CN111752243B - Production line reliability testing method and device, computer equipment and storage medium - Google Patents
Production line reliability testing method and device, computer equipment and storage medium Download PDFInfo
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- CN111752243B CN111752243B CN202010533026.8A CN202010533026A CN111752243B CN 111752243 B CN111752243 B CN 111752243B CN 202010533026 A CN202010533026 A CN 202010533026A CN 111752243 B CN111752243 B CN 111752243B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The embodiment of the application provides a production line reliability test method, a production line reliability test device, computer equipment and a storage medium, and relates to the technical field of Internet, wherein the production line reliability test method comprises the steps of obtaining a digital twin model of a target production line; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state. The method for testing the reliability of the production line can shorten the testing time of the reliability of the production line.
Description
Technical Field
The embodiment of the application relates to the technical field of internet, in particular to a method and a device for testing the reliability of a production line, computer equipment and a storage medium.
Background
In recent years, more and more enterprises adopt a robot exchange mode to reduce enterprise cost, and based on the method, an automatic production line (hereinafter referred to as a production line) is greatly popularized. Meanwhile, the requirement of enterprises on the reliability of production lines is higher and higher. In order to ensure the reliability of the production line, the production line needs to be tested for reliability.
The conventional production line reliability test is generally performed on an actual production line, and specifically, the production line is controlled to operate, actual operation conditions of various production devices on the production line are monitored, and the production line reliability is determined based on the actual operation conditions of the production line.
However, the above method is based on actual production line testing, and takes months or even years to complete, so the reliability testing time is long, and the current production line reliability testing requirements cannot be met.
Disclosure of Invention
The embodiment of the application provides a method and a device for testing the reliability of a production line, computer equipment and a storage medium, which can be used for shortening the test time of the reliability of the production line.
The embodiment of the application provides a method for testing the reliability of a production line, which comprises the following steps:
acquiring a digital twin model of a target production line;
running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime;
and determining the reliability test result of the target production line according to the running state.
In one embodiment of the present application, running a digital twin model in a clock-accelerated manner includes:
acquiring a clock acceleration multiple, wherein the clock acceleration multiple is used for expressing the multiple of the working process of the digital twin model in unit time compared with the actual working process of a target production line;
determining a clock advance increment of the digital twin model according to the clock acceleration multiple;
and controlling the digital twin model to execute a working process corresponding to the current time every time a clock propulsion increment is advanced based on the starting time of running the digital twin model.
In one embodiment of the present application, controlling the digital twin model to execute a work process corresponding to the current time includes:
acquiring a production schedule corresponding to the digital twin model, wherein the production schedule is determined according to the actual production flow and the clock advance increment of the target production line, the production schedule comprises event information of a plurality of production events in the target production line, and the event information comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and production equipment corresponding to the production events;
inquiring whether a target production event occurs at the current time from a production schedule, wherein the arrival time of the target production event is the same as the current time;
and if the target production event occurs at the current time, controlling the digital twin model to execute the target production event.
In one embodiment of the present application, running a digital twin model in a clock-accelerated manner includes:
acquiring an operation instruction in the running process of the digital twin model;
generating a test script corresponding to the digital twin model according to the operation instruction;
and running the digital twin model by using the test script in a clock acceleration mode.
In an embodiment of the present application, before determining the reliability test result of the target production line according to the operation state, the method further includes:
and detecting the running time of the digital twin model, and when the running time of the digital twin model is greater than or equal to the preset test time, acquiring the running state of the digital twin model within the running time.
In one embodiment of the present application, determining a reliability test result of a target production line according to an operation state includes:
extracting the downtime point of the target production line in the test process from the running state;
determining the average fault interval duration and the average repair duration of the target production line according to the downtime time point;
and determining the reliability test result of the target production line according to the average fault interval duration and the average repair duration.
In one embodiment of the present application, obtaining a digital twin model of a target production line includes:
obtaining modeling information of a plurality of production devices on a target production line;
acquiring communication setting information of each production device, wherein the communication setting information comprises communication setting information between the production devices and a control program of a target production line;
and determining the digital twin model of the target production line according to the modeling information of each production device and the communication setting information of each production device.
The embodiment of the application provides a production line reliability testing arrangement, the device includes:
the acquisition module is used for acquiring a digital twin model of a target production line;
the testing module is used for running the digital twin model in a clock acceleration mode, monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime;
and the determining module is used for determining the reliability test result of the target production line according to the running state.
The embodiment of the application provides a computer device, 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 following steps:
acquiring a digital twin model of a target production line;
running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime;
and determining the reliability test result of the target production line according to the running state.
An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the following steps:
acquiring a digital twin model of a target production line;
running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime;
and determining the reliability test result of the target production line according to the running state.
The method, the device, the computer equipment and the storage medium for testing the reliability of the production line can shorten the testing time of the reliability of the production line. The production line reliability test method comprises the steps of obtaining a digital twin model of a target production line; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state. The digital twin model of the target production line is similar to an actual production line, the digital twin model of the target production line is equivalent to the actual production line, and further, the digital twin model of the target production line is operated in a clock acceleration mode, so that the working process of the digital twin model is faster than the actual working process of the target production line in unit time.
Drawings
FIG. 1 is a diagram illustrating an internal structure of a computer device according to an embodiment;
FIG. 2 is a schematic flow chart of a method for testing reliability of a production line according to an embodiment;
FIG. 3 is a schematic flow diagram of a method of operating a digital twin model in one embodiment;
FIG. 4 is a schematic flow chart diagram of a method of operating a digital twin model in another embodiment;
FIG. 5 is a schematic flow chart diagram of a method for determining reliability of a production line in one embodiment;
FIG. 6 is a block diagram of a device for testing reliability of a manufacturing line according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clearly understood, the embodiments of the present application are described in further detail below with reference to the accompanying drawings and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the embodiments of the application and are not intended to limit the embodiments of the application.
In general, a reliability evaluation method for an automatic production line needs to be performed based on actual production equipment in the production line, specifically, the production line can be controlled to operate through industrial software, and the industrial software needs to operate for a large amount of time to determine the downtime duration of the production line in the operation process, so as to determine the reliability of the production line. However, the above method needs several months or even several years to complete, and the method is time-consuming and labor-consuming and cannot meet the current reliability test requirements of the production line.
In another conventional technique, the reliability test may select an acceleration factor, such as temperature, humidity or pressure, to accelerate the reliability test by heating, humidifying or pressurizing the production equipment or auxiliary equipment on the production line. Different acceleration factors have different effects on the acceleration effect, and therefore, the test result has certain deviation from the actual situation.
In addition, in the above conventional technologies, reliability tests are performed based on a production line that has already been built, and after a reliability problem of the production line is found, the production line needs to be modified and then the reliability tests are performed again, and the production line may need to be modified many times, which results in a high construction cost of the production line.
Therefore, the traditional production line reliability testing method has the problems of long time consumption, deviation of testing results, high production line construction cost and the like.
In view of the above, the method for testing the reliability of the production line comprises the steps of obtaining a digital twin model of a target production line; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state. The digital twin model of the target production line is similar to an actual production line, the digital twin model of the target production line is equivalent to the actual production line, and further, the digital twin model of the target production line is operated in a clock acceleration mode, so that the working process of the digital twin model is faster than the actual working process of the target production line in unit time.
In addition, in the embodiment of the application, the production line model constructed by the digital twin model is similar to an actual production line, the running production line model is equivalent to the running actual production line, and the running production line model is accelerated only in time by adopting a clock acceleration mode without influencing the running result, so that the accuracy of the test result of the reliability of the production line is improved.
Furthermore, the embodiment of the application adopts the production line model constructed by the digital twin model to carry out reliability test, so that the defects in the production line can be found and improved in the test stage, and the reliability test is not required to be carried out in the actual production stage after the actual production line is well constructed. Therefore, the construction cost of the production line can be reduced.
The following describes technical solutions related to the embodiments of the present application with reference to a scenario in which the embodiments of the present application are applied.
Referring to fig. 1, the implementation environment may include a computer device, and the internal structure of the computer device may be as shown in fig. 1. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the digital twin model of the target production line. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for production line reliability testing.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as a particular computing device may include more or less components than those shown in fig. 1, or may combine certain components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, a method for testing the reliability of a production line is provided, which is illustrated by applying the method to the computer device in fig. 1, and comprises the following steps:
The digital twin model is obtained by integrating multiple disciplines, multiple physical quantities and multiple scales to map the entity equipment to a virtual space. The digital twin model has exactly the same size, shape and structure as the physical device and is able to accomplish the same actions and tasks as the physical device.
The target production line is an automatic production line which needs to be subjected to reliability testing. The target production line may be an automatic production line planned to be constructed, or may be an already-constructed automatic production line.
In an embodiment of the present application, the process of acquiring the digital twin model of the target production line by the computer device may include the following steps:
step a1, the computer device obtains modeling information for a plurality of production devices on a target production line.
The modeling information of the production equipment may include structural information and operation information of the production equipment, wherein the structural information includes external structural information and internal structural information, and the external structural information may include length, width, height, position, weight, and the like of the production equipment. The internal structure information may include the structure of each component on the production equipment, the assembly relationship between each component, and the size, mass, and linkage relationship of each component.
The operation information comprises instruction generation information, instruction processing information, instruction output information, instruction execution information and the like presented in the actual operation process of the production equipment, and the production equipment can be controlled to complete corresponding working programs through the operation information.
In step a2, the computer device acquires communication setting information of each production device.
Wherein the communication setting information includes communication setting information between the production apparatuses and a control program of the target production line. The control program of the target production line is an application program for intelligently controlling each production device in the target production line.
In the embodiment of the application, the reliability of the target production line includes the reliability of each production device on the target production line and the reliability of the control program for controlling each production device, wherein the reliability of the control program is represented by the operating condition of the target production line.
The communication setting information between the production apparatuses may include an application interface of each production apparatus, a communication address, a communication protocol for communication between the production apparatuses, and communication data. The communication setting information between the production devices can be acquired through a user manual or an instruction document of each production device.
The communication setting information between each production apparatus and the control program of the target production line may include: an application program interface, a communication address, a communication protocol for communication between the production devices, and communication data when communication is performed between the production devices and the control program. Wherein the communication setting information between each production apparatus and the control program of the target production line may be acquired from a development document of the control program.
Step A3, the computer device determines a digital twin model of the target production line based on the modeling information of each production device and the communication setting information of each production device.
Optionally, the computer device may construct a three-dimensional model of each production device through simulation software according to the structural information of each production device. The three-dimensional model should satisfy the condition that the size, the position, the shape and the like of the three-dimensional model are in equal proportion to the actual production equipment. Then, determining a digital twin model of each production device according to the three-dimensional model of each production device and the operation information of each production device;
then, the computer device can connect the digital twin models of the production devices according to the communication setting information of the production devices to form the digital twin model corresponding to the target production line.
The digital twin model corresponding to the target production line comprises a control program of the digital twin model (the same as the control program of the target production line), the digital twin model of each production device, the connection relation between the digital twin models of each production device and the connection relation between each production device and the control program.
Optionally, in this embodiment of the application, the computer device may further obtain a plurality of production events in the target production line and event information of each production event, where the plurality of production events may be, for example, different events such as ordering, stock preparation, warehouse-out, and processing in the production process. Production events may also be, for example: equipment aging fault events, equipment damage events, power outage events, network outage events, and other events of human or non-human origin.
The event information of each production event comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and the production equipment corresponding to the production events. The sequence of the production events refers to the sequence of the production events in the plurality of production events, the arrival time of the production events refers to the time when the production events occur, the occurrence condition of the production events may refer to the time condition or the logic control condition, and the production equipment corresponding to the production events may refer to the production equipment where the production events occur.
For example, when the production apparatus a runs for 1000 hours, the apparatus may be stopped due to wear, that is, an apparatus damage event may occur, the apparatus damage event may occur when the operation is performed for 1000 hours, and the arrival time may be a time point corresponding to the apparatus when the operation is performed for 1000 hours, and the production apparatus corresponding to the apparatus damage event may be the production apparatus a.
The computer device may determine a correspondence between each production device and each production event based on event information of a plurality of production events in an actual production flow of the target production line, for example, a certain production device executes a certain production event or several production events at a certain point in time.
The computer device can construct a production schedule according to the mapping relation between each production event and the production device, and the digital twin model of the target production line can control each production device to execute the corresponding production event according to the production schedule. It should be noted that the production schedule belongs to a configuration file of the digital twin model of the target production line.
Wherein the running state comprises normal and down.
For the sake of distinction, in the embodiments of the present application, the digital twin model of each production apparatus may be referred to as a digital twin unit.
In this embodiment of the present application, the process of running the digital twin model by the computer device may refer to: the computer device can control the operation of each digital twin unit through a control program of the digital twin model.
Alternatively, the control program of the digital twin model may be a control script constructed according to the operation information of each production device on the target production line, and the control program of the digital twin model may directly control each production device to perform a corresponding operation action.
Alternatively, the control program of the digital twin model may be a control script for controlling the start-up or shut-down of each production apparatus on the target production line. The control program of the digital twin model is only used for triggering the digital twin model of each production device to start or stop, and the digital twin model of each production device executes corresponding operation actions based on the control program of the digital twin model.
In the embodiment of the application, the operation of the digital twin model by the computer device in a clock acceleration mode refers to acceleration of a simulation clock of the digital twin model, so that the working process of the digital twin model is faster than the actual working process of the target production line in unit time, and the reliability test duration of the target production line can be shortened.
In the embodiment of the application, the monitoring and recording of the running state of the digital twin model by the computer device means that the current running state of the digital twin model is recorded in real time or periodically in the running process of the digital twin model, and the current running state of the digital twin model may be a downtime state or a normal state.
And step 203, the computer equipment determines the reliability test result of the target production line according to the running state.
The running state of the digital twin model may reflect the reliability of the target production line, for example, the running state of the digital twin model is frequently down, which indicates that the target production line is frequently down, and therefore, the reliability of the target production line is low. The running state of the digital twin model is rarely a downtime state, which shows that the target production line can run continuously and reliably, so that the reliability of the target production line is high.
The computer equipment can acquire the times and the downtime duration of the digital twin model in the downtime state in the test process according to the running state, and determine the reliability test result of the target production line according to the times and the downtime duration of the downtime state. The reliability test result of the target production line can comprise reliable and unreliable.
According to the production line reliability testing method provided by the embodiment of the application, a digital twin model of a target production line is obtained; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state. The digital twin model of the target production line is similar to an actual production line, the digital twin model of the target production line is equivalent to the actual production line, and further, the digital twin model of the target production line is operated in a clock acceleration mode, so that the working process of the digital twin model is faster than the actual working process of the target production line in unit time.
In one embodiment of the present application, as shown in fig. 3, step 202 may further include the following:
The clock acceleration factor is used for expressing the multiple of the working process of the digital twin model compared with the actual working process of the target production line in unit time.
In the embodiment of the present application, for example, the clock acceleration multiple speed may be determined manually. Alternatively, the clock acceleration speed may be 100 times, which means that the working process of the digital twin model is 100 times of the actual working process of the target production line in 1 second.
In the embodiment of the application, the simulation clock of the digital twin model is determined based on the real-world clock, and taking the above example into account, the clock acceleration multiple is 100 times, which means that the working process of the digital twin model within 10 milliseconds is the same as the working process of the digital twin model within 1 second in the actual production flow of the target production line. The actual production flow of the target production line is operated in 1 second as a unit time, and based on this, the digital twin model is operated in 10 milliseconds as a unit time. Wherein the 10 milliseconds is the clock advance increment.
The clock advance increment represents the time length corresponding to each advance unit time when the digital twin model runs.
And step 303, based on the starting time of the digital twin model, controlling the digital twin model to execute a working process corresponding to the current time by the computer equipment every time a clock advancing increment is advanced.
The simulation clock advancing mode of the digital twin model is a real-time clock advancing mode, wherein the real-time clock advancing mode refers to advancing according to real time and clock advancing increment.
In the embodiment of the application, the process that the computer device controls the digital twin model to execute the work process corresponding to the current time comprises the following steps:
and step B1, the computer device acquires a production schedule corresponding to the digital twin model.
Wherein the production schedule is determined according to the actual production flow and the clock advance increment of the target production line. The production schedule comprises event information of a plurality of production events in the target production line, wherein the event information comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and production equipment corresponding to the production events.
The process of constructing the production schedule can refer to the disclosure of step 201.
It should be noted that the production schedule is a schedule in real-time change, and the production schedule may determine occurrence of each production event in combination with events in the actual production line, for example, an a production event occurs at a first time, and a B production event occurs at a second time after 10 minutes according to a normal flow, however, due to aging of production equipment, a C production fault occurs at a time point 3 minutes after the first time, and a repair duration of the C production fault is uncontrollable, and therefore, the occurrence time of the B production event cannot be determined.
For example, the repair time period of the C production fault is 20 minutes, the a production event is re-executed at the 23 th minute after the first time, and then the B production time is re-executed after 10 minutes according to the preset control flow.
In the production schedule, the occurrence time of each production event is in a real-time changing state, and is influenced by the production events before and after the occurrence time. Thus, the production schedule is always updated in real time based on the current events.
In step B2, the computer device queries from the production schedule whether a target production event occurred at the current time.
And step B3, if the target production event occurs at the current time, the computer device controls the digital twin model to execute the target production event.
In this embodiment, at each current time, the computer device may query the production schedule for whether a target production event occurs, where the arrival time of the target production event is the same as the current time.
If the production event occurs at the current time, the production event is a target production event, if the production event does not occur at the current time, the target production event does not occur at the current time, the simulation clock of the digital twin model continuously clocks, and when the next clock advances to increase, the action of inquiring the production schedule is executed again.
If a target production event occurs at the current time, the computer device controls the digital twin model to execute the target production event, specifically, the computer model controls a digital twin unit of a specific production device in the digital twin model to execute the target production event. Then by the next clock advance increment, the action of querying the production schedule is performed again.
In the embodiment of the application, the digital twin model is operated in a clock acceleration mode, so that the working process of the digital twin model is faster than that of an actual production line within the same time, and the time for testing the reliability of the production line can be shortened by testing the reliability of the production line through the digital twin model.
In one embodiment of the present application, as shown in fig. 4, step 202 may further include the following:
In the embodiment of the application, the operation instruction required to be used in the whole process of production control of the control program every time can be determined according to the user manual, and the operation instruction comprises the control instruction of the control program to the control process of each production device.
And 402, generating a test script corresponding to the digital twin model by the computer equipment according to the operation instruction.
In this embodiment, the computer device may record the test script according to the operation instruction disclosed in the above step by using other test tools such as loadrunner (load operation) or Jemeter (software stress test tool).
In step 403, the computer device runs the digital twin model using the test script in a clock acceleration mode.
After the above steps are completed, the computer device may obtain an actual time length and a clock acceleration speed which are required for performing a reliability test using an actual production line, and then set a test time length corresponding to the digital twin model according to the actual time length and the clock acceleration speed.
Alternatively, the actual time period is usually one year, and then the test time period (unit: hour) can be calculated as follows:
bearing the above example, the clock acceleration rate is 100, and then the test duration is 87.6 hours.
Finally, the computer device may control the digital twin model to run each digital twin unit and to cycle the test script until the end of the test duration.
In the embodiment of the application, the running process of the digital twin model can be prevented from being manually intervened by recording the automatic test script, and the simulation precision of the digital twin model is improved.
In one embodiment of the present application, as shown in fig. 5, step 203 may further include the following:
Optionally, in this embodiment of the application, before the downtime point of the target production line in the test process is extracted from the running state by the computer device, the computer device may detect the running duration of the digital twin model in real time, and when it is detected that the running duration of the digital twin model is equal to or greater than a preset duration, obtain the running state of the digital twin model within the running duration.
It should be noted that, in the embodiment of the present application, the operation duration of the digital twin model does not include the duration that the digital twin model is delayed due to downtime-repair.
In the embodiment of the application, the running states of the digital twin models comprise normal running states and downtime running states, the computer equipment can periodically monitor and record the running states of the digital twin models, and then the downtime time points of the digital twin models in the testing period are extracted from the running states, wherein the downtime time points comprise downtime starting time points and downtime finishing time points of each downtime of the digital twin models.
The computer equipment can calculate the duration of downtime each time according to the downtime starting time point and the downtime ending time point of each time, wherein the duration of downtime can be understood as the downtime accident repair duration, and the computer equipment can average a plurality of downtime durations to obtain the average repair duration.
In addition, the computer equipment can calculate the interval duration between two adjacent downtime according to the downtime starting time point of each downtime, and average a plurality of interval durations to obtain the average fault interval duration.
The average fault interval duration can be used for representing the frequency of the faults of the digital twin model in the test duration, the average repair duration can be used for representing the influence degree of each fault on the running process of the digital twin model, the longer the average repair duration is, the larger the influence is, and the smaller the influence is otherwise.
The computer device can calculate the reliability of the target production line according to the average fault interval duration and the average repair duration, and the formula is as follows:
for example, if the mean time between failures is 9 hours and the mean time between repairs is 1 hour, then the reliability is 9/10.
Optionally, in the embodiment of the present application, in the actual operation process of the target production line, within one year, the downtime duration of the target production line may be obtained through the following formula:
the downtime period is 365 × 24h × (1-reliability rating) 36.5 days.
As shown in table 1, table 1 shows a corresponding relationship between the downtime duration and the reliability level in one year.
TABLE 1
| Reliability level | System downtime duration in one year |
| 90％ | 36.5 days |
| 99％ | 3.65 days |
| 99.90％ | 8.76 hours |
| 99.99％ | 52.6 minutes |
| 99.999％ | 5.26 minutes |
| 99.9999％ | 31 second |
| 99.99999％ | 3.15 seconds |
In the embodiment of the application, the average fault interval time and the average repair time are determined according to the running state of the digital twin model in the test time, so that the reliability test result of the target production line is determined, and the accuracy of the reliability test result is improved.
Referring to fig. 6, a block diagram of a production line reliability testing apparatus provided in an embodiment of the present application is shown, where the production line reliability testing apparatus may be configured in a computer device in the implementation environment shown in fig. 1. As shown in fig. 6, the production line reliability testing apparatus may include an obtaining module 601, a testing module 602, and a determining module 603, wherein:
an obtaining module 601, configured to obtain a digital twin model of a target production line;
the testing module 602 is configured to run the digital twin model in a clock acceleration manner, and monitor and record a running state of the digital twin model, where the running state includes a normal running state and a downtime running state;
and a determining module 603, configured to determine a reliability test result of the target production line according to the operation state.
In an embodiment of the present application, the testing module 602 is specifically configured to obtain a clock acceleration multiple, where the clock acceleration multiple is used to represent a multiple of a working process of the digital twin model in a unit time compared to an actual working process of the target production line; determining a clock advance increment of the digital twin model according to the clock acceleration multiple; and controlling the digital twin model to execute a working process corresponding to the current time every time a clock propulsion increment is advanced based on the starting time of running the digital twin model.
In an embodiment of the present application, the testing module 602 is specifically configured to obtain a production schedule corresponding to the digital twin model, where the production schedule is determined according to an actual production flow of the target production line and a clock advance increment, the production schedule includes event information of a plurality of production events in the target production line, and the event information includes an order of the production events, arrival times of the production events, occurrence conditions of the production events, and production devices corresponding to the production events; inquiring whether a target production event occurs at the current time from a production schedule, wherein the arrival time of the target production event is the same as the current time; and if the target production event occurs at the current time, controlling the digital twin model to execute the target production event.
In an embodiment of the present application, the testing module 602 is specifically configured to obtain an operation instruction during the operation of the digital twin model; generating a test script corresponding to the digital twin model according to the operation instruction; and running the digital twin model by using the test script in a clock acceleration mode.
In an embodiment of the present application, the determining module 603 is specifically configured to detect an operation duration of the digital twin model, and acquire an operation state of the digital twin model within the operation duration when the operation duration of the digital twin model is greater than or equal to a preset test duration.
In an embodiment of the present application, the determining module 603 is specifically configured to extract a downtime point of the target production line in the testing process from the operating status; determining the average fault interval duration and the average repair duration of the target production line according to the downtime time point; and determining the reliability test result of the target production line according to the average fault interval duration and the average repair duration.
In an embodiment of the present application, the obtaining module 601 is specifically configured to obtain modeling information of a plurality of production devices on a target production line; acquiring communication setting information of each production device, wherein the communication setting information comprises communication setting information between the production devices and a control program of a target production line; and determining the digital twin model of the target production line according to the modeling information of each production device and the communication setting information of each production device.
For the specific definition of the production line reliability testing device, reference may be made to the above definition of the production line reliability testing method, which is not described herein again. The modules in the production line reliability testing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment of the present application, there is provided a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a digital twin model of a target production line; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: acquiring a clock acceleration multiple, wherein the clock acceleration multiple is used for expressing the multiple of the working process of the digital twin model in unit time compared with the actual working process of a target production line; determining a clock advance increment of the digital twin model according to the clock acceleration multiple; and controlling the digital twin model to execute a working process corresponding to the current time every time a clock propulsion increment is advanced based on the starting time of running the digital twin model.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: acquiring a production schedule corresponding to the digital twin model, wherein the production schedule is determined according to the actual production flow and the clock advance increment of the target production line, the production schedule comprises event information of a plurality of production events in the target production line, and the event information comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and production equipment corresponding to the production events; inquiring whether a target production event occurs at the current time from a production schedule, wherein the arrival time of the target production event is the same as the current time; and if the target production event occurs at the current time, controlling the digital twin model to execute the target production event.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: acquiring an operation instruction in the running process of the digital twin model; generating a test script corresponding to the digital twin model according to the operation instruction; and running the digital twin model by using the test script in a clock acceleration mode.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: and detecting the running time of the digital twin model, and when the running time of the digital twin model is greater than or equal to the preset test time, acquiring the running state of the digital twin model within the running time.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: extracting the downtime point of the target production line in the test process from the running state; determining the average fault interval duration and the average repair duration of the target production line according to the downtime time point; and determining the reliability test result of the target production line according to the average fault interval duration and the average repair duration.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: obtaining modeling information of a plurality of production devices on a target production line; acquiring communication setting information of each production device, wherein the communication setting information comprises communication setting information between the production devices and a control program of a target production line; and determining the digital twin model of the target production line according to the modeling information of each production device and the communication setting information of each production device.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In an embodiment of the application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
acquiring a digital twin model of a target production line; running the digital twin model in a clock acceleration mode, and monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime; and determining the reliability test result of the target production line according to the running state.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: acquiring a clock acceleration multiple, wherein the clock acceleration multiple is used for expressing the multiple of the working process of the digital twin model in unit time compared with the actual working process of a target production line; determining a clock advance increment of the digital twin model according to the clock acceleration multiple; and controlling the digital twin model to execute a working process corresponding to the current time every time a clock propulsion increment is advanced based on the starting time of running the digital twin model.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: acquiring a production schedule corresponding to the digital twin model, wherein the production schedule is determined according to the actual production flow and the clock advance increment of the target production line, the production schedule comprises event information of a plurality of production events in the target production line, and the event information comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and production equipment corresponding to the production events; inquiring whether a target production event occurs at the current time from a production schedule, wherein the arrival time of the target production event is the same as the current time; and if the target production event occurs at the current time, controlling the digital twin model to execute the target production event.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: acquiring an operation instruction in the running process of the digital twin model; generating a test script corresponding to the digital twin model according to the operation instruction; and running the digital twin model by using the test script in a clock acceleration mode.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: and detecting the running time of the digital twin model, and when the running time of the digital twin model is greater than or equal to the preset test time, acquiring the running state of the digital twin model within the running time.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: extracting the downtime point of the target production line in the test process from the running state; determining the average fault interval duration and the average repair duration of the target production line according to the downtime time point; and determining the reliability test result of the target production line according to the average fault interval duration and the average repair duration.
In one embodiment of the application, the computer program, when executed by the processor, may further implement the steps of: obtaining modeling information of a plurality of production devices on a target production line; acquiring communication setting information of each production device, wherein the communication setting information comprises communication setting information between the production devices and a control program of a target production line; and determining the digital twin model of the target production line according to the modeling information of each production device and the communication setting information of each production device.
The implementation principle and technical effect of the computer-readable storage medium provided in the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express a few embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, variations and modifications can be made without departing from the concept of the embodiments of the present application, and these embodiments are within the scope of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the appended claims.
Claims (10)
1. A method for testing reliability of a production line, the method comprising:
acquiring a digital twin model of a target production line;
running the digital twin model in a clock acceleration mode, monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime, and the clock acceleration represents that the working process of the digital twin model is accelerated in unit time according to the actual working process of the target production line;
determining a reliability test result of the target production line according to the running state;
wherein the running the digital twin model in a clock acceleration manner comprises:
acquiring a clock acceleration multiple, wherein the clock acceleration multiple is used for expressing the multiple of the working process of the digital twin model in unit time compared with the actual working process of the target production line;
determining a clock advancing increment of the digital twin model according to the clock acceleration multiple, wherein the clock advancing increment represents the corresponding time length of each advancing unit time when the digital twin model runs;
and controlling the digital twin model to execute a working process corresponding to the current time every time one clock advancing increment is advanced based on the starting time of running the digital twin model.
2. The method of claim 1, wherein the controlling the digital twin model to execute a work process corresponding to a current time comprises:
acquiring a production schedule corresponding to the digital twin model, wherein the production schedule is determined according to the actual production flow of the target production line and the clock advance increment, the production schedule comprises event information of a plurality of production events in the target production line, and the event information comprises the sequence of the production events, the arrival time of the production events, the occurrence conditions of the production events and production equipment corresponding to the production events;
inquiring whether a target production event occurs at the current time from the production schedule, wherein the arrival time of the target production event is the same as the current time;
and if a target production event occurs at the current time, controlling the digital twin model to execute the target production event.
3. The method of claim 1, wherein running the digital twin model with clock acceleration comprises:
acquiring an operation instruction in the running process of the digital twin model;
generating a test script corresponding to the digital twin model according to the operation instruction;
and running the digital twin model by using the test script in a clock acceleration mode.
4. The method of claim 1, wherein prior to determining the reliability test result of the target production line based on the operational status, the method further comprises:
and detecting the running time of the digital twin model, and acquiring the running state of the digital twin model in the running time when the running time of the digital twin model is greater than or equal to the preset test time.
5. The method of claim 1 or 4, wherein determining the reliability test result of the target production line according to the operating state comprises:
extracting the downtime point of the target production line in the test process from the running state;
determining the average fault interval duration and the average repair duration of the target production line according to the downtime time point;
and determining the reliability test result of the target production line according to the average fault interval duration and the average repair duration.
6. The method of claim 1, wherein said obtaining a digital twin model of a target production line comprises:
obtaining modeling information of a plurality of production devices on the target production line;
acquiring communication setting information of each production device, wherein the communication setting information comprises communication setting information between the production devices and a control program of the target production line;
and determining the digital twin model of the target production line according to the modeling information of each production device and the communication setting information of each production device.
7. A production line reliability testing apparatus, the apparatus comprising:
the acquisition module is used for acquiring a digital twin model of a target production line;
the testing module is used for running the digital twin model in a clock acceleration mode, monitoring and recording the running state of the digital twin model, wherein the running state comprises normal state and downtime, and the clock acceleration represents that the working process of the digital twin model is accelerated in unit time according to the actual working process of a target production line;
the determining module is used for determining the reliability test result of the target production line according to the running state;
the testing module is specifically used for acquiring a clock acceleration multiple, wherein the clock acceleration multiple is used for representing a multiple of a working process of the digital twin model in unit time compared with an actual working process of the target production line; determining a clock advancing increment of the digital twin model according to the clock acceleration multiple, wherein the clock advancing increment represents the corresponding time length of each advancing unit time when the digital twin model runs; and controlling the digital twin model to execute a working process corresponding to the current time every time one clock advancing increment is advanced based on the starting time of running the digital twin model.
8. The device of claim 7, wherein the testing module is specifically configured to obtain an operation instruction during the operation of the digital twin model; generating a test script corresponding to the digital twin model according to the operation instruction; and running the digital twin model by using the test script in the clock acceleration mode.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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