Vehicle sampling inspection method, terminal and readable storage medium

Abstract

The present invention discloses a vehicle random inspection method, a terminal and a readable storage medium. The vehicle random inspection method comprises: obtaining and storing vehicle specification information; receiving a vehicle random inspection instruction, and determining the current production line position of a target vehicle according to the vehicle random inspection instruction and the vehicle code; obtaining the current production line position of the target vehicle, and predicting and displaying the time when the target vehicle arrives at each production node according to a preset algorithm; detecting in real time whether an offline sensing signal of the target vehicle is received; if an offline sensing signal of the target vehicle is received, generating and displaying a reminder message according to the offline sensing signal, thereby improving the efficiency of vehicle random inspection.

Description

Technical Field

[0001] The present invention relates to the field of vehicle random inspection, and in particular to a vehicle random inspection method, a terminal and a readable storage medium. Background Art

[0002] At present, the sampling inspection method of vehicles is as follows: after the sampling inspection plan is determined, the sampling inspector needs to take the sampling sign to the production line to find the target vehicle. After finding the target vehicle, the sampling sign is placed, and then the target vehicle is waited for at the end of the production line before the vehicle can be driven into the evaluation field. In this sampling inspection method, it takes a lot of time for the sampling inspector to find the target vehicle, and it takes a long time to wait at the end of the production line, which makes the sampling inspection efficiency low.

[0003] Therefore, it is necessary to provide a vehicle random inspection method to solve the above technical problems.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a vehicle random inspection method, a terminal and a readable storage medium, aiming to solve the technical problem of low inspection efficiency caused by the current vehicle random inspection method.

[0006] To achieve the above object, the vehicle sampling inspection method proposed by the present invention comprises the following steps:

[0007] Obtain vehicle specification information and store it;

[0008] Receive a vehicle random inspection instruction, and determine the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle model specification information;

[0009] Obtain the current production line position of the target vehicle, and predict and display the time when the target vehicle arrives at each production node according to a preset algorithm;

[0010] Real-time detection of whether the offline sensing signal of the target vehicle is received;

[0011] If a detection signal of a target vehicle going offline is received, a reminder message is generated and displayed according to the detection signal going offline.

[0012] Preferably, the step of receiving a vehicle random inspection instruction and determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle model specification information comprises:

[0013] Receive vehicle sampling instructions, production instruction system information and production management system information, retrieve all target vehicles that meet the conditions in the production management system according to the vehicle model information set in the system, and obtain the vehicle code corresponding to the target vehicle;

[0014] The production management system information is received, and the current production line position of the target vehicle is retrieved from the production management information by comparing the vehicle code.

[0015] Preferably, the step of obtaining the current production line position of the target vehicle and predicting and displaying the time for the target vehicle to arrive at each production node according to a preset algorithm includes:

[0016] Obtaining the current production line position of the target vehicle, the position of each production node and the cycle time;

[0017] The time for the target vehicle to arrive at each production node is predicted and displayed according to the following formula:

[0018] t=(Z-Z1)*T

[0019] Among them, t is the time when the target vehicle arrives at each production node, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0020] Preferably, after the step of obtaining the current production line position of the target vehicle, the position of each production node and the tact time, the following steps are included:

[0021] Receive the flow time information of two vehicles before and after the production line, compare it with the beat time, and determine whether the production line corresponding to the target vehicle has any abnormality;

[0022] If an abnormality occurs in the production line, the time when the target vehicle arrives at each production node is calculated according to a preset correction algorithm, and the time when the target vehicle arrives at each production node is displayed.

[0023] Preferably, if the production line is abnormal, the time for the target vehicle to arrive at each production node is calculated according to a preset correction algorithm, and the step of displaying the time for the target vehicle to arrive at each production node includes:

[0024] Real-time monitoring of the trigger signals when the front and rear vehicles pass by, calculating the time difference between the two trigger signals, comparing it with the takt time, and determining whether the production line is abnormal. If it is greater than the takt time, it is determined that the production line is abnormal, and the abnormal time difference is recorded;

[0025] If an abnormal time difference is detected, the delay time is calculated and displayed based on the abnormal time difference and the standard beat time;

[0026] The time when the target vehicle arrives at each production node when an abnormality occurs on the production line is calculated according to the following formula, and the time when the target vehicle arrives at each production node when an abnormality occurs on the production line is displayed:

[0027] t'=T1+(Z-Z1)*T

[0028] Among them, t' is the time when the target vehicle arrives at each production node when an abnormality occurs on the production line, T1 is the delay time of the production line, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0029] Preferably, if the offline sensing signal of the target vehicle is received, the step of generating and displaying a reminder message according to the offline sensing signal comprises:

[0030] If an offline sensing signal of the target vehicle is received, the workshop information, parking space information and sampling items of the target vehicle are generated according to the offline sensing information;

[0031] The workshop information, the parking space information and the sampling inspection items are displayed.

[0032] Preferably, before the step of receiving the vehicle random inspection instruction and determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the sample information, the step includes:

[0033] Obtain and store the model configuration standards;

[0034] Obtain a vehicle random inspection plan, generate a vehicle random inspection plan table based on the vehicle model specification configuration standard and the vehicle random inspection plan, and display it.

[0035] Preferably, after the step of generating and displaying a reminder message according to the offline sensing signal if the offline sensing signal of the target vehicle is received, the method further comprises:

[0036] Receive the random inspection completion information of the target vehicle, and update the vehicle random inspection plan table according to the random inspection completion information.

[0037] The present invention also provides a terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned vehicle random inspection method when executing the computer program.

[0038] The present invention also provides a readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the vehicle random inspection method as described above are implemented.

[0039] In the technical solution of the present invention, by acquiring and storing vehicle specification information; receiving a vehicle random inspection instruction, determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle specification information; acquiring the current production line position of the target vehicle, predicting and displaying the time for the target vehicle to arrive at each production node according to a preset algorithm; and detecting in real time whether an offline sensing signal of the target vehicle is received; if an offline sensing signal of the target vehicle is received, generating and displaying a reminder message according to the offline sensing signal, the target vehicle position can be quickly found when the vehicle is randomly inspected, avoiding the inspector from searching for the vehicle online, and the vehicle can be dynamically tracked, without the inspector having to wait at the end of the production line, thereby improving the efficiency of vehicle random inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0041] Figure 1 It is a schematic diagram of the structure of a terminal in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 It is a schematic diagram of the process of the first embodiment of the vehicle sampling inspection method of the present invention;

[0043] Figure 3 This is a detailed flow chart of step S110 in the second embodiment of the vehicle sampling inspection method of the present invention;

[0044] Figure 4 Schematic diagram of the fourth embodiment of the vehicle sampling inspection method of the present invention.

[0045] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] It should be noted that in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0048] Embodiments of the present invention provide a vehicle random inspection method, a terminal, and a readable storage medium.

[0049] like Figure 1 As shown, the method of the present invention is applicable to a terminal, which may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a touch panel, a touch screen, and a keyboard, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatitle memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0050] Preferably, the terminal can also communicate with a vehicle random inspection system to obtain vehicle random inspection information through the vehicle random inspection system.

[0051] Those skilled in the art will understand that Figure 1 The terminal structure shown in the figure does not constitute a limitation on the terminal, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0052] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a vehicle sampling inspection process program.

[0053] The processor 1001 may be used to call a program stored in the memory 1005 and perform the following operations:

[0054] Obtain vehicle specification information and store it;

[0055] Receive a vehicle random inspection instruction, and determine the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle model specification information;

[0056] Obtain the current production line position of the target vehicle, and predict and display the time when the target vehicle arrives at each production node according to a preset algorithm;

[0057] Real-time detection of whether the offline sensing signal of the target vehicle is received;

[0058] If a detection signal of a target vehicle going offline is received, a reminder message is generated and displayed according to the detection signal going offline.

[0059] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0060] Receive vehicle sampling instructions, production instruction system information and production management system information, retrieve all target vehicles that meet the conditions in the production management system according to the vehicle model information set in the system, and obtain the vehicle code corresponding to the target vehicle;

[0061] The production management system information is received, and the current production line position of the target vehicle is retrieved from the production management information by comparing the vehicle code.

[0062] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0063] Obtaining the current production line position of the target vehicle, the position of each production node and the cycle time;

[0064] The time for the target vehicle to arrive at each production node is predicted and displayed according to the following formula:

[0065] t=(Z-Z1)*T

[0066] Among them, t is the time when the target vehicle arrives at each production node, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0067] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0068] Receive the flow time information of two vehicles before and after the production line, compare it with the beat time, and determine whether the production line corresponding to the target vehicle has any abnormality;

[0069] If an abnormality occurs in the production line, the time when the target vehicle arrives at each production node is calculated according to a preset correction algorithm, and the time when the target vehicle arrives at each production node is displayed.

[0070] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0071] Real-time monitoring of the trigger signals when the front and rear vehicles pass by, calculating the time difference between the two trigger signals, comparing it with the takt time, and determining whether the production line is abnormal. If it is greater than the takt time, it is determined that the production line is abnormal, and the abnormal time difference is recorded;

[0072] If an abnormal time difference is detected, the delay time is calculated and displayed based on the abnormal time difference and the standard beat time;

[0073] The time when the target vehicle arrives at each production node when an abnormality occurs on the production line is calculated according to the following formula, and the time when the target vehicle arrives at each production node when an abnormality occurs on the production line is displayed:

[0074] t'=T1+(Z-Z1)*T

[0075] Among them, t' is the time when the target vehicle arrives at each production node when an abnormality occurs on the production line, T1 is the delay time of the production line, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0076] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0077] If an offline sensing signal of the target vehicle is received, the workshop information, parking space information and sampling items of the target vehicle are generated according to the offline sensing information;

[0078] The workshop information, the parking space information and the sampling inspection items are displayed.

[0079] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0080] Obtain and store the model configuration standards;

[0081] Obtain a vehicle random inspection plan, generate a vehicle random inspection plan table based on the vehicle model specification configuration standard and the vehicle random inspection plan, and display it.

[0082] Further, the processor 1001 may be used to call the vehicle sampling inspection process program stored in the memory 1005, and further perform the following operations:

[0083] Receive the random inspection completion information of the target vehicle, and update the vehicle random inspection plan table according to the random inspection completion information.

[0084] Based on the above hardware structure, various embodiments of the vehicle random inspection process method of the present invention are proposed.

[0085] Please refer to Figure 2 , is a flow chart of a first embodiment of the vehicle sampling inspection method of the present invention. The vehicle sampling inspection method comprises the following steps:

[0086] Step S100, obtaining and storing vehicle specification information;

[0087] Specifically, those skilled in the art may establish a vehicle specification information database. By compiling all vehicle specification information, those skilled in the art may enter the codes of all vehicle parts into the vehicle specification information database, and the terminal may obtain the corresponding vehicle specification information.

[0088] Step S110, receiving a vehicle random inspection instruction, and determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle specification information;

[0089] Specifically, to implement step S100, the user can open the vehicle sampling inspection software in the terminal, select the sampling vehicle and sampling inspection items through the vehicle sampling inspection software, the vehicle sampling inspection software receives the specification information and vehicle code information in the production management system, compares the specification information of the target vehicle, retrieves the target vehicle code in the production management information, and determines the current production line position of the target vehicle according to the vehicle code.

[0090] Preferably, the sampling inspection instruction may also be pre-compiled by a technician in this field and stored in a vehicle database. The terminal obtains the sampling inspection instruction through the vehicle database to realize automatic vehicle sampling inspection.

[0091] Step S120, obtaining the current production line position of the target vehicle, and predicting and displaying the time for the target vehicle to arrive at each production node according to a preset algorithm.

[0092] Step S130, detecting in real time whether an offline sensing signal of the target vehicle is received;

[0093] Step S140: if a detection signal of the target vehicle going offline is received, a reminder message is generated and displayed according to the detection signal going offline.

[0094] Specifically, the vehicle sampling system can obtain the current production line position of the target vehicle through the production indication system, and then predict and display the time when the target vehicle arrives at each production node based on the current production line position and a preset algorithm. The preset algorithm is:

[0095] t=(Z-Z1)*T

[0096] Among them, t is the time when the target vehicle arrives at each production node, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the tact time. The position and tact time of each production node can be pre-stored in the vehicle sampling inspection system. By calculating the time when the target vehicle arrives at each production node and displaying it through the terminal, the target vehicle can be tracked in real time.

[0097] Preferably, after the time for the target vehicle to arrive at each production node is calculated, it can also be displayed through an indicator board. The indicator board can be set on each production node, and the employees at each production node can check the time when the target vehicle arrives at their production node through the indicator board.

[0098] In this embodiment, the arrival time of the target vehicle at each production node is predicted and displayed, and when the target vehicle goes offline, a reminder message is generated and displayed, so that the sampling personnel can track the dynamics of the target vehicle in real time and receive reminders in time. The sampling personnel do not need to wait at the end of the production line, thereby improving the efficiency of vehicle sampling.

[0099] Further, a second embodiment is proposed based on the first embodiment, referring to Figure 3 In this embodiment, step S110 includes:

[0100] Step S200, receiving the vehicle sampling instruction, the production instruction system information and the production management system information, searching all the target vehicles meeting the conditions in the production management system according to the vehicle model information set in the system, and obtaining the vehicle code corresponding to the target vehicle;

[0101] Step S210, receiving production management system information, comparing the vehicle code, and retrieving the current production line position of the target vehicle in the production management information.

[0102] In this embodiment, after the user sends a vehicle sampling inspection instruction through the vehicle sampling inspection software, the vehicle sampling inspection system can obtain the vehicle code corresponding to the target vehicle according to the vehicle sampling inspection instruction. The vehicle sampling inspection system sends the vehicle code of the target vehicle to the production indication system, and the production indication system can determine the current production line position of the target vehicle according to the vehicle code entered when all vehicles pass through each production node. In this embodiment, the vehicle sampling inspection system and the production indication system are used to realize the rapid retrieval and positioning of the target vehicle, which facilitates the accurate prediction of the time when the target vehicle arrives at each production node.

[0103] Furthermore, a third embodiment is proposed based on the first embodiment. In this embodiment, step S120 includes:

[0104] Obtaining the current production line position of the target vehicle, the position of each production node and the cycle time;

[0105] The time for the target vehicle to arrive at each production node is predicted and displayed according to the following formula:

[0106] t=(Z-Z1)*T

[0107] Among them, t is the time when the target vehicle arrives at each production node, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0108] In this embodiment, after the current production line position of the target vehicle is obtained, the time for the target vehicle to arrive at each production node can be predicted through the pre-stored position and cycle time of each production node, so as to track the dynamic position of the target vehicle. The time for the target vehicle to arrive at each production node includes the time when the target vehicle goes offline. The sampling personnel can check the time when the target vehicle goes offline, so that they can arrange their own time reasonably and do not need to wait at the end of the production line of the target vehicle too early.

[0109] Preferably, after the vehicle sampling inspection system calculates the time when the target vehicle arrives at each production node, it can be displayed through an indicator board, which can be set at each production node, and the employees at each production node can view the time when the target vehicle arrives at the production node through the indicator board. The vehicle sampling inspection system can also communicate with the mobile terminal equipped by the sampling inspection personnel, and send the time when the target vehicle arrives at each production node to the mobile terminal to ensure that the sampling inspection personnel can view it in real time to avoid delaying the vehicle sampling inspection progress.

[0110] Further, a fourth embodiment is proposed based on the third embodiment, referring to Figure 4 In this embodiment, after the step of obtaining the position and cycle time of each production node, the following steps are included:

[0111] Step S300, receiving the flow time information of two vehicles before and after the production line, comparing the takt time, and determining whether the production line corresponding to the target vehicle has an abnormality;

[0112] Step S310, if the production line is abnormal, the time when the target vehicle arrives at each production node is calculated according to the first preset correction algorithm, and the time when the target vehicle arrives at each production node is displayed;

[0113] If there is no abnormality in the production line, no action will be taken.

[0114] In this embodiment, the production line corresponding to the target vehicle may experience abnormal situations such as line shutdown and vehicle repair, which may cause the target vehicle to be unable to come off the line on time. At this time, the time for the target vehicle to arrive at each production node is predicted through a preset correction algorithm. By correcting the time for the target vehicle to arrive at each production node, it is ensured that the target vehicle can be accurately tracked even after an abnormality occurs in the production line.

[0115] Furthermore, a fifth embodiment is proposed based on the fourth embodiment. In this embodiment, step S410 includes:

[0116] Real-time monitoring of the trigger signals when the front and rear vehicles pass by, calculating the time difference between the two trigger signals, comparing it with the takt time, and determining whether the production line is abnormal. If it is greater than the takt time, it is determined that the production line is abnormal, and the abnormal time difference is recorded;

[0117] If an abnormal time difference is detected, the delay time is calculated and displayed based on the abnormal time difference and the standard beat time;

[0118] Specifically, when the production line is abnormal, the vehicle sampling inspection system can detect the abnormality of the production line and record the time when the production line is abnormal. When the production line is restored, a production line restoration signal will be issued, and the vehicle sampling inspection system can detect the production line restoration signal in real time.

[0119] Specifically, when the production line recovery signal is detected, the delay time is calculated and displayed based on the time when the production line abnormality occurred and the production line recovery time. The delay time can be used to know the working hours of the production line employees who have been delayed due to the production line abnormality, and the production line employees can be reminded to return to work.

[0120] The time when the target vehicle arrives at each production node when an abnormality occurs on the production line is calculated according to the following formula, and the time when the target vehicle arrives at each production node when an abnormality occurs on the production line is displayed:

[0121] t'=T1+(Z-Z1)*T

[0122] Among them, t' is the time when the target vehicle arrives at each production node when an abnormality occurs on the production line, T1 is the delay time of the production line, Z is the position of each production node, Z1 is the current production line position of the target vehicle, and T is the cycle time.

[0123] In this embodiment, after obtaining the time when the production line returns to normal, the time for the target vehicle to arrive at each production node can be predicted and displayed through the pre-stored position and beat time of each production node, so as to track the dynamic position of the target vehicle after the production line is restored, and ensure that after an abnormality occurs in the production line, the sampling personnel can also accurately obtain the time when the target vehicle goes offline.

[0124] Further, a sixth embodiment is proposed based on the first embodiment. In this embodiment, if the offline sensing signal of the target vehicle is received, the step of generating and displaying a reminder message according to the offline sensing signal includes:

[0125] If an offline sensing signal of the target vehicle is received, the workshop information, parking space information and sampling items of the target vehicle are generated according to the offline sensing information;

[0126] The workshop information, the parking space information and the sampling inspection items are displayed.

[0127] Specifically, if an offline sensing signal of the target vehicle is received, the workshop and parking space where the sampling inspection area is located will be identified according to the offline sensing signal and the workshop information and parking space information will be generated, and the sampling inspection items corresponding to the target vehicle can be identified. By displaying the workshop information, the parking space information and the sampling inspection items, the sampling inspection personnel can be reminded to inspect the target vehicle and can quickly locate the target vehicle, thereby improving the sampling inspection efficiency.

[0128] Furthermore, a seventh embodiment is proposed based on the first embodiment. In this embodiment, before the step of receiving a vehicle sampling inspection instruction and determining the current production line position of the target vehicle according to the vehicle sampling inspection instruction and the sample information, the seventh embodiment includes:

[0129] Obtain and store the model configuration standards;

[0130] Obtain a vehicle random inspection plan, generate a vehicle random inspection plan table based on the vehicle model specification configuration standard and the vehicle random inspection plan, and display it.

[0131] In this embodiment, the terminal can obtain and store the vehicle model style information through the vehicle parts and components information system (G-ALS system), for example: through the preset code, read the 588-bit specified field in the G-ALS system, record the qualified fields into the database, and then convert the required fields into the vehicle model style information and display them, such as displacement, color, gearbox model, emission standard, etc. The vehicle sampling inspection software in the terminal can obtain the vehicle sampling inspection plan, and generate and display the vehicle sampling inspection plan form according to the vehicle model style information and the vehicle sampling inspection plan. The vehicle sampling inspection plan can be a sampling inspection plan formulated by the sampling inspection personnel according to the production plan, for example: it is planned to sample 4 white vehicles and 3 red vehicles every day. The vehicle sampling inspection software will generate and display the vehicle sampling inspection plan form according to the vehicle model style information and the vehicle sampling inspection plan, and the vehicle sampling inspection plan form is used to reflect the implementation of the vehicle sampling inspection plan, for example: 4 red vehicles are planned to be sampled, and 1 vehicle has actually been sampled; vehicle No. 1 is qualified in the sampling inspection, and vehicle No. 2 is unqualified in the sampling inspection, etc.

[0132] Further, an eighth embodiment is proposed based on the seventh embodiment. In this embodiment, after the step of generating and displaying a reminder message according to the offline sensing signal if the offline sensing signal of the target vehicle is received, the eighth embodiment includes:

[0133] Receive the random inspection completion information of the target vehicle, and update the vehicle random inspection plan table according to the random inspection completion information.

[0134] In this embodiment, when the sampling inspection personnel completes the sampling inspection of the target vehicle, the sampling inspection completion information can be sent to the terminal. After receiving the sampling inspection completion information, the terminal updates the sampling inspection plan table of the vehicle 15 so that the sampling inspection personnel can understand the sampling inspection situation in real time.

[0135] The present invention also provides a readable storage medium, on which a computer program is stored. When the computer program is executed by a processing unit, the steps of the vehicle random inspection process method as described above are implemented.

[0136] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0137] 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 processes in the flowchart and / or block diagram. 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.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0140] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0141] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0142] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A vehicle sampling inspection method, characterized in that: The vehicle sampling inspection method comprises the following steps: Obtain vehicle specification information and store it; Receiving a vehicle random inspection instruction, and determining a current production line position of a target vehicle according to the vehicle random inspection instruction and the vehicle specification information; Obtain the current production line position of the target vehicle, predict and display the time when the target vehicle arrives at each production node according to a preset algorithm, and send the time when the target vehicle arrives at each production node to the mobile terminal for real-time viewing by the sampling personnel; Real-time detection of whether an offline sensing signal of the target vehicle is received; If a detection signal of the target vehicle going offline is received, a reminder message is generated and displayed according to the detection signal going offline; Wherein, if the offline sensing signal of the target vehicle is received, the step of generating and displaying the reminder information according to the offline sensing signal includes: If an offline sensing signal of the target vehicle is received, the workshop information, parking space information and sampling items of the target vehicle are generated according to the offline sensing information; Displaying the workshop information, the parking space information and the sampling inspection items; Wherein, before the step of receiving the vehicle random inspection instruction and determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the sample information, the step includes: Obtain and store the model configuration standards; Obtaining a vehicle sampling inspection plan, generating and displaying a vehicle sampling inspection plan table according to the vehicle model specification configuration standard and the vehicle sampling inspection plan; Wherein, after the step of generating and displaying a reminder message according to the offline sensing signal if the offline sensing signal of the target vehicle is received, the method further comprises: Receive the random inspection completion information of the target vehicle, and update the vehicle random inspection plan table according to the random inspection completion information.

2. The vehicle sampling inspection method according to claim 1, characterized in that: The step of receiving a vehicle random inspection instruction and determining the current production line position of the target vehicle according to the vehicle random inspection instruction and the vehicle specification information comprises: Receive vehicle sampling instructions, production instruction system information and production management system information, retrieve all target vehicles that meet the conditions in the production management system according to the vehicle specification information set in the system, and obtain the vehicle code corresponding to the target vehicle; The production management system information is received, and the current production line position of the target vehicle is retrieved from the production management information by comparing the vehicle code.

3. The vehicle sampling inspection method according to claim 1, characterized in that: The step of obtaining the current production line position of the target vehicle and predicting and displaying the time when the target vehicle arrives at each production node according to a preset algorithm includes: Obtaining the current production line position of the target vehicle, the position of each production node and the cycle time; The time for the target vehicle to arrive at each production node is predicted and displayed according to the following formula: Wherein, t is the time when the target vehicle arrives at each production node, Z is the position of each production node, is the current production line position of the target vehicle, and T is the cycle time.

4. The vehicle sampling inspection method according to claim 3, characterized in that: After the step of obtaining the current production line position of the target vehicle, the position of each production node and the takt time, the method further includes: Receive the flow time information of two vehicles before and after the production line, compare it with the beat time, and determine whether the production line corresponding to the target vehicle has any abnormality; If an abnormality occurs in the production line, the time when the target vehicle arrives at each production node is calculated according to a preset correction algorithm, and the time when the target vehicle arrives at each production node is displayed.

5. The vehicle sampling inspection method according to claim 4, characterized in that: If the production line is abnormal, the time for the target vehicle to arrive at each production node is calculated according to a preset correction algorithm, and the step of displaying the time for the target vehicle to arrive at each production node includes: Real-time monitoring of the trigger signals when the front and rear vehicles pass by, calculating the time difference between the two trigger signals, comparing it with the takt time, and determining whether the production line is abnormal. If it is greater than the takt time, it is determined that the production line is abnormal, and the abnormal time difference is recorded; If an abnormal time difference is detected, the delay time is calculated and displayed based on the abnormal time difference and the standard beat time; The time when the target vehicle arrives at each production node when an abnormality occurs on the production line is calculated according to the following formula, and the time when the target vehicle arrives at each production node when an abnormality occurs on the production line is displayed: in, is the time when the target vehicle arrives at each production node when an abnormality occurs on the production line, is the delay time of the production line, Z is the position of each production node, is the current production line position of the target vehicle, and T is the cycle time.

6. A terminal, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the vehicle random inspection method as claimed in any one of claims 1 to 5 when executing the computer program.

7. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the vehicle random inspection method according to any one of claims 1 to 5 are implemented.

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