temperature optimization subunit includes:

[0094] Under the premise of ensuring the thawing temperature curve, the temperature control accuracy requirements are set, and according to the changing trend of the driving speed, the energy consumption data under different speed ranges are formulated, so as to select the driving speed corresponding to the least energy consumption, so as to minimize the energy consumption within the range of the thawing temperature curve.

[0095] Specifically, the temperature optimization subunit will set a reasonable temperature control accuracy range according to the characteristics of the goods and transportation requirements. This range must ensure that the goods will not be damaged due to excessively high or low temperatures during the thawing process, and allow a certain temperature fluctuation to adapt to changes in driving speed and external environment. The driving speed of cold chain transport vehicles is monitored in real time, and its changing trend is analyzed. Changes in driving speed will directly affect the heat exchange rate inside and outside the car, and then affect the energy consumption of refrigeration equipment. Therefore, accurate monitoring and prediction of driving speed is the key to formulating optimization strategies. Based on historical data and real-time monitoring results, the temperature optimization subunit will formulate energy consumption data tables under different driving speed ranges. The data table lists the energy consumption of refrigeration equipment required to maintain a stable temperature in the car at different speeds. Through comparative analysis, the driving speed corresponding to the least energy consumption is selected.

[0096] Specifically, through temperature control and driving speed optimization, the temperature optimization subunit can significantly reduce energy consumption during cold chain transportation. While reducing energy consumption, the optimized driving speed can also improve the overall efficiency of cold chain transportation, because the vehicle does not need to frequently adjust the speed during driving to cope with temperature changes, thereby reducing unnecessary parking and acceleration processes.

[0097] Specifically, the early warning module includes:

[0098] The temperature collection unit is used to collect the ambient temperature of the cold chain compartment in real time using a temperature sensor;

[0099] The early warning unit is connected to the temperature collection unit and is used to issue an alarm to the driver through a voice prompt when the ambient temperature deviates from a preset thawing temperature curve range.

[0100] Specifically, the preset thawing temperature curve range is determined according to the type of object to be transported, and the ambient temperature of the cold chain compartment is collected in real time using a temperature sensor: In order to monitor the temperature conditions in the compartment in real time, the system will install a high-precision temperature sensor in the compartment. Once the real-time temperature deviates from the preset thawing temperature curve range, the early warning system will issue an alarm to the driver through voice, reminding the driver to pay attention and take corresponding measures to adjust the temperature in the compartment to ensure that the object to be transported can be thawed according to the predetermined thawing temperature curve.

[0101] Specifically, by precisely controlling the temperature inside the carriage and ensuring that the object to be transported is always kept within the optimal temperature range during the thawing process, the thawing quality can be effectively improved and the taste and nutritional value of the object to be transported can be maintained. The real-time monitoring and early warning system can promptly detect and resolve temperature abnormalities and avoid cargo losses caused by excessive temperature fluctuations.

[0102] Specifically, the initial temperature setting module includes:

[0103] A data acquisition unit, used to identify the object to be transported according to the image acquisition technology, so as to obtain the fresh-keeping management data of the object to be transported, and determine the ideal storage temperature based on the fresh-keeping management data;

[0104] A temperature setting unit is connected to the data acquisition unit and is used to set the initial temperature in the cold chain compartment according to the ideal storage temperature.

[0105] Specifically, the type of the object to be transported loaded in the carriage is identified through image acquisition technology. Once the type of the object to be transported is accurately identified, the data acquisition unit will further access the database, which stores the preservation management data of different types of objects to be transported, including but not limited to the optimal storage temperature range, preservation time and other key information. The data system can obtain the preservation conditions required for specific foods. The temperature setting unit receives the ideal storage temperature in the preservation management data of the object to be transported from the data acquisition unit to obtain the initial temperature value that meets the preservation requirements of the object to be transported (frozen goods), and sends the initial temperature value to the temperature control system in the carriage to perform the initial temperature setting operation.

[0106] Specifically, by accurately identifying the types of objects to be transported (frozen goods) and obtaining their preservation management data, and intelligently calculating the initial temperature based on the current ambient temperature, it is possible to provide more accurate and appropriate storage temperatures for different types of objects to be transported (frozen goods), thereby significantly improving the preservation effect of the objects to be transported and extending their shelf life. The application of intelligent algorithms makes the temperature setting more reasonable, avoiding energy waste caused by improper temperature settings in traditional methods.

[0107] See also Figure 4 ,like Figure 4 As shown, a remote monitoring module 50 is also included to determine the real-time distance to the destination during transportation and to provide information prompts based on the real-time distance, including:

[0108] an actual distance calculation unit 51 for calculating the actual distance between the current position of the vehicle and the destination using a geographic information system;

[0109] The information sending unit 52 is connected to the actual distance calculation unit, and is used for automatically triggering the remote monitoring to send information to the destination terminal when the actual distance is within a preset distance range.

[0110] Specifically, when the actual distance enters the preset range (such as within 5 kilometers from the destination), the remote monitoring module will automatically trigger an information sending action, which will notify the vehicle of the estimated arrival time and the amount of cargo carried.

[0111] Specifically, automatically sending information when the vehicle approaches the destination can help to quickly locate the vehicle in an emergency. Accurate distance information can provide timely rescue, which can effectively reduce safety hazards caused by long waiting time or failure to respond in time.

[0112] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent remote temperature control cold chain transportation system, characterized in that: include: An initial temperature setting module is used to set the initial temperature in the cold chain compartment according to the object to be transported; a temperature curve determination module, connected to the initial temperature setting module, dividing the expected transportation time into a number of thawing periods, and determining a thawing temperature curve according to the number of thawing periods, the initial temperature and the target temperature; A temperature adjustment module, connected to the temperature adjustment module, for determining a heat exchange rate based on a temperature difference between the inside and outside of the cold chain compartment and a driving speed, and for adjusting the temperature inside the cold chain compartment based on the heat exchange rate and the thawing temperature curve. The temperature adjustment module is also used to monitor energy consumption data at temperatures corresponding to different driving speeds during the temperature adjustment process, so as to achieve minimum energy consumption within the range of the thawing temperature curve; The early warning module is connected to the temperature adjustment module and the temperature curve determination module, and monitors the real-time temperature in the vehicle compartment according to the temperature monitoring device to ensure that the temperature is always controlled within a preset range, and issues an alarm when the temperature deviates from the preset range.

2. The intelligent remote temperature control cold chain transportation system according to claim 1 is characterized in that: The temperature curve determination module comprises: A time period division unit, which divides the estimated transportation time into a plurality of thawing periods according to the temperatures corresponding to different thawing periods in the fresh-keeping management data of the object to be transported; The curve generating unit is connected to the time period dividing unit and is used for inputting the initial temperature, the target temperature and the plurality of thawing time periods into a mathematical model to generate a thawing temperature curve.

3. The intelligent remote temperature control cold chain transportation system according to claim 2 is characterized in that: The temperature regulating module comprises: A temperature difference acquisition unit is used to obtain the temperature inside and outside the cold chain compartment in real time using a temperature sensor, and calculate the temperature difference based on the temperature inside and outside the cold chain compartment; A driving speed acquisition unit, used to acquire the driving speed of the vehicle in real time through a GPS system; a heat exchange rate determination unit, connected to the speed difference acquisition unit and the driving speed acquisition unit, respectively, for analyzing the temperature difference based on the driving speed to determine the heat exchange rate; a temperature regulating unit connected to the heat exchange rate determining unit, for adjusting the temperature in the cold chain compartment according to the thawing temperature curve based on the real-time heat exchange rate and the driving speed; The energy consumption regulation unit is used to monitor the energy consumption of the refrigeration equipment during the temperature adjustment process, analyze the energy consumption data at temperatures corresponding to different driving speeds, and continuously optimize the temperature adjustment according to the analysis results to minimize energy consumption while ensuring that it is within the range of the thawing temperature curve.

4. The intelligent remote temperature control cold chain transportation system according to claim 3 is characterized in that: The heat exchange rate determination unit comprises: An input subunit, for inputting the real-time obtained temperature difference between the inside and outside of the vehicle compartment, the driving speed, and the material properties of the vehicle compartment into a pre-established mathematical model, wherein the mathematical model is constructed based on the principles of heat transfer and fluid mechanics; The calculation subunit is connected to the input subunit and is used to calculate the heat exchange rate of the driving speed under the current conditions through a mathematical model.

5. The intelligent remote temperature control cold chain transportation system according to claim 4 is characterized in that: The temperature regulating unit comprises: The control strategy acquisition subunit is used to calculate the temperature deviation between the actual temperature in the cabin and the thawing temperature curve, and analyze it in combination with the real-time heat exchange rate and driving speed to obtain a control strategy that can compensate for the influence of the heat exchange rate and driving speed on the temperature in the cabin; The regulating subunit is connected to the input subunit and is used to adjust the refrigeration equipment according to the real-time heat exchange rate and the driving speed using the control strategy to ensure that the temperature in the vehicle compartment always follows the thawing temperature curve.

6. The intelligent remote temperature control cold chain transportation system according to claim 5, characterized in that: The energy consumption adjustment unit comprises: A data analysis subunit, for analyzing energy consumption data at different driving speeds and corresponding temperatures by using a statistical analysis method to determine a key factor affecting energy consumption, wherein the key factor is driving speed; A temperature optimization subunit is connected to the data analysis unit and is used to optimize the temperature setting according to the key factors.

7. The intelligent remote temperature controlled cold chain transportation system according to claim 6, characterized in that: The temperature optimization subunit sets the temperature control accuracy requirement under the premise of ensuring the thawing temperature curve, formulates the energy consumption data under different speed ranges according to the changing trend of the driving speed, and thus selects the driving speed corresponding to the minimum energy consumption.

8. The intelligent remote temperature controlled cold chain transportation system according to claim 7, characterized in that: The early warning module comprises: The temperature collection unit is used to collect the ambient temperature of the cold chain compartment in real time using a temperature sensor; The early warning unit is connected to the temperature collection unit and is used to issue an alarm to the driver through a voice prompt when the ambient temperature deviates from a preset thawing temperature curve range.

9. The intelligent remote temperature controlled cold chain transportation system according to claim 8, characterized in that: The initial temperature setting module comprises: A data acquisition unit, used to identify the object to be transported according to the image acquisition technology, so as to obtain the fresh-keeping management data of the object to be transported, and determine the ideal storage temperature based on the fresh-keeping management data; A temperature setting unit is connected to the data acquisition unit and is used to set the initial temperature in the cold chain compartment according to the ideal storage temperature.

10. The intelligent remote temperature controlled cold chain transportation system according to claim 9, characterized in that: It also includes a remote monitoring module to determine the real-time distance to the destination during transportation and provide information prompts based on the real-time distance, including: an actual distance calculation unit for calculating the actual distance between the vehicle's current position and the destination using a geographic information system; The information sending unit is connected to the actual distance calculation unit, and is used for automatically triggering the remote monitoring to send information to the destination terminal when the actual distance is within a preset distance range.

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