A method, system, terminal and medium for counting the working conditions of dump trucks

Abstract

The present invention belongs to the field of vehicle testing, and specifically discloses a method, system, terminal and medium for statistically analyzing the working conditions of dump trucks, which summarizes the vehicle working conditions to divide the working condition types; determines a number of vehicle working condition parameters that characterize various working condition types; determines the boundary conditions of each vehicle working condition parameter corresponding to each working condition type, and adds the corresponding relationship to a pre-built relationship mapping table; divides the vehicle mileage into equal mileage segments according to the vehicle length; obtains the vehicle operating parameters in real time during the vehicle operation, and determines the vehicle working condition parameters according to the vehicle operating parameters; analyzes the working condition type of each equal mileage segment based on the determined vehicle working condition parameters and the relationship mapping table; and performs the number statistics and mileage information statistics on the working condition type. The present invention can automatically and accurately capture the working condition information of the vehicle, without the need for a large amount of human resources to conduct field research, saving time and labor costs, and improving statistical efficiency and accuracy.

Description

Technical Field

[0001] The invention belongs to the field of vehicle testing, and in particular relates to a method, system, terminal and medium for statistically analyzing the working conditions of a dump truck. Background Art

[0002] Dump trucks are widely used in construction sites, mining, material transportation and other fields, each of which has its own unique usage environment and operating requirements. For example, on a construction site, vehicles may need to frequently move in a narrow space and unload heavy objects; while in mining, vehicles may face more severe road conditions and heavier load requirements. In the product design process of dump trucks, it is very important to accurately judge the vehicle usage scenario, distinguish the vehicle usage conditions, and obtain the mileage and mileage ratio of different conditions, so as to comprehensively evaluate and optimize the vehicle's durability, fuel economy, maintenance costs, etc.

[0003] Then, the main way to obtain information about the mileage and mileage ratio of users under different working conditions is to conduct field surveys to understand the usage scenarios of users' working conditions and judge their working conditions. This method has a limited number of user samples and requires a lot of human resources, a long time period, and high economic costs. Summary of the invention

[0004] In view of the current problems of high cost and low efficiency of field research, the present invention provides a method, system, terminal and medium for statistically analyzing the working conditions of dump trucks.

[0005] In order to solve the above problems, the technical solution adopted by the present invention is a method for statistically analyzing the working conditions of dump trucks, comprising the following steps: Summarize the vehicle operating conditions to classify the operating condition types; determining a number of vehicle operating parameters characterizing various types of operating conditions; Determine the boundary conditions of each vehicle operating condition parameter corresponding to each operating condition type, and add the corresponding relationship to a pre-built relationship mapping table; Divide the vehicle mileage into equal mileage segments according to the vehicle length; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

[0006] Preferably, the operating condition types include loading, unloading, empty construction site transportation, empty road transportation, fully loaded construction site transportation, and fully loaded road transportation.

[0007] Preferably, the vehicle operating parameters include cargo box status, vehicle speed, load, gear position, and engine output torque.

[0008] As a preferred method, the vehicle mileage is divided into equal mileage segments according to the vehicle length, specifically including: The mileage is taken as 5 to 10 times of the vehicle length.

[0009] Preferably, the vehicle operating parameters collected in real time include cargo box status signal, vehicle speed, engine speed, engine output torque, engine combustion torque, road slope angle, and vehicle acceleration.

[0010] Preferably, during the operation of the vehicle, vehicle operating parameters are obtained in real time from the cloud platform.

[0011] Preferably, determining the vehicle operating parameters according to the vehicle operating parameters includes determining the vehicle load, determining the gear position, and determining the engine output torque, specifically including: The engine output torque T is calculated by the following formula tq , T tq =(T C -T F )*T max / 100 Where, T C is the engine combustion torque, T F is the engine friction torque, T max is the engine reference torque; The load is calculated by the following formula m ,

[0012] In the formula, T tq The engine output torque is i g is the gearbox ratio, i 0 is the main transmission ratio, η is the transmission efficiency, r is the wheel rolling radius, δ is the rotational inertia coefficient, m 0 is the vehicle curb weight, C D is the drag coefficient, A is the frontal area of ​​the vehicle, u is the vehicle speed, ρ is the air density, g is the acceleration due to gravity, f is the rolling resistance, α is the road slope angle, ax is the vehicle acceleration; The transmission ratio G is calculated by the following formula i , G i = R Eng *2π*r / ( i 0 *u ) In the formula, R Eng is the engine speed; like G i ≥ i j -0.5 and G i <i j +0.5, where i j for j The gear ratio corresponding to the gear position is determined as j block.

[0013] On the other hand, the present invention also provides a dump truck usage condition statistics system, comprising: A relationship mapping table management module is used to construct a relationship mapping table and add the corresponding relationship between each determined working condition type and its boundary conditions of each vehicle working condition parameter in the constructed relationship mapping table; A real-time vehicle operating condition parameter determination module is used to obtain vehicle operating parameters in real time during vehicle operation and determine vehicle operating parameters based on the vehicle operating parameters; A working condition type analysis module, used for analyzing the working condition type of each equal mileage segment based on the determined vehicle working condition parameters and the relationship mapping table; The working condition information statistics module is used to count the number of working condition types and mileage information.

[0014] On the other hand, the present invention also provides a terminal, comprising: A memory, used for storing a dump truck usage condition statistics program; The processor is used to execute the following method steps when the dump truck usage condition statistics program is executed: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

[0015] On the other hand, the present invention further provides a computer-readable storage medium, on which a dump vehicle usage condition statistics program is stored, and when the dump vehicle usage condition statistics program is executed by a processor, the following method steps are implemented: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

[0016] The method, system, terminal and medium for counting the working conditions of dump trucks provided by the present invention have the following beneficial effects compared with the prior art: first, the working condition types and vehicle working condition parameters are divided, and the boundary conditions of the vehicle working condition reference corresponding to each working condition type are determined, and equal mileage segmentation is performed at the same time. Then, during the operation of the vehicle, the vehicle operation parameters are automatically obtained, and the vehicle working condition parameters are determined according to the vehicle operation parameters, and then the working condition types of each equal mileage segment are determined, and then the working condition type number and mileage proportion are automatically counted. The present invention can automatically and accurately capture the working condition information of the vehicle during operation by carefully summarizing and classifying the vehicle working conditions, determining the vehicle working condition parameters and boundary conditions that characterize various working condition types, and obtaining the vehicle operating parameters in real time. There is no need for a large amount of human resources to invest in field research, which greatly saves time and labor costs and improves statistical efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following briefly introduces the drawings required for use in the description. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 The present invention provides a flowchart of a method for statistically analyzing the working conditions of a dump truck.

[0018] Figure 2 The present invention provides a schematic block diagram of a dump truck usage condition statistics system.

[0019] Figure 3It is a schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in this specific embodiment. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of them. Based on the embodiments in this patent, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this patent.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0022] In view of the problem that the main method for obtaining information on users' usage mileage and mileage proportion under different working conditions is through field surveys, which requires a large amount of human resources, a long time period and high economic costs, the embodiment of the present invention proposes a method for statistically analyzing the working conditions of dump vehicles, which can realize the association between user usage scenarios and user vehicle information, identify the working conditions of user vehicles through parameterized user vehicle data, complete the statistics of working condition information, and provide data support for product design.

[0023] Figure 1 This is a flowchart of a method for statistically analyzing the usage conditions of dump vehicles provided by an embodiment of the present invention. The method summarizes the usage scenarios of dump vehicles, normalizes the user usage scenarios, and defines the user usage conditions. Then, the vehicle operating parameters are statistically analyzed through the vehicle information obtained through user big data collection, the parameter characteristics of different working conditions are distinguished, and a parameter matrix is ​​established. The boundaries of the user working condition parameter matrix are estimated to determine the parameter boundaries of different working conditions. The user working conditions are divided and information statistics are performed according to the parameter boundaries. According to different needs, Figure 1 The order of the steps in the flowcharts shown may be changed, and some may be omitted.

[0024] like Figure 1 As shown, the method includes the following steps.

[0025] S1, summarize the vehicle operating conditions to classify the operating condition types.

[0026] The use scenarios of the vehicle, including but not limited to the vehicle driving road information, vehicle load, vehicle speed, vehicle working process, etc., and summarize the use conditions. For example: conduct a working condition survey on dump trucks. The use scenario of dump trucks is mainly to transport construction waste from construction sites to construction waste dumping points; summarize the vehicle working conditions: divided into the following major aspects: loading, construction site transportation, road transportation, unloading; loading conditions: empty, fully loaded; driving speed ≤80km / h.

[0027] Based on the survey results, the working conditions are normalized, and the summarized working conditions are further classified and sorted to obtain more typical working conditions, and the characteristic information in the working conditions is sorted. For example, the working conditions of dump trucks can be further sorted into: ① loading and unloading: loading and unloading times; ② construction site transportation: transportation distance, load; ③ road transportation: vehicle speed, braking information, load, etc.

[0028] In this embodiment, the working condition types finally determined include loading, unloading, empty construction site transportation, empty road transportation, fully loaded construction site transportation, and fully loaded road transportation.

[0029] S2, determining a number of vehicle operating condition parameters characterizing various operating condition types.

[0030] According to the vehicle operating conditions and characteristic information obtained in step S1, the required vehicle operating parameters are determined, and the necessary parameter information is calculated and estimated based on the existing parameter information to obtain the completed parameter information. For example, the following information is required to determine the working condition of a dump truck: cargo compartment status signal (lifting / unloading), vehicle speed, brake signal, vehicle load (need to be calculated), gear position information (need to be calculated), engine output torque (need to be calculated), GPS signal, engine speed, engine combustion torque, engine friction torque. In this embodiment, the vehicle operating parameters finally determined include cargo box status, vehicle speed, load, gear position, and engine output torque.

[0031] S3, determining the boundary conditions of each vehicle operating condition parameter corresponding to each operating condition type, and adding the corresponding relationship to a pre-built relationship mapping table.

[0032] This embodiment determines the boundary conditions of each vehicle operating condition parameter corresponding to each operating condition type according to the operating condition type determined in step S1 and the vehicle operating condition parameter determined in step S2. For the convenience of subsequent use, a relationship mapping table is pre-constructed, and the above corresponding relationship is added to the mapping table. For example: the dump truck operating condition specifies the load distribution of the vehicle under empty and full load conditions, and specifies the vehicle speed distribution, gear distribution, and engine torque distribution under empty construction site transportation conditions, empty road transportation conditions, fully loaded construction site transportation conditions, and fully loaded road transportation conditions. Table 1 is a relationship mapping table.

[0033] Table 1: Relationship mapping table

[0034] S4, dividing the vehicle's mileage into equal mileage segments according to the vehicle length.

[0035] The continuous time domain data under each working condition are subjected to equal mileage S 0 Segment, S 0 It is necessary to make a comprehensive judgment based on the length of the vehicle and the consistency of the road quality. Generally, S 0 Take 5 to 10 times the vehicle length and conduct statistical analysis on the characteristic parameters in each equal mileage segment to clarify the relationship between the working conditions and characteristic parameters of each equal mileage segment.

[0036] S5, during the operation of the vehicle, obtaining vehicle operation parameters in real time, and determining vehicle operating condition parameters according to the vehicle operation parameters.

[0037] In this embodiment, in order to realize automatic statistics of vehicle operating condition information, during the operation of the vehicle, the vehicle transmits relevant vehicle operating parameters to the cloud platform, and the backend obtains the vehicle operating parameters from the cloud platform and then determines the vehicle operating parameters. As another optional implementation, the relevant vehicle operating parameters are obtained from the vehicle CAN information.

[0038] In this embodiment, in order to determine the cargo box state, vehicle speed, load, gear, and engine output torque, the vehicle operating parameters required to be obtained include cargo box state signal, vehicle speed, engine speed, engine output torque, engine combustion torque, road slope angle, and vehicle acceleration. Determining the vehicle operating parameters based on the vehicle operating parameters includes determining the vehicle load, determining the gear, and determining the engine output torque.

[0039] (1) Calculate the engine output torque T using the following formula: tq , T tq =(T C -T F )*T max / 100 Where, T C is the engine combustion torque, T F is the engine friction torque, T max is the engine reference torque.

[0040] (2) Calculate the load using the following formula: m ,

[0041] In the formula, T tq The engine output torque is i gis the gearbox ratio, i 0 is the main transmission ratio, η is the transmission efficiency, r is the wheel rolling radius, δ is the rotational inertia coefficient, m 0 is the vehicle curb weight, C D is the drag coefficient, A is the frontal area of ​​the vehicle, u is the vehicle speed, ρ is the air density, g is the acceleration due to gravity, f is the rolling resistance, α is the road slope angle, a x is the vehicle acceleration.

[0042] (3) Calculate the transmission ratio G using the following formula: i , G i = R Eng *2π*r / ( i 0 *u ) In the formula, R Eng is the engine speed; like G i ≥ i j -0.5 and G i <i j +0.5, where i j for j The gear ratio corresponding to the gear position is determined as j block.

[0043] S6, analyzing the operating condition type of each equal mileage segment based on the determined vehicle operating condition parameters and the relationship mapping table.

[0044] S7, performing frequency statistics and mileage information statistics on the working condition types.

[0045] Sort the user data and calculate the parameters. 0 Divide the data into equal mileage segments, count the characteristic parameters in each segment, determine the working condition corresponding to each segment based on the characteristic parameter value and the boundary determined in step S3, count the number of working conditions and mileage information, and clarify the user's working condition usage habits.

[0046] The method for statistically analyzing the operating conditions of dump trucks provided in this embodiment can automatically and accurately capture the operating condition information of the vehicle during operation by carefully summarizing and classifying the vehicle operating conditions and determining the vehicle operating condition parameters and boundary conditions that characterize various operating condition types, and obtaining the vehicle operating parameters in real time through on-board sensors. This method does not require a large amount of human resources to be invested in field research, greatly saving time and labor costs, and improving statistical efficiency and accuracy.

[0047] An embodiment of a method for collecting statistics on the operating conditions of a dump vehicle is described in detail above. Based on the method for collecting statistics on the operating conditions of a dump vehicle described in the above embodiment, an embodiment of the present invention also provides a system for collecting statistics on the operating conditions of a dump vehicle corresponding to the method.

[0048] Figure 2 is a schematic block diagram of a dump truck usage condition statistics system provided by an embodiment of the present invention. In this embodiment, the dump truck usage condition statistics system 200 can be divided into multiple functional modules according to the functions it performs, such as Figure 2 The functional modules may include: a relationship mapping table management module 210, a real-time vehicle operating condition parameter determination module 220, an operating condition type analysis module 230, and an operating condition information statistics module 240. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory.

[0049] The relationship mapping table management module 210 is used to construct a relationship mapping table, and add the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table.

[0050] The real-time vehicle operating condition parameter determination module 220 is used to obtain the vehicle operating parameters in real time during the vehicle operation process, and determine the vehicle operating condition parameters according to the vehicle operating parameters.

[0051] The operating condition type analysis module 230 is used to analyze the operating condition type of each equal mileage segment based on the determined vehicle operating condition parameters and the relationship mapping table.

[0052] The operating condition information statistics module 240 is used to perform frequency statistics and mileage information statistics on the operating condition types.

[0053] In an optional embodiment, the working condition types include loading, unloading, empty construction site transportation, empty road transportation, fully loaded construction site transportation, and fully loaded road transportation.

[0054] In an optional embodiment, the vehicle operating parameters include cargo box status, vehicle speed, load, gear position, and engine output torque.

[0055] In an optional embodiment, the vehicle operating parameters collected in real time include cargo box status signal, vehicle speed, engine speed, engine output torque, engine combustion torque, road slope angle, and vehicle acceleration.

[0056] In an optional embodiment, determining the vehicle operating parameters according to the vehicle operating parameters includes determining the vehicle load, determining the gear position, and determining the engine output torque, specifically including: The engine output torque T is calculated by the following formula tq , T tq =(T C -T F )*T max / 100 Where, T C is the engine combustion torque, T F is the engine friction torque, T max is the engine reference torque; The load is calculated by the following formula m ,

[0057] In the formula, T tq The engine output torque is i g is the gearbox ratio, i 0 is the main transmission ratio, η is the transmission efficiency, r is the wheel rolling radius, δ is the rotational inertia coefficient, m 0 is the vehicle curb weight, C D is the drag coefficient, A is the frontal area of ​​the vehicle, u is the vehicle speed, ρ is the air density, g is the acceleration due to gravity, f is the rolling resistance, α is the road slope angle, a x is the vehicle acceleration; The transmission ratio G is calculated by the following formula i , G i = R Eng *2π*r / ( i 0 *u ) In the formula,R Eng is the engine speed; like G i ≥ i j -0.5 and G i <i j +0.5, where i j for j The gear ratio corresponding to the gear position is determined as j block.

[0058] The dump vehicle usage condition statistics system of the present embodiment is used to implement the aforementioned dump vehicle usage condition statistics method. Therefore, the specific implementation method of the system can be seen in the embodiment section of the dump vehicle usage condition statistics method in the previous text. Therefore, its specific implementation method can refer to the description of the corresponding embodiments of each part, which will not be elaborated here.

[0059] In addition, since the dump truck usage condition statistics system of this embodiment is used to implement the aforementioned dump truck usage condition statistics method, its function corresponds to that of the aforementioned method and will not be described in detail here.

[0060] Figure 3 A schematic diagram of the structure of a terminal 300 provided in an embodiment of the present invention includes: a processor 310, a memory 320 and a communication unit 330. The processor 310 is used to implement the following steps when implementing the dump truck usage condition statistics program stored in the memory 320: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types. The terminal 300 includes a processor 310, a memory 320 and a communication unit 330. These components communicate via one or more buses. It can be understood by those skilled in the art that the structure of the server shown in the figure does not constitute a limitation of the present invention, and it can be a bus structure or a star structure, and can also include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0061] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 can perform some or all of the steps in the following method embodiments.

[0062] The processor 310 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 320, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0063] The communication unit 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0064] The present invention also provides a computer storage medium, wherein the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0065] The computer storage medium stores a dump truck usage condition statistics program, and when the dump truck usage condition statistics program is executed by a processor, the following steps are implemented: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

[0066] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0067] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, 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 integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0068] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0069] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0070] The above disclosure is only a preferred embodiment of the present invention, but the present invention is not limited thereto. Any non-creative changes that can be thought of by a person skilled in the art, as well as several improvements and modifications made without departing from the principle of the present invention, should fall within the protection scope of the present invention.

Claims

1. A method for calculating the working conditions of a dump truck, characterized in that: The following steps are involved: Summarize the vehicle operating conditions to classify the operating condition types; determining a number of vehicle operating parameters characterizing various types of operating conditions; Determine the boundary conditions of each vehicle operating condition parameter corresponding to each operating condition type, and add the corresponding relationship to a pre-built relationship mapping table; Divide the vehicle mileage into equal mileage segments according to the vehicle length; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating condition parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

2. The method for calculating the usage conditions of dump trucks according to claim 1, characterized in that: Working condition types include loading, unloading, empty construction site transportation, empty road transportation, fully loaded construction site transportation, and fully loaded road transportation.

3. The method for calculating the usage conditions of dump trucks according to claim 2, characterized in that: Vehicle operating parameters include cargo box status, vehicle speed, load, gear position, and engine output torque.

4. The method for calculating the usage conditions of dump trucks according to claim 3, characterized in that: The vehicle mileage is divided into equal mileage segments according to the vehicle length, including: The mileage is taken as 5 to 10 times of the vehicle length.

5. The method for calculating the usage conditions of dump trucks according to claim 3, characterized in that: The vehicle operating parameters collected in real time include cargo box status signal, vehicle speed, engine speed, engine output torque, engine combustion torque, road slope angle, and vehicle acceleration.

6. The method for calculating the usage conditions of dump trucks according to claim 5, characterized in that: During the operation of the vehicle, the vehicle operation parameters are obtained in real time from the cloud platform.

7. The method for calculating the usage conditions of dump trucks according to claim 5, characterized in that: Determining the vehicle operating parameters according to the vehicle operating parameters includes determining the vehicle load, determining the gear position, and determining the engine output torque, specifically including: The engine output torque T is calculated by the following formula tq , T tq =(T C -T F )*T max / 100 Where, T C is the engine combustion torque, T F is the engine friction torque, T max is the engine reference torque; The load is calculated by the following formula m , In the formula, T tq The engine output torque is i g is the gearbox ratio, i 0 is the main transmission ratio, η is the transmission efficiency, r is the wheel rolling radius, δ is the rotational inertia coefficient, m 0 is the vehicle curb weight, C D is the drag coefficient, A is the frontal area of ​​the vehicle, u is the vehicle speed, ρ is the air density, g is the acceleration due to gravity, f is the rolling resistance, α is the road slope angle, a x is the vehicle acceleration; The transmission ratio G is calculated by the following formula i , G i = R Eng *2π*r / （ i 0 *u ） In the formula, R Eng is the engine speed; like G i ≥ i j -0.5 and G i <i j +0.5, where i j for j The gear ratio corresponding to the gear position is determined as j block.

8. A dump truck operating condition statistics system, characterized in that: include: A relationship mapping table management module is used to construct a relationship mapping table and add the corresponding relationship between each determined working condition type and its boundary conditions of each vehicle working condition parameter in the constructed relationship mapping table; A real-time vehicle operating condition parameter determination module is used to obtain vehicle operating parameters in real time during vehicle operation and determine vehicle operating parameters based on the vehicle operating parameters; A working condition type analysis module, used for analyzing the working condition type of each equal mileage segment based on the determined vehicle working condition parameters and the relationship mapping table; The working condition information statistics module is used to count the number of working condition types and mileage information.

9. A terminal, characterized in that: include: A memory, used for storing a dump truck usage condition statistics program; The processor is used to implement the following method steps when executing the dump truck usage condition statistics program: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores a dump truck usage condition statistics program, and when the dump truck usage condition statistics program is executed by the processor, the following method steps are implemented: Constructing a relationship mapping table, and adding the corresponding relationship between each determined operating condition type and its boundary conditions of each vehicle operating condition parameter in the constructed relationship mapping table; During the operation of the vehicle, the vehicle operation parameters are obtained in real time, and the vehicle operating parameters are determined according to the vehicle operation parameters; According to the determined vehicle operating condition parameters, the operating condition type of each equal mileage section is analyzed based on a relationship mapping table; Perform frequency statistics and mileage information statistics on working condition types.

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