Logistics vehicle-mounted application method and system and medium
By calculating the operating compliance evaluation index of the logistics vehicle and applying Star Flash technology, the shortcomings of traditional logistics vehicle on-board systems in terms of data interaction and equipment connection are solved, and efficient and safe transportation of logistics vehicles are achieved.
Patent Information
- Application Number
- CN202510423026.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-07
- Publication Date
- 2025-05-06
AI Technical Summary
Traditional logistics vehicle on-board systems have problems such as low transmission rate, poor connection stability, insufficient positioning accuracy and inability to ensure the fast and reliable transmission of massive data in terms of data interaction and equipment connection, which affects logistics efficiency and cargo safety.
By calculating the vehicle operating condition evaluation index and the car compliance evaluation index of the logistics vehicle, the operation compliance evaluation index of the logistics vehicle is further processed and the operating status of the logistics vehicle is obtained through threshold comparison, and the transportation time is determined based on the scheduling command information, the best rescue center is determined based on the emergency command information, and the car door opening and closing status is determined through the Hall sensor, and the Star Flash technology is used to improve the efficiency and safety of the logistics vehicle on-board system.
It realizes accurate determination of the operating status of the logistics vehicle, determination of the transportation time limit, determination of the emergency rescue center, and monitoring of the opening and closing status of the car door, improving logistics efficiency and safety.
Smart Images

Figure CN119928755A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of on-board systems for logistics vehicles, and more specifically, to an on-board application method, system and medium for logistics vehicles. Background Art
[0002] Traditional logistics vehicle onboard systems mainly rely on wireless technologies such as Bluetooth and Wi-Fi for data interaction and device connection. However, Bluetooth technology has a low transmission rate, takes a long time to transmit large amounts of data, has poor connection stability, and is easily interfered by the surrounding environment, resulting in data transmission interruptions or errors. When faced with multiple devices connected concurrently, the performance of Wi-Fi technology will drop significantly, and it cannot meet the needs of stable simultaneous connections for many devices in logistics vehicles. The positioning accuracy of Bluetooth and Wi-Fi is far from meeting the requirements of precise logistics distribution. For example, in complex urban environments, it is difficult to accurately determine the location of the vehicle, affecting distribution efficiency and accuracy. In addition, during transportation, logistics vehicles need to monitor massive amounts of data such as cargo status and vehicle operating conditions in real time. Due to the limitations of transmission speed and reliability, traditional technologies cannot guarantee the fast and reliable transmission of this data, which not only reduces logistics efficiency, but also poses a threat to the safe transportation of goods, such as the inability to promptly detect the risk of cargo deterioration and hidden dangers of vehicle failure.
[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention
[0004] The purpose of the present application is to provide an on-board application method, system and medium for a logistics vehicle, which can calculate the vehicle condition evaluation index and the compartment compliance evaluation index of the logistics vehicle, further process and obtain the operation compliance evaluation index of the logistics vehicle, obtain the operation status of the logistics vehicle through threshold comparison, and determine the transportation timeliness according to the dispatch instruction information, determine the best rescue center according to the emergency instruction information, and determine the opening and closing status of the compartment door through the Hall sensor, thereby realizing the application of Star Flash technology on-board the logistics vehicle and improving logistics efficiency and safety.
[0005] The present application also provides a logistics vehicle on-board application method, comprising the following steps: Obtain vehicle operation data and carriage operation data through the Xingshan terminal; Processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; Processing is performed according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
[0006] Optionally, in the on-board application method for a logistics vehicle described in the present application, the processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the compartment operation data to obtain the compartment compliance evaluation index include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
[0007] Optionally, in the on-board application method for a logistics vehicle described in the present application, the processing according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain the operation compliance evaluation index of the logistics vehicle includes: Comparing the vehicle operating condition evaluation index with a preset vehicle operating condition benchmark index to obtain an operating condition stability deviation rate; Comparing the carriage compliance evaluation index with a preset carriage operation demand index to obtain a carriage compliance deviation rate; The operation compliance evaluation index of the logistics vehicle is obtained by processing according to the working condition stability deviation rate and the carriage compliance deviation rate.
[0008] Optionally, in the on-board application method of the logistics vehicle described in the present application, the step of comparing the operation compliance evaluation index with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle includes: Comparing the operation compliance evaluation index with a preset operation compliance benchmark index to obtain an operation compliance relative value; Compare the relative value of the operational compliance with a preset operational evaluation threshold to obtain the operational status of the logistics vehicle; If the relative value of the operation compliance is less than or equal to the preset operation evaluation threshold, the operation state of the logistics vehicle is determined to be abnormal; If the relative value of the operation compliance is greater than a preset operation evaluation threshold, the operation status of the logistics vehicle is determined to be normal.
[0009] Optionally, the logistics vehicle on-board application method described in the present application further includes: Obtain real-time trajectory data and real-time speed of logistics vehicles; Obtain the dispatch instruction information of the logistics vehicle, and extract the destination location data and time efficiency demand data according to the dispatch instruction information; Processing the real-time trajectory data and the destination location data in combination with the real-time vehicle speed to obtain predicted timeliness data; If the predicted timeliness data is less than or equal to the timeliness demand data, no warning is output; If the predicted timeliness data is greater than the timeliness requirement data, an insufficient timeliness warning is output.
[0010] Optionally, the logistics vehicle on-board application method described in the present application further includes: Obtain emergency command information and corresponding logistics vehicle location data; Processing the logistics vehicle location data in combination with the preset emergency rescue center location data to obtain distance data between the logistics vehicle and the preset emergency rescue center; Sort the distance data from small to large to obtain a list of emergency rescue centers; The emergency instruction information and logistics vehicle location data are sent to the emergency rescue center with the smallest distance data for display.
[0011] Optionally, the logistics vehicle on-board application method described in the present application further includes: Get real-time Hall voltage; Comparing the real-time Hall voltage with a preset reference Hall voltage to obtain a Hall voltage deviation rate; Comparing the Hall voltage deviation rate with a preset Hall voltage deviation threshold to obtain the door opening and closing state; If the Hall voltage deviation rate is less than or equal to a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door closed; If the Hall voltage deviation rate is greater than a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and a warning response is output.
[0012] In a second aspect, the present application provides a logistics vehicle on-board application system, the system comprising: a memory and a processor, the memory comprising a program of a logistics vehicle on-board application method, the program of the logistics vehicle on-board application method being executed by the processor to implement the following steps: Obtain vehicle operation data and carriage operation data through the Xingshan terminal; Processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; Processing is performed according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
[0013] Optionally, in a logistics vehicle on-board application system described in the present application, the processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the compartment operation data to obtain the compartment compliance evaluation index include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
[0014] In a third aspect, the present application also provides a computer-readable storage medium, which stores a logistics vehicle on-board application method program. When the logistics vehicle on-board application method program is executed by a processor, the steps of the logistics vehicle on-board application method as described in any one of the above items are implemented.
[0015] From the above, it can be seen that the present application provides a logistics vehicle on-board application method, system and medium, which calculates the vehicle condition evaluation index and the carriage compliance evaluation index of the logistics vehicle, further processes to obtain the operation compliance evaluation index of the logistics vehicle, and obtains the operation status of the logistics vehicle through threshold comparison. It also determines the transportation timeliness according to the dispatch instruction information, determines the best rescue center according to the emergency instruction information, and determines the opening and closing status of the carriage door through the Hall sensor, thereby realizing the application of Star Flash technology to the logistics vehicle, improving logistics efficiency and safety.
[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0018] Figure 1 A flow chart of a logistics vehicle on-board application method provided in an embodiment of the present application; Figure 2A flow chart of obtaining an operation compliance evaluation index of a logistics vehicle in a logistics vehicle on-board application method provided in an embodiment of the present application; Figure 3 A flowchart of a logistics vehicle operating status obtaining method provided by an on-board application of a logistics vehicle in an embodiment of the present application. DETAILED DESCRIPTION
[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.
[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.
[0021] Please refer to Figure 1 , Figure 1 This is a flow chart of a logistics vehicle on-board application method in some embodiments of the present application. The logistics vehicle on-board application method is used in a terminal device, such as a computer, a mobile phone terminal, etc. The logistics vehicle on-board application method includes the following steps: S11. Obtain vehicle operation data and carriage operation data through the Xingshan terminal; S12, processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; S13, processing the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; S14: perform a threshold comparison between the operation compliance evaluation index and a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
[0022] It should be noted that during the transportation process, logistics vehicles should monitor the vehicle condition and the status of the goods in the carriage in real time. The present invention utilizes the low latency, high transmission rate, high concurrency and high-precision positioning advantages of Star Flash technology to improve logistics efficiency and safety. First, the vehicle operation data and carriage operation data of the logistics vehicle are obtained through the Star Flash terminal device installed on the logistics vehicle and including a variety of sensing sensors. The data are processed separately to obtain the vehicle condition evaluation index and the carriage compliance evaluation index, which respectively represent the operating conditions of the vehicle and the carriage. Then, further processing is performed to obtain the operation compliance evaluation index of the logistics vehicle. Finally, the operating status of the logistics vehicle is accurately determined through threshold comparison.
[0023] According to an embodiment of the present invention, the processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the compartment operation data to obtain the compartment compliance evaluation index include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
[0024] It should be noted that the corresponding parameter data is obtained through the preset sensors, the tire pressure deviation rate refers to the ratio of the absolute value of the difference between the real-time tire pressure and the preset benchmark tire pressure to the preset benchmark tire pressure, the water temperature deviation rate refers to the ratio of the absolute value of the difference between the real-time water temperature and the preset benchmark water temperature to the preset benchmark water temperature, the vehicle speed deviation rate refers to the absolute value of the difference between the real-time vehicle speed and the preset speed limit of the corresponding road section to the preset speed limit, the fuel consumption fluctuation rate refers to the absolute value of the difference between the average fuel consumption in a preset time period and the preset fuel consumption benchmark value and the preset fuel consumption benchmark value. According to the tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate, weighted summation is performed to obtain the vehicle operating condition evaluation index, and the corresponding weight value is obtained by querying the preset logistics and transportation monitoring platform; the real-time temperature difference refers to the temperature difference between the compartment The real-time humidity difference refers to the absolute value of the difference between the real-time average temperature in the compartment and the preset required temperature. The real-time humidity difference refers to the absolute value of the difference between the real-time average humidity in the compartment and the preset required humidity. The gas sensor is used to detect the gas composition in the compartment and promptly discover the leakage of harmful gases or signs of deterioration that may be produced by the goods. For example, for food or pharmaceutical goods, during transportation, the goods themselves may volatilize harmful gases due to packaging damage and temperature changes. For example, some foods will produce hydrogen sulfide and ammonia gases when they deteriorate. The gas content difference refers to the absolute value of the difference between the obtained real-time gas content and the preset gas baseline. The weighted summation processing is performed based on the obtained real-time temperature difference, real-time humidity difference and gas content difference to obtain the compartment compliance evaluation index. The corresponding weight value is obtained by querying the preset logistics and transportation monitoring platform.
[0025] Please refer to Figure 2 , Figure 2 The present invention is a flow chart of a method for obtaining an operation compliance evaluation index of a logistics vehicle in a logistics vehicle on-board application in some embodiments of the present application. According to an embodiment of the present invention, the operation compliance evaluation index of the logistics vehicle is obtained by processing the vehicle operating condition evaluation index and the carriage compliance evaluation index, including: S21, comparing the vehicle operating condition evaluation index with a preset vehicle operating condition reference index to obtain an operating condition stability deviation rate; S22, comparing the carriage compliance evaluation index with a preset carriage operation demand index to obtain a carriage compliance deviation rate; S23. Processing is performed according to the working condition stability deviation rate and the carriage compliance deviation rate to obtain an operation compliance evaluation index of the logistics vehicle.
[0026] It should be noted that in order to evaluate the overall operation of the logistics vehicle according to the vehicle working condition and the compliance of the carriage, the obtained vehicle working condition evaluation index and the carriage compliance evaluation index are first compared with the preset vehicle working condition benchmark index and the preset carriage operation demand index respectively to obtain the working condition stability deviation rate and the carriage compliance deviation rate, wherein the working condition stability deviation rate refers to the ratio of the difference between the vehicle working condition evaluation index and the preset vehicle working condition benchmark index to the preset vehicle working condition benchmark index. For example, the vehicle working condition evaluation index is 7, and the preset vehicle working condition benchmark index is 10, (10-7) / 10=0.3 is the working condition stability deviation rate, and the carriage compliance deviation rate refers to the ratio of the difference between the carriage compliance evaluation index and the preset carriage operation demand index to the preset carriage operation demand index. Then, the obtained working condition stability deviation rate and carriage compliance deviation rate are processed to obtain the operation compliance evaluation index of the logistics vehicle; The calculation formula of the operation compliance evaluation index is: ; in, To run the compliance assessment index, , They are the working condition stability deviation rate and the carriage compliance deviation rate, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset logistics and transportation monitoring platform).
[0027] Please refer to Figure 3 , Figure 3 The flowchart of a method for obtaining the operation status of a logistics vehicle in a logistics vehicle on-board application in some embodiments of the present application is as follows. According to an embodiment of the present invention, the operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle, including: S31, comparing the operation compliance evaluation index with a preset operation compliance benchmark index to obtain an operation compliance relative value; S32, comparing the relative value of the operation compliance with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle; S33. If the relative value of the operation compliance is less than or equal to the preset operation evaluation threshold, the operation state of the logistics vehicle is determined to be an abnormal state; S34. If the relative value of the operation compliance is greater than a preset operation evaluation threshold, the operation status of the logistics vehicle is determined to be normal.
[0028] It should be noted that in order to determine the operating status of the logistics vehicle, the obtained operating compliance evaluation index is compared with the preset operating compliance benchmark index to obtain the relative value of the operating compliance. For example, the operating compliance evaluation index is 7, and the preset operating compliance benchmark index is 10, then 7 / 10=0.7 is the relative value of the operating compliance, and then the threshold is compared with the preset operating evaluation threshold to obtain the operating status of the logistics vehicle. In this embodiment, the preset operating evaluation threshold is set to (0, 0.85], (0.85, 1], corresponding to the abnormal state and the normal state, respectively. For example, if the obtained relative value of the operating compliance is 0.7, which is less than the preset operating evaluation threshold, the operating status of the logistics vehicle is determined to be an abnormal state. If the obtained relative value of the operating compliance is 0.9, which is greater than the preset operating evaluation threshold, the operating status of the logistics vehicle is determined to be a normal state.
[0029] According to an embodiment of the present invention, it also includes: Obtain real-time trajectory data and real-time speed of logistics vehicles; Obtain the dispatch instruction information of the logistics vehicle, and extract the destination location data and time efficiency demand data according to the dispatch instruction information; Processing the real-time trajectory data and the destination location data in combination with the real-time vehicle speed to obtain predicted timeliness data; If the predicted timeliness data is less than or equal to the timeliness demand data, no warning is output; If the predicted timeliness data is greater than the timeliness requirement data, an insufficient timeliness warning is output.
[0030] It should be noted that when a logistics vehicle receives a dispatch instruction to temporarily change the delivery address or adjust the delivery route during the transportation process, it is necessary to obtain the transportation distance based on the real-time trajectory data and destination location data, and then divide it by the real-time vehicle speed to obtain the predicted timeliness data, and further determine whether the predicted timeliness data can meet the requirements to avoid delays. If it is determined that the timeliness is insufficient, an early warning reminder will be output in a timely manner.
[0031] According to an embodiment of the present invention, it also includes: Obtain emergency command information and corresponding logistics vehicle location data; Processing the logistics vehicle location data in combination with the preset emergency rescue center location data to obtain distance data between the logistics vehicle and the preset emergency rescue center; Sort the distance data from small to large to obtain a list of emergency rescue centers; The emergency instruction information and logistics vehicle location data are sent to the emergency rescue center with the smallest distance data for display.
[0032] It should be noted that in order to provide timely rescue after an accident or failure of a logistics vehicle and to ensure the efficiency and safety of transportation, the logistics center needs to determine the nearest rescue center based on the real-time location of the logistics vehicle after receiving the emergency command issued by the logistics vehicle, and send the emergency command information including the failure or accident to the determined rescue center for display, so as to facilitate more targeted rescue.
[0033] According to an embodiment of the present invention, it also includes: Get real-time Hall voltage; Comparing the real-time Hall voltage with a preset reference Hall voltage to obtain a Hall voltage deviation rate; Comparing the Hall voltage deviation rate with a preset Hall voltage deviation threshold to obtain the door opening and closing state; If the Hall voltage deviation rate is less than or equal to a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door closed; If the Hall voltage deviation rate is greater than a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and a warning response is output.
[0034] It should be noted that during the transportation process, if the door of the logistics vehicle is abnormally opened, it will cause the loss or damage of the goods or change the transportation environment of the compartment. The real-time Hall voltage is obtained by real-time monitoring through the Hall sensors installed on the compartment doors and door frames, and compared with the preset reference Hall voltage to obtain the Hall voltage deviation rate, and then compared with the preset Hall voltage deviation threshold to obtain the door opening and closing state. In this embodiment, the preset Hall voltage deviation threshold is set to (0, 0.05], (0.05, 1], corresponding to the door closed and the door opened, respectively. For example, the real-time Hall voltage obtained is 2.7v, and the preset reference Hall voltage is 2.5v. (2.7-2.5) / 2.5=0.08 is the Hall voltage deviation rate. If it is greater than the preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and an early warning response is output.
[0035] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain real-time load data of logistics vehicles; Comparing the real-time load data with preset load limit data; If the real-time load data is greater than the preset load limit data, the real-time load data and the preset load limit data are processed to obtain the overload rate; Compare the overload rate with a preset overload evaluation threshold to obtain an overload level; If the overload rate is less than or equal to the preset overload assessment threshold, the overload level is determined to be slight overload; If the overload rate is greater than a preset overload assessment threshold, the overload level is determined to be severe overload.
[0036] It should be noted that when the logistics vehicle is loaded with goods, if the overload is not discovered in time and the vehicle leaves the logistics center, it will affect the transportation efficiency, transportation safety or increase the transportation cost. Therefore, the load sensor pre-installed on the chassis of the logistics vehicle is used to monitor the cargo loading situation in real time. When the real-time load data is less than or equal to the preset load limit data, it indicates that there is no overload. If the real-time load data is greater than the preset load limit data, the overload rate is further calculated. For example, if the real-time load data is 11 tons and the preset load limit data is 10 tons, then (11-10) / 10=0.1 is the overload rate. Finally, the obtained overload rate is compared with the preset overload evaluation threshold to obtain the overload level. In this embodiment, the preset overload evaluation threshold is 0.1. For example, if the obtained overload rate is 0.05, which is less than the preset overload evaluation threshold, the overload level is determined to be slightly overloaded. If the obtained overload rate is 0.15, which is greater than the preset overload evaluation threshold, the overload level is determined to be severely overloaded.
[0037] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain communication data between logistics vehicles and base stations in different driving scenarios, including real-time signal strength data, real-time data transmission rate, and communication stability data; Processing the real-time signal strength data, the real-time data transmission rate, and the communication stability data to obtain a first communication quality evaluation index corresponding to the driving scenario; Performing weighted sum processing on the first communication quality evaluation index to obtain a second communication quality evaluation index; Comparing the second communication quality evaluation index with a preset communication quality requirement index to obtain a communication quality evaluation relative value; Compare the communication quality evaluation relative value with the preset communication stability threshold to obtain the communication connection status; If the communication quality evaluation relative value is less than or equal to the preset communication stability threshold, the communication connection state is determined to be communication unqualified; If the communication quality evaluation relative value is greater than a preset communication stability threshold, the communication connection state is determined to be communication qualified.
[0038] It should be noted that the present invention adopts the Star Flash technology for data interaction processing. The transmission quality of data transmission directly affects the accuracy, timeliness and stability of data interaction. The logistics vehicle will pass through different driving scenarios such as urban roads, highways, mountainous areas and logistics parks during transportation. Therefore, it is necessary to test the communication quality between the logistics vehicle and the logistics base station in different driving scenarios, and calculate and obtain the first communication quality evaluation index in each driving scenario; The calculation formula of the first communication quality evaluation index is: ; in, It is the first communication quality evaluation index. , , They are real-time signal strength data, real-time data transmission rate and communication stability data. , , is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset logistics and transportation monitoring platform); The obtained first communication quality evaluation index is then weighted and summed to obtain a second communication quality evaluation index. The corresponding weight values corresponding to different scenarios are obtained by querying the preset logistics and transportation monitoring platform, and compared with the preset communication quality requirement index to obtain a communication quality evaluation relative value. For example, the second communication quality evaluation index is 8, and the preset communication quality requirement index is 10, then 8 / 10=0.8 is the communication quality evaluation relative value. Finally, the threshold is compared with the preset communication stability threshold to obtain the communication connection state. In this embodiment, the preset communication stability threshold is set to (0, 0.9], (0.9, 1], which respectively correspond to communication failure and communication qualification. For example, if the obtained communication quality evaluation relative value is 0.8, which is less than the preset communication stability threshold, the communication connection state is determined to be communication failure. If the obtained communication quality evaluation relative value is 0.95, which is greater than the preset communication stability threshold, the communication connection state is determined to be communication qualification.
[0039] The present invention also discloses a logistics vehicle on-board application system, including a memory and a processor, wherein the memory includes a logistics vehicle on-board application method program, and when the logistics vehicle on-board application method program is executed by the processor, the following steps are implemented: Obtain vehicle operation data and carriage operation data through the Xingshan terminal; Processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; Processing is performed according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
[0040] It should be noted that during the transportation process, logistics vehicles should monitor the vehicle condition and the status of the goods in the carriage in real time. The present invention utilizes the low latency, high transmission rate, high concurrency and high-precision positioning advantages of Star Flash technology to improve logistics efficiency and safety. First, the vehicle operation data and carriage operation data of the logistics vehicle are obtained through the Star Flash terminal device installed on the logistics vehicle and including a variety of sensing sensors. The data are processed separately to obtain the vehicle condition evaluation index and the carriage compliance evaluation index, which respectively represent the operating conditions of the vehicle and the carriage. Then, further processing is performed to obtain the operation compliance evaluation index of the logistics vehicle. Finally, the operating status of the logistics vehicle is accurately determined through threshold comparison.
[0041] According to an embodiment of the present invention, the processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the compartment operation data to obtain the compartment compliance evaluation index include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
[0042] It should be noted that the corresponding parameter data is obtained through the preset sensors, the tire pressure deviation rate refers to the ratio of the absolute value of the difference between the real-time tire pressure and the preset benchmark tire pressure to the preset benchmark tire pressure, the water temperature deviation rate refers to the ratio of the absolute value of the difference between the real-time water temperature and the preset benchmark water temperature to the preset benchmark water temperature, the vehicle speed deviation rate refers to the absolute value of the difference between the real-time vehicle speed and the preset speed limit of the corresponding road section to the preset speed limit, the fuel consumption fluctuation rate refers to the absolute value of the difference between the average fuel consumption in a preset time period and the preset fuel consumption benchmark value and the preset fuel consumption benchmark value. According to the tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate, weighted summation is performed to obtain the vehicle operating condition evaluation index, and the corresponding weight value is obtained by querying the preset logistics and transportation monitoring platform; the real-time temperature difference refers to the temperature difference between the compartment The real-time humidity difference refers to the absolute value of the difference between the real-time average temperature in the compartment and the preset required temperature. The real-time humidity difference refers to the absolute value of the difference between the real-time average humidity in the compartment and the preset required humidity. The gas sensor is used to detect the gas composition in the compartment and promptly discover the leakage of harmful gases or signs of deterioration that may be produced by the goods. For example, for food or pharmaceutical goods, during transportation, the goods themselves may volatilize harmful gases due to packaging damage and temperature changes. For example, some foods will produce hydrogen sulfide and ammonia gases when they deteriorate. The gas content difference refers to the absolute value of the difference between the obtained real-time gas content and the preset gas baseline. The weighted summation processing is performed based on the obtained real-time temperature difference, real-time humidity difference and gas content difference to obtain the compartment compliance evaluation index. The corresponding weight value is obtained by querying the preset logistics and transportation monitoring platform.
[0043] According to an embodiment of the present invention, the processing according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain the operation compliance evaluation index of the logistics vehicle includes: Comparing the vehicle operating condition evaluation index with a preset vehicle operating condition benchmark index to obtain an operating condition stability deviation rate; Comparing the carriage compliance evaluation index with a preset carriage operation demand index to obtain a carriage compliance deviation rate; The operation compliance evaluation index of the logistics vehicle is obtained by processing according to the working condition stability deviation rate and the carriage compliance deviation rate.
[0044] It should be noted that in order to evaluate the overall operation of the logistics vehicle according to the vehicle working condition and the compliance of the carriage, the obtained vehicle working condition evaluation index and the carriage compliance evaluation index are first compared with the preset vehicle working condition benchmark index and the preset carriage operation demand index respectively to obtain the working condition stability deviation rate and the carriage compliance deviation rate, wherein the working condition stability deviation rate refers to the ratio of the difference between the vehicle working condition evaluation index and the preset vehicle working condition benchmark index to the preset vehicle working condition benchmark index. For example, the vehicle working condition evaluation index is 7, and the preset vehicle working condition benchmark index is 10, (10-7) / 10=0.3 is the working condition stability deviation rate, and the carriage compliance deviation rate refers to the ratio of the difference between the carriage compliance evaluation index and the preset carriage operation demand index to the preset carriage operation demand index. Then, the obtained working condition stability deviation rate and carriage compliance deviation rate are processed to obtain the operation compliance evaluation index of the logistics vehicle; The calculation formula of the operation compliance evaluation index is: ; in, To run the compliance assessment index, , They are the working condition stability deviation rate and the carriage compliance deviation rate, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset logistics and transportation monitoring platform).
[0045] According to an embodiment of the present invention, the step of comparing the operation compliance evaluation index with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle includes: Comparing the operation compliance evaluation index with a preset operation compliance benchmark index to obtain an operation compliance relative value; Compare the relative value of the operational compliance with a preset operational evaluation threshold to obtain the operational status of the logistics vehicle; If the relative value of the operation compliance is less than or equal to the preset operation evaluation threshold, the operation state of the logistics vehicle is determined to be an abnormal state; If the relative value of the operation compliance is greater than a preset operation evaluation threshold, the operation status of the logistics vehicle is determined to be normal.
[0046] It should be noted that in order to determine the operating status of the logistics vehicle, the obtained operating compliance evaluation index is compared with the preset operating compliance benchmark index to obtain the relative value of the operating compliance. For example, the operating compliance evaluation index is 7, and the preset operating compliance benchmark index is 10, then 7 / 10=0.7 is the relative value of the operating compliance, and then the threshold is compared with the preset operating evaluation threshold to obtain the operating status of the logistics vehicle. In this embodiment, the preset operating evaluation threshold is set to (0, 0.85], (0.85, 1], corresponding to the abnormal state and the normal state, respectively. For example, if the obtained relative value of the operating compliance is 0.7, which is less than the preset operating evaluation threshold, the operating status of the logistics vehicle is determined to be an abnormal state. If the obtained relative value of the operating compliance is 0.9, which is greater than the preset operating evaluation threshold, the operating status of the logistics vehicle is determined to be a normal state.
[0047] According to an embodiment of the present invention, it also includes: Obtain real-time trajectory data and real-time speed of logistics vehicles; Obtain the dispatch instruction information of the logistics vehicle, and extract the destination location data and time efficiency demand data according to the dispatch instruction information; Processing the real-time trajectory data and the destination location data in combination with the real-time vehicle speed to obtain predicted timeliness data; If the predicted timeliness data is less than or equal to the timeliness demand data, no warning is output; If the predicted timeliness data is greater than the timeliness requirement data, an insufficient timeliness warning is output.
[0048] It should be noted that when a logistics vehicle receives a dispatch instruction to temporarily change the delivery address or adjust the delivery route during the transportation process, it is necessary to obtain the transportation distance based on the real-time trajectory data and destination location data, and then divide it by the real-time vehicle speed to obtain the predicted timeliness data, and further determine whether the predicted timeliness data can meet the requirements to avoid delays. If it is determined that the timeliness is insufficient, an early warning reminder will be output in a timely manner.
[0049] According to an embodiment of the present invention, it also includes: Obtain emergency command information and corresponding logistics vehicle location data; Processing the logistics vehicle location data in combination with the preset emergency rescue center location data to obtain distance data between the logistics vehicle and the preset emergency rescue center; Sort the distance data from small to large to obtain a list of emergency rescue centers; The emergency instruction information and logistics vehicle location data are sent to the emergency rescue center with the smallest distance data for display.
[0050] It should be noted that in order to provide timely rescue after an accident or failure of a logistics vehicle and to ensure the efficiency and safety of transportation, the logistics center needs to determine the nearest rescue center based on the real-time location of the logistics vehicle after receiving the emergency command issued by the logistics vehicle, and send the emergency command information including the failure or accident to the determined rescue center for display, so as to facilitate more targeted rescue.
[0051] According to an embodiment of the present invention, it also includes: Get real-time Hall voltage; Comparing the real-time Hall voltage with a preset reference Hall voltage to obtain a Hall voltage deviation rate; Comparing the Hall voltage deviation rate with a preset Hall voltage deviation threshold to obtain the door opening and closing state; If the Hall voltage deviation rate is less than or equal to a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door closed; If the Hall voltage deviation rate is greater than a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and a warning response is output.
[0052] It should be noted that during the transportation process, if the door of the logistics vehicle is abnormally opened, it will cause the loss or damage of the goods or change the transportation environment of the compartment. The real-time Hall voltage is obtained by real-time monitoring through the Hall sensors installed on the compartment doors and door frames, and compared with the preset reference Hall voltage to obtain the Hall voltage deviation rate, and then compared with the preset Hall voltage deviation threshold to obtain the door opening and closing state. In this embodiment, the preset Hall voltage deviation threshold is set to (0, 0.05], (0.05, 1], corresponding to the door closed and the door opened, respectively. For example, the real-time Hall voltage obtained is 2.7v, and the preset reference Hall voltage is 2.5v. (2.7-2.5) / 2.5=0.08 is the Hall voltage deviation rate. If it is greater than the preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and an early warning response is output.
[0053] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain real-time load data of logistics vehicles; Comparing the real-time load data with preset load limit data; If the real-time load data is greater than the preset load limit data, the real-time load data and the preset load limit data are processed to obtain the overload rate; Compare the overload rate with a preset overload evaluation threshold to obtain an overload level; If the overload rate is less than or equal to the preset overload assessment threshold, the overload level is determined to be slight overload; If the overload rate is greater than a preset overload assessment threshold, the overload level is determined to be severe overload.
[0054] It should be noted that when the logistics vehicle is loaded with goods, if the overload is not discovered in time and the vehicle leaves the logistics center, it will affect the transportation efficiency, transportation safety or increase the transportation cost. Therefore, the load sensor pre-installed on the chassis of the logistics vehicle is used to monitor the cargo loading situation in real time. When the real-time load data is less than or equal to the preset load limit data, it indicates that there is no overload. If the real-time load data is greater than the preset load limit data, the overload rate is further calculated. For example, if the real-time load data is 11 tons and the preset load limit data is 10 tons, then (11-10) / 10=0.1 is the overload rate. Finally, the obtained overload rate is compared with the preset overload evaluation threshold to obtain the overload level. In this embodiment, the preset overload evaluation threshold is 0.1. For example, if the obtained overload rate is 0.05, which is less than the preset overload evaluation threshold, the overload level is determined to be slightly overloaded. If the obtained overload rate is 0.15, which is greater than the preset overload evaluation threshold, the overload level is determined to be severely overloaded.
[0055] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain communication data between logistics vehicles and base stations in different driving scenarios, including real-time signal strength data, real-time data transmission rate, and communication stability data; Processing the real-time signal strength data, the real-time data transmission rate, and the communication stability data to obtain a first communication quality evaluation index corresponding to the driving scenario; Performing weighted sum processing on the first communication quality evaluation index to obtain a second communication quality evaluation index; Comparing the second communication quality evaluation index with a preset communication quality requirement index to obtain a communication quality evaluation relative value; Compare the communication quality evaluation relative value with the preset communication stability threshold to obtain the communication connection status; If the communication quality evaluation relative value is less than or equal to the preset communication stability threshold, the communication connection state is determined to be communication unqualified; If the communication quality evaluation relative value is greater than a preset communication stability threshold, the communication connection state is determined to be communication qualified.
[0056] It should be noted that the present invention adopts the Star Flash technology for data interaction processing. The transmission quality of data transmission directly affects the accuracy, timeliness and stability of data interaction. The logistics vehicle will pass through different driving scenarios such as urban roads, highways, mountainous areas and logistics parks during transportation. Therefore, it is necessary to test the communication quality between the logistics vehicle and the logistics base station in different driving scenarios, and calculate and obtain the first communication quality evaluation index in each driving scenario; The calculation formula of the first communication quality evaluation index is: ; in, It is the first communication quality evaluation index. , , They are real-time signal strength data, real-time data transmission rate and communication stability data. , , is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset logistics and transportation monitoring platform); The obtained first communication quality evaluation index is then weighted and summed to obtain a second communication quality evaluation index. The corresponding weight values corresponding to different scenarios are obtained by querying the preset logistics and transportation monitoring platform, and compared with the preset communication quality requirement index to obtain a communication quality evaluation relative value. For example, the second communication quality evaluation index is 8, and the preset communication quality requirement index is 10, then 8 / 10=0.8 is the communication quality evaluation relative value. Finally, the threshold is compared with the preset communication stability threshold to obtain the communication connection state. In this embodiment, the preset communication stability threshold is set to (0, 0.9], (0.9, 1], which respectively correspond to communication failure and communication qualification. For example, if the obtained communication quality evaluation relative value is 0.8, which is less than the preset communication stability threshold, the communication connection state is determined to be communication failure. If the obtained communication quality evaluation relative value is 0.95, which is greater than the preset communication stability threshold, the communication connection state is determined to be communication qualification.
[0057] A third aspect of the present invention provides a readable storage medium, which stores a logistics vehicle on-board application method program. When the logistics vehicle on-board application method program is executed by a processor, the steps of the logistics vehicle on-board application method as described in any one of the above items are implemented.
[0058] The present invention discloses an on-board application method, system and medium for a logistics vehicle. The method calculates a vehicle operating condition evaluation index and a carriage compliance evaluation index of the logistics vehicle, further processes the method to obtain an operation compliance evaluation index of the logistics vehicle, obtains the operation status of the logistics vehicle through threshold comparison, determines the transportation timeliness according to dispatch instruction information, determines the best rescue center according to emergency instruction information, and determines the opening and closing status of the carriage door through a Hall sensor, thereby realizing the application of the star flash technology on-board the logistics vehicle and improving logistics efficiency and safety.
[0059] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units 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 can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.
[0060] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; 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 present embodiment.
[0061] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0062] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.
[0063] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium 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 methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.
Claims
1. A logistics vehicle on-board application method, characterized in that: The following steps are involved: Obtain vehicle operation data and carriage operation data through the Xingshan terminal; Processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; Processing is performed according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
2. The on-board application method of a logistics vehicle according to claim 1, characterized in that: The processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the carriage operation data to obtain the carriage compliance evaluation index, include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
3. The on-board application method of a logistics vehicle according to claim 2 is characterized in that: The processing according to the vehicle working condition evaluation index and the carriage compliance evaluation index to obtain the operation compliance evaluation index of the logistics vehicle includes: Comparing the vehicle operating condition evaluation index with a preset vehicle operating condition benchmark index to obtain an operating condition stability deviation rate; Comparing the carriage compliance evaluation index with a preset carriage operation demand index to obtain a carriage compliance deviation rate; The operation compliance evaluation index of the logistics vehicle is obtained by processing according to the working condition stability deviation rate and the carriage compliance deviation rate.
4. The on-board application method of a logistics vehicle according to claim 3 is characterized in that: The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle, including: Comparing the operation compliance evaluation index with a preset operation compliance benchmark index to obtain an operation compliance relative value; Compare the relative value of the operational compliance with a preset operational evaluation threshold to obtain the operational status of the logistics vehicle; If the relative value of the operation compliance is less than or equal to the preset operation evaluation threshold, the operation state of the logistics vehicle is determined to be an abnormal state; If the relative value of the operation compliance is greater than a preset operation evaluation threshold, the operation status of the logistics vehicle is determined to be normal.
5. The on-board application method of a logistics vehicle according to claim 4, characterized in that: Also includes: Obtain real-time trajectory data and real-time speed of logistics vehicles; Obtain the dispatch instruction information of the logistics vehicle, and extract the destination location data and time efficiency demand data according to the dispatch instruction information; Processing the real-time trajectory data and the destination location data in combination with the real-time vehicle speed to obtain predicted timeliness data; If the predicted timeliness data is less than or equal to the timeliness demand data, no warning is output; If the predicted timeliness data is greater than the timeliness requirement data, an insufficient timeliness warning is output.
6. The on-board application method of a logistics vehicle according to claim 5, characterized in that: Also includes: Obtain emergency command information and corresponding logistics vehicle location data; Processing the logistics vehicle location data in combination with the preset emergency rescue center location data to obtain distance data between the logistics vehicle and the preset emergency rescue center; Sort the distance data from small to large to obtain a list of emergency rescue centers; The emergency instruction information and logistics vehicle location data are sent to the emergency rescue center with the smallest distance data for display.
7. The on-board application method of a logistics vehicle according to claim 6, characterized in that: Also includes: Get real-time Hall voltage; Comparing the real-time Hall voltage with a preset reference Hall voltage to obtain a Hall voltage deviation rate; Comparing the Hall voltage deviation rate with a preset Hall voltage deviation threshold to obtain the door opening and closing state; If the Hall voltage deviation rate is less than or equal to a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door closed; If the Hall voltage deviation rate is greater than a preset Hall voltage deviation threshold, the door opening and closing state is determined to be the door open, and a warning response is output.
8. A logistics vehicle on-board application system, characterized in that: The system comprises a memory and a processor, wherein the memory comprises a program of a logistics vehicle on-board application method, and when the logistics vehicle on-board application method program is executed by the processor, the following steps are implemented: Obtain vehicle operation data and carriage operation data through the Xingshan terminal; Processing the vehicle operation data to obtain a vehicle operating condition evaluation index, and processing the compartment operation data to obtain a compartment compliance evaluation index; Processing is performed according to the vehicle operating condition evaluation index and the carriage compliance evaluation index to obtain an operation compliance evaluation index of the logistics vehicle; The operation compliance evaluation index is compared with a preset operation evaluation threshold to obtain the operation status of the logistics vehicle.
9. The on-board application system for logistics vehicles according to claim 8, characterized in that: The processing according to the vehicle operation data to obtain the vehicle operating condition evaluation index, and the processing according to the carriage operation data to obtain the carriage compliance evaluation index, include: The vehicle operation data includes tire pressure deviation rate, water temperature deviation rate, vehicle speed deviation rate and fuel consumption fluctuation rate; A weighted summation process is performed according to the tire pressure deviation rate, the water temperature deviation rate, the vehicle speed deviation rate and the fuel consumption fluctuation rate to obtain a vehicle operating condition evaluation index; The carriage operation data includes real-time temperature difference, real-time humidity difference and gas content difference; A weighted summation process is performed based on the real-time temperature difference, the real-time humidity difference and the gas content difference to obtain a vehicle compartment compliance evaluation index.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a logistics vehicle on-board application method program. When the logistics vehicle on-board application method program is executed by the processor, the steps of a logistics vehicle on-board application method as described in any one of claims 1 to 7 are implemented.
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