A vehicle load state recognition method and device, electronic equipment, and storage medium

Abstract

The application provides a vehicle load state recognition method and device, electronic equipment and storage medium, and relates to the technical field of vehicle management. The method comprises the following steps: obtaining vehicle driving information, vehicle structure information and road surface type information within a target trip, obtaining a vehicle calculated load value within the target trip based on the vehicle driving information, the vehicle structure information and the road surface type information within the target trip, obtaining a vehicle load optimal value based on the vehicle calculated load value and a vehicle weighbridge load value, and finally obtaining a load state within the target trip based on the vehicle load optimal value and the vehicle structure information. Compared with a vehicle load state recognition model trained by a large number of historical load state sample values to recognize the load state of the vehicle, the vehicle load value determined by real-time vehicle driving information and vehicle structure information in the application is more accurate, thereby ensuring the accuracy of the judgment of the load state of the vehicle.

Description

Technical Field

[0001] This application relates to the field of vehicle management technology, specifically to a method, device, electronic device, and storage medium for identifying vehicle load status. Background Technology

[0002] Vehicle load status refers to the cargo condition of a vehicle during a freight transport mission. Generally, vehicle load status includes empty, loaded, fully loaded, and unloaded. The uses of identifying vehicle load status include vehicle dispatching and scheduling loading and unloading operations during freight transport missions.

[0003] In existing technologies, when identifying the load status, the main approach is to rely on model training based on historical data to identify the vehicle's load status, or to set thresholds for key parameters such as engine torque and gear position, and output the vehicle's load status by comparing the state values ​​under full load and no load conditions.

[0004] However, vehicle load status recognition models often need to acquire a large number of historical load status values. Due to the large number of samples of historical vehicle load status values, it is difficult to acquire them, and the accuracy of historical vehicle load status values ​​cannot be guaranteed. As a result, the accuracy of vehicle load status recognition models trained from sample values ​​is low.

[0005] Therefore, improving the accuracy of vehicle load status identification is an urgent problem to be solved. Summary of the Invention

[0006] This application provides a vehicle load status identification method, device, electronic device, and storage medium to improve the accuracy of vehicle load status identification.

[0007] To achieve the above objectives, this application provides the following solution.

[0008] In a first aspect, this application provides a method for identifying the load status of a vehicle, the method comprising the following steps:

[0009] Obtain vehicle driving information, vehicle structure information, and road surface type information within the target route;

[0010] Based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey, the calculated load value of the vehicle within the target journey is obtained;

[0011] Based on the vehicle's calculated load value and the vehicle's weighbridge load value, the optimal vehicle load value is obtained.

[0012] Based on the optimal vehicle load value and the vehicle structure information, the load status within the target journey is obtained.

[0013] Furthermore, before acquiring vehicle driving information, vehicle structure information, and road surface type information within the target journey, the following steps are included:

[0014] Obtain the vehicle's ACC status and speed within the target journey;

[0015] Record the timestamps of all moments when the vehicle's ACC status is on and the vehicle speed is zero.

[0016] Based on the target timestamp and the previous timestamp of the target timestamp, the target distance traveled by the vehicle is obtained.

[0017] Furthermore, obtaining vehicle driving information, vehicle structure information, and road surface type information within the target journey includes the following steps:

[0018] Select a number of characteristic timestamps between the target timestamp and the previous timestamp of the target timestamp;

[0019] Obtain vehicle driving information, vehicle structure information, and road surface type information within the target journey at each of the aforementioned characteristic timestamps.

[0020] Furthermore, obtaining the calculated vehicle load value within the target journey based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey includes the following steps:

[0021] Vehicle power information is obtained based on vehicle structure information at the target feature timestamp and road surface type information within the target journey.

[0022] Based on the vehicle power information and the vehicle driving information at the target feature timestamp, the calculated load value of the vehicle at the target timestamp is obtained.

[0023] The vehicle load value is calculated based on the vehicle at each of the aforementioned characteristic timestamps, and the average calculated load value is obtained within the target journey.

[0024] Furthermore, before obtaining the optimal vehicle load value based on the calculated vehicle load value and the vehicle weighbridge load value, the following steps are included:

[0025] When a vehicle passes through the road testing equipment within the target travel distance, the vehicle's weighbridge load value measured by the road testing equipment is obtained.

[0026] Furthermore, the step of calculating the vehicle's load value and the vehicle's weighbridge load value to obtain the optimal vehicle load value includes the following steps:

[0027] Determine whether the vehicle weighbridge load value is valid;

[0028] If the vehicle weighbridge load value is valid, then the vehicle weighbridge load value is recorded as the optimal vehicle load value.

[0029] If the vehicle weighbridge load value is invalid, then the average calculated load value is recorded as the optimal vehicle load value.

[0030] Furthermore, the vehicle structure information includes the vehicle's curb weight and maximum advertised weight; the step of obtaining the load status within the target journey based on the optimal vehicle load value and the vehicle structure information further includes the following steps:

[0031] If the optimal load capacity of the vehicle is less than the vehicle's curb weight, the vehicle is determined to be unloaded.

[0032] If the optimal load capacity of the vehicle is greater than the vehicle's curb weight but less than the vehicle's maximum advertised weight, then the vehicle is determined to be in a loaded state.

[0033] If the optimal load capacity of the vehicle is greater than the maximum advertised weight of the vehicle, the vehicle is determined to be overloaded.

[0034] Secondly, this application provides a vehicle load status identification device, the device comprising:

[0035] The information acquisition module is used to acquire vehicle driving information, vehicle structure information, and road surface type information within the target journey.

[0036] The calculated value acquisition module is used to acquire the calculated load value of the vehicle within the target journey based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey.

[0037] The optimal value acquisition module is used to obtain the optimal load value of the vehicle based on the calculated load value of the vehicle and the load value of the vehicle weighbridge.

[0038] The status determination module is used to obtain the load status within the target journey based on the optimal vehicle load value and the vehicle structure information.

[0039] Furthermore, the information acquisition module includes:

[0040] The first information acquisition submodule is used to acquire the vehicle's ACC status and vehicle speed within the target journey.

[0041] The timestamp acquisition submodule is used to record the timestamps of all moments when the vehicle's ACC status is on and the vehicle speed is zero.

[0042] The target trip submodule is used to obtain the target trip of the vehicle based on the target timestamp and the previous timestamp of the target timestamp.

[0043] Furthermore, the information acquisition module includes:

[0044] The timestamp selection submodule is used to select characteristic timestamps of several moments between a target timestamp and the previous timestamp of the target timestamp;

[0045] The second information acquisition submodule is used to acquire vehicle driving information, vehicle structure information, and road surface type information within the target journey at each of the specified feature timestamps.

[0046] Furthermore, the calculated value acquisition module includes:

[0047] The power information acquisition submodule is used to acquire vehicle power information based on the vehicle structure information at the target feature timestamp and the road surface type information within the target journey.

[0048] The load value acquisition submodule is used to acquire the vehicle's calculated load value at the target timestamp based on the vehicle's power information and the vehicle's driving information at the target feature timestamp.

[0049] The average value acquisition submodule is used to calculate the load value of the vehicle based on each of the characteristic timestamps, and obtain the average calculated load value within the target trip.

[0050] Furthermore, the optimal value acquisition module also includes:

[0051] When a vehicle passes through the road testing equipment within the target travel distance, the vehicle's weighbridge load value measured by the road testing equipment is obtained.

[0052] Furthermore, the optimal value acquisition module includes:

[0053] The judgment submodule is used to determine whether the vehicle weighbridge load value is valid;

[0054] The first optimal value acquisition submodule is used to record the vehicle weighbridge load value as the optimal vehicle load value if the vehicle weighbridge load value is valid.

[0055] The second optimal value acquisition submodule is used to record the average calculated load value as the optimal load value of the vehicle if the vehicle weighbridge load value is invalid.

[0056] Furthermore, the status determination module includes:

[0057] The first state determination submodule is used to determine that the vehicle is in an unloaded state if the optimal load value of the vehicle is less than the curb weight of the vehicle.

[0058] The second state determination submodule is used to determine that the vehicle is in a loaded state if the optimal load value of the vehicle is greater than the curb weight of the vehicle and less than the maximum advertised weight of the vehicle.

[0059] The third state determination submodule is used to determine that the vehicle is overloaded if the optimal load value of the vehicle is greater than the maximum advertised weight of the vehicle.

[0060] The beneficial effects of the technical solution provided in this application include:

[0061] The vehicle controller acquires vehicle driving information, vehicle structure information, and road surface type information within the target travel distance. Based on the vehicle driving information, vehicle structure information, and road surface type information within the target travel distance, it calculates the vehicle load value within the target travel distance. Based on the calculated vehicle load value and the vehicle weighbridge load value, it obtains the optimal vehicle load value. Finally, based on the optimal vehicle load value and vehicle structure information, it obtains the load status within the target travel distance.

[0062] In this application, the calculated load value of the vehicle is obtained by calculating the vehicle's driving information, vehicle structure information, and road surface type information within the target journey. Then, based on the calculated load value and vehicle structure information, the load status of the target vehicle within the target journey is obtained. In other words, this application calculates the vehicle's load value by using the vehicle's driving information, vehicle structure information, and road surface type information within the target journey, and then obtains the vehicle's load status based on the vehicle's load value. Compared to identifying the vehicle's load status by using a vehicle load status recognition model trained with a large number of historical load status sample values, this application determines the vehicle's load value by using real-time vehicle driving information and vehicle structure information, which is more accurate and ensures the accuracy of the judgment on the vehicle's load status. Attached Figure Description

[0063] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 This is a flowchart of the steps of the vehicle load status recognition method provided in the embodiments of this application;

[0065] Figure 2 This is a flowchart illustrating the steps of the vehicle load calculation method provided in the embodiments of this application. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0067] The embodiments of this application will be further described in detail below with reference to the accompanying drawings.

[0068] This application provides a vehicle load status identification method, device, electronic device, and storage medium, which can improve the accuracy of vehicle load status identification.

[0069] To achieve the aforementioned technical effects, the overall concept of this application is as follows:

[0070] See Figure 1 As shown, a method for identifying the load status of a vehicle includes the following steps:

[0071] S1. Obtain vehicle driving information, vehicle structure information, and road surface type information within the target journey;

[0072] S2. Based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey, obtain the calculated load value of the vehicle within the target journey.

[0073] S3. Based on the calculated load value of the vehicle and the load value of the vehicle weighbridge, obtain the optimal load value of the vehicle.

[0074] S4. Based on the optimal vehicle load value and the vehicle structure information, obtain the load status of the target vehicle within the target journey.

[0075] The embodiments of this application will be further described in detail below with reference to the accompanying drawings.

[0076] See Figure 1 As shown in the figure, this application provides a method for identifying the load status of a vehicle, which includes the following steps:

[0077] S1. Obtain vehicle driving information, vehicle structure information, and road surface type information within the target route.

[0078] The vehicle driving information includes the target vehicle's real-time speed and real-time acceleration; the vehicle structure information refers to the parameter information of each power structure of the target vehicle during its driving process, such as the target vehicle's GPS location information, wheel speed, and actual engine output torque; the road surface type information within the target journey includes road surface types such as good asphalt or concrete road surface, gravel road surface, pothole road surface, and good cobblestone road surface.

[0079] In addition, the target trip refers to a certain segment of the journey during the target vehicle's operation. The process of determining the target trip includes: first, the vehicle controller obtains the vehicle's ACC status and speed within the target trip, and records the timestamps of all moments when the target vehicle's ACC status is active and the vehicle speed is zero; based on the target timestamp and the previous timestamp, the target trip of the vehicle is obtained.

[0080] Specifically, the vehicle controller of the target vehicle acquires real-time speed information, real-time acceleration information, wheel speed of the target vehicle, actual engine output torque information, and road surface type information within the target travel distance.

[0081] S2. Based on vehicle driving information, vehicle structure information, and road surface type information within the target journey, obtain the calculated load value of the vehicle within the target journey.

[0082] Specifically, the vehicle controller of the target vehicle obtains the vehicle's speed and acceleration from the vehicle driving information, and obtains the target vehicle's gearbox ratio, rear axle final drive ratio, actual engine output torque, wheel rolling radius, wheel track, vehicle height, curb weight, and maximum announced weight parameters from the vehicle structure information.

[0083] The target vehicle controller then obtains the target vehicle's driving force information based on the target vehicle's actual engine output torque, gearbox ratio, rear axle final drive ratio, and wheel rolling radius. It then obtains the target vehicle's resistance information during driving based on the road surface type information within the target travel distance. Finally, it calculates the target vehicle's load value based on the driving force information, resistance information, and target vehicle acceleration information.

[0084] S3. Based on the vehicle's calculated load value and the vehicle's weighbridge load value, obtain the optimal vehicle load value;

[0085] Among them, the calculated vehicle load value refers to the load value of the target vehicle calculated based on the vehicle driving information, vehicle structure information, and road surface type information within the target journey; the vehicle weighbridge load value is the load value of the target vehicle measured by roadside sensor equipment within the target journey; the optimal vehicle load value refers to the target vehicle load value that is closest to the actual weight of the target vehicle.

[0086] When the source of the vehicle weighbridge load value is valid, the optimal vehicle load value is determined as the vehicle weighbridge load value; when the source of the vehicle weighbridge load value is valid, the optimal vehicle load value is determined as the calculated vehicle load value.

[0087] S4. Based on the optimal vehicle load and vehicle structure information, obtain the load status of the target vehicle within the target journey.

[0088] The vehicle structure information includes curb weight and maximum advertised weight; the load status includes three load statuses: overloaded, unloaded, and loaded.

[0089] The target vehicle controller compares the optimal vehicle load value with the curb weight and the maximum advertised weight, and obtains the load status of the target vehicle within the target journey based on the comparison results.

[0090] In this application, the calculated load value of the vehicle is obtained by calculating the vehicle's driving information, vehicle structure information, and road surface type information within the target journey. Then, based on the calculated load value and vehicle structure information, the load status of the target vehicle within the target journey is obtained. In other words, this application calculates the vehicle's load value by using the vehicle's driving information, vehicle structure information, and road surface type information within the target journey, and then obtains the vehicle's load status based on the vehicle's load value. Compared to identifying the vehicle's load status by using a vehicle load status recognition model trained with a large number of historical load status sample values, this application determines the vehicle's load value by using real-time vehicle driving information and vehicle structure information, which is more accurate and ensures the accuracy of the judgment on the vehicle's load status.

[0091] In one embodiment of the application, the steps preceding step S1 include:

[0092] S101, obtain the vehicle's ACC status and vehicle speed within the target journey;

[0093] Among them, ACC status refers to the status of the vehicle's ignition switch.

[0094] Specifically, the target vehicle controller detects in real time whether the target vehicle is in the on state. When it determines that the target vehicle is in the ignition state, that is, the starting state, it obtains the driving speed of the target vehicle in real time.

[0095] S102, record the timestamps of all moments when the vehicle's ACC status is on and the vehicle speed is zero.

[0096] When the target vehicle controller detects that the vehicle's ACC status is on and the vehicle speed is zero, record the timestamp at this moment.

[0097] S103, based on the target timestamp and the previous timestamp of the target timestamp, obtain the target trip of the target vehicle.

[0098] Because the target vehicle will stop operating for various reasons during its journey, at which point its speed will be zero, the target vehicle controller records the timestamps of all times when the ACC status of all vehicles is activated and the vehicle speed is zero throughout the entire operation.

[0099] Determine the target timestamp, find the previous timestamp adjacent to the target timestamp, and then determine the route traveled by the target vehicle between the target timestamp and the adjacent previous timestamp as the target route.

[0100] In one embodiment of the application, step S1 includes the following steps:

[0101] S104, Select a number of characteristic timestamps between the target timestamp and the previous timestamp of the target timestamp;

[0102] S105, obtain vehicle driving information, vehicle structure information, and road surface type information within the target journey at each feature timestamp.

[0103] The target vehicle controller acquires vehicle driving information, vehicle structure information, and road surface type information for each feature timestamp in the target journey.

[0104] In one embodiment, step S2 includes the following steps:

[0105] S201, Based on the vehicle structure information at the target feature timestamp and the road surface type information within the target journey, obtain the vehicle power information;

[0106] Specifically, the target vehicle controller obtains vehicle dynamics information based on vehicle dynamics formulas, vehicle structure information, and road surface type information within the target travel distance.

[0107] In this embodiment, the target vehicle controller obtains the wheel driving force of the target vehicle based on the actual output torque of the engine, the gearbox ratio, the rear axle final reducer ratio, the mechanical efficiency of the entire transmission system, and the wheel rolling radius; then, based on the weight of the target vehicle and the rolling resistance coefficient within the target travel distance, it obtains the rolling resistance of the target vehicle during driving; wherein the rolling resistance coefficient is determined by the road surface type information within the target travel distance.

[0108] S202, Based on vehicle power information and vehicle driving information at the target feature timestamp, obtain the vehicle's calculated load value at the target timestamp.

[0109] The target vehicle control obtains the acceleration at the target feature timestamp within the target travel distance, subtracts the rolling resistance from the wheel driving force to obtain the total driving force, and then substitutes the total driving force and the acceleration at the target feature timestamp into the vehicle dynamics formula to obtain the load value of the target vehicle.

[0110] S203, calculate the vehicle load value based on the vehicle at each characteristic timestamp, and obtain the average calculated load value within the target journey.

[0111] The target vehicle controller calculates the average calculated load value of the vehicle at each characteristic timestamp within the target journey, thus obtaining the average calculated load value within the target journey.

[0112] In this application, the calculated load value of the vehicle is obtained by using vehicle dynamics formulas, vehicle driving information, vehicle structure information, and road surface type information within the target travel distance. Compared with the vehicle load state recognition model trained by a large number of historical load state sample values ​​to identify the vehicle load state, the vehicle load value determined by real-time vehicle driving information and vehicle structure information in this application is more accurate, thus ensuring the accuracy of the judgment of the vehicle load state.

[0113] In one embodiment of the application, step S3 includes:

[0114] S301, Determine whether the vehicle weighbridge load value is valid;

[0115] When a target vehicle passes through the highway, it needs to be weighed on a weighbridge. The on-board equipment on the target vehicle exchanges information with the roadside equipment. The roadside equipment will obtain the load value m of the weighbridge and then send the load value of the target vehicle to the on-board equipment on the target vehicle. The on-board equipment will send the load value measured by the roadside equipment to the target vehicle controller through a signal transmission line.

[0116] When a target vehicle passes by the road testing equipment and interacts with it, the signal connection channel may be interrupted, causing the vehicle's weighbridge load value measured by the road testing equipment to become invalid. In this case, the vehicle's weighbridge load value measured by the road testing equipment will be zero or invalid. The target vehicle controller can determine whether the vehicle's weighbridge load value is valid by checking its magnitude.

[0117] S302, If the vehicle weighbridge load value is valid, then record the vehicle weighbridge load value as the optimal vehicle load value.

[0118] If the target vehicle controller determines that the vehicle's weighbridge load value is valid, then the vehicle's weighbridge load value is recorded as the optimal vehicle load value.

[0119] S303 If the vehicle weighbridge load value is invalid, the average calculated load value shall be recorded as the optimal vehicle load value.

[0120] If the target vehicle controller determines that the vehicle's weighbridge load value is invalid, then the average calculated load value will be recorded as the optimal load value for the vehicle.

[0121] In this embodiment of the application, when the road test equipment cannot accurately measure the load value of the target vehicle, the vehicle load value is calculated using vehicle kinematics formulas, vehicle driving information, vehicle structure information, and road surface type information within the target journey, thus ensuring the accuracy of the target vehicle load value.

[0122] In one embodiment of the application, step S4 includes:

[0123] If the optimal load capacity of the vehicle is less than the vehicle's curb weight, the target vehicle is determined to be unloaded.

[0124] The vehicle's curb weight refers to the weight of a car fully equipped according to its factory specifications (e.g., spare tire, tools, etc.) and with all fluids filled. If the optimal load capacity of a vehicle is less than its curb weight, the target vehicle is considered unloaded.

[0125] If the optimal load capacity of the vehicle is greater than the vehicle's curb weight but less than the vehicle's maximum advertised weight, then the vehicle is determined to be in a loaded state.

[0126] The maximum announced mass of a vehicle refers to the weight of a vehicle when it is fully equipped and loaded with passengers, including the driver and cargo, as required.

[0127] If the target vehicle controller determines that the optimal load value of the vehicle is greater than the vehicle's curb weight but less than the vehicle's maximum advertised weight, then it determines that the target vehicle is loaded with goods or passengers that do not exceed the weight threshold, and thus the target vehicle's load status is determined to be a loaded state.

[0128] If the optimal load capacity of a vehicle is greater than the maximum advertised weight of the vehicle, the vehicle is determined to be overloaded.

[0129] If the target vehicle controller determines that the optimal load value of the vehicle is greater than the maximum advertised weight of the vehicle, then the target vehicle's load status is determined to be overloaded.

[0130] One embodiment of the application proposes a method for identifying the load status of a vehicle, comprising the following steps:

[0131] A1. Vehicle Data Acquisition and Preprocessing: Acquire dynamic data (data acquisition time, vehicle GPS location, elevation, wheel speed, actual engine output torque) and static data (transmission ratio, rear axle final drive ratio, wheel rolling radius, wheel track, vehicle height, and vehicle curb weight and maximum announced weight parameters) through the vehicle communication terminal.

[0132] A2. Calculate the target vehicle load value based on the vehicle dynamics formula: This method calculates the load value based on the vehicle dynamics formula Ft–f=m*a by inputting the above-mentioned vehicle dynamic and static data.

[0133] 1) The formula for driving force Ft is: Ft=Ttq*ig*io*vT / r

[0134] Where: Ft -- wheel driving force; Ttq -- actual engine output torque; ig -- gearbox ratio; io -- rear axle final drive ratio; vT -- mechanical efficiency of the entire transmission system; r -- wheel rolling radius.

[0135] 2) Calculation of acceleration a:

[0136] a = ΔV / ΔT, where ΔV is the change in velocity over an adjacent time difference ΔT, where ΔT is considered as 1 second and ΔV is considered as the change in speed ratio within 1 second.

[0137] 3) Resistance calculation

[0138] Rolling resistance is Ff = G * f, where G is the weight of the vehicle and f is the rolling resistance coefficient. Based on Table 1 and considering the characteristics of commercial vehicles (tractor trucks and cargo trucks) mainly operating on highways and national roads, a rolling resistance coefficient of 0.018 is recommended.

[0139] Air resistance Fw = CdAV² / 21.15, where A is the area of ​​the frontal drag, A = wheel moment * vehicle height, and the empirical value of the air resistance coefficient for commercial vehicles is Cd = 0.52.

[0140] Solve for the above values ​​separately, and finally calculate the load values ​​m1, m2...mn under multiple timestamps, and calculate the average value m.

[0141] A3. Obtain the vehicle weighbridge load value:

[0142] When commercial vehicles pass through highways, they need to be weighed on a weighbridge. The Onboard Equipment (OBE) and the Reliability Equipment (RSE) exchange information to obtain the weighbridge's load value (m). 地磅 .

[0143] A4. Load Status Upload and Statistics: Based on the calculated m 平均 and the obtained weighbridge value m 地磅 Find the optimal load capacity solution if m 地磅 If the value is valid, then the optimal load capacity solution is m. 最优 =m 地磅 If m 地磅 If the value is invalid, then m 最优 =m 平均 According to M 整备 M 最大公告质量 m 最优The load condition is determined by the following calculation method:

[0144] No load: m 最优 <=M 整备

[0145] Loading: M 整备 <m 最优 = <M 最大公告质量

[0146] Overload: m 最优 >M 最大公告质量

[0147] The vehicle communication terminal reports the vehicle number, trip end timestamp, trip marker, and load status to the statistics platform. The statistics platform receives the reported information and stores the empty, loaded, and overloaded states as "0", "1", and "2" respectively. Then, if it is necessary to statistically analyze the percentage of a single vehicle's load status within a set time range.

[0148] Percentage of trips with no load: Number of trips with a status of "0" / Total number of trips

[0149] Loading status percentage: Number of trips with status "1" / Total number of trips

[0150] Overload status percentage: Number of trips with status "2" / Total number of trips.

[0151] In this embodiment, the load status identification of target vehicles, such as tractor-trailers and cargo trucks, is achieved by collecting vehicle status data, calculating the vehicle load according to classical vehicle dynamics formulas, and combining this with the vehicle's weighbridge load value obtained from the on-board communication equipment. After correction, the final load status is obtained, and this method has passed real-vehicle testing with high accuracy. Relying on basic driving data, it has high versatility and can output the load status for each trip of the vehicle. Furthermore, this embodiment clearly defines the range of empty, loaded, and overloaded states for the target vehicle and can intuitively display the statistical results of the load status on the platform. It also provides a good data foundation for the fuel consumption analysis of the target vehicle.

[0152] Based on the same inventive concept as the real-time example of the vehicle load status identification method, this application provides a vehicle load status identification device, which includes:

[0153] The information acquisition module is used to acquire vehicle driving information, vehicle structure information, and road surface type information within the target journey.

[0154] The calculated value acquisition module is used to acquire the calculated load value of the vehicle within the target journey based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey.

[0155] The optimal value acquisition module is used to obtain the optimal load value of the vehicle based on the calculated load value of the vehicle and the load value of the vehicle weighbridge.

[0156] The status determination module is used to obtain the load status within the target journey based on the optimal vehicle load value and the vehicle structure information.

[0157] In this application, the calculated load value of the vehicle is obtained by calculating the vehicle's driving information, vehicle structure information, and road surface type information within the target journey. Then, based on the calculated load value and vehicle structure information, the load status of the target vehicle within the target journey is obtained. In other words, this application calculates the vehicle's load value by using the vehicle's driving information, vehicle structure information, and road surface type information within the target journey, and then obtains the vehicle's load status based on the vehicle's load value. Compared to identifying the vehicle's load status by using a vehicle load status recognition model trained with a large number of historical load status sample values, this application determines the vehicle's load value by using real-time vehicle driving information and vehicle structure information, which is more accurate and ensures the accuracy of the judgment on the vehicle's load status.

[0158] It should be noted that the technical problems, technical means and technical effects of the vehicle load status recognition device provided in this application embodiment are similar to those of the vehicle load status recognition method in principle.

[0159] Secondly, embodiments of this application provide a storage medium storing a computer program, which, when executed by a processor, implements the vehicle load status identification method mentioned in the first aspect.

[0160] Thirdly, embodiments of this application provide an electronic device, including a memory and a processor, wherein the memory stores a computer program that runs on the processor, and the processor executes the computer program to implement the vehicle load status recognition method mentioned in the first aspect.

[0161] It should be noted that in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0162] The above are merely specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for identifying the load status of a vehicle, characterized in that, The method includes the following steps: Acquire vehicle driving information, vehicle structure information, and road surface type information of the target vehicle within the target journey; Based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target journey, the calculated load value of the vehicle within the target journey is obtained; Based on the vehicle's calculated load value and the vehicle's weighbridge load value, the optimal vehicle load value is obtained. Based on the optimal vehicle load value and the vehicle structure information, the load status of the target vehicle within the target journey is obtained. Before obtaining the vehicle driving information, vehicle structure information, and road surface type information of the target vehicle within the target journey, the following steps are included: Obtain the vehicle's ACC status and speed within the target journey; Record the timestamps of all moments when the vehicle's ACC status is on and the vehicle speed is zero. Based on the target timestamp and the previous timestamp of the target timestamp, obtain the target distance traveled by the target vehicle; The process of obtaining vehicle driving information, vehicle structure information, and road surface type information of the target vehicle within the target journey includes the following steps: Select a number of characteristic timestamps between the target timestamp and the previous timestamp of the target timestamp; Obtain vehicle driving information, vehicle structure information, and road surface type information within the target journey at each of the aforementioned characteristic timestamps; The step of obtaining the calculated load value of the vehicle within the target distance based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target distance includes the following steps: Vehicle power information is obtained based on vehicle structure information at each feature timestamp and road surface type information within the target journey. Based on the vehicle power information and the vehicle driving information at each characteristic timestamp, the calculated load value of the vehicle at the target timestamp is obtained. The vehicle load value is calculated based on each of the aforementioned characteristic timestamps, and the average calculated load value within the target journey is obtained. The process of calculating the vehicle's load value and the vehicle's weighbridge load value to obtain the optimal vehicle load value includes the following steps: Determine whether the vehicle weighbridge load value is valid; If the vehicle weighbridge load value is valid, then the vehicle weighbridge load value is recorded as the optimal vehicle load value. If the vehicle weighbridge load value is invalid, then the average calculated load value is recorded as the optimal vehicle load value. The vehicle structure information includes the vehicle's curb weight and maximum advertised weight; obtaining the load status within the target journey based on the optimal vehicle load value and the vehicle structure information further includes the following steps: If the optimal load capacity of the vehicle is less than the vehicle's curb weight, the vehicle is determined to be unloaded. If the optimal load capacity of the vehicle is greater than the vehicle's curb weight but less than the vehicle's maximum advertised weight, then the vehicle is determined to be in a loaded state. If the optimal load capacity of the vehicle is greater than the maximum advertised weight of the vehicle, the vehicle is determined to be overloaded.

2. The vehicle load status identification method as described in claim 1, characterized in that, Before obtaining the optimal vehicle load value based on the calculated vehicle load value and the vehicle weighbridge load value, the following steps are included: When a vehicle passes through the road testing equipment within the target travel distance, the vehicle's weighbridge load value measured by the road testing equipment is obtained.

3. A vehicle load status identification device, characterized in that, The device includes: The information acquisition module is used to acquire vehicle driving information, vehicle structure information, and road surface type information of the target vehicle within the target journey, including the following steps: Select a number of characteristic timestamps between the target timestamp and the previous timestamp of the target timestamp; Obtain vehicle driving information, vehicle structure information, and road surface type information within the target journey at each of the aforementioned characteristic timestamps; Before obtaining the vehicle driving information, vehicle structure information, and road surface type information of the target vehicle within the target journey, the following steps are included: Obtain the vehicle's ACC status and speed within the target journey; Record the timestamps of all moments when the vehicle's ACC status is on and the vehicle speed is zero. Based on the target timestamp and the previous timestamp of the target timestamp, obtain the target distance traveled by the target vehicle; The calculated load value acquisition module is used to acquire the calculated load value of the vehicle within the target travel distance based on the vehicle driving information, the vehicle structure information, and the road surface type information within the target travel distance, including the following steps: Vehicle power information is obtained based on vehicle structure information at each feature timestamp and road surface type information within the target journey. Based on the vehicle power information and the vehicle driving information at each characteristic timestamp, the calculated load value of the vehicle at the target timestamp is obtained. The vehicle load value is calculated based on each of the aforementioned characteristic timestamps, and the average calculated load value within the target journey is obtained. The optimal value acquisition module is used to obtain the optimal load value of the vehicle based on the calculated load value of the vehicle and the load value of the vehicle weighbridge, including the following steps: Determine whether the vehicle weighbridge load value is valid; If the vehicle weighbridge load value is valid, then the vehicle weighbridge load value is recorded as the optimal vehicle load value. If the vehicle weighbridge load value is invalid, then the average calculated load value is recorded as the optimal vehicle load value. The status determination module is used to obtain the load status within the target journey based on the optimal vehicle load value and the vehicle structure information. The vehicle structure information includes the vehicle's curb weight and maximum advertised weight; obtaining the load status within the target journey based on the optimal vehicle load value and the vehicle structure information further includes the following steps: If the optimal load capacity of the vehicle is less than the vehicle's curb weight, the vehicle is determined to be unloaded. If the optimal load capacity of the vehicle is greater than the vehicle's curb weight but less than the vehicle's maximum advertised weight, then the vehicle is determined to be in a loaded state. If the optimal load capacity of the vehicle is greater than the maximum advertised weight of the vehicle, the vehicle is determined to be overloaded.

4. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 2.

5. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 2.

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