Load spectrum compilation method of engineering vehicle, electronic equipment and readable storage medium

Abstract

The invention discloses a load spectrum compilation method of an engineering vehicle, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring driving information of the engineering vehicle under different working conditions in at least one working cycle; the working cycle refers to a process from execution of one-time transportation to end of the transportation; the driving information at least comprises a driving speed; according to the driving information and the vehicle information of the engineering vehicle, the rotating speed of a power input shaft of the engineering vehicle under different working conditions in all the working cycles and the duration and the use frequency corresponding to the different working conditions in all the working cycles are obtained; acquiring torques of the power input shaft under different working conditions in each working cycle; and determining a load spectrum of the engineering vehicle based on the rotating speed, the torque, the driving speed, the duration and the use frequency. Therefore, the load spectrum of the engineering vehicle can be conveniently compiled, and the compilation efficiency and applicability of the load spectrum of the engineering vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering vehicles, and in particular to a method for compiling a load spectrum of an engineering vehicle, an electronic device and a computer-readable storage medium. Background Art

[0002] Load spectrum plays an extremely important role in the engineering field. It plays an irreplaceable role in the design, manufacture, use and maintenance of various machines and structures. Through the load spectrum, the load changes of parts can be essentially reflected, which helps to estimate the service life of the structure and conduct fatigue reliability analysis. In recent years, the application demand of engineering vehicles such as mining vehicles has been increasing, and the compilation of load spectrum for engineering vehicles has been under research. Summary of the invention

[0003] The purpose of the present application is to provide a method for compiling a load spectrum of an engineering vehicle, an electronic device and a computer-readable storage medium, which can realize convenient compilation of the load spectrum of an engineering vehicle and improve the compilation efficiency and applicability of the load spectrum of an engineering vehicle.

[0004] To achieve the above objectives:

[0005] In a first aspect, an embodiment of the present application provides a method for compiling a load spectrum of an engineering vehicle, comprising:

[0006] Acquiring driving information of the engineering vehicle under different working conditions in at least one working cycle; the working cycle refers to the process from the start of a transport to the end of the transport; the driving information at least includes the driving speed;

[0007] According to the driving information and the vehicle information of the engineering vehicle, the rotation speed of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, and the duration and usage frequency corresponding to the different working conditions in each of the working cycles are obtained;

[0008] Obtaining the torque of the power input shaft under different working conditions in each of the working cycles;

[0009] A load spectrum of the engineering vehicle is determined based on the rotational speed, the torque, the driving speed, the duration, and the usage frequency.

[0010] Optionally, the driving information further includes the driving distance; the vehicle information includes the wheel reducer speed ratio and the wheel rolling radius;

[0011] The obtaining, according to the driving information and the vehicle information of the engineering vehicle, the rotation speed of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, and the duration and usage frequency corresponding to the different working conditions in each of the working cycles, includes:

[0012] According to the driving speed of the engineering vehicle under the target working condition in the target working cycle, the speed ratio of the wheel reducer and the rolling radius of the wheel, the rotation speed of the power input shaft of the engineering vehicle under the target working condition in the target working cycle is obtained; the target working cycle is any working cycle, and the target working condition is any working condition;

[0013] According to the driving distance and driving speed of the engineering vehicle under the target working condition in the target working cycle, obtaining the duration corresponding to the target working condition in the target working cycle;

[0014] The usage frequency corresponding to the target operating condition in the target working cycle is determined according to the duration and the total duration corresponding to all operating conditions in the target working cycle.

[0015] Optionally, the driving information further includes slope, rolling resistance coefficient and total vehicle weight; the vehicle information further includes the number of driving wheels;

[0016] The obtaining of the torque of the power input shaft under different working conditions in each of the working cycles includes:

[0017] The torque of the power input shaft of the engineering vehicle under the target operating condition in the target working cycle is determined based on the total vehicle weight, rolling resistance coefficient, slope, the wheel-side reducer speed ratio and the number of drive wheels of the engineering vehicle under the target operating condition in the target working cycle.

[0018] Optionally, obtaining the torque of the power input shaft under different working conditions in each working cycle includes:

[0019] Acquire a torque detection signal sent by a torque detection device disposed on the power input shaft of the engineering vehicle; the torque detection device comprises a strain gauge mounted on the power input shaft and a signal acquisition transmitter connected to the strain gauge;

[0020] The torque detection signal is filtered to obtain the torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle.

[0021] Optionally, determining the load spectrum of the engineering vehicle based on the rotation speed, the torque, the driving speed, the duration and the usage frequency includes:

[0022] Based on the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, as well as the duration, usage frequency and driving speed corresponding to the different working conditions in each of the working cycles, the average speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average usage frequency and average driving speed corresponding to the different working conditions are obtained;

[0023] The load spectrum of the engineering vehicle is generated according to the average rotation speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average usage frequency and average driving speed corresponding to the different working conditions.

[0024] Optionally, the vehicle information further includes the maximum torque of the power input shaft and the number of driving wheels; the method further includes:

[0025] The limit load of the engineering vehicle is determined according to the driving information and the vehicle information; the limit load includes a maximum driving speed and a maximum climbing grade.

[0026] Optionally, determining the limit load of the engineering vehicle according to the driving information and the vehicle information includes:

[0027] According to the maximum torque of the power input shaft and the torque and speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, the power of the power input shaft under different working conditions in each working cycle is obtained;

[0028] Determining the rated power of the power input shaft of the engineering vehicle according to the maximum power;

[0029] Determining the maximum driving speed of the engineering vehicle according to the rated power, the maximum torque, the wheel reducer speed ratio and the wheel rolling radius;

[0030] The maximum climbing grade of the engineering vehicle is determined based on the maximum torque, the speed ratio of the wheel-side reducer, the number of the driving wheels, the wheel rolling radius, the fully loaded gross weight of the engineering vehicle and a preset rolling resistance coefficient.

[0031] Optionally, the engineering vehicle includes a mining vehicle, and the operating conditions include: a loading waiting condition, a starting condition, a fully loaded transport condition, an unloading waiting condition, and an empty condition.

[0032] In a second aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing a computer program, and when the processor runs the computer program, the load spectrum compilation method of the above-mentioned engineering vehicle is implemented.

[0033] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the load spectrum compilation method of the above-mentioned engineering vehicle is implemented.

[0034] The embodiments of the present application provide a method for compiling a load spectrum of an engineering vehicle, an electronic device, and a computer-readable storage medium, the method comprising: obtaining driving information of the engineering vehicle under different working conditions in at least one working cycle; a working cycle refers to a process from the start of a transport to the end of the transport; the driving information includes at least a driving speed; based on the driving information and the vehicle information of the engineering vehicle, obtaining the rotational speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the duration and usage frequency corresponding to the different working conditions in each working cycle; obtaining the torque of the power input shaft under different working conditions in each working cycle; and determining the load spectrum of the engineering vehicle based on the rotational speed, torque, driving speed, duration, and usage frequency. In this way, based on the driving information and vehicle information of the engineering vehicle under different working conditions in at least one working cycle, the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the duration and usage frequency corresponding to the different working conditions in each working cycle are obtained, and then the load spectrum of the engineering vehicle is generated, so that the load spectrum can reflect the actual usage of the engineering vehicle, and the load spectrum of the engineering vehicle can be easily compiled, which improves the compilation efficiency and applicability of the load spectrum of the engineering vehicle, and at the same time lays the foundation for fatigue reliability analysis of the engineering vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic flow chart of a method for compiling a load spectrum of an engineering vehicle provided in an embodiment of the present invention;

[0036] Figure 2 It is a schematic diagram of the structure of the power input shaft in an embodiment of the present invention;

[0037] Figure 3 Schematic diagram of the installation of a torque sensor in an embodiment of the present invention;

[0038] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0039] Figure numerals: 1-power input shaft, 2-frame, 3-planetary reducer, 4-wheel hub, 5-torque sensor, 50-strain gauge, 51-signal acquisition transmitter, 52-cable. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0041] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0042] It should be understood that, although the terms first, second, third, etc. may be used to describe various information in this article, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this article, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "at the time of..." or "when..." or "in response to determination". Furthermore, as used in this article, the singular forms "one", "one" and "the" are intended to also include plural forms, unless there is an opposite indication in the context. It should be further understood that the terms "comprising", "including" indicate that there are described features, steps, operations, elements, components, projects, kinds, and / or groups, but do not exclude the existence, occurrence or addition of one or more other features, steps, operations, elements, components, projects, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Thus, “A, B, or C” or “A, B and / or C” means “any of the following: A; B; C; A and B; A and C; B and C; A, B, and C.” An exception to this definition will occur only when a combination of elements, functions, steps, or operations are inherently mutually exclusive in some manner.

[0043] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are displayed in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and it can be performed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0044] It should be noted that, in this article, step codes such as S101, S102, etc. are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial limitation on the sequence. When implementing the step, those skilled in the art may execute S102 first and then S101, etc., but these should all be within the scope of protection of this application.

[0045] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application and have no specific meaning. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0047] See also Figure 1 , is a method for compiling a load spectrum of an engineering vehicle provided in an embodiment of the present application. The method for compiling a load spectrum of an engineering vehicle can be executed by a load spectrum compiling device for an engineering vehicle provided in an embodiment of the present application. The load spectrum compiling device for an engineering vehicle can be implemented in software and / or hardware, such as an electronic device such as a computer, a server or a processor. In this embodiment, the execution subject of the method for compiling a load spectrum of an engineering vehicle is an electronic device as an example. The method for compiling a load spectrum of an engineering vehicle provided in this embodiment includes:

[0048] Step S101: Acquire driving information of the engineering vehicle under different working conditions in at least one working cycle; the working cycle refers to the process from the start of a transport to the end of the transport; the driving information at least includes the driving speed.

[0049] Among them, the engineering vehicle is an engineering vehicle that needs to be loaded with a load spectrum, and can be set according to actual needs, such as a mining vehicle such as a mine car. Driving information refers to information related to vehicle driving, including but not limited to driving speed (can be referred to as speed), driving distance, slope, etc. In the process of a single engineering vehicle or multiple engineering vehicles of the same model performing a transportation task, driving information can be collected through the existing information collection or collection device of the engineering vehicle itself and / or the information collection or collection device set to obtain the driving information of the engineering vehicle under different working conditions in each working cycle. For example, the driving speed can be obtained through the speed sensor of the engineering vehicle itself, and the slope can be obtained through the slope sensor set at the front end of the engineering vehicle. From the beginning of a transportation by the engineering vehicle to the end of this transportation, that is, the process of waiting to start the next transportation, is regarded as a working cycle. In a working cycle, the engineering vehicle may include multiple different working conditions. Taking the engineering vehicle as a mining vehicle as an example, the working conditions in a working cycle may include loading waiting conditions, starting conditions, fully loaded transportation conditions, unloading waiting conditions, and unloaded conditions. It should be noted that, since the driving environment under each working condition may vary, the driving information under each working condition in this embodiment may be regarded as the average driving information under each working condition.

[0050] For example, taking the engineering vehicle as a mining vehicle, the mining vehicle is used to transport ore, coal, etc., and travels between the mining site and the unloading site. During work, it is generally necessary to climb with heavy load and go downhill without load. The road conditions and usage requirements of each mining area are different, so it is necessary to count the road conditions and usage requirements of typical mining areas in order to formulate accurate usage conditions. The information that needs to be counted includes the road slope, the distance of each slope, the speed of each slope, the rolling resistance coefficient of the mining vehicle on the road, etc. The data counted for each work cycle is shown in Table 1.

[0051] Table 1

[0052]

[0053] Step S102: According to the driving information and the vehicle information of the engineering vehicle, the rotation speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the duration and usage frequency corresponding to the different working conditions in each working cycle are obtained.

[0054] The vehicle information may include the wheel reducer speed ratio, wheel rolling radius, maximum torque of the power input shaft, number of driving wheels, etc. Since the driving information of the engineering vehicle under different working conditions in at least one working cycle can be used to characterize the operating performance of the power input shaft of the engineering vehicle, the speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle and the duration and usage frequency corresponding to different working conditions in each working cycle can be calculated based on the driving information and the vehicle information of the engineering vehicle.

[0055] In one embodiment, the driving information further includes the driving distance; the vehicle information includes the wheel reducer speed ratio and the wheel rolling radius; according to the driving information and the vehicle information of the engineering vehicle, the speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, and the duration and usage frequency corresponding to the different working conditions in each working cycle are obtained, including:

[0056] According to the driving speed of the engineering vehicle under the target working condition in the target working cycle, the speed ratio of the wheel reducer and the rolling radius of the wheel, the speed of the power input shaft of the engineering vehicle under the target working condition in the target working cycle is obtained; the target working cycle is any working cycle, and the target working condition is any working condition;

[0057] According to the driving distance and driving speed of the engineering vehicle under the target working condition in the target working cycle, the duration corresponding to the target working condition in the target working cycle is obtained;

[0058] The usage frequency corresponding to the target working condition in the target working cycle is determined according to the duration and the total duration corresponding to all working conditions in the target working cycle.

[0059] The speed n (in rpm) of the power input shaft of the engineering vehicle under the target working condition in the target working cycle can be calculated according to the formula Calculation is performed, where v is the driving speed in km / h; R is the wheel reducer speed ratio, and r is the wheel rolling radius in m. When the wheel reducer speed ratio and wheel rolling radius are known fixed values, combined with the driving speed of the engineering vehicle under the target working condition in the target working cycle, the speed of the power input shaft of the engineering vehicle under the target working condition in the target working cycle can be obtained.

[0060] Among them, according to the driving distance and driving speed of the engineering vehicle under the target working condition in the target working cycle, the average driving time corresponding to the target working condition of the engineering vehicle in the target working cycle can be calculated, which can be considered as the driving time corresponding to the target working condition of the engineering vehicle in the target working cycle. Combined with the total time corresponding to all working conditions in the target working cycle, the usage frequency corresponding to the target working condition in the target working cycle can be calculated. For example, according to the statistical data in Table 1, the time t (in seconds) corresponding to each working condition in each working cycle can be first calculated based on the following solution formula, so as to obtain the total time t of each cycle 总 , and then find out the usage frequency η corresponding to each working condition in each working cycle, and the solution formula is as follows:

[0061]

[0062] t 总 =t1+t2+t3+t4+…+t n

[0063]

[0064] Among them, x is the driving distance, v is the driving speed, and n is the number of working conditions. In this way, the speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle can be quickly and accurately obtained, as well as the duration and usage frequency corresponding to different working conditions in each working cycle, further improving the efficiency of compiling the load spectrum of the engineering vehicle.

[0065] Step S103: Obtain the torque of the power input shaft under different working conditions in each working cycle.

[0066] The torque of the power input shaft under different working conditions in each working cycle can be acquired by a set torque sensor or obtained by theoretical calculation.

[0067] In one embodiment, the driving information further includes the slope, the rolling resistance coefficient and the total weight of the vehicle; the vehicle information further includes the number of driving wheels; and obtaining the torque of the power input shaft under different working conditions in each working cycle includes:

[0068] The torque of the power input shaft of the engineering vehicle under the target working condition in the target working cycle is determined based on the gross vehicle weight, rolling resistance coefficient, slope, wheel-end reducer speed ratio and number of drive wheels of the engineering vehicle under the target working condition in the target working cycle.

[0069] Among them, according to the formula Calculate the torque of the power input shaft of the engineering vehicle under the target working condition in the target working cycle, m is the total weight of the engineering vehicle under the target working condition, which may be the unloaded weight of the engineering vehicle or the fully loaded weight of the engineering vehicle, g is the acceleration of gravity, r is the wheel rolling radius, i is the slope, a is the rolling resistance coefficient, R is the wheel reducer speed ratio, and b is the number of drive wheels. The wheel reducer speed ratio, wheel rolling radius and the number of drive wheels are fixed values ​​for engineering vehicles and are related to the model and performance of the engineering vehicle.

[0070] In one embodiment, obtaining the torque of the power input shaft under different working conditions in each working cycle includes:

[0071] Acquire a torque detection signal sent by a torque detection device installed on a power input shaft of an engineering vehicle; the torque detection device includes a strain gauge installed on the power input shaft and a signal acquisition transmitter connected to the strain gauge;

[0072] The torque detection signal is filtered to obtain the torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle.

[0073] Among them, the torque detection device arranged on the power input shaft of the engineering vehicle can upload the detected torque detection signal in real time or periodically, and the electronic device can obtain the torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle by filtering the torque detection signal.

[0074] For example, the engineering vehicle is a mining vehicle and the torque detection device is a torque sensor. The mining vehicle generally has a heavy load and requires a large driving torque. A wheel-side reducer is usually required to reduce speed and increase torque. The structure of the wheel-side reducer is as follows: Figure 2 As shown, the power input shaft 1 is connected to the drive motor or differential as the driving shaft of the wheel-side reducer, the frame 2 is fixed on the frame, the power input shaft 1 is connected to the planetary reducer 3, the planetary reducer 3 is connected to the wheel hub 4, and the wheel hub 4 is installed with a tire. The power input shaft 1 drives the wheel hub 4 to rotate after the planetary reducer 3 reduces the speed and increases the torque, thereby driving the tire to rotate to achieve walking.

[0075] When it is necessary to obtain the torque T of the power input shaft under various working conditions through the torque sensor, the strain gauge 50 in the torque sensor 5 can be attached to the half shaft of the power input shaft 1, the signal acquisition and transmitter 51 can be tied to the half shaft, and the strain gauge 50 and the signal acquisition transmitter 51 are connected through a cable 52, such as Figure 3 As shown, by performing signal processing such as filtering on the collected torque data, the torque of the power input shaft 1 under various working conditions is obtained.

[0076] In this way, by providing a variety of ways to obtain the torque of the power input shaft, the operation is flexible and convenient, and the compilation efficiency and applicability of the engineering vehicle load spectrum are further improved.

[0077] Step S104: Determine the load spectrum of the engineering vehicle based on the rotation speed, torque, driving speed, duration and frequency of use.

[0078] Among them, the load spectrum of the engineering vehicle is the torque, rotation speed, driving speed (also known as vehicle speed), duration and frequency of use of the power input shaft under different working conditions.

[0079] In one embodiment, the load spectrum of the engineering vehicle is determined based on the rotation speed, torque, driving speed, duration and usage frequency, including:

[0080] Based on the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the duration, use frequency and driving speed corresponding to the different working conditions in each working cycle, the average speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average use frequency and average driving speed corresponding to the different working conditions are obtained;

[0081] The load spectrum of the engineering vehicle is generated according to the average rotation speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average usage frequency and average driving speed corresponding to the different working conditions.

[0082] Specifically, after obtaining the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the driving speed, duration and usage frequency under different working conditions in each working cycle, the respective average values ​​are calculated to obtain the average speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average driving speed, average duration and average usage frequency corresponding to the different working conditions, thereby generating a load spectrum of the engineering vehicle.

[0083] Exemplarily, the load spectrum of the engineering vehicle is shown in Table 2, where the different operating condition numbers in Table 2 are used to distinguish different operating conditions, the speed and torque of the power input shaft are the calculated average speed and average torque, respectively, and the driving speed, duration and usage frequency are the calculated average driving speed, average duration and average usage frequency, respectively.

[0084] Table 2

[0085]

[0086] In summary, in the load spectrum compilation method for engineering vehicles provided in the above embodiments, based on the driving information and vehicle information of the engineering vehicle under different working conditions in at least one working cycle, the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle, as well as the duration and usage frequency corresponding to the different working conditions in each working cycle are obtained, and then the load spectrum of the engineering vehicle is generated, so that the load spectrum can reflect the actual usage of the engineering vehicle, and the load spectrum of the engineering vehicle can be compiled conveniently, which improves the compilation efficiency and applicability of the load spectrum of the engineering vehicle, and at the same time lays the foundation for fatigue reliability analysis of engineering vehicles.

[0087] In one embodiment, the vehicle information further includes the maximum torque of the power input shaft and the number of driving wheels; the method further includes:

[0088] Determine the ultimate load of the engineering vehicle based on driving information and vehicle information; the ultimate load includes the maximum driving speed and maximum climbing grade.

[0089] The ultimate load of the engineering vehicle is used to reflect the ultimate performance of the engineering vehicle, and may include the maximum torque of the power input shaft, the maximum climbing grade (also referred to as the maximum drivable grade) and the corresponding driving speed. Since the driving information of the engineering vehicle under different working conditions in at least one working cycle and the vehicle information of the engineering vehicle are related to the ultimate load of the engineering vehicle, the ultimate load of the engineering vehicle can be obtained based on the driving information and the vehicle information.

[0090] In one embodiment, determining the limit load of the engineering vehicle according to the driving information and the vehicle information includes:

[0091] According to the maximum torque of the power input shaft and the torque and speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, the power of the power input shaft under different working conditions in each working cycle is obtained;

[0092] Determine the rated power of the power input shaft of the engineering vehicle based on the maximum power;

[0093] Determine the maximum speed of the engineering vehicle based on the rated power, maximum torque, wheel reducer ratio and wheel rolling radius;

[0094] The maximum climbing grade of the engineering vehicle is determined based on the maximum torque, the speed ratio of the wheel-end reducer, the number of drive wheels, the wheel rolling radius, the total weight of the engineering vehicle at full load, and the preset rolling resistance coefficient.

[0095] Among them, when the maximum torque of the power input shaft and the torque and speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle are known, the formula Calculate the power P of the power input shaft under different working conditions in each working cycle, where n is the speed of the power input shaft and T is the torque of the power input shaft. After obtaining the power of the power input shaft under different working conditions in each working cycle, the maximum power P can be selected. max , then according to the formula P 额 =c×P max Calculate the rated power P of the power input shaft 额 , c is the utilization coefficient.

[0096] Among them, the limit load of the engineering vehicle can be calculated according to the rated power of the power input shaft. The limit load includes the maximum torque of the power input shaft, the maximum climbing grade of the engineering vehicle and the corresponding maximum driving speed, which reflects the limit performance of the engineering vehicle. Here, due to the maximum torque T of the power input shaft max is known, and can be calculated according to the formula The power at the power input shaft is the rated power and the torque is T max When the power input shaft corresponds to the speed n, and according to the formula The maximum driving speed corresponding to the maximum torque of the power input shaft, that is, the limit speed, can be calculated. The corresponding calculation formula can be expressed as:

[0097] According to the known maximum torque T of the power input shaft max , according to the formula The maximum climbing grade i of the engineering vehicle can be calculated max In this formula, m is the fully loaded gross weight of the engineering vehicle, and a is the preset rolling resistance coefficient. In addition, the limit load of the engineering vehicle can be added to the load spectrum of the engineering vehicle to improve the comprehensiveness of the load spectrum information. In this way, the limit load of the engineering vehicle is determined by driving information and vehicle information, which is convenient to operate and highly accurate, further improving the compilation efficiency and applicability of the load spectrum of the engineering vehicle.

[0098] Based on the same inventive concept as the above embodiments, an embodiment of the present invention provides an electronic device, such as Figure 4 As shown, the electronic device includes: a processor 310 and a memory 311 storing a computer program; wherein, Figure 4 The processor 310 shown in the figure is not used to indicate that the number of the processor 310 is one, but is only used to indicate the positional relationship of the processor 310 relative to other devices. In actual applications, the number of the processor 310 may be one or more; similarly, Figure 4The memory 311 shown in the figure has the same meaning, that is, it is only used to refer to the position relationship of the memory 311 relative to other devices. In practical applications, the number of memories 311 can be one or more. When the processor 310 runs the computer program, the load spectrum compilation method of the engineering vehicle described above is implemented.

[0099] The electronic device may also include: at least one network interface 312. The various components in the electronic device are coupled together via a bus system 313. It is understood that the bus system 313 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 313 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 313 is not used in the following examples. Figure 4 Various buses are labeled as bus system 313.

[0100] The memory 311 may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. The nonvolatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAM bus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 311 described in the embodiments of the present invention is intended to include but is not limited to these and any other suitable types of memories.

[0101] The memory 311 in the embodiment of the present invention is used to store various types of data to support the operation of the electronic device. Examples of these data include: any computer program used to operate on the electronic device, such as an operating system and an application; contact data; phone book data; messages; pictures; videos, etc. Among them, the operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application program may include various applications, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. Here, the program that implements the method of the embodiment of the present invention may be included in the application program.

[0102] Based on the same inventive concept as the above-mentioned embodiment, this embodiment further provides a computer storage medium, in which a computer program is stored. The computer storage medium may be a ferromagnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); it may also be various devices including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. When the computer program stored in the computer storage medium is executed by the processor, the load spectrum compilation method of the engineering vehicle described above is implemented. For the specific steps implemented when the computer program is executed by the processor, please refer to Figure 1 The description of the illustrated embodiment will not be repeated here.

[0103] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] In this document, the terms "comprises," "comprising," or any other variations thereof, are intended to cover a non-exclusive inclusion of elements other than those listed and may also include additional elements not expressly listed.

[0105] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for compiling a load spectrum of an engineering vehicle, characterized in that: include: Acquiring driving information of the engineering vehicle under different working conditions in at least one working cycle; the working cycle refers to the process from the start of a transport to the end of the transport; the driving information at least includes the driving speed; According to the driving information and the vehicle information of the engineering vehicle, the rotation speed of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, and the duration and usage frequency corresponding to the different working conditions in each of the working cycles are obtained; Obtaining the torque of the power input shaft under different working conditions in each of the working cycles; A load spectrum of the engineering vehicle is determined based on the rotational speed, the torque, the driving speed, the duration, and the usage frequency.

2. The method according to claim 1, characterized in that The driving information also includes the driving distance; the vehicle information includes the wheel reducer speed ratio and the wheel rolling radius; The obtaining, according to the driving information and the vehicle information of the engineering vehicle, the rotation speed of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, and the duration and usage frequency corresponding to the different working conditions in each of the working cycles, includes: According to the driving speed of the engineering vehicle under the target working condition in the target working cycle, the speed ratio of the wheel reducer and the rolling radius of the wheel, the rotation speed of the power input shaft of the engineering vehicle under the target working condition in the target working cycle is obtained; the target working cycle is any working cycle, and the target working condition is any working condition; According to the driving distance and driving speed of the engineering vehicle under the target working condition in the target working cycle, obtaining the duration corresponding to the target working condition in the target working cycle; The usage frequency corresponding to the target operating condition in the target working cycle is determined according to the duration and the total duration corresponding to all operating conditions in the target working cycle.

3. The method according to claim 2, characterized in that The driving information also includes slope, rolling resistance coefficient and total vehicle weight; the vehicle information also includes the number of driving wheels; The obtaining of the torque of the power input shaft under different working conditions in each of the working cycles includes: The torque of the power input shaft of the engineering vehicle under the target operating condition in the target working cycle is determined based on the total vehicle weight, rolling resistance coefficient, slope, the wheel-side reducer speed ratio and the number of drive wheels of the engineering vehicle under the target operating condition in the target working cycle.

4. The method according to claim 1, characterized in that: The obtaining of the torque of the power input shaft under different working conditions in each of the working cycles includes: Acquire a torque detection signal sent by a torque detection device disposed on the power input shaft of the engineering vehicle; the torque detection device comprises a strain gauge mounted on the power input shaft and a signal acquisition transmitter connected to the strain gauge; The torque detection signal is filtered to obtain the torque of the power input shaft of the engineering vehicle under different working conditions in each working cycle.

5. The method according to claim 1, characterized in that The step of determining the load spectrum of the engineering vehicle based on the rotation speed, the torque, the driving speed, the duration, and the usage frequency includes: Based on the speed and torque of the power input shaft of the engineering vehicle under different working conditions in each of the working cycles, as well as the duration, usage frequency and driving speed corresponding to the different working conditions in each of the working cycles, the average speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average usage frequency and average driving speed corresponding to the different working conditions are obtained; The load spectrum of the engineering vehicle is generated according to the average rotation speed and average torque of the power input shaft of the engineering vehicle under different working conditions, as well as the average duration, average usage frequency and average driving speed corresponding to the different working conditions.

6. The method according to any one of claims 1 to 5, characterized in that The vehicle information also includes the maximum torque of the power input shaft and the number of driving wheels; the method also includes: The limit load of the engineering vehicle is determined according to the driving information and the vehicle information; the limit load includes a maximum driving speed and a maximum climbing grade.

7. The method according to claim 6, characterized in that The determining the limit load of the engineering vehicle according to the driving information and the vehicle information includes: According to the maximum torque of the power input shaft and the torque and speed of the power input shaft of the engineering vehicle under different working conditions in each working cycle, the power of the power input shaft under different working conditions in each working cycle is obtained; Determining the rated power of the power input shaft of the engineering vehicle according to the maximum power; Determining the maximum driving speed of the engineering vehicle according to the rated power, the maximum torque, the wheel reducer speed ratio and the wheel rolling radius; The maximum climbing grade of the engineering vehicle is determined based on the maximum torque, the speed ratio of the wheel-side reducer, the number of the driving wheels, the wheel rolling radius, the fully loaded gross weight of the engineering vehicle and a preset rolling resistance coefficient.

8. The method according to claim 1, characterized in that The engineering vehicle includes a mining vehicle, and the operating conditions include: a loading waiting condition, a starting condition, a fully loaded transport condition, an unloading waiting condition, and an empty condition.

9. An electronic device, characterized in that: include: A processor and a memory storing a computer program, wherein when the processor runs the computer program, the method for compiling a load spectrum of an engineering vehicle according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the load spectrum compilation method for an engineering vehicle according to any one of claims 1 to 8 is implemented.

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