Dumper carriage parametric modeling method and system

Abstract

The invention relates to the technical field of dumpers, in particular to a dumper compartment parameterized modeling method and system, and the method comprises the steps: obtaining vehicle driving parameters, compartment pressure parameters, material attribute parameters and operation environment parameters in a full-load state; according to the vehicle driving parameters and the compartment pressure parameters, the contact degree of materials in the compartment and different areas in the compartment is evaluated; according to the contact degree evaluation result, the material attribute parameters and the operation environment parameters are combined, and the material compartment sticking degrees of different areas in the compartment are evaluated; and according to the material sticking degrees of different areas in the compartment, the easy-to-stick compartment area is identified, and anti-sticking compartment optimization is carried out on the easy-to-stick compartment area. According to the method, the anti-sticking performance and the dumping efficiency of the carriage are effectively improved by evaluating the material sticking degrees of different areas in the carriage and specifically adjusting the carriage design parameters of the easy-sticking areas.

Description

Technical Field

[0001] The present application relates to the technical field of dump trucks, and in particular to a parametric modeling method and system for a dump truck compartment. Background Art

[0002] Dump trucks are heavy-duty vehicles specially used for transporting and unloading bulk materials such as coal, sand, gravel, and earth. They are widely used in construction, mining, agriculture and other fields due to their large load capacity, fast turnover speed and strong flexibility.

[0003] As a key component of heavy-duty transport equipment, the design of dump truck compartments must fully consider various complex and changing working environments and working conditions. However, during the dumping process of bulk materials, the dump truck compartments generally have the problem of materials sticking to the compartments, which makes it difficult to dump the materials in the compartments.

[0004] The existing parametric modeling method for dump truck compartments ignores the impact of the vehicle's driving state on the degree of material sticking to the compartment when evaluating the degree of material sticking to the compartment. Different driving states of the vehicle, such as acceleration, braking, and turning, will cause dynamic changes in the distribution of materials in the compartment, resulting in changes in the degree of contact between the materials and different areas of the compartment. At the same time, factors such as the moisture content of the materials and the operating environment temperature can directly affect the occurrence of wet and frozen material sticking. Therefore, the neglect of the above factors makes it impossible for the existing methods to perform targeted optimization according to the differences in the degree of material sticking to the compartment in different areas, thereby reducing the dump truck's dumping efficiency under complex working conditions. Summary of the invention

[0005] In order to overcome the defects and shortcomings of the prior art, the present application provides a parametric modeling method and system for a dump truck compartment, which effectively improves the anti-sticking performance of the compartment and improves the dump truck's dumping efficiency by evaluating the degree of material sticking to the compartment in different areas inside the compartment and adjusting the compartment design parameters in areas prone to sticking to the compartment.

[0006] In order to achieve the above objectives, this application adopts the following technical solutions: In a first aspect, the present application provides a method for parameterized modeling of a dump truck compartment, comprising the following steps: Obtain vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters under full load; According to the vehicle driving parameters and the cabin pressure parameters, the contact degree between the materials in the cabin and different areas inside the cabin is evaluated; According to the contact degree assessment results and combined with material attribute parameters and working environment parameters, the degree of material sticking to the carriage in different areas inside the carriage is assessed; According to the degree of material sticking in different areas of the carriage, the areas prone to sticking are identified and the anti-sticking optimization is performed on the areas prone to sticking.

[0007] Optionally, the step of evaluating the contact degree between the material in the carriage and different areas inside the carriage includes: Obtain vehicle driving parameters and cabin pressure parameters; The material inertia influence coefficient is calculated through the vehicle driving parameters. The material inertia influence coefficient is used to evaluate the consistency between the vehicle acceleration direction and the carriage support force direction; The regional contact index between the material and different areas inside the carriage is calculated by combining the material inertia influence coefficient with the carriage pressure parameter. The regional contact index is used to evaluate the degree of contact between the material and different areas inside the carriage. The calculation formula of the regional contact index is as follows: ; In the above formula Indicates the compartment area Middle The pressure value of the sensor, Indicates the compartment area The average pressure of all sensors in Indicates the compartment area The number of sensors in Indicates the vehicle acceleration value, represents the mean vehicle acceleration, Indicates the material inertia influence coefficient, represents the first adjustment factor, Represents the regional contact index.

[0008] Optionally, the calculation formula of the material inertia influence coefficient is as follows: ; In the above formula represents the vehicle acceleration vector, Indicates the compartment area The support force vector for the material is the vector perpendicular to the plane of the carriage and pointing to the interior of the carriage. and Represents vectors and vector The model, represents the dot product, Indicates the material inertia influence coefficient.

[0009] Optionally, the evaluating the degree of material sticking to the carriage in different areas of the carriage includes: Obtain material attribute parameters and operating environment parameters, and obtain regional contact index; Calculate the material sticking influence coefficient through material attribute parameters and working environment parameters; The material sticking index is calculated by combining the regional contact index and the material sticking influence coefficient. The material sticking index is used to evaluate the degree of material sticking in different areas of the carriage. The calculation formula of the material sticking index is as follows: ; In the above formula represents the regional contact index, Indicates the material sticking to the compartment influence coefficient, represents the area contact weight, Indicates the weight of the material sticking to the compartment. Indicates the material stickiness index.

[0010] Optionally, the calculation formula of the material sticking to the compartment influence coefficient is as follows: ; In the above formula Indicates the moisture content of the material. Indicates the preset material moisture content threshold. Indicates the operating environment temperature. Indicates the maximum value of the preset operating environment temperature range. Indicates the minimum value of the preset operating environment temperature range. represents the indicator function, when hour, ,when or hour, , represents the second adjustment factor, Indicates the influence coefficient of material sticking to the compartment.

[0011] Optionally, the identifying the areas prone to sticking to the carriage according to the degree of material sticking to the carriage in different areas of the carriage and optimizing the areas prone to sticking to the carriage to prevent the areas from sticking to the carriage includes: Obtain the material sticking index of different areas of the carriage, and mark the carriage area where the material sticking index is greater than the preset material sticking threshold as an easy-to-stick area; The easy-to-stick compartment area is optimized for anti-sticking, and the anti-sticking compartment optimization method is one or more of applying an anti-sticking coating on the surface of the easy-to-stick compartment area, performing an arc transition treatment on the structure of the easy-to-stick compartment area, and heating the easy-to-stick compartment area.

[0012] It should be noted here that the first adjustment factor, the second adjustment factor, the regional contact weight, the material sticking weight, the preset material moisture content threshold, the preset operating environment temperature range and the preset material sticking threshold are obtained as follows: 5000 sets of vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters are collected to distinguish whether the degree of material sticking to the compartment meets the compartment dumping requirements, and the vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters are substituted into the material sticking index calculation formula for calculation, and the calculated material sticking index and the distinction result are simultaneously imported into the fitting software, and the optimal first adjustment factor, the second adjustment factor, the regional contact weight, the material sticking weight, the preset material moisture content threshold, the preset operating environment temperature range and the preset material sticking threshold that meet the distinction accuracy of the distinction result are output.

[0013] In a second aspect, the present application provides a dump truck compartment parametric modeling system, comprising: A parameter acquisition module is used to obtain vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters under full load; A contact degree assessment module is used to assess the contact degree between the materials in the carriage and different areas inside the carriage according to the vehicle driving parameters and the carriage pressure parameters; The sticking degree assessment module is used to assess the sticking degree of materials in different areas of the carriage based on the contact degree assessment results combined with material attribute parameters and operating environment parameters; The anti-sticking compartment optimization module is used to identify the areas prone to sticking to the compartment according to the degree of material sticking to the compartment in different areas inside the compartment and to perform anti-sticking optimization on the areas prone to sticking to the compartment.

[0014] In a third aspect, the present application provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a parametric modeling method for a dump truck compartment by calling the computer program stored in the memory.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a parametric modeling method for a dump truck compartment.

[0016] Compared with the prior art, this application has the following advantages and beneficial effects: The present application quantitatively evaluates the degree of contact between the material in the carriage and different areas inside the carriage based on the vehicle's driving status and the pressure distribution in the carriage, and then evaluates the degree of material sticking to the carriage in different areas inside the carriage in combination with the material properties and the operating environment conditions. According to the degree of material sticking to the carriage in different areas inside the carriage, the areas prone to sticking to the carriage are identified and the carriage design parameters of the areas prone to sticking are adjusted in a targeted manner, thereby effectively improving the anti-sticking performance of the carriage and improving the dumping efficiency of the dump truck. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 It is a schematic diagram of the overall process of a parameterized modeling method for a dump truck compartment provided in an embodiment of the present application; Figure 2 is a schematic cross-sectional view of a dump truck compartment provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of a dump truck compartment parametric modeling system provided in an embodiment of the present application; Figure 4It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0019] See also Figure 1 , Figure 1 This is a schematic diagram of the overall process of a parametric modeling method for a dump truck compartment provided in an embodiment of the present application, which specifically includes the following steps: S110: Acquire vehicle driving parameters, compartment pressure parameters, material property parameters, and operating environment parameters in a fully loaded state, wherein the vehicle driving parameters include vehicle acceleration data, and the vehicle acceleration data is acquired through a vehicle acceleration sensor, and the vehicle acceleration sensor is fixed to the main beam of the frame; The cabin pressure parameters include the pressure data of different cabin areas. The pressure data is obtained through thin-film pressure sensors. The laying method of thin-film pressure sensors is as follows: (1) The cabin interior is divided into five areas, namely the cabin front panel area, the cabin left panel area, the cabin right panel area, the cabin rear panel area and the cabin floor area; (2) The sensors are arranged into a grid-shaped sensor matrix in the horizontal direction (along the length of the railing) and the vertical direction (along the width of the railing) in each of the above areas. The sensor spacing is 10 cm to cover the entire area; (3) The output of the sensor matrix is ​​connected to a centralized data acquisition device to collect pressure data in real time; The material attribute parameters include the material moisture content data, which is obtained through a humidity sensor located at the center of the floor area of ​​the carriage; The working environment parameters include working environment temperature data, and the working environment temperature data is obtained through a temperature sensor, and the temperature sensor is fixed to the main beam of the frame.

[0020] S120: evaluating the contact degree between the material in the carriage and different areas inside the carriage according to the vehicle driving parameters and the carriage pressure parameters; See also Figure 2 , Figure 2: is a schematic diagram of a cross-section of a dump truck compartment provided in an embodiment of the present application. The compartment is generally composed of a front panel, left and right side panels, a rear panel and a bottom panel. The influence of the vehicle driving state on the degree of material sticking to the compartment is mainly manifested in the material distribution and contact surface pressure changes caused by dynamic acceleration. When the vehicle is in different driving states such as acceleration, braking and turning, the material distribution in the compartment will change under the action of inertia, resulting in different degrees of contact between the material and different areas of the compartment (front panel, left and right side panels, rear panel and bottom panel). For example, when the vehicle brakes, the material will be subjected to a greater positive pressure, increasing the possibility of the front panel of the compartment sticking to the compartment. When turning, the lateral centrifugal force will cause the material to increase the contact degree with the side panels of the compartment, thereby increasing the degree of sticking to the compartment in the side panel area. The degree of contact between the material in the compartment and different areas inside the compartment is evaluated, including: Obtain vehicle driving parameters and cabin pressure parameters; The material inertia influence coefficient is calculated through the vehicle driving parameters. The material inertia influence coefficient is used to evaluate the consistency between the vehicle acceleration direction and the carriage support force direction; The regional contact index between the material and different areas inside the carriage is calculated by combining the material inertia influence coefficient with the carriage pressure parameter. The regional contact index is used to evaluate the degree of contact between the material and different areas inside the carriage. The calculation formula of the regional contact index is as follows: ; In the above formula Indicates the compartment area Middle The pressure value of the sensor, Indicates the compartment area The average pressure of all sensors in , is the pressure standard deviation, which is used to evaluate the degree of deviation between the pressure values ​​at different locations in the region and the pressure mean. It is used to quantify the pressure distribution concentration of materials in the carriage area. If the pressure distribution concentration of the carriage area is high, it means that the material in this area is in closer contact with the carriage, which in turn leads to an increase in the degree of material sticking to the carriage. Indicates the compartment area The number of sensors in Indicates the vehicle acceleration value, represents the mean vehicle acceleration, Indicates the material inertia influence coefficient, represents the first adjustment factor, represents the regional contact index; like Figure 2As shown in the figure, the direction of the support force of the railings in different areas on the materials is perpendicular to the railings and points to the inside of the car. For example, the direction of the support force of the front plate of the car on the materials is perpendicular to the front plate of the car, and the direction of the support force of the floor plate of the car on the materials is perpendicular to the floor plate of the car. The consistency of the direction of the vehicle acceleration and the direction of the support force of the car on the materials will directly affect the contact degree between the materials and the car. When the two directions are consistent, the acceleration will increase the pressure generated by the materials along the surface of the railings, thereby increasing the contact degree between the materials and the car. When the vehicle has lateral acceleration, the materials will be closer to the left and right side plates of the car. On the contrary, when the two directions are inconsistent or even opposite, the inertia of the materials will weaken the contact degree between the materials and the car, and even cause the materials to separate from the car. The calculation formula of the material inertia influence coefficient is as follows: ; In the above formula Represents the vehicle acceleration vector, which includes three acceleration components: longitudinal acceleration, lateral acceleration, and vertical acceleration. The longitudinal acceleration reflects the sliding of materials toward the front or rear plate of the carriage caused by vehicle acceleration or braking. The lateral acceleration reflects the influence of centrifugal force on the lateral movement of materials when the vehicle turns, causing the materials to slide toward the left and right side plates of the carriage. The vertical acceleration reflects the up and down sliding of materials caused by gravity and road bumps. Indicates the compartment area The support force vector for the material is the vector perpendicular to the plane of the carriage and pointing to the interior of the carriage. and Represents vectors and vector The model, represents the dot product, It represents the material inertia influence coefficient, which is used to evaluate the consistency between the vehicle acceleration direction and the direction of the supporting force for the material in different areas of the car.

[0021] S130: evaluating the degree of material sticking to the carriage in different areas of the carriage according to the contact degree evaluation result and in combination with the material attribute parameters and the working environment parameters; During the unloading process of bulk materials such as coal, sand, gravel, and earth, the phenomenon of material sticking to the carriage is common. Severe sticking even accounts for 10% to 30% of the effective volume of the carriage. The material return caused by sticking to the carriage reduces production efficiency. Sticking to the carriage is related to factors such as the moisture content of the material and the temperature of the working environment. Taking coal as an example, coal adhesion is divided into wet sticking and frozen sticking. Wet sticking is a more common phenomenon. Wet sticking is caused by the chemical adsorption between the metal surface and the coal particles and the capillary force generated by the meniscus of water wetting the coal particles and the metal surface. Coal is easy to remove when it is wet. Frozen sticking refers to the freezing of water in the coal at low temperature, which causes the coal to adhere to the surface of the carriage, including the freezing of its internal water and the freezing of water between the coal and the inner wall of the carriage. Frozen sticking is more serious than wet sticking. Frozen sticking generally occurs in coal with a moisture content of more than 5% to form frozen coal blocks. The adhesion mechanism of other materials is similar to that of coal. Chemical adsorption, capillary force and low temperature cause material sticking to the carriage. The degree of material sticking in different areas of the carriage is evaluated, including: Obtain material attribute parameters and operating environment parameters, and obtain regional contact index; Calculate the material sticking influence coefficient through material attribute parameters and working environment parameters; The material sticking index is calculated by combining the regional contact index and the material sticking influence coefficient. The material sticking index is used to evaluate the degree of material sticking in different areas of the carriage. The calculation formula of the material sticking index is as follows: ; In the above formula represents the regional contact index, Indicates the material sticking to the compartment influence coefficient, represents the area contact weight, Indicates the weight of the material sticking to the compartment. Indicates the material stickiness index; The freeze-sticking phenomenon is produced under the action of low temperature and water. Therefore, the moisture content of the material and the temperature of the operating environment are the main factors of freeze-sticking, which directly affect the strength of freeze-sticking. Taking coal as an example, the moisture content of coal is considered to be the most critical factor in the formation of coal freeze-sticking. When the moisture content of the coal is higher than 5%, freeze-sticking is easy to form. When the moisture content of the coal is lower than 5%, the freeze-sticking strength is greatly reduced and it is not easy to form freeze-sticking. When the moisture content of the coal is low, the contact interface of the coal particles cannot be fully wetted, the adhesion area of ​​the interface contact becomes smaller, and the moisture converted into solid binder is also less. Therefore, the freeze-sticking strength is low. As the moisture content increases, the contact interface is more fully wetted, and more moisture participates in condensation and is converted into binder, and its adhesion strength increases accordingly. At the same time, the operation Ambient temperature is the dividing factor for coal to form wet sticking or frozen sticking. Low temperature plays an important role in the formation of coal frozen sticking. Within a certain temperature range, the frozen sticking strength gradually increases with the decrease in temperature. When the frozen sticking reaches a certain strength, the temperature continues to drop and has little effect on the frozen sticking strength. When the temperature drops to zero degrees, the moisture in the coal begins to condense and transforms from liquid to solid. The liquid water condenses into ice, forming an ice gel effect and connecting the coal to the carriage. At the same time, the moisture inside the coal migrates to the frozen interface. As the temperature decreases, the water saturation of the air decreases, and the gaseous water in the air is analyzed, providing excess moisture supply for the coal frozen sticking interface, aggravating the condensation of moisture at the frozen sticking interface and increasing the frozen sticking strength. The calculation formula for the material sticking to the carriage influence coefficient is as follows: ; In the above formula Indicates the moisture content of the material. Indicates the preset material moisture content threshold. Indicates the operating environment temperature. Indicates the maximum value of the preset operating environment temperature range. Indicates the minimum value of the preset operating environment temperature range. represents the indicator function, when hour, ,when or hour, , represents the second adjustment factor, Indicates the influence coefficient of material sticking to the compartment.

[0022] S140: Identify the areas prone to sticking to the carriage according to the degree of material sticking to the carriage in different areas inside the carriage and optimize the areas prone to sticking to the carriage; According to the degree of material sticking in different areas of the carriage, the areas prone to sticking are identified and the anti-sticking optimization is performed in the areas prone to sticking, including: Obtain the material sticking index of different areas of the carriage, and mark the carriage area where the material sticking index is greater than the preset material sticking threshold as an easy-to-stick area; The easy-to-stick compartment area is optimized for anti-sticking, and the anti-sticking compartment optimization method is one or more of applying an anti-sticking coating on the surface of the easy-to-stick compartment area, performing an arc transition treatment on the structure of the easy-to-stick compartment area, and heating the easy-to-stick compartment area.

[0023] See also Figure 3 , Figure 3 : is a structural schematic diagram of a dump truck compartment parametric modeling system provided in an embodiment of the present application. This embodiment provides a dump truck compartment parametric modeling system, including: The parameter acquisition module 210 is used to acquire vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters under a fully loaded state; A contact degree evaluation module 220 is used to evaluate the contact degree between the material in the compartment and different areas inside the compartment according to the vehicle driving parameters and the compartment pressure parameters; A car body sticking degree assessment module 230 is used to assess the degree of material sticking to the car body in different areas of the car body according to the contact degree assessment result and in combination with material attribute parameters and operating environment parameters; The anti-sticking compartment optimization module 240 is used to identify the compartment areas that are prone to sticking according to the degree of material sticking to the compartment in different areas inside the compartment and to perform anti-sticking compartment optimization on the compartment areas that are prone to sticking.

[0024] In the embodiment of the present application, the contact degree evaluation module 220 is used to evaluate the contact degree between the material in the compartment and different areas inside the compartment according to the vehicle driving parameters and the compartment pressure parameters. The evaluation of the contact degree between the material in the compartment and different areas inside the compartment includes: Obtain vehicle driving parameters and cabin pressure parameters; The material inertia influence coefficient is calculated through the vehicle driving parameters. The material inertia influence coefficient is used to evaluate the consistency between the vehicle acceleration direction and the carriage support force direction; The regional contact index between the material and different areas inside the carriage is calculated by combining the material inertia influence coefficient with the carriage pressure parameter. The regional contact index is used to evaluate the degree of contact between the material and different areas inside the carriage. The calculation formula of the regional contact index is as follows: ; In the above formula Indicates the compartment area Middle The pressure value of the sensor, Indicates the compartment area The average pressure of all sensors in , is the pressure standard deviation, which is used to evaluate the degree of deviation between the pressure values ​​at different locations in the region and the mean pressure. It is used to quantify the pressure distribution concentration of materials in the carriage area. If the pressure distribution concentration of the carriage area is high, it means that the material in this area is in closer contact with the carriage, which in turn leads to an increase in the degree of material sticking to the carriage. Indicates the compartment area The number of sensors in Indicates the vehicle acceleration value, represents the mean vehicle acceleration, Indicates the material inertia influence coefficient, represents the first adjustment factor, represents the regional contact index; The calculation formula of material inertia influence coefficient is as follows ; In the above formula represents the vehicle acceleration vector, Indicates the compartment area The support force vector for the material is the vector perpendicular to the plane of the carriage and pointing to the interior of the carriage. and Represents vectors and vector The model, represents the dot product, Indicates the material inertia influence coefficient.

[0025] In the embodiment of the present application, the sticking degree evaluation module 230 is used to evaluate the sticking degree of materials in different areas of the carriage according to the contact degree evaluation result and in combination with the material attribute parameters and the working environment parameters. The evaluation of the sticking degree of materials in different areas of the carriage includes: Obtain material attribute parameters and operating environment parameters, and obtain regional contact index; Calculate the material sticking influence coefficient through material attribute parameters and working environment parameters; The material sticking index is calculated by combining the regional contact index and the material sticking influence coefficient. The material sticking index is used to evaluate the degree of material sticking in different areas of the carriage. The calculation formula of the material sticking index is as follows: ; In the above formula represents the regional contact index, Indicates the material sticking to the compartment influence coefficient, represents the area contact weight, Indicates the weight of the material sticking to the compartment. Indicates the material stickiness index; The calculation formula of the material sticking influence coefficient is as follows: ; In the above formula Indicates the moisture content of the material. Indicates the preset material moisture content threshold. Indicates the operating environment temperature. Indicates the maximum value of the preset operating environment temperature range. Indicates the minimum value of the preset operating environment temperature range. represents the indicator function, when hour, ,when or hour, , represents the second adjustment factor, Indicates the influence coefficient of material sticking to the compartment.

[0026] In the embodiment of the present application, the anti-sticking compartment optimization module 240 is used to identify the easy-sticking compartment area according to the degree of material sticking to the compartment in different areas inside the compartment and perform anti-sticking compartment optimization on the easy-sticking compartment area, including: Obtain the material sticking index of different areas of the carriage, and mark the carriage area where the material sticking index is greater than the preset material sticking threshold as an easy-to-stick area; The easy-to-stick compartment area is optimized for anti-sticking, and the anti-sticking compartment optimization method is one or more of applying an anti-sticking coating on the surface of the easy-to-stick compartment area, performing an arc transition treatment on the structure of the easy-to-stick compartment area, and heating the easy-to-stick compartment area.

[0027] The above-mentioned parameters and steps for each unit module to realize the corresponding functions in a parametric modeling system of a dump truck compartment of the present application can refer to the parameters and steps in the embodiment of a parametric modeling method of a dump truck compartment mentioned above, and will not be repeated here.

[0028] like Figure 4 As shown, an embodiment of the present invention further provides an electronic device 300, including a memory 310, a processor 320 and a communication bus 330; the memory 310 and the processor 320 are connected via the communication bus 330. The memory 310 stores a method for parameterized modeling of a dump truck compartment as provided in the above embodiment, which can be loaded and executed by the processor 320.

[0029] The memory 310 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 310 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing a method for parametric modeling of a dump truck compartment provided in the above embodiment, etc.; the data storage area can store data involved in the method for parametric modeling of a dump truck compartment provided in the above embodiment, etc.

[0030] The processor 320 may include one or more processing cores. The processor 320 executes various functions and processes data of the present application by running or executing instructions, programs, code sets or instruction sets stored in the memory 310, calling the data stored in the memory 310. The processor 320 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It can be understood that for different devices, the electronic device used to implement the above-mentioned processor 320 function can also be other, and the embodiment of the present application is not specifically limited.

[0031] The communication bus 330 may include a path to transmit information between the above components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 330 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one double arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0032] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute a method for parametric modeling of a dump truck compartment as provided in the above embodiment.

[0033] In this embodiment, the computer-readable storage medium may be a tangible device that holds and stores instructions used by the instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0034] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0035] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A method for parameterized modeling of a dump truck compartment, characterized in that: The steps include: Obtain vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters under full load; According to the vehicle driving parameters and the cabin pressure parameters, the contact degree between the materials in the cabin and different areas inside the cabin is evaluated; According to the contact degree assessment results and combined with material attribute parameters and working environment parameters, the degree of material sticking to the carriage in different areas inside the carriage is assessed; According to the degree of material sticking in different areas of the carriage, the areas prone to sticking are identified and the anti-sticking optimization is performed on the areas prone to sticking.

2. A method for parameterized modeling of a dump truck compartment according to claim 1, characterized in that: The evaluation of the contact degree between the material in the carriage and different areas inside the carriage includes: Obtain vehicle driving parameters and cabin pressure parameters; The material inertia influence coefficient is calculated through the vehicle driving parameters. The material inertia influence coefficient is used to evaluate the consistency between the vehicle acceleration direction and the carriage support force direction; The regional contact index between the material and different areas inside the carriage is calculated by combining the material inertia influence coefficient with the carriage pressure parameter. The regional contact index is used to evaluate the degree of contact between the material and different areas inside the carriage. The calculation formula of the regional contact index is as follows: ; In the above formula Indicates the compartment area Middle The pressure value of the sensor, Indicates the compartment area The average pressure of all sensors in Indicates the compartment area The number of sensors in Indicates the vehicle acceleration value, represents the mean vehicle acceleration, Indicates the material inertia influence coefficient, represents the first adjustment factor, Represents the regional contact index.

3. A method for parameterized modeling of a dump truck compartment according to claim 2, characterized in that: The calculation formula of the material inertia influence coefficient is as follows: ; In the above formula represents the vehicle acceleration vector, Indicates the compartment area The support force vector for the material is the vector perpendicular to the plane of the carriage and pointing to the interior of the carriage. and Represents vectors and vector The model, represents the dot product, Indicates the material inertia influence coefficient.

4. A method for parameterized modeling of a dump truck compartment according to claim 1, characterized in that: The evaluation of the degree of material sticking to the carriage in different areas includes: Obtain material attribute parameters and operating environment parameters, and obtain regional contact index; Calculate the material sticking influence coefficient through material attribute parameters and working environment parameters; The material sticking index is calculated by combining the regional contact index and the material sticking influence coefficient. The material sticking index is used to evaluate the degree of material sticking in different areas of the carriage. The calculation formula of the material sticking index is as follows: ; In the above formula represents the regional contact index, Indicates the material sticking to the compartment influence coefficient, represents the area contact weight, Indicates the weight of the material sticking to the compartment. Indicates the material stickiness index.

5. A method for parameterized modeling of a dump truck compartment according to claim 4, characterized in that: The calculation formula of the material sticking influence coefficient is as follows: ; In the above formula Indicates the moisture content of the material. Indicates the preset material moisture content threshold. Indicates the operating environment temperature. Indicates the maximum value of the preset operating environment temperature range. Indicates the minimum value of the preset operating environment temperature range. represents the indicator function, when hour, ,when or hour, , represents the second adjustment factor, Indicates the influence coefficient of material sticking to the compartment.

6. A method for parameterized modeling of a dump truck compartment according to claim 1, characterized in that: The method of identifying the easy-to-stick compartment area according to the degree of material sticking to the compartment in different areas of the compartment and optimizing the easy-to-stick compartment area to prevent the easy-to-stick compartment area from sticking to the compartment comprises: Obtain the material sticking index of different areas of the carriage, and mark the carriage area where the material sticking index is greater than the preset material sticking threshold as an easy-to-stick area; The easy-to-stick compartment area is optimized for anti-sticking, and the anti-sticking compartment optimization method is one or more of applying an anti-sticking coating on the surface of the easy-to-stick compartment area, performing an arc transition treatment on the structure of the easy-to-stick compartment area, and heating the easy-to-stick compartment area.

7. A dump truck compartment parametric modeling system, applied to a dump truck compartment parametric modeling method according to any one of claims 1 to 6, characterized in that: The system comprises: A parameter acquisition module is used to obtain vehicle driving parameters, compartment pressure parameters, material property parameters and operating environment parameters under full load; A contact degree assessment module is used to assess the contact degree between the materials in the carriage and different areas inside the carriage according to the vehicle driving parameters and the carriage pressure parameters; The sticking degree assessment module is used to assess the sticking degree of materials in different areas of the carriage based on the contact degree assessment results combined with material attribute parameters and operating environment parameters; The anti-sticking compartment optimization module is used to identify the areas prone to sticking to the compartment according to the degree of material sticking to the compartment in different areas inside the compartment and to perform anti-sticking optimization on the areas prone to sticking to the compartment.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a parametric modeling method for a dump truck compartment as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a parametric modeling method for a dump truck compartment as described in any one of claims 1-6.

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