Method and device for checking the painting quality of a vehicle
By analyzing the status information of the spraying equipment to determine the fault information and generating prompt information, the shortcomings of detecting and transmitting the faults of the spraying equipment and vehicle quality defects in the prior art are solved, and efficient inspection of the quality of the vehicle spraying quality and quality risk areas are realized. Accurate identification.
Patent Information
- Application Number
- CN202010828995.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-08-18
- Publication Date
- 2025-02-11
- Estimated Expiration
- 2040-08-18
AI Technical Summary
The prior art lacks effective ways to detect and transmit the failure of spraying equipment and the vehicle quality defects it brings, resulting in lower-level operators of production line only able to judge the vehicle spray quality through inefficient and inaccurate direct viewing.
By obtaining the status information of the spraying equipment, the information is analyzed to determine the fault information of the equipment, and the area where the vehicle has a quality risk is determined based on the fault information, and prompt information is generated to indicate these risk areas.
It realizes efficient inspection of vehicle spray quality and accurate identification of quality risk areas, improving the operating efficiency and quality control accuracy of the production line.
Smart Images
Figure CN114077951B_ABST
Abstract
Description
Background Art
[0002] A vehicle production line (eg, a production line for painting vehicles) generally includes a plurality of stages and corresponding painting equipment at each stage.
[0003] In production, a failure of the spraying equipment at one level will cause quality defects in the vehicle, and the quality defects will be carried to the next level as the vehicle enters the production line. However, there is currently a lack of effective ways to transmit the failure of the spraying equipment and the quality defects of the vehicle caused by the failure, so that the operators at the next level of the production line can only judge whether the vehicle has quality defects by direct inspection (i.e., inspecting the spraying quality of the vehicle), which is not only inefficient but also has a low accuracy rate.
[0004] Therefore, there is a need for an improved technique for inspecting the paint quality of a vehicle. Summary of the invention
[0005] One object of the present disclosure is to provide an improved method and apparatus for inspecting the painting quality of a vehicle.
[0006] In one aspect of the present disclosure, a method for checking the spraying quality of a vehicle is provided, comprising: obtaining status information of a spraying equipment that sprays the vehicle; analyzing the status information to determine fault information of the spraying equipment; determining an area of the vehicle where there is a quality risk based on the fault information of the spraying equipment; and generating prompt information, wherein the prompt information includes information indicating an area of the vehicle where there is a quality risk.
[0007] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, according to the state information, a time period during which the state of the spraying device is a fault.
[0008] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, based on the state information, a time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold.
[0009] In one example, determining the area of the vehicle where there is a quality risk based on the fault information of the spraying equipment includes: based on the fault information of the spraying equipment, determining the area of the vehicle where there is a quality risk according to a mapping relationship between the spraying equipment and the painted area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is sprayed by a specific spraying equipment.
[0010] In one example, determining an area of the vehicle where there is a quality risk based on fault information from the spray equipment includes: determining which event in a pre-stored event sequence a determined time period corresponds to, wherein the pre-stored event sequence includes a series of events in which a specific spray equipment sprays a specific area of the vehicle in a specific time period; and determining an area of the vehicle where there is a quality risk based on the determined events.
[0011] In one example, the prompt information may further include information indicating a painting device in an area causing a risky quality of the vehicle.
[0012] In one example, the method further includes: displaying the prompt information on a screen located on a production line of the vehicle.
[0013] In one example, displaying the prompt information on a screen located on a production line of the vehicle includes: displaying the prompt information on a screen located at a relevant position on the production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
[0014] According to another aspect of the present disclosure, a device for checking the spraying quality of a vehicle is provided, the device comprising: a memory on which one or more instruction sequences are stored; and a processor coupled to the memory, wherein the processor is configured to enable the device to perform the following operations when executing the one or more instruction sequences: obtain status information of a spraying device that sprays the vehicle; analyze the status information to determine fault information of the spraying device; determine an area of the vehicle where there is a quality risk based on the fault information of the spraying device; and generate prompt information, wherein the prompt information includes information indicating an area of the vehicle where there is a quality risk.
[0015] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, according to the state information, a time period during which the state of the spraying device is a fault.
[0016] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, based on the state information, a time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold.
[0017] In one example, determining the area of the vehicle where there is a quality risk based on the fault information of the spraying equipment includes: based on the fault information of the spraying equipment, determining the area of the vehicle where there is a quality risk according to a mapping relationship between the spraying equipment and the painted area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is sprayed by a specific spraying equipment.
[0018] In one example, determining an area of the vehicle where there is a quality risk based on fault information from the spray equipment includes: determining which event in a pre-stored event sequence a determined time period corresponds to, wherein the pre-stored event sequence includes a series of events in which a specific spray equipment sprays a specific area of the vehicle in a specific time period; and determining an area of the vehicle where there is a quality risk based on the determined events.
[0019] In one example, the prompt information may further include information indicating a painting device in an area causing a risky quality of the vehicle.
[0020] In one example, the device further includes a display configured to display the prompt information.
[0021] In one example, the processor is further configured to: cause the prompt information to be displayed on a screen located on a production line of the vehicle.
[0022] In one example, displaying the prompt information on a screen located on a production line of the vehicle includes: displaying the prompt information on a screen located at a relevant position on the production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
[0023] By utilizing the method and device disclosed in the present invention, fault information of the spraying equipment can be determined based on status information of the spraying equipment, and areas of the vehicle with quality risks can be determined based on the fault information, and prompt information can then be generated, thereby facilitating inspection of the vehicle's spraying quality and processing (e.g., repairs) of areas of the vehicle with quality risks.
[0024] According to yet another aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, which includes one or more instruction sequences, which, when executed by one or more processors, cause the above-described method to be performed.
[0025] According to yet another aspect of the present disclosure, there is provided an apparatus for inspecting the painting quality of a vehicle, comprising a device for executing the above-described method. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] The above and other objects, features and advantages of the present disclosure will become more apparent through a more detailed description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components in the exemplary embodiments of the present disclosure.
[0027] Figure 1A flow chart of a method for inspecting the painting quality of a vehicle according to at least one embodiment of the present disclosure is shown.
[0028] Figure 2 A schematic diagram showing a usage scenario of a method for inspecting the painting quality of a vehicle according to at least one embodiment of the present disclosure is shown.
[0029] Figure 3 A schematic diagram of prompt information according to at least one embodiment of the present disclosure is shown.
[0030] Figure 4 A schematic diagram of a device for inspecting the painting quality of a vehicle according to at least one embodiment of the present disclosure is shown. DETAILED DESCRIPTION
[0031] The preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the preferred embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.
[0032] It is known to those skilled in the art that the present invention may be implemented as a system, method or computer program product. Therefore, the present disclosure may be specifically implemented in the following forms, namely: it may be complete hardware, it may be complete software (including firmware, resident software, microcode, etc.), or it may be a combination of hardware and software, generally referred to herein as a "circuit", "module" or "system". In addition, in some embodiments, the present invention may also be implemented in the form of a computer program product in one or more computer-readable media, which contains computer-readable program code.
[0033] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-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 thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer 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 thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.
[0034] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. 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. Computer-readable signal media may also be any computer-readable medium other than a computer-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.
[0035] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
[0036] Computer program code for performing the operations of the present invention may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).
[0037] The present invention will be described below with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products of the embodiments of the present invention. It should be understood that each box in the flowchart and / or block diagram and the combination of boxes 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 or other programmable data processing device to produce a machine, and these computer program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified in the boxes in the flowchart and / or block diagram.
[0038] These computer program instructions may also be stored in a computer-readable medium that enables a computer or other programmable data processing device to operate in a specific manner, such that the instructions stored in the computer-readable medium produce a manufacture including an instruction means (instruction means) that implements the functions / operations specified in the blocks in the flowchart and / or block diagram.
[0039] Computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable device to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.
[0040] Although each operation is described in conjunction with a specific device, it will be appreciated by those skilled in the art that the operations described above may be performed by devices different from the devices described above, and the present disclosure does not limit this. In addition, although described as different devices, it will be appreciated by those skilled in the art that the above devices may be combined together or further split into several devices, and the present disclosure does not limit this.
[0041] Figure 1 is a flow chart showing a method 100 for inspecting the painting quality of a vehicle according to an embodiment of the present disclosure. Figure 2 A schematic diagram of a usage scenario of the method 100 is shown. Figure 1 and Figure 2 The method 100 is described.
[0042] like Figure 1 As shown, the method 100 includes, at step S101, obtaining status information of a spraying device for spraying a vehicle. Figure 2 The device 201 shown is directly from a spraying device (e.g., Figure 2The spraying devices 202, 204, 206 and 208 shown in FIG. 1 ) or from a computer ( FIG. 14 ) connected to the spraying device. Figure 2 (not shown) to obtain status information of the spraying equipment.
[0043] For example, the state information of the spraying equipment may include: normal state, fault state (such as non-continuous glue discharge or glue discharge amount less than or more than a threshold state). Alternatively, the state information of the spraying equipment may also include, for example, spraying start time, spraying end time, spraying duration, etc.
[0044] In step S103, the state information is analyzed to determine the fault information of the spraying equipment. The fault information of the spraying equipment includes, for example, the equipment ID of the spraying equipment, the time period of the spraying equipment fault, and the like.
[0045] like Figure 2 As shown, the device 201 may analyze the status information obtained in step S101 to determine the fault information of the spraying device.
[0046] In one example, step S103 includes: determining the time period when the state of the spraying device is a fault according to the state information. For example, if the state information acquired in step S101 includes information indicating that a certain spraying device is in a fault state during a certain time period, then step S103 includes determining the device ID of the spraying device, the fault state, and the time period corresponding to the fault state as the spraying device, etc.
[0047] In one example, step S103 includes: determining, based on the state information, a time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold. For example, the state information obtained in step S101 includes the spraying duration, and step S103 includes comparing the spraying duration with a predetermined threshold to determine whether the spraying duration is greater than or less than the predetermined threshold, thereby determining whether the spraying device actually has a fault. In addition, if the state information obtained in step S01 includes a spraying start time and a spraying end time, the spraying duration of the spraying device can be obtained based on the spraying start time and the spraying end time, and compared with a predetermined threshold to determine whether the spraying device is in a faulty state, and then determine the fault information.
[0048] In step S105 , areas of the vehicle that have quality risks are determined based on the fault information of the painting equipment.
[0049] In one example, step S105 includes, for example: based on the fault information of the spraying equipment (for example, the equipment ID of the faulty spraying equipment), determining the area of the vehicle where there is a quality risk according to a mapping relationship between the spraying equipment and the sprayed area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is sprayed by a specific spraying equipment.
[0050] For example, in the process of spraying a vehicle, a plurality of spraying devices are usually used to spray the vehicle, and each spraying device is designated to spray the designated area of the vehicle respectively. Therefore, the mapping relationship between the spraying device and the sprayed area of the vehicle can be stored in advance, and based on the fault information of the spraying device (such as the device ID of the failed spraying device), it is determined which area of the vehicle has a quality risk according to the stored mapping relationship. In a specific example, assuming that spraying device A is used to spray area 1 of the vehicle, when it is determined that spraying device A fails, it can be determined that area 1 of the vehicle has a quality risk.
[0051] In another example, step S105 may, for example, include: determining which event in a pre-stored event sequence corresponds to the time period determined in step S103, wherein the pre-stored event sequence includes a series of events in which a specific spraying device sprays a specific area of the vehicle in a specific time period; and determining an area of the vehicle where risk quality exists based on the determined events.
[0052] For example, painting a vehicle may include a series of painting events, where each painting event indicates that a specific area of the vehicle is painted in a specific time period. Therefore, based on the time information of the fault information (e.g., the time period corresponding to the fault state), the painted area of the vehicle corresponding to the time period can be determined, thereby determining the area of the vehicle with quality risks.
[0053] At step S107, prompt information is generated, wherein the prompt information includes information indicating the area of the vehicle where there is a quality risk. The prompt information may be in the form of voice, text, or graphics. In a specific example, the area of the vehicle where there is a quality risk may be prompted by voice, or the risk quality of the vehicle may be prompted by text. Alternatively, the area of the vehicle where there is a risk may be prompted by graphics.
[0054] In one example, the prompt information may also include information indicating a painting device in an area causing a risky quality of the vehicle.
[0055] By utilizing the method of the embodiment of the present disclosure, the fault information of the spraying equipment can be determined based on the status information of the spraying equipment, and the area of the vehicle where there is a quality risk can be determined based on the fault information, and prompt information can then be generated, thereby facilitating the inspection of the vehicle's spraying quality and processing (such as repairs) of the area of the vehicle where there is a quality risk.
[0056] In one example, the method 100 further includes: displaying the prompt information on a screen on a production line of the vehicle.
[0057] By displaying prompt information on the screen on the vehicle production line, the personnel responsible for handling the vehicle can check and confirm the areas of the vehicle where quality risks exist based on the prompt information, and perform corresponding processing (such as maintenance).
[0058] Figure 3 An example of prompt information displayed on a screen of a production line is shown. Figure 3 A number of spraying stations are shown, namely spraying station 1 and spraying station 2 . Figure 3 The spray station 1 shown includes a graphic representation of two spraying devices (i.e., spraying device 1_1 and spraying device 1_2), while the spray station 2 includes a graphic representation of four spraying devices (i.e., spraying device 2_1, spraying device 2_2, spraying device 2_3, and spraying device 2_4). It will be understood by those skilled in the art that the number of spray stations and the corresponding number of spraying devices are merely exemplary and not restrictive.
[0059] exist Figure 3 Also shown is a graphic representation of the vehicle (actually the body of the vehicle, as it has not yet been equipped with other components such as tires) and the vehicle ID. Figure 3 As shown, the area of the vehicle with quality risks is shown in the rectangular box. Figure 3 The corresponding spraying equipment ( Figure 3 The spraying device 1_1 shown in FIG.
[0060] exist Figure 3 Only a single vehicle and a plurality of spraying devices for spraying the vehicle are shown in the figure. However, those skilled in the art will appreciate that a plurality of vehicles and a plurality of spraying devices for spraying the vehicles may be displayed as required, and the present disclosure does not limit this.
[0061] Based on the displayed prompt information, personnel on the production line can be aware of areas of the vehicle that have quality risks and further determine whether to process (such as repair) the areas.
[0062] In one example, displaying the prompt information on a screen on a production line of the vehicle includes: displaying the prompt information on a screen at a relevant position on the production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
[0063] For example, prompt information about the area of the vehicle with quality risk is displayed at the location where the area will be processed (i.e., the relevant location). For example, there may be multiple prompt information, which respectively indicate that there are quality risks at the roof, side, tail, etc. of the vehicle. According to this example, prompt information about the quality risk of a specific part of the vehicle (such as the roof) is displayed at the location where the specific part of the vehicle (such as the roof) is processed.
[0064] According to this example, prompt information can be displayed to relevant personnel, thereby avoiding excessive irrelevant prompt information causing relevant prompt information to be ignored.
[0065] Figure 4 A schematic diagram of a device 400 for inspecting the spraying quality of a vehicle is shown. Figure 4 As shown, the device 400 includes: a memory 401 on which one or more instruction sequences are stored; and a processor 403 coupled to the memory.
[0066] The processor 403 is configured to cause the device 400 to perform the following operations when executing the one or more instruction sequences: obtain status information of a painting device that sprays the vehicle; analyze the status information to determine fault information of the painting device; determine areas of the vehicle where there are quality risks based on the fault information of the painting device; and generate prompt information, wherein the prompt information includes information indicating areas of the vehicle where there are quality risks.
[0067] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, according to the state information, a time period during which the state of the spraying device is a fault.
[0068] In one example, analyzing the state information to determine the fault information of the spraying device includes: determining, based on the state information, a time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold.
[0069] In one example, determining the area of the vehicle where there is a quality risk based on the fault information of the spraying equipment includes: based on the fault information of the spraying equipment, determining the area of the vehicle where there is a quality risk according to a mapping relationship between the spraying equipment and the painted area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is sprayed by a specific spraying equipment.
[0070] In one example, determining an area of the vehicle where there is a quality risk based on fault information from the spray equipment includes: determining which event in a pre-stored event sequence a determined time period corresponds to, wherein the pre-stored event sequence includes a series of events in which a specific spray equipment sprays a specific area of the vehicle in a specific time period; and determining an area of the vehicle where there is a quality risk based on the determined events.
[0071] In one example, the prompt information may further include information indicating a painting device in an area causing a risky quality of the vehicle.
[0072] In one example, the device 400 may also optionally include a display 405 configured to display prompt information.
[0073] In one example, the processor 403 is further configured to: enable the prompt information to be displayed on a screen located on a production line of the vehicle.
[0074] In one example, causing the prompt information to be displayed on a screen located on a production line of the vehicle includes: causing the prompt information to be displayed on a screen located at a relevant position on the production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
[0075] Those skilled in the art will understand that the above Figure 1 and Figure 2 The description of the method 100 described is applicable to the device 400, and the device 400 may correspond to Figure 2 The device 201 in FIG.
[0076] The present disclosure also provides a non-transitory computer-readable storage medium, comprising one or more instruction sequences, which, when executed by one or more processors, cause the above-mentioned method to be performed.
[0077] The present disclosure also provides a device for use, comprising means for executing the above method.
[0078] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or code, and the part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0079] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A method for checking the spraying quality of a vehicle, comprising: Obtaining status information of a painting device for painting the vehicle; Analyzing the status information to determine fault information of the spraying equipment; Determining the area of the vehicle where there is a quality risk based on the fault information of the spraying equipment includes: Based on the fault information of the painting equipment, determining the area of the vehicle where there is a quality risk according to a mapping relationship between the painting equipment and the painted area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is to be painted by a specific painting equipment, or Based on the time period of the spraying equipment failure, determining which event in a pre-stored event sequence the failure information corresponds to, wherein the pre-stored event sequence includes a series of events in which a specific spraying equipment sprays a specific area of the vehicle in a specific time period, and determining the area of the vehicle with risky quality according to the determined events; as well as Prompt information is generated, wherein the prompt information includes information indicating an area of the vehicle where a quality risk exists.
2. The method according to claim 1, wherein the time period of the spraying equipment failure is determined by: A time period during which the state of the spraying equipment is a fault is determined according to the state information.
3. The method according to claim 1, wherein the time period of the spray equipment failure is determined by: A time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold is determined according to the state information. 4 . The method according to claim 1 , wherein the prompt information may further include information indicating a painting device in an area causing a risky quality of the vehicle.
5. The method according to claim 1 or 4, further comprising: The prompt information is displayed on a screen located on a production line of the vehicle.
6. The method according to claim 5, wherein displaying the prompt information on a screen located on a production line of the vehicle comprises: The prompt information is displayed on a screen located at a relevant position on a production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
7. A device for checking the spraying quality of a vehicle, the device comprising: a memory having one or more instruction sequences stored therein; as well as A processor coupled to the memory, wherein the processor is configured to, when executing the one or more instruction sequences, cause the device to perform the following operations: Obtaining status information of a painting device for painting the vehicle; Analyzing the status information to determine fault information of the spraying equipment; Determining the area of the vehicle where there is a quality risk based on the fault information of the spraying equipment includes: Based on the fault information of the painting equipment, determining the area of the vehicle where there is a quality risk according to a mapping relationship between the painting equipment and the painted area of the vehicle, wherein the mapping relationship indicates that a specific area of the vehicle is to be painted by a specific painting equipment, or Based on the time period of the spraying equipment failure, determining which event in a pre-stored event sequence the failure information corresponds to, wherein the pre-stored event sequence includes a series of events in which a specific spraying equipment sprays a specific area of the vehicle in a specific time period, and determining the area of the vehicle with risky quality according to the determined events; as well as Prompt information is generated, wherein the prompt information includes information indicating an area of the vehicle where a quality risk exists.
8. The apparatus of claim 7, wherein the time period of the spraying apparatus failure is determined by: A time period during which the state of the spraying equipment is a fault is determined according to the state information.
9. The apparatus of claim 7, wherein the time period of the spraying apparatus failure is determined by: A time period during which the spraying duration of the spraying device is greater than or less than a predetermined threshold is determined based on the state information.
10. The apparatus according to claim 7, wherein the prompt information further includes information indicating a painting device in an area causing a risky quality of the vehicle. The device according to claim 7 , further comprising a display configured to display the prompt information.
12. The device according to claim 7 or 10, wherein the processor is further configured to: The prompt information is displayed on a screen located on a production line of the vehicle.
13. The device according to claim 12, wherein causing the prompt information to be displayed on a screen located on a production line of the vehicle comprises: The prompt information is displayed on a screen located at a relevant position on a production line of the vehicle, wherein an operation performed at the relevant position is associated with an area of the vehicle where there is a quality risk.
14. A non-transitory computer-readable storage medium comprising one or more instruction sequences, which, when executed by one or more processors, cause the method of any one of claims 1-6 to be performed.
15. An apparatus for inspecting the painting quality of a vehicle, comprising means for executing the method according to any one of claims 1 to 6.