Tightening method, device and equipment with matched vehicle type and torque and storage medium

Abstract

The invention discloses a vehicle type and torque matched tightening method, device and equipment and a storage medium, and the method comprises the steps: obtaining a chassis number of a to-be-assembled vehicle type, and carrying out the matching of the chassis number of the to-be-assembled vehicle type with vehicle type tightening parameters inputted into an MOM platform in advance, so as to obtain the tightening torque of the to-be-assembled vehicle type. Manual intervention can be reduced, automatic matching of the vehicle type and the torque standard is achieved, and the torsion accuracy and the assembly efficiency of a final assembly line are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle assembly, and in particular to a tightening method, device, equipment and storage medium for matching vehicle type with torque. Background Art

[0002] The assembly of commercial vehicle parts is mainly done by tightening bolts and nuts. Involving key parts such as torque, tightening equipment is required to ensure torque. Traditional tightening equipment requires selecting the specified torque on the tightening machine to tighten the nut. This method requires workers to select the appropriate torque on the tightening machine based on experience or by measuring the specifications of nuts or bolts, and there is a lot of manual intervention and low assembly efficiency. At the same time, traditional tightening equipment cannot trace the tightening data and cannot accurately know the torque tightening details of the vehicle model.

[0003] Therefore, how to reduce manual intervention and improve assembly efficiency is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The main purpose of the present invention is to provide a tightening method, device, equipment and storage medium for matching vehicle type with torque, which can reduce manual intervention, realize automatic matching of vehicle type with torque standard, and improve torque accuracy and assembly efficiency of general assembly line.

[0005] In a first aspect, the present application provides a tightening method for matching vehicle type and torque, wherein the method comprises the steps of obtaining the chassis number of the vehicle type to be assembled, and matching it with the vehicle type tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle type to be assembled.

[0006] In combination with the first aspect above, as an optional implementation method, the chassis number of the vehicle model is bound to the tightening parameters corresponding to the vehicle;

[0007] Obtain the chassis number of the vehicle model to be assembled through the main line AGV, and send the chassis number to the Internet of Things platform;

[0008] The IoT platform sends the received chassis number to the MOM platform, and queries through the MOM platform whether the vehicle model in the tightening parameters of the current vehicle model to be assembled matches the chassis number;

[0009] If they match, the tightening torque of the vehicle model to be assembled is obtained based on the mapping relationship between the chassis number and the torque in the tightening parameters.

[0010] In combination with the first aspect above, as an optional implementation method, if there is a mismatch, an alarm is issued and the tightening parameters of the vehicle model are supplemented in the MOM platform.

[0011] In combination with the first aspect above, as an optional implementation method, if the chassis number of the current vehicle model matches the chassis number queried in the MOM platform, the tightening angle is obtained from the tightening parameters.

[0012] In combination with the first aspect above, as an optional implementation method, tightening parameters corresponding to different vehicle models are obtained, and the tightening parameters include: vehicle model, tightening angle, part number of the tightened part, nut specification of the part, bolt center distance, pitch circle diameter, torque value and variable pitch;

[0013] The tightening parameters are entered into the MOM platform.

[0014] In combination with the first aspect above, as an optional implementation method, after each tightening operation is completed, the actual tightening parameters of the currently assembled vehicle model are uploaded to the MOM platform for storage, and a tightening qualification rate report is automatically generated to trace and analyze the vehicle model data.

[0015] In combination with the first aspect above, as an optional implementation method, when the vehicle model tightening operation is completed, the actual tightening torque obtained is compared with the target tightening torque;

[0016] If the actual tightening torque is within the target tightening torque error range, it is judged as qualified and marked;

[0017] If the actual tightening torque exceeds the target tightening torque error range, it is judged as unqualified. In the second aspect, the present application provides a tightening system for matching vehicle type with torque, including:

[0018] The MOM platform is used to obtain the chassis number of the vehicle to be assembled and match it with the vehicle tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle to be assembled.

[0019] In a third aspect, the present application further provides an electronic device, comprising: a processor; a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method described in any one of the first aspects is implemented.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium storing computer program instructions, which, when executed by a computer, enables the computer to execute any of the methods described in the first aspect.

[0021] The present application provides a tightening method, device, equipment and storage medium for matching vehicle models with torque, wherein the method comprises the steps of obtaining the chassis number of the vehicle model to be assembled, and matching it with the vehicle model tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle model to be assembled. The present application can reduce manual intervention, realize automatic matching of vehicle models with torque standards, and improve torque accuracy and assembly efficiency of the general assembly line.

[0022] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0024] Figure 1 A flow chart of a tightening method for matching a vehicle type with a torque provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of a tightening device for matching a vehicle type and a torque provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of an electronic device provided in an embodiment of the present application;

[0027] Figure 4 A schematic diagram of a computer-readable program medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0029] Furthermore, the drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. Some of the blocks shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities.

[0030] The embodiments of the present application are further described in detail below in conjunction with the accompanying drawings.

[0031] Reference Figure 1 , Figure 1 FIG. 1 is a flow chart of a tightening method for matching a vehicle type with a torque provided by the present invention, as shown in FIG. Figure 1 As shown, the method comprises the steps of:

[0032] Step S101: Obtain the chassis number of the vehicle model to be assembled, and match it with the vehicle model tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle model to be assembled.

[0033] Specifically, the chassis number of the vehicle model is bound to the tightening parameters corresponding to the vehicle; the chassis number of the vehicle model to be assembled is obtained through the main line AGV, and the chassis number is sent to the Internet of Things platform; the Internet of Things platform sends the received chassis number to the MOM platform, and queries through the MOM platform whether the vehicle model in the tightening parameters of the current vehicle model to be assembled matches the chassis number; if they match, the tightening torque of the vehicle model to be assembled is obtained based on the mapping relationship between the chassis number and the torque in the tightening parameters. It should be noted that the chassis number is bound to the vehicle model, and only the vehicle model needs to be maintained on the MOM platform.

[0034] Specifically, the tightening parameters of the MOM platform vehicle models are entered in advance according to the production schedule, where the chassis number of the vehicle model and the tightening parameters have a mapping relationship, that is, a binding relationship. The corresponding tightening parameters can be found through the chassis number, such as vehicle model, tightening angle, part number of the tightening part, nut specification of the part, bolt center distance, pitch circle diameter, torque value and variable pitch, etc.

[0035] After the main line AGV arrives at the tire tightening station, the vehicle model [VIN / ID], that is, the chassis number, on the current AGV is sent to the IoT platform. The IoT platform receives the vehicle model [VIN / ID] and sends it to the MOM platform. The MOM platform queries the tightening parameters (program number) of the current vehicle model → The IoT sends the tightening parameters received to the tightening PLC. The vehicle model [VIN / ID] received by the tightening machine controller is compared with the rolling plan information stored in the controller (the data sent by the MOM system to the tightening PLC contains the unique identifier VIN. Each time the comparison is made, the PLC compares it with the obtained VIN), obtains the tightening torque and angle, and the tightening machine performs tightening according to the obtained data. It can be understood that the MOM system maintains tightening parameter data by binding through the chassis number (VIN code), including important parameters such as the tightening torque corresponding to each vehicle model. Before daily production, the MOM system will match the vehicle models to be produced that day, match the corresponding tightening parameters, and send them to the PLC, including the chassis number of the vehicle, which is bound by the chassis number. One chassis number corresponds to one vehicle, including the vehicle model and the corresponding tightening data. When the vehicle arrives at the corresponding assembly station, the chassis number of the vehicle will be brought over. After receiving the chassis number, the PLC will query the corresponding chassis number in the parameter data issued by the MOM, thereby obtaining the corresponding tightening data, and then send the tightening data to the tightening control machine, perform the tightening operation through the tightening controller in the tightening control machine, and send the tightening result to the MOM platform.

[0036] In one embodiment, if the chassis number of the vehicle model to be tightened queried by the MOM platform does not match the chassis number in the pre-entered tightening parameters, an alarm is issued and the tightening parameters of the vehicle model are supplemented in the MOM platform.

[0037] In one embodiment, if the chassis number of the current vehicle model matches the chassis number queried in the MOM platform, the tightening angle is obtained from the tightening parameters. It can be understood that when the tightening action is performed, the tightening procedure is executed by the tightening gun, and the tightening gun is equipped with a torque sensor and an angle encoder to ensure the accuracy of torque and angle.

[0038] In one embodiment, after each tightening operation is completed, the actual tightening parameters of the currently assembled vehicle model are uploaded to the MOM platform for storage, and a tightening qualification rate report is automatically generated to trace and analyze the vehicle model data. It is understandable that the tightening machine is connected to the upper MOM system, and each time the tightening machine completes the tightening assembly work, the tightening data of the currently assembled vehicle will be uploaded to the MOM system, which will store it, and a tightening qualification rate report can be automatically generated, thereby achieving data tracing and analysis functions.

[0039] In one embodiment, when the vehicle model tightening operation is completed, the actual tightening torque obtained is compared with the target tightening torque;

[0040] If the actual tightening torque is within the target tightening torque error range, it is judged as qualified and marked; if the actual tightening torque exceeds the target tightening torque error range, it is judged as unqualified.

[0041] Optionally, in one embodiment, after the AGV reaches the tightening station, it reports the vehicle model code, vehicle identification, and station code to the Internet of Things platform. After receiving the vehicle model code, vehicle identification, and station code, the Internet of Things platform sends them to the MOM platform, and uses the MOM platform to query the tightening parameters of the current vehicle model (including: program number, vehicle model code, and vehicle identification) to determine whether they match, that is, whether the chassis number of the current vehicle model to be tightened matches the chassis number in the tightening parameters entered in advance. If they match, the tightening parameters are sent to the controller to execute the tightening action.

[0042] In one embodiment, whether the tightening device uses a multi-axis or a single-axis is determined based on the number of nuts required for tightening the vehicle. When the number of nuts is 6, a single-axis device is used, and when the number is greater than 6, a multi-axis device is used.

[0043] In summary, this application records the tightening results of each vehicle model through the MOM platform, providing a data basis for the analysis of the tightening torque of the vehicle model; the torque sensor and angle encoder are installed in the tightening gun to ensure the accuracy of the torque of the corresponding vehicle model; the tightening controller communicates with the PLC through the PLC field bus module, and the PLC issues the torque parameters of the corresponding vehicle model, thereby realizing automatic matching of the vehicle model and the torque standard, reducing manual intervention while meeting the needs of various vehicle models, and improving the production efficiency of the general assembly line.

[0044] Reference Figure 2 , Figure 2 FIG. 1 is a schematic diagram of a tightening device for matching a vehicle type with a torque provided by the present invention, as shown in FIG. Figure 2 As shown, the device comprises:

[0045] MOM platform 201: It is used to obtain the chassis number of the vehicle model to be assembled, and match it with the vehicle model tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle model to be assembled.

[0046] Further, in a possible implementation manner, the MOM platform is also used to bind the chassis number of the vehicle model with the tightening parameters corresponding to the vehicle;

[0047] Main line AGV202, which is used to obtain the chassis number of the vehicle model to be assembled and send the chassis number to the Internet of Things platform;

[0048] The Internet of Things platform 203 is used to send the received chassis number to the MOM platform;

[0049] The MOM platform is also used to query whether the vehicle model in the tightening parameters of the current vehicle model to be assembled matches the chassis number;

[0050] If they match, the tightening torque of the vehicle model to be assembled is obtained based on the mapping relationship between the chassis number and the torque in the tightening parameters.

[0051] Furthermore, in a possible implementation manner, the MOM platform is also used to obtain the tightening angle from the tightening parameters if the chassis number of the current vehicle model matches the chassis number queried in the MOM platform.

[0052] Furthermore, in a possible implementation manner, the MOM platform is also used to obtain the tightening angle from the tightening parameters if the chassis number of the current vehicle model matches the chassis number queried in the MOM platform.

[0053] Further, in a possible implementation, the main line AGV is also used to obtain tightening parameters corresponding to different vehicle models, and the tightening parameters include: vehicle model, tightening angle, part number of the tightened part, nut specification of the part, bolt center distance, pitch circle diameter, torque value and variable pitch;

[0054] The MOM platform is also used to input the tightening parameters.

[0055] Furthermore, in a possible implementation, the tightening device 204 is also used to upload the actual tightening parameters of the currently assembled vehicle model to the MOM platform for storage after each tightening operation is completed, and automatically generate a tightening qualification rate report to trace and analyze the vehicle model data.

[0056] Furthermore, in a possible implementation, the MOM platform is also used to compare the actual tightening torque obtained with the target tightening torque after the vehicle model tightening operation is completed; if the actual tightening torque is within the target tightening torque error range, it is determined to be qualified and marked; if the actual tightening torque exceeds the target tightening torque error range, it is determined to be unqualified. Figure 3 The electronic device 300 according to this embodiment of the present invention will be described. Figure 3 The electronic device 300 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0057] like Figure 3 As shown, the electronic device 300 is in the form of a general computing device. The components of the electronic device 300 may include but are not limited to: at least one processing unit 310, at least one storage unit 320, and a bus 330 connecting different system components (including the storage unit 320 and the processing unit 310).

[0058] The storage unit stores program codes, which can be executed by the processing unit 310, so that the processing unit 310 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0059] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 321 and / or a cache memory unit 322 , and may further include a read-only memory unit (ROM) 323 .

[0060] The storage unit 320 may also include a program / utility 324 having a set (at least one) of program modules 325, such program modules 325 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0061] Bus 330 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0062] The electronic device 300 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 300, and / or communicate with any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 350. Furthermore, the electronic device 300 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 360. As shown, the network adapter 360 communicates with other modules of the electronic device 300 via a bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0063] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0064] According to the solution of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible implementations, various aspects of the present invention can also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present invention described in the above "Exemplary Method" section of the present specification.

[0065] refer to Figure 4As shown, a program product 400 for implementing the above method according to an embodiment of the present invention is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0066] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0067] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0068] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0069] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0070] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to an exemplary embodiment of the present invention, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0071] In summary, the present application provides a tightening method, device, equipment and storage medium for matching vehicle models with torque, wherein the method comprises the steps of obtaining the chassis number of the vehicle model to be assembled, and matching it with the vehicle model tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle model to be assembled. The present application can reduce manual intervention, realize automatic matching of vehicle models with torque standards, and improve torque accuracy and assembly efficiency of the general assembly line.

[0072] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

[0073] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

Claims

1. A tightening method for matching vehicle type and torque, characterized in that: include: Obtain the chassis number of the vehicle to be assembled and match it with the vehicle tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle to be assembled.

2. The method according to claim 1, characterized in that The method of obtaining the chassis number of the vehicle to be assembled and matching it with the vehicle tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle to be assembled includes: Bind the chassis number of the vehicle model with the tightening parameters corresponding to the vehicle; Obtain the chassis number of the vehicle model to be assembled through the main line AGV, and send the chassis number to the Internet of Things platform; The IoT platform sends the received chassis number to the MOM platform, and queries through the MOM platform whether the vehicle model in the tightening parameters of the current vehicle model to be assembled matches the chassis number; If they match, the tightening torque of the vehicle model to be assembled is obtained based on the mapping relationship between the chassis number and the torque in the tightening parameters.

3. The method according to claim 2, characterized in that Also includes: If there is a mismatch, an alarm will be issued and the tightening parameters of the vehicle model will be added in the MOM platform.

4. The method according to claim 2, characterized in that: Also includes: If the chassis number of the current vehicle model matches the chassis number queried in the MOM platform, the tightening angle is obtained from the tightening parameters.

5. The method according to claim 1, characterized in that Before obtaining the chassis number of the vehicle to be assembled, the following steps are included: Obtain tightening parameters corresponding to different vehicle models, the tightening parameters including: vehicle model, tightening angle, part number of the tightened part, nut specification of the part, bolt center distance, pitch circle diameter, torque value and variable pitch; The tightening parameters are entered into the MOM platform.

6. The method according to claim 1, characterized in that Also includes: After each tightening operation is completed, the actual tightening parameters of the currently assembled vehicle model are uploaded to the MOM platform for storage, and a tightening qualification rate report is automatically generated to trace and analyze the vehicle model data.

7. The method according to claim 1, characterized in that Also includes: When the vehicle model tightening operation is completed, the actual tightening torque obtained is compared with the target tightening torque; If the actual tightening torque is within the target tightening torque error range, it is judged as qualified and marked; If the actual tightening torque exceeds the target tightening torque error range, it is judged as unqualified.

8. A tightening system for matching vehicle type and torque, characterized in that: include: The MOM platform is used to obtain the chassis number of the vehicle to be assembled and match it with the vehicle tightening parameters pre-entered into the MOM platform to obtain the tightening torque of the vehicle to be assembled.

9. The system according to claim 8, characterized in that: The MOM platform is also used to bind the chassis number of the vehicle model with the tightening parameters corresponding to the vehicle; Mainline AGV, which is used to obtain the chassis number of the vehicle model to be assembled and send the chassis number to the Internet of Things platform; The Internet of Things platform is used to send the received chassis number to the MOM platform; The MOM platform is also used to query whether the vehicle model in the tightening parameters of the current vehicle model to be assembled matches the chassis number; If they match, the tightening torque of the vehicle model to be assembled is obtained based on the mapping relationship between the chassis number and the torque in the tightening parameters.

10. The system according to claim 9, characterized in that Also includes: The MOM platform is also used to obtain the tightening angle from the tightening parameters if the chassis number of the current vehicle model matches the chassis number queried in the MOM platform.

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