Vehicle pound jumping identification method and device, vehicle supervision equipment and storage medium

Abstract

The invention provides a vehicle pound jumping identification method and device, vehicle supervision equipment and a storage medium, and belongs to the technical field of vehicle supervision, and the method comprises the steps: obtaining multiple groups of vehicle operation data based on a preset sampling interval; constructing a pound jumping identification filter; the pound jumping identification filter is composed of a plurality of feature data conforming to pound jumping working conditions and a value range of the feature data; and determining whether the vehicle has pound jump within the preset sampling interval based on the pound jump identification filter and the vehicle operation data. According to the invention, the purpose of pound skipping identification can be realized based on the pound skipping identification filter and the vehicle operation data, the vehicle operation data can be data in a full range of vehicle operation, the comprehensiveness of vehicle pound skipping identification is improved, and the accuracy of vehicle pound skipping identification can be improved. Moreover, a vehicle manufacturer can obtain a pound jumping identification result, feed back the identification result and warn improper driving behaviors, so that accidental parking of the vehicle caused by transmission system faults due to pound jumping is avoided, and economic loss is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle supervision, and in particular to a vehicle weighbridge jumping identification method, a device, a vehicle supervision device and a storage medium. Background Art

[0002] As trucks are charged based on model (number of axles) instead of weight, overweight vehicles are not allowed on highways. Users interfere with the weighing system by skipping the scales, causing overweight vehicles to appear as not overweight, greatly affecting the fairness of charging based on model (number of axles). In addition, skipping the scales endangers the safety of the vehicle's transmission system, causes damage to related parts, leads to unexpected stops, and even threatens driving safety, causing large economic losses.

[0003] The existing methods for identifying vehicle scale jumps are described in CN102809413B and CN215448156U, which are mainly based on on-site weighing platforms combined with camera detection. There are the following technical problems: 1. The field of view of the camera is limited, and the actual form of the vehicle is wide, making it difficult to fully monitor whether the vehicle has scale jumps. 2. The scale jump information is in the hands of the installers of the video and photo equipment, such as: highway toll stations, and vehicle manufacturers cannot obtain scale jump information, resulting in their inability to warn against improper driving behavior. As a result, the vehicle will unexpectedly stop due to transmission system failure caused by scale jumps, resulting in large economic losses.

[0004] Therefore, there is an urgent need to provide a vehicle scale jump identification method, device, vehicle monitoring equipment and storage medium to achieve full-range monitoring of vehicle scale jumps and enable vehicle manufacturers to obtain scale jump information to reduce the economic losses of manufacturers. Summary of the invention

[0005] In view of this, it is necessary to provide a vehicle scale jump identification method, device, vehicle supervision equipment and storage medium to solve the technical problems in the prior art that the camera's limited field of view leads to low accuracy of scale jump identification and vehicle manufacturers are unable to obtain scale jump information, resulting in their inability to warn against improper driving behavior, thereby causing economic losses to manufacturers.

[0006] On the one hand, in order to solve the above technical problems, the present invention provides a vehicle scale jump identification method, comprising: Acquire multiple sets of vehicle operation data based on preset sampling intervals; Constructing a scale jump identification filter; the scale jump identification filter is composed of a plurality of characteristic data that conform to the scale jump working condition and the value range of the characteristic data; It is determined whether a vehicle weight jump occurs within the preset sampling interval based on the weight jump identification filter and the vehicle operation data.

[0007] In a possible implementation, the vehicle operation data includes engine speed, vehicle speed and transmission shaft torque; then the pound jump identification filter is: The engine speed is greater than or equal to a speed threshold; The vehicle speed is less than or equal to a vehicle speed threshold; The transmission shaft torque is greater than the torque specified in the vehicle configuration.

[0008] In a possible implementation, the vehicle operation data further includes a maximum engine torque, a first gear ratio of a transmission, a drive axle load, a tire rolling radius, a tire-ground friction coefficient, and a drive axle ratio; and before determining whether a vehicle has a weight jump based on the weight jump identification filter and the vehicle operation data, the method further includes: Determining a first transmission shaft maximum torque based on the engine maximum torque and the transmission first gear ratio; Determine the maximum torque of the second transmission shaft based on the drive axle load, the tire rolling radius, the friction coefficient between the tire and the ground, and the drive axle speed ratio; The smaller value between the first transmission shaft maximum torque and the second transmission shaft maximum torque is used as the vehicle configuration specified torque.

[0009] In a possible implementation, the vehicle operation data includes engine speed, vehicle speed, engine output torque percentage and transmission gear position; then the jump pound identification filter is: The engine speed is greater than or equal to a speed threshold; The vehicle speed is less than or equal to a vehicle speed threshold; The engine output torque percentage is greater than or equal to a torque percentage threshold; The gearbox gear is less than or equal to the preset gear.

[0010] In a possible implementation, the vehicle weighing scale identification method further includes: When it is determined that the vehicle has experienced a weight jump within the preset sampling interval, determining associated vehicle operation data corresponding to the vehicle operation data based on a preset time range; determining a duration of a scale jump occurrence based on the vehicle operation data and the associated vehicle operation data; It is determined whether the duration is within a reference time range for a weight jump. If so, it is confirmed that a weight jump occurs to the vehicle within the preset sampling interval.

[0011] In a possible implementation, the vehicle operation data includes a road slope, and the vehicle weight jump identification method further includes: When it is determined that the vehicle has jumped within the preset sampling interval, determining whether the road slope is less than a preset slope; When the road slope is less than the preset slope, it is confirmed that the vehicle has experienced a weight jump within a preset sampling interval.

[0012] In a possible implementation, the vehicle weighing scale identification method further includes: When it is determined that the vehicle has experienced a weight jump within the preset sampling interval, determining the vehicle operating position of the vehicle when the weight jump occurs; It is determined whether the vehicle operation position is located in an area of ​​interest, and if so, it is confirmed that the vehicle has jumped within the preset sampling interval.

[0013] On the other hand, the present invention also provides a vehicle scale jump identification device, comprising: A vehicle operation data acquisition unit, used to acquire multiple sets of vehicle operation data based on a preset sampling interval; A scale skipping identification filter construction unit is used to construct a scale skipping identification filter; the scale skipping identification filter is composed of a plurality of characteristic data that conform to the scale skipping working condition and a value range of the characteristic data; A scale jump identification unit is used to determine whether the vehicle has a scale jump within the preset sampling interval based on the scale jump identification filter and the vehicle operation data. On the other hand, the present invention also provides a vehicle monitoring device, including a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the vehicle weighing jump identification method described in any one of the possible implementations above.

[0014] On the other hand, the present invention also provides a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the vehicle weighing jump identification method described in any possible implementation method mentioned above are implemented.

[0015] The beneficial effects of the present invention are as follows: the vehicle scale jump identification method provided by the present invention realizes the purpose of scale jump identification based on the scale jump identification filter and vehicle operation data by constructing a scale jump identification filter composed of multiple characteristic data that meet the scale jump working conditions and the value range of the characteristic data. The vehicle operation data can be data of the full range of vehicle operation, which improves the comprehensiveness of vehicle scale jump identification, and further improves the accuracy of vehicle scale jump identification. In addition, the vehicle manufacturer can obtain the scale jump identification result and feedback the identification result to warn against improper driving behavior, avoid accidental parking of the vehicle due to transmission system failure caused by scale jump, and reduce economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A schematic flow chart of an embodiment of a vehicle scale jump identification method provided by the present invention; Figure 2 A schematic diagram of a flow chart of an embodiment of determining a specified torque for a vehicle configuration provided by the present invention; Figure 3 A schematic flow chart of a first embodiment of confirming a scale jump provided by the present invention; Figure 4 A schematic flow chart of a second embodiment of the method for confirming a scale jump provided by the present invention; Figure 5 A schematic flow chart of a third embodiment of the method for confirming a scale jump provided by the present invention; Figure 6 A schematic diagram of the structure of an embodiment of a vehicle scale jump identification device provided by the present invention; Figure 7 A schematic structural diagram of an embodiment of the vehicle monitoring device provided by the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0019] It should be understood that the schematic drawings are not drawn to scale. The flowchart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art, under the guidance of the content of the present invention, can add one or more other operations to the flowchart, and can also remove one or more operations from the flowchart. Some of the block diagrams shown in the accompanying drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0020] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] The present invention provides a vehicle weighbridge jumping identification method, device, vehicle monitoring equipment and storage medium, which are respectively described below.

[0022] Figure 1 A flow chart of an embodiment of a vehicle scale jump identification method provided by the present invention is shown as follows: Figure 1 As shown, the vehicle scale jump identification method includes: S101, acquiring multiple groups of vehicle operation data based on a preset sampling interval; S102, constructing a scale jump identification filter; the scale jump identification filter is composed of multiple characteristic data that meet the scale jump working conditions and the value range of the characteristic data; S103: Determine whether the vehicle experiences a weight jump within a preset sampling interval based on a weight jump identification filter and vehicle operation data.

[0023] The preset sampling interval can be set or adjusted according to the actual application scenario or experience value. Since the duration of the scale jump is usually 1S-30S, the preset sampling interval should be less than the duration of the scale jump. Therefore, in a specific embodiment of the present invention, the preset sampling interval is less than 1S.

[0024] A set of vehicle operation data is vehicle operation data collected within a preset sampling interval. For example, if the time between the jth moment and the j+1th moment is the preset sampling interval, then the data between the jth moment and the j+1th moment is the vehicle operation data within the preset sampling interval.

[0025] It should be noted that: if the recognition result of step S103 is that the scale jump occurs, a warning message can be sent to the vehicle's display device to prompt the driver that the operation is abnormal at this time, and remind the driver to use the vehicle in a standardized manner to reduce the frequency of scale jumps, avoid accidental parking of the vehicle due to transmission system failure caused by scale jumps, and reduce economic losses.

[0026] Compared with the prior art, the vehicle scale jump identification method provided in the embodiment of the present invention realizes the purpose of scale jump identification based on the scale jump identification filter and vehicle operation data by constructing a scale jump identification filter composed of multiple characteristic data that meet the scale jump working conditions and the value range of the characteristic data. The vehicle operation data can be data of the full range of vehicle operation, which improves the comprehensiveness of vehicle scale jump identification and further improves the accuracy of vehicle scale jump identification. In addition, the vehicle manufacturer can obtain the scale jump identification result and feedback the identification result to warn against improper driving behavior, avoid accidental parking of the vehicle due to transmission system failure caused by scale jump, and reduce economic losses.

[0027] In some embodiments of the present invention, the vehicle operation data includes engine speed, vehicle speed and transmission shaft torque; then the jump pound identification filter is: The engine speed is greater than or equal to the speed threshold; The vehicle speed is less than or equal to the vehicle speed threshold; The drive shaft torque is greater than the torque specified in the vehicle configuration.

[0028] Specifically, when the vehicle operation data satisfies each item in the scale jump identification filter, it is determined that the vehicle has a scale jump within a preset sampling interval.

[0029] In a specific embodiment of the present invention, the rotation speed threshold is 800 rpm to 1000 rpm, the vehicle speed threshold is 2 km / h to 20 km / h, and the vehicle configuration prescribed torque needs to be calculated and determined based on other vehicle operation data.

[0030] From the above description, it can be seen that the accurate vehicle configuration specified torque is crucial to the recognition accuracy of the jump scale recognition. Therefore, in order to improve the accuracy of the vehicle configuration specified torque, in some embodiments of the present invention, the vehicle operation data also includes the maximum torque of the engine, the first gear ratio of the transmission, the axle load of the drive axle, the rolling radius of the tire, the friction coefficient between the tire and the ground, and the drive axle ratio; then Figure 2 As shown, before step S103, vehicle weight jump identification also includes: S201, determining a maximum torque of a first transmission shaft based on a maximum torque of the engine and a first gear ratio of the transmission; S202, determining the maximum torque of the second transmission shaft based on the drive axle load, the tire rolling radius, the friction coefficient between the tire and the ground, and the drive axle speed ratio; S203: Use the smaller value of the maximum torque of the first transmission shaft and the maximum torque of the second transmission shaft as the specified torque for the whole vehicle configuration.

[0031] The embodiment of the present invention calculates the maximum torque of the transmission shaft according to the maximum torque of the automobile power source and the maximum adhesion, and uses the smaller value of the two calculated maximum torques of the transmission shaft as the prescribed torque for the whole vehicle configuration, thereby improving the accuracy of the prescribed torque for the whole vehicle configuration, and further improving the recognition accuracy of the weight jump.

[0032] Among them, the specific process of determining the maximum torque of the first transmission shaft based on the maximum torque of the engine, the first gear speed ratio of the transmission and the transmission shaft torque in step S201 and determining the maximum torque of the second transmission shaft based on the drive axle load, the tire rolling radius, the tire-ground friction coefficient, the drive axle speed ratio and the transmission shaft torque in step S202 are existing technologies and will not be described in detail here.

[0033] In a specific embodiment of the present invention, the maximum torque of the engine is 2650Nm, the first gear ratio of the gearbox is 13.16, and the maximum torque of the first transmission shaft is calculated to be 34874Nm. The axle load of the drive axle is 18T, the rolling radius of the tire is 526.7mm, the friction coefficient between the tire and the ground is 0.8, and the drive axle ratio is 3.420, and the maximum torque of the second transmission shaft is calculated to be 21733Nm. The vehicle configuration torque is Min(26320, 21733) = 21733Nm.

[0034] In some actual scenarios, the directly acquired vehicle operation data does not include the transmission shaft torque. In this case, the transmission shaft torque can be calculated based on the directly acquired engine maximum torque, engine output torque percentage, gearbox speed ratio, etc. Specifically, the transmission shaft torque is the product of the engine output torque percentage, gearbox speed ratio and engine maximum torque.

[0035] The above process requires an additional calculation process, namely, multiplying the engine output torque percentage, the gearbox ratio and the engine maximum torque. To avoid the technical problem of low efficiency of pound jump identification caused by this additional calculation step, in some embodiments of the present invention, when the vehicle operation data includes engine speed, vehicle speed, engine output torque percentage and gearbox gear position, the pound jump identification filter is: The engine speed is greater than or equal to the speed threshold; The vehicle speed is less than or equal to the vehicle speed threshold; The engine output torque percentage is greater than or equal to a torque percentage threshold; The transmission gear is less than or equal to the preset gear.

[0036] Specifically, the speed threshold is 800rpm~1000rpm, the vehicle speed threshold is 2km / h~20km / h, the torque percentage threshold is 50~80, and the preset gear is 1st gear to 5th gear.

[0037] The embodiment of the present invention proposes two different scale jump identification filters, which can be adaptively selected according to the type of vehicle operation data, thereby improving the diversity of scale jump identification methods and achieving rapid and accurate identification of scale jumps.

[0038] When the vehicle operation data does not include the transmission gear position, it can be calculated based on the engine speed and the transmission speed. Specifically, the transmission gear position is the ratio of the engine speed to the transmission speed.

[0039] In some extreme scenarios, for example, when a vehicle is in an extremely bad working condition, the vehicle operation data satisfies the scale jump identification filter, but the vehicle is not in a scale jump working condition. In order to avoid identifying this situation as a scale jump, which leads to a low accuracy rate in identifying the scale jump, in some embodiments of the present invention, Figure 3 As shown, the vehicle scale jump identification method also includes: S301, when it is determined that the vehicle has a scale jump within a preset sampling interval, determining associated vehicle operation data corresponding to the vehicle operation data based on a preset time range; S302, determining the duration of the scale jump based on the vehicle operation data and the associated vehicle operation data; S303, determining whether the duration is within the reference time range for the vehicle to jump to a scale; if so, confirming that the vehicle has jumped to a scale within a preset sampling interval.

[0040] Since the duration of a scale jump event is short, shorter than the time when the vehicle is in severe driving conditions, based on this characteristic, the duration of the scale jump is obtained and the scale jump is further confirmed based on the duration, which can further improve the accuracy of scale jump identification.

[0041] In a specific embodiment of the present invention, the reference time range of the scale jump is 1S~30S.

[0042] The preset time range is the time within 30 seconds before and after the current sampling interval. For example, if the current sampling time is 12:30:15 on August 20, 2024, the preset time range is 12:29:45 on August 20, 2024 to 12:30:45 on August 20, 2024.

[0043] In a specific embodiment of the present invention, the reference time range of the scale jump is 20S, and the duration of the scale jump determined by the vehicle operation data is shown in Table 1: Table 1 Duration of the jump

[0044] It can be seen from Table 1 that the duration of the scale jump is less than 20S, that is, the scale jump occurred at the time corresponding to the data in Table 1.

[0045] In the actual operation scenario of the vehicle, when the vehicle is on a road with a large slope, the transmission torque may be large, the vehicle speed may be small, and the engine speed may be low. That is, when the vehicle climbs a steep slope, it is also easy to be misidentified as a working condition by the jump-pound identification filter. To avoid this situation, in some embodiments of the present invention, such as Figure 4 As shown, the vehicle scale jump identification method also includes: S401, when it is determined that the vehicle has jumped within the preset sampling interval, determining whether the road slope is less than a preset slope; S402: When the road slope is less than a preset slope, confirm that the vehicle has jumped within a preset sampling interval.

[0046] In the embodiment of the present invention, when the recognition result of the scale skip recognition filter is scale skip, the recognition result is further confirmed by the road slope, which can avoid misrecognition of scale skip and further improve the accuracy of scale skip recognition.

[0047] In a specific embodiment of the present invention, the preset slope is 5°~15°.

[0048] When the directly obtained vehicle operation data does not have a slope, the slope can be calculated based on the vehicle speed, the preset sampling interval and the altitude. That is, the embodiment of the present invention provides two ways to determine the slope data.

[0049] Furthermore, since the scale jump usually occurs at the weighing position, the scale will not jump for no reason when driving on a normal road. Therefore, in order to further ensure the accuracy of scale jump identification, in some embodiments of the present invention, Figure 5 As shown, the vehicle scale jump identification method also includes: S501, when it is determined that the vehicle has experienced a scale jump within a preset sampling interval, determining the vehicle operating position when the vehicle has experienced the scale jump; S502: Determine whether the vehicle operation position is located in the area of ​​interest. If so, confirm that the vehicle has jumped within a preset sampling interval.

[0050] The embodiment of the present invention can further improve the recognition accuracy of the scale skipping by further confirming the scale skipping based on the positional relationship between the vehicle operating position and the area of ​​interest.

[0051] It should be understood that the area of ​​interest is the location of the weighing platform, which is generally located at each highway toll station.

[0052] In a specific embodiment of the present invention, step S501 is specifically as follows: when it is determined that the vehicle has jumped the scale within a preset sampling interval, the longitude and latitude in the vehicle operation data are obtained, and the position of the vehicle in the map is confirmed based on the longitude and latitude, and this position is used as the vehicle operation position.

[0053] In order to ensure the accuracy of the weight jump identification results to the greatest extent, in some embodiments of the present invention, steps S301-S303, steps S401-S402 and steps S501-S502 can be involved in the determination of the results together. Specifically, when the confirmation results of the above three confirmation processes are all that a weight jump has occurred, the final result of the weight jump identification is confirmed to be that a weight jump has occurred, so as to ensure the accuracy of the weight jump identification.

[0054] In a specific embodiment of the present invention, the vehicle operation data is shown in Table 2. When the vehicle configuration specifies a torque of 21733 Nm, it can be seen from Table 2 that the vehicle operation data at each moment in Table 2 meets the items in the jump-pound identification filter, that is, there is a jump-pound at each moment in Table 2.

[0055] Table 2 Vehicle operation data

[0056] In summary, the vehicle scale jump identification method proposed in the embodiment of the present invention can realize scale jump identification through vehicle operation data, and can realize comprehensive monitoring of vehicle scale jump, covering a wide driving range and more vehicle models. In addition, the vehicle's main engine manufacturer can obtain the scale jump identification result in real time, warn of improper driving behavior, avoid accidental parking of the vehicle due to transmission system failure caused by scale jump, and reduce economic losses.

[0057] In order to better implement the vehicle scale jump recognition method in the embodiment of the present invention, based on the vehicle scale jump recognition method, the embodiment of the present invention also provides a vehicle scale jump recognition device, the vehicle includes a transmission controller and a vehicle controller, such as Figure 6 As shown, the vehicle scale jump identification device 600 includes: The vehicle operation data acquisition unit 601 is used to acquire multiple sets of vehicle operation data based on a preset sampling interval; The scale jump identification filter construction unit 602 is used to construct a scale jump identification filter; the scale jump identification filter is composed of multiple characteristic data that meet the scale jump working conditions and the value range of the characteristic data; The scale jump identification unit 603 is used to determine whether the vehicle has a scale jump within a preset sampling interval based on the scale jump identification filter and the vehicle operation data.

[0058] It should be noted that the vehicle scale jump identification device 600 provided in the above embodiment can implement the technical solution described in the above vehicle scale jump identification method embodiment. The specific implementation principles or specific implementation details of the above modules or units can be found in the corresponding contents in the above vehicle scale jump identification method embodiment, which will not be described one by one here.

[0059] like Figure 7As shown, the present invention also provides a vehicle supervision device 700. The vehicle supervision device 700 includes a processor 701, a memory 702 and a display 703. Figure 7 Only some of the components of the vehicle supervision device 700 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0060] In some embodiments, the processor 701 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code or process data stored in the memory 702, such as the vehicle weighing jump identification method of the present invention.

[0061] In some embodiments of the present invention, the processor 701 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 701 may be local or remote. In some embodiments, the processor 701 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0062] In some embodiments, the memory 702 may be an internal storage unit of the vehicle supervision device 700 , such as a hard disk or a memory of the vehicle supervision device 700 .

[0063] Furthermore, the memory 702 may include both an internal storage unit of the vehicle monitoring device 700 and an external storage device. The memory 702 is used to store application software installed in the vehicle monitoring device 700 and various data.

[0064] In some embodiments, the display 703 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 703 is used to display information of the vehicle monitoring device 700 and to display a visual user interface. The components 701-703 of the vehicle monitoring device 700 communicate with each other via a system bus.

[0065] In some embodiments of the present invention, when the processor 701 executes the vehicle weight jump identification program in the memory 702, the following steps may be implemented: Acquire multiple sets of vehicle operation data based on preset sampling intervals; Construct a scale jump identification filter; the scale jump identification filter is composed of multiple characteristic data that meet the scale jump working conditions and the value range of the characteristic data; Based on the scale jump identification filter and the vehicle operation data, it is determined whether the vehicle has a scale jump within a preset sampling interval.

[0066] It should be understood that: when the processor 701 executes the vehicle weighing scale identification program in the memory 702, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0067] Furthermore, the embodiment of the present invention does not specifically limit the type of the vehicle supervision device 700 mentioned. The vehicle supervision device 700 may be a portable vehicle supervision device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable vehicle supervision devices include but are not limited to portable vehicle supervision devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable vehicle supervision device may also be other portable vehicle supervision devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the vehicle supervision device 700 may not be a portable vehicle supervision device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0068] Correspondingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the vehicle weighing jump identification method provided in the above-mentioned method embodiments can be implemented.

[0069] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0070] The above is a detailed introduction to a vehicle weighbridge identification method, device, vehicle supervision equipment and storage medium provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A vehicle scale jump identification method, characterized in that: include: Acquire multiple sets of vehicle operation data based on preset sampling intervals; Build a jump-pound identification filter; The scale jump identification filter is composed of a plurality of characteristic data that conform to the scale jump working condition and the value range of the characteristic data; It is determined whether a vehicle weight jump occurs within the preset sampling interval based on the weight jump identification filter and the vehicle operation data.

2. The vehicle weighing jump identification method according to claim 1, characterized in that: The vehicle operation data includes engine speed, vehicle speed and transmission shaft torque; the jump pound identification filter is: The engine speed is greater than or equal to a speed threshold; The vehicle speed is less than or equal to a vehicle speed threshold; The transmission shaft torque is greater than the torque specified in the vehicle configuration.

3. The vehicle weighing jump identification method according to claim 2, characterized in that: The vehicle operation data also includes the maximum torque of the engine, the first gear ratio of the transmission, the axle load of the drive axle, the rolling radius of the tire, the friction coefficient between the tire and the ground, and the speed ratio of the drive axle; Before determining whether a vehicle has experienced a weight jump based on the weight jump identification filter and the vehicle operation data, the method further includes: Determining a maximum torque of a first transmission shaft based on the maximum torque of the engine and the first gear ratio of the transmission; Determine the maximum torque of the second transmission shaft based on the drive axle load, the tire rolling radius, the friction coefficient between the tire and the ground, and the drive axle speed ratio; The smaller value between the first transmission shaft maximum torque and the second transmission shaft maximum torque is used as the vehicle configuration specified torque.

4. The vehicle weighing jump identification method according to claim 1, characterized in that: The vehicle operation data includes engine speed, vehicle speed, engine output torque percentage and gearbox gear position; then the jump pound identification filter is: The engine speed is greater than or equal to a speed threshold; The vehicle speed is less than or equal to a vehicle speed threshold; The engine output torque percentage is greater than or equal to a torque percentage threshold; The gearbox gear is less than or equal to the preset gear.

5. The vehicle weighing jump identification method according to any one of claims 1 to 4, characterized in that: The vehicle scale jump identification method further comprises: When it is determined that the vehicle has experienced a weight jump within the preset sampling interval, determining associated vehicle operation data corresponding to the vehicle operation data based on a preset time range; determining a duration of a scale jump occurrence based on the vehicle operation data and the associated vehicle operation data; It is determined whether the duration is within a reference time range for a weight jump. If so, it is confirmed that a weight jump occurs to the vehicle within the preset sampling interval.

6. The vehicle weighing jump identification method according to any one of claims 1 to 4, characterized in that: The vehicle operation data includes a road slope, and the vehicle weight jump identification method further includes: When it is determined that the vehicle has jumped within the preset sampling interval, determining whether the road slope is less than a preset slope; When the road slope is less than the preset slope, it is confirmed that the vehicle has experienced a weight jump within a preset sampling interval.

7. The vehicle weighing jump identification method according to any one of claims 1 to 4, characterized in that: The vehicle scale jump identification method further comprises: When it is determined that the vehicle has experienced a weight jump within the preset sampling interval, determining the vehicle operating position of the vehicle when the weight jump occurs; It is determined whether the vehicle operation position is located in an area of ​​interest, and if so, it is confirmed that the vehicle has jumped within the preset sampling interval.

8. A vehicle scale jump identification device, characterized in that: include: A vehicle operation data acquisition unit, used to acquire multiple sets of vehicle operation data based on a preset sampling interval; A skipping identification filter building unit, used for building a skipping identification filter; The scale jump identification filter is composed of a plurality of characteristic data that conform to the scale jump working condition and the value range of the characteristic data; The weight-jump identification unit is used to determine whether the vehicle has a weight-jump within the preset sampling interval based on the weight-jump identification filter and the vehicle operation data.

9. A vehicle monitoring device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the vehicle weight jump identification method described in any one of claims 1 to 7 above.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the vehicle weight jump identification method described in any one of claims 1 to 7 are implemented.

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