CN113011647B - Vehicle spot-passing time prediction method in spot inspection process, terminal and readable storage medium - Google Patents
Vehicle spot-passing time prediction method in spot inspection process, terminal and readable storage medium Download PDFInfo
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Abstract
The invention discloses a method for predicting the passing time in the vehicle spot inspection process, a terminal and a readable storage medium, wherein the method for predicting the passing time in the vehicle spot inspection process comprises the following steps: acquiring and storing vehicle pattern 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 sampling information; and acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node, so that the vehicle can be tracked in real time in the vehicle sampling inspection process.
Description
Technical Field
The invention relates to the field of vehicle spot inspection, in particular to a method for predicting the passing time in the vehicle spot inspection process, a terminal and a readable storage medium.
Background
At present, when the vehicle is subjected to spot inspection, after an inspector determines a spot inspection plan, the inspector needs to hold an extraction indicator to a production line to search for a target vehicle, and after the target vehicle is found, the extraction indicator is placed, and then the vehicle can be driven to enter an evaluation field after waiting for the target vehicle to be off line at the tail of the production line. According to the spot check method, a spot checker cannot track the target vehicle in real time.
Therefore, it is necessary to provide a method for predicting the passing time during vehicle spot inspection to solve the above technical problems.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a terminal and a readable storage medium for predicting the passing time in the vehicle spot inspection process, and aims to solve the technical problem that the target vehicle cannot be tracked in real time in the current vehicle spot inspection process.
In order to achieve the purpose, the invention provides a method for predicting the passing time in the vehicle spot inspection process, which comprises the following steps:
acquiring and storing vehicle pattern 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 sampling information;
and acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node.
Preferably, the step of receiving a vehicle sampling instruction, and determining the current production line position of the target vehicle according to the vehicle sampling instruction and the vehicle sampling information comprises:
receiving a vehicle spot check instruction, and acquiring a vehicle code corresponding to the target vehicle according to the vehicle spot check instruction;
receiving production management system information, and retrieving the current production line position of the target vehicle in the production management information by contrasting a vehicle code corresponding to the target vehicle;
and acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node.
Preferably, the step of obtaining the position and takt time of each production node, and calculating and displaying the time when the target vehicle reaches each production node according to the current production line position of the target vehicle, the position and takt time of each production node comprises:
acquiring the position and the beat time of each production node;
calculating the time of the target vehicle reaching each production node according to the following formula, and displaying the time of the target vehicle reaching each production node:
t＝(Z-Z 1 )*T
wherein t is the time when the target vehicle reaches each production node, Z is the position of each production node, and Z 1 And T is the beat time of the current production line position of the target vehicle.
Preferably, after the step of acquiring the position and the tact time of each production node, the method includes:
receiving the flowing time information of two vehicles at the front and the rear of the production line, and judging whether the production line corresponding to the target vehicle is abnormal or not by contrasting the beat time;
and if the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node.
Preferably, if the production line is abnormal, the step of calculating the time when the target vehicle reaches each production node according to a first preset correction algorithm and displaying the time when the target vehicle reaches each production node comprises:
monitoring the trigger signals when the front and the rear trolleys pass through in real time, calculating the time difference of the two trigger signals, comparing the beat time, judging whether the production line is abnormal or not, if the beat time is longer than the beat time, judging that the production line is abnormal, and recording the abnormal time difference;
if the abnormal time difference is detected, calculating delay time according to the abnormal time difference and the standard beat time and displaying the delay time;
calculating the time of the target vehicle reaching each production node when the production line is abnormal according to the following formula, and displaying the time of the target vehicle reaching each production node when the production line is abnormal:
t'＝T 1 +(Z-Z 1 )*T
wherein T' is the time when the target vehicle reaches each production node when the production line is abnormal, T 1 For said production line delay time, Z is the position of each of said production nodes, Z 1 T is the beat time for the current production line position of the target vehicle.
Preferably, after the step of acquiring the position and the tact time of each production node, the method further includes:
detecting whether a line break plan is preset in a production line corresponding to the target vehicle;
and if the production line is preset with the line break plan, predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm.
Preferably, if the line break plan is preset in the production line, the step of predicting and displaying the time when the target vehicle reaches each production node according to a second preset correction algorithm includes:
if the production line is preset with the line break plan, detecting whether the preset line break time is reached in real time;
if the preset line break time is reached, acquiring the preset line break time;
calculating the time of the target vehicle reaching each production node when the line break plan is preset in the production line according to the following formula, and displaying the time of the target vehicle reaching each production node when the line break plan is preset in the production line:
t”＝T 1 +(Z-Z 1 )*T+T 2
wherein T is the time when the target vehicle reaches each production node when a line break plan is preset in the production line, T 1 For time delay, Z is the position of each of the production nodes, Z 1 Is the current production line position of the target vehicle, T is the beat time, T 2 The line break duration is preset.
Preferably, after the step of obtaining the position and takt time of each production node, and calculating and displaying the time when the target vehicle reaches each production node according to the current production line position of the target vehicle, the position and takt time of each production node, the method includes:
acquiring the actual time of the target vehicle reaching the final production node and the calculated time of the target vehicle reaching each production node;
calculating to obtain a prediction error according to the actual time and the time of the target vehicle reaching the final production node;
judging whether the prediction error is larger than a preset threshold value or not;
and if the prediction error is larger than the preset threshold, generating alarm information and displaying the alarm information.
The invention also provides a terminal, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the method for predicting the passing time in the vehicle spot inspection process.
The invention also provides a readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for predicting the passing time in the process of vehicle spot inspection as described above.
According to the technical scheme, vehicle sampling information is obtained and stored; receiving a vehicle selective inspection instruction, and determining the current production line position of a target vehicle according to the vehicle selective inspection instruction and the vehicle sampling information; and acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node. The vehicle can be dynamically tracked.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a terminal in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a first embodiment of a method for predicting passing time during a vehicle spot check according to the present invention;
fig. 3 is a detailed flowchart of step S110 in the second embodiment of the method for predicting the passing point time in the vehicle spot check process according to the present invention;
FIG. 4 is a flowchart illustrating a fourth embodiment of a method for predicting passing time during a vehicle spot check according to the present invention;
fig. 5 is a flowchart illustrating a sixth embodiment of a method for predicting passing time during a vehicle spot check process according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that, in the present invention, the descriptions such as the description relating to "first", "second", etc. are only used for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
The embodiment of the invention provides a method for predicting the passing time of a vehicle in a spot inspection process, a terminal and a readable storage medium.
As shown in fig. 1, the method of the present invention is applicable to a terminal, and the terminal 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. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may comprise a touch-sensitive pad, touch screen, keyboard, and the optional user interface 1003 may also comprise a standard wired, wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory, such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Preferably, the terminal can also communicate with a vehicle spot check system, and vehicle spot check information is acquired through the vehicle spot check system.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a vehicle spot check process program.
The processor 1001 may be configured to invoke the vehicle spot check procedure stored in the memory 1005 and perform the following operations:
acquiring and storing vehicle pattern information;
receiving a vehicle selective inspection instruction, and determining the current production line position of a target vehicle according to the vehicle selective inspection instruction and the vehicle sampling information;
and acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
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 sampling information comprises the following steps:
receiving a vehicle spot check instruction, and acquiring a vehicle code corresponding to the target vehicle according to the vehicle spot check instruction;
and receiving the production management system information, and searching the current production line position of the target vehicle in the production management information by contrasting the vehicle code corresponding to the target vehicle.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
the step of acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node comprises the following steps:
acquiring the position and the beat time of each production node;
calculating the time of the target vehicle reaching each production node according to the following formula, and displaying the time of the target vehicle reaching each production node:
t＝(Z-Z 1 )*T
wherein t is the time when the target vehicle reaches each production node, Z is the position of each production node, and Z 1 T is the beat time for the current production line position of the target vehicle.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
after the step of obtaining the position and the beat time of each production node, the method includes:
receiving the flowing time information of two vehicles at the front and the rear of the production line, and judging whether the production line corresponding to the target vehicle is abnormal or not by contrasting the beat time;
and if the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node.
Further, the processor 1001 may be configured to invoke the vehicle spot check procedure stored in the memory 1005 and further perform the following operations:
if the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node comprises the following steps:
monitoring trigger signals when the front trolley and the rear trolley pass through in real time, calculating the time difference of the two trigger signals, comparing with the beat time, judging whether the production line is abnormal or not, if the time difference is larger than the beat time, judging that the production line is abnormal, and recording the abnormal time difference;
if the abnormal time difference is detected, calculating delay time according to the abnormal time difference and the standard beat time and displaying the delay time;
calculating the time of the target vehicle reaching each production node when the production line is abnormal according to the following formula, and displaying the time of the target vehicle reaching each production node when the production line is abnormal:
t'＝T 1 +(Z-Z 1 )*T
wherein T' is the time when the target vehicle reaches each production node when the production line is abnormal, T 1 For said production line delay time, Z is the position of each of said production nodes, Z 1 And T is the beat time of the current production line position of the target vehicle.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
after the step of obtaining the position and the beat time of each production node, the method further includes:
detecting whether a line break plan is preset in a production line corresponding to the target vehicle;
and if the production line is preset with the line break plan, predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
if the production line is preset with the line break plan, the step of predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm comprises the following steps:
if the production line is preset with the line break plan, detecting whether the preset line break time is reached in real time;
if the preset line break time is reached, acquiring the preset line break time length;
calculating the time of the target vehicle reaching each production node when the line break plan is preset in the production line according to the following formula, and displaying the time of the target vehicle reaching each production node when the line break plan is preset in the production line:
t”＝T 1 +(Z-Z 1 )*T+T 2
wherein T is the time when the target vehicle reaches each production node when a line break plan is preset in the production line, T 1 For time delay, Z is the position of each of the production nodes, Z 1 Is the current production line position of the target vehicle, T is the beat time, T 2 The line break duration is preset.
Further, the processor 1001 may be configured to invoke a vehicle spot check process program stored in the memory 1005, and further perform the following operations:
after the step of obtaining the position and the tact time of each production node and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the tact time of each production node, the method comprises the following steps:
acquiring the actual time of the target vehicle reaching the final production node and the calculated time of the target vehicle reaching each production node;
calculating to obtain a prediction error according to the actual time and the time of the target vehicle reaching the final production node;
judging whether the prediction error is larger than a preset threshold value or not;
and if the prediction error is larger than the preset threshold, generating alarm information and displaying the alarm information.
Based on the hardware structure, the invention provides various embodiments of the method for predicting the passing time in the vehicle spot inspection process.
Fig. 2 is a flowchart illustrating a method for predicting passing-point time in a vehicle spot inspection process according to a first embodiment of the present invention. The method for predicting the passing time in the vehicle spot inspection process comprises the following steps:
step S100, obtaining and storing vehicle weight sample information;
specifically, a person skilled in the art can establish a vehicle model information database, and the person skilled in the art can enter codes of all vehicle parts into the vehicle model information database by compiling all vehicle model information, so that the terminal can acquire corresponding vehicle model information.
Step S110, 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 sampling information;
specifically, to implement step S100, the user may open vehicle spot check software in the terminal, select spot check vehicles and spot check items through the vehicle spot check software, receive the axle information and the vehicle code information in the production management system, search the target vehicle code in the production management information against the axle information of the target vehicle, and determine the current production line position of the target vehicle according to the vehicle code.
Preferably, the selective examination instruction may also be compiled in advance by a person skilled in the art and stored in a finished automobile database, and the terminal acquires the selective examination instruction through the finished automobile database to realize automatic selective examination of the vehicle.
And step S120, acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position of each production node and the takt time.
Specifically, the vehicle spot inspection system may 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 reaches each production node according to the current production line position and a preset algorithm. The preset algorithm is as follows:
t＝(Z-Z 1 )*T
wherein t is the time when the target vehicle reaches each production node, Z is the position of each production node, and Z 1 T is a tact time, and the position and tact time of each production node may be stored in the vehicle spot check system in advance. And calculating the time of the target vehicle reaching each production node and displaying the time through the terminal, so that the target vehicle can be tracked in real time.
Preferably, after the time when the target vehicle reaches each production node is obtained through calculation, the time can be displayed through an indication billboard, the indication billboard can be arranged on each production node, and staff on each production node can check the time when the target vehicle reaches the production node through the indication billboard.
In the embodiment, the time of the target vehicle reaching each production node is predicted and displayed, and when the target vehicle is off-line, the reminding information is generated and displayed, so that the casual inspection personnel can track the dynamic state of the target vehicle in real time and can receive reminding in time, the casual inspection personnel do not need to wait at the tail of a production line, and the vehicle casual inspection efficiency is improved.
Further, a second embodiment is proposed based on the first embodiment, and referring to fig. 3, in this embodiment, the step S110 includes:
step S200, receiving a vehicle sampling inspection instruction, and acquiring a vehicle code corresponding to the target vehicle according to the vehicle sampling inspection instruction;
step S210, receiving the production management system information, and retrieving the current production line position of the target vehicle in the production management information by referring to the vehicle code corresponding to the target vehicle.
In this embodiment, after the user sends the vehicle spot check instruction through the vehicle spot check software, the vehicle spot check system may obtain the vehicle code corresponding to the target vehicle according to the vehicle spot check instruction. The vehicle spot inspection system sends the vehicle codes of the target vehicles to the production indicating system, and the production indicating system can determine the current production line position of the target vehicles according to the vehicle codes input when all vehicles pass through each production node. In the embodiment, the target vehicle is quickly retrieved and positioned through the vehicle spot-checking system and the production indicating system, so that the time for the target vehicle to reach each production node is accurately predicted conveniently.
Further, a third embodiment is proposed based on the first embodiment, and in this embodiment, the step S120 includes:
acquiring the position and the beat time of each production node;
calculating the time of the target vehicle reaching each production node according to the following formula, and displaying the time of the target vehicle reaching each production node:
t＝(Z-Z 1 )*T
wherein t is the time when the target vehicle reaches each production node, Z is the position of each production node, and Z 1 And T is the beat time of the current production line position of the target vehicle.
In this embodiment, after the current production line position of the target vehicle is obtained, the time that the target vehicle reaches each production node can be predicted according to the pre-stored position and the beat time of each production node, so that the dynamic position of the target vehicle can be tracked, wherein the time that the target vehicle reaches each production node comprises the offline time of the target vehicle, and a sampling inspector can check the offline time of the target vehicle, so that the self-time can be reasonably scheduled, and the target vehicle does not need to wait at the tail of the production line of the target vehicle too early.
Preferably, after the vehicle spot-check system calculates the time when the target vehicle reaches each production node, the time can be displayed through an indication board, the indication board can be arranged on each production node, and employees on each production node can check the time when the target vehicle reaches the production node through the indication board. The vehicle spot-checking system can also be communicated with a mobile terminal equipped by spot-checking personnel, and the time of the target vehicle reaching each production node is sent to the mobile terminal, so that the spot-checking personnel can check the target vehicle in real time, and the delay of the vehicle spot-checking progress is avoided.
Further, a fourth embodiment is proposed based on the third embodiment, and referring to fig. 4, in this embodiment, after the step of acquiring the position and the tact time of each production node, the method includes:
step S300, receiving the flowing time information of two vehicles at the front and the rear of the production line, and judging whether the production line corresponding to the target vehicle is abnormal or not by contrasting the beat time;
step S310, if the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node;
and if the production line is not abnormal, the processing is not carried out.
In this embodiment, abnormal situations such as stopping of the production line and vehicle repair may occur in the production line corresponding to the target vehicle, so that the target vehicle cannot be offline on time, at this time, the time when the target vehicle reaches each production node is predicted through a preset correction algorithm, and the time when the target vehicle reaches each production node is corrected, so that the target vehicle can be accurately tracked even after the production line is abnormal.
Further, a fifth embodiment is proposed based on the fourth embodiment, and in this embodiment, the step S410 includes:
monitoring the trigger signals when the front and the rear trolleys pass through in real time, calculating the time difference of the two trigger signals, comparing the beat time, judging whether the production line is abnormal or not, if the beat time is longer than the beat time, judging that the production line is abnormal, and recording the abnormal time difference;
if the abnormal time difference is detected, calculating delay time according to the abnormal time difference and the standard beat time and displaying the delay time;
specifically, when the production line recovery signal is detected, delay time is calculated and displayed according to the time when the production line is abnormal and the production line recovery time, the time when the production line staff delays due to the production line abnormality can be known according to the delay time, and the production line staff can be reminded to go on duty again.
If the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node:
t'＝T 1 +(Z-Z 1 )*T
wherein T' is the time when the target vehicle reaches each production node when the production line is abnormal, T 1 For said production line delay time, Z is the position of each of said production nodes, Z 1 And T is the beat time of the current production line position of the target vehicle.
In this embodiment, after the production line delay time is obtained, the time of the target vehicle reaching each production node can be predicted and displayed according to the pre-stored position and the beat time of each production node, so that the dynamic position of the target vehicle is tracked after the production line is recovered, and the sampling inspection personnel can accurately obtain the offline time of the target vehicle after the production line is abnormal.
Further, a sixth embodiment is proposed based on the third embodiment, and referring to fig. 5, in this embodiment, after the step of acquiring the position and the tact time of each production node, the method includes:
step S400, detecting whether a line break plan is preset in a production line corresponding to the target vehicle;
step S410, if the line break plan is preset in the production line, predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm;
and if the production line does not preset the line break plan, not processing.
In this embodiment, because the staff leave the vacation or overhaul the production line, the casual inspection staff can make a line break plan corresponding to the production line and store the line break plan in the vehicle casual inspection system, and when the production line corresponding to the target vehicle is preset with the line break plan, the time when the target vehicle arrives at each production node is predicted and displayed according to a second preset correction algorithm, so that the target vehicle can be accurately tracked after the production line is broken.
Further, a seventh embodiment is proposed based on the sixth embodiment, and in this embodiment, the step S410 includes:
if the line break plan is preset in the production line, detecting whether the preset line break time is reached in real time;
if the preset line break time is reached, acquiring the preset line break time;
calculating the time of the target vehicle reaching each production node when the line break plan is preset in the production line according to the following formula, and displaying the time of the target vehicle reaching each production node when the line break plan is preset in the production line:
t”＝T 2 +(Z-Z 1 )*T+T 3
wherein T is the time when the target vehicle arrives at each production node when a break-line plan is preset in the production line, T 2 For time delay, Z is the position of each of the production nodes, Z 1 Is the current production line position of the target vehicle, T is the beat time, T 3 The time length of line break is preset.
Specifically, in the actual production process, the production line may have planned line break, the spot check staff makes a line break plan and stores the line break plan in the vehicle spot check system, and when the delay time is detected in real time, the time when the target vehicle reaches each production node also needs to be predicted.
In this embodiment, when the production line is scheduled to be shut down, the time when the target vehicle reaches each production node may also be predicted according to the line-break plan, so that after the production line is scheduled to be shut down, the sampling inspection personnel may also accurately obtain the offline time of the target vehicle.
Further, an eighth sixth embodiment is proposed based on the first embodiment, and in this embodiment, after the step S120, the method includes:
acquiring the actual time of the target vehicle reaching the final production node and the calculated time of the target vehicle reaching the final production node;
calculating to obtain a prediction error according to the actual time and the time of the target vehicle reaching the final production node;
judging whether the prediction error is larger than a preset threshold value or not;
and if the prediction error is larger than the preset threshold, generating alarm information and displaying the alarm information.
In this embodiment, a prediction error is calculated by using the actual time and the calculated time when the target vehicle arrives at each production node, and whether the production line is abnormal or not can be found by comparing the prediction error with a preset threshold. The preset threshold may be 120 seconds, and the prediction error is an absolute value of a difference between the actual time and the predicted time. When the preset error is more than 120 seconds, the extracted vehicle is abnormal and cannot reach the final node on time, so that the inspection personnel can replace the vehicle in time, and the spot check evaluation is guaranteed to be carried out smoothly.
The present invention also provides a readable storage medium having stored thereon a computer program which, when being executed by a processing unit, carries out the steps of the method for predicting a passing point time in a vehicle spot check procedure as set forth above.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A method for predicting the passing point time in the vehicle spot check process is characterized by comprising the following steps of:
acquiring and storing vehicle pattern 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 sampling information;
acquiring the position and the takt time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the takt time of each production node;
after the step of obtaining the position and the takt time of each production node and calculating and displaying the time when the target vehicle reaches each production node according to the current production line position of the target vehicle, the position and the takt time of each production node, the method comprises the following steps:
acquiring the actual time of the target vehicle reaching the final production node and the calculated time of the target vehicle reaching the final production node;
calculating to obtain a prediction error according to the actual time and the calculated time of the target vehicle reaching the final production node;
judging whether the prediction error is larger than a preset threshold value or not;
and if the prediction error is larger than the preset threshold, generating alarm information and displaying the alarm information.
2. The method of predicting the passing time during vehicle spot check as claimed in claim 1, wherein said step of receiving a vehicle spot check command, and determining the current manufacturing line location of the target vehicle based on the vehicle spot check command and the vehicle sampling information comprises:
receiving a vehicle spot check instruction, and acquiring a vehicle code corresponding to the target vehicle according to the vehicle spot check instruction;
and receiving the production management system information, and searching the current production line position of the target vehicle in the production management information by contrasting the vehicle code corresponding to the target vehicle.
3. The method for predicting the passing time of the vehicle in the spot inspection process according to claim 1, wherein the step of obtaining the position and the tact time of each production node, and calculating and displaying the time of the target vehicle reaching each production node according to the current production line position of the target vehicle, the position and the tact time of each production node comprises:
acquiring the position and the beat time of each production node;
calculating the time of the target vehicle reaching each production node according to the following formula, and displaying the time of the target vehicle reaching each production node:
t=(Z-Z 1 )*T
wherein t is the time when the target vehicle reaches each production node, Z is the position of each production node, and Z 1 And T is the beat time of the current production line position of the target vehicle.
4. The method for predicting the passing time of the vehicle spot check according to claim 3, wherein the step of obtaining the position and tact time of each production node is followed by:
receiving the flowing time information of two vehicles at the front and the rear of the production line, and judging whether the production line corresponding to the target vehicle is abnormal or not by contrasting the beat time;
and if the production line is abnormal, calculating the time of the target vehicle reaching each production node according to a first preset correction algorithm, and displaying the time of the target vehicle reaching each production node.
5. The method as claimed in claim 4, wherein if the production line is abnormal, the method calculates the time of the target vehicle reaching each production node according to a first preset correction algorithm, and the step of displaying the time of the target vehicle reaching each production node comprises:
monitoring trigger signals when the front trolley and the rear trolley pass through in real time, calculating the time difference of the two trigger signals, comparing with the beat time, judging whether the production line is abnormal or not, if the time difference is larger than the beat time, judging that the production line is abnormal, and recording the abnormal time difference;
if the abnormal time difference is detected, calculating delay time according to the abnormal time difference and the standard beat time and displaying the delay time;
calculating the time of the target vehicle reaching each production node when the production line is abnormal according to the following formula, and displaying the time of the target vehicle reaching each production node when the production line is abnormal:
t'=T 1 +(Z-Z 1 )*T
wherein T' is the time when the target vehicle reaches each production node when the production line is abnormal, T 1 For the production line delay time, Z is the position of each of the production nodes, Z 1 And T is the beat time of the current production line position of the target vehicle.
6. The method for predicting the passing time of the vehicle spot check according to claim 3, wherein the step of obtaining the position and the tact time of each production node is followed by further comprising:
detecting whether a line break plan is preset in a production line corresponding to the target vehicle;
and if the production line is preset with the line break plan, predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm.
7. The method for predicting the passing time of the vehicle in the spot inspection process according to claim 6, wherein if the line break plan is preset in the production line, the step of predicting and displaying the time of the target vehicle reaching each production node according to a second preset correction algorithm comprises:
if the production line is preset with the line break plan, detecting whether the preset line break time is reached in real time;
if the preset line break time is reached, acquiring the preset line break time;
calculating the time of the target vehicle reaching each production node when the production line is preset with a line break plan according to the following formula, and displaying the time of the target vehicle reaching each production node when the production line is preset with the line break plan:
t"=T 1 +(Z-Z 1 )*T+T 2
wherein T is the time when the target vehicle reaches each production node when a line break plan is preset in the production line, T 1 For time delay, Z is the position of each of the production nodes, Z 1 Is the current production line position of the target vehicle, T is the beat time, T 2 The line break duration is preset.
8. A terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps of the method for predicting the time-to-live during a vehicle spot check according to any one of claims 1 to 7.
9. A readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for predicting a passing time during a vehicle spot check according to any one of claims 1 to 7.
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