CN116307639A - Self-adaptive test item distribution method in flexible test production line - Google Patents

Self-adaptive test item distribution method in flexible test production line Download PDF

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CN116307639A
CN116307639A CN202310561239.5A CN202310561239A CN116307639A CN 116307639 A CN116307639 A CN 116307639A CN 202310561239 A CN202310561239 A CN 202310561239A CN 116307639 A CN116307639 A CN 116307639A
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阎德劲
饶振东
谢春茂
朱彦朋
陈博文
张郭勇
张涛
吴元杰
陈维波
陈波
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Abstract

The invention discloses a self-adaptive test item distribution method in a flexible test production line, which comprises the following steps of: establishing a product information base; the product information base comprises a product test item set, a test item instrument requirement set and test item test time sets; establishing a workstation state library; the workstation status library includes workstation instrument status; performing distribution operation according to the input production task; the production tasks include product types and quantities. The invention can save production time, improve the utilization rate of the instrument and reduce the discharge capacity requirement.

Description

Self-adaptive test item distribution method in flexible test production line
Technical Field
The invention relates to the technical field of flexible test production lines, in particular to a self-adaptive test item distribution method in a flexible test production line.
Background
In the flexible test production line, the test and operation of the tested products are completed by a conveyor belt, an automatic clamping and automatic test program, the time of each process step is basically fixed, and how to distribute the test paths of the products in production can lead the final test time to be optimal and the instrument utilization rate to be the highest. Because the number and the type of the products to be tested are variable, and the instruments and equipment are used as valuable resources, the curing is difficult. If the test paths of each product are fixed, the optimal resource utilization efficiency cannot be obtained, and the distribution of each test path is less likely to be performed manually.
Disclosure of Invention
In view of the above, the invention provides a self-adaptive test item distribution method in a flexible test production line, which can automatically realize the optimal distribution of the test route of the tested product.
The invention discloses a self-adaptive test item distribution method in a flexible test production line, which comprises the following steps of:
establishing a product information base; the product information base comprises a product test item set, a test item instrument demand set and test item test time sets;
establishing a workstation state library; the workstation status library comprises workstation instrument status;
performing distribution operation according to the input production task; the production tasks include product types and quantities.
Further, the test items of each product include the test instruments and test times they require;
the workstation instrument status includes valid and invalid.
Further, the performing a distribution operation according to the input production task includes:
if the input production task needs to produce n1 products A1, n2 products A2, ni products Ai, nn products An, the output test task is:
Figure SMS_1
wherein Ai1, ai2, …, ain are n test items of the product Ai;
the total test time required is:
Figure SMS_2
wherein ,
Figure SMS_3
to->
Figure SMS_4
Test time required for n test items of the product Ai; i has a value ranging from 1 to n.
Further, all workstations configured according to the production task are in a parallel working state; if optimal use efficiency is to be achieved, the test time required by the test item needs to be evenly distributed to all the configured workstations.
Further, when a test item of a product to be tested is distributed to a plurality of work stations, an excessive transportation time is generated
Figure SMS_5
The method comprises the steps of carrying out a first treatment on the surface of the The method for distributing a plurality of workstations comprises the following steps:
acquiring a workstation and corresponding test items thereof from a workstation state library, and acquiring products and required test items thereof from a product information library so as to establish a corresponding relation between the workstation and the test items, namely all the test items which can be tested by each workstation;
according to the input production task, acquiring a set of test items of a product to be tested from a product information base, numbering the test items of the task, wherein the serial numbers ID of the test items and the serial numbers of the product to be tested are in one-to-one correspondence so as to obtain a test task base;
extracting test items which can be completed in a single workstation from a test task library, distributing the test items which can be completed in the single workstation to corresponding workstations, initializing a workstation test item distribution information library, and forming a residual task time library by the residual test items which can be completed in a plurality of workstations;
sequencing the workstation test item allocation information base, and selecting a workstation with the minimum working time as a target workstation;
selecting a test item from the residual task time base, wherein the selection rule is that one with the maximum required time is selected from the test item numbers ID existing in the target workstation;
distributing the selected test items to a target workstation, updating the working time of the target workstation, and synchronously deleting the test items already distributed in the residual task time base, namely updating the residual task time base;
and sequencing the workstation test item allocation information base, selecting a workstation with the minimum working time, namely a target workstation, and performing loop iteration.
Further, selecting a test item from the remaining task time base, wherein the selection rule is to select one with the largest required time from the test item numbers ID existing in the target workstation, and the method comprises the following steps:
if all the test item numbers ID in the residual task time base do not exist in the target workstation, sequencing the test time required by the test items of all the residual task time base according to descending order;
inquiring whether the test item number ID corresponding to the first bit of the ordering exists in any workstation m, if so, and comparing T+t+when the test item time is T
Figure SMS_6
And tm+t; wherein T is the working time corresponding to the target working station, and Tm is the working time corresponding to the working station m;
if the test item number ID corresponding to the first bit is not present in any one of the workstations after traversing all the workstations, the test item number ID is directly distributed to the target workstation, and the working time corresponding to the target workstation is updated.
Further, the comparison T+t+
Figure SMS_7
And tm+t, including:
if T+t+
Figure SMS_8
The test items are distributed to the target working stations and the working time corresponding to the target working stations is updated;
if Tm+t is less than or equal to T+t +
Figure SMS_9
Distributing the test items to the work station m, and updating the working time corresponding to the work station m; wherein T is the working time corresponding to the target workstation.
Further, after the distribution of the plurality of workstations is completed, the maximum work time max (T1,..tm,..tn) of the single workstation is minimum, that is, the total time of the production task is the lowest; wherein, T1 is the working time corresponding to the working station 1, tm is the working time corresponding to the working station m, and Tn is the working time corresponding to the working station n.
Further, when the remaining task time base is empty, the corresponding workstation test item allocation information base is the final allocation condition of the production task, and the flexible test production line control system reads data information from the information base to perform task production.
Due to the adoption of the technical scheme, the invention has the following advantages: by establishing a product information base and a workstation state base, adding transportation time constraint conditions, performing instant automatic allocation operation, and under any input task conditions, automatically outputting the lowest production time test item allocation method of the current task in the current state, the flexible test production line requirement is met, the production time is saved, the instrument utilization rate is improved, the discharge capacity requirement is reduced, and certain economic benefits are realized.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the embodiments of the present invention, and other drawings may be obtained according to these drawings for those skilled in the art.
FIG. 1 is a block diagram of test item assignment logic according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an exemplary test item assignment code for a minimal workstation according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and examples, wherein it is apparent that the examples described are only some, but not all, of the examples of the present invention. All other embodiments obtained by those skilled in the art are intended to fall within the scope of the embodiments of the present invention.
The invention provides an embodiment of a self-adaptive test item distribution method in a flexible test production line, which comprises the following steps:
establishing a product information base; the product information base comprises a product test item set, a test item instrument requirement set and test item test time sets;
establishing a workstation state library; the workstation status library includes workstation instrument status;
performing distribution operation according to the input production task; the production tasks include product types and quantities.
In this embodiment, the test item of each product includes the test instrument and test time required by the test item;
the workstation instrument status includes active and inactive.
In this embodiment, the allocation operation is performed according to the input production task, including:
if the input production task needs to produce n1 products A1, n2 products A2, ni products Ai, nn products An, the output test task is:
Figure SMS_10
wherein Ai1, ai2, …, ain are n test items of the product Ai;
the total test time required is:
Figure SMS_11
wherein ,
Figure SMS_12
to->
Figure SMS_13
Test time required for n test items of the product Ai; i has a value ranging from 1 to n.
In this embodiment, all workstations configured according to a production task are in a parallel working state; if optimal use efficiency is to be achieved, the test time required by the test item needs to be evenly distributed to all the configured workstations.
In this embodiment, when a test item of a product to be tested is distributed to a plurality of work stations, an excessive transportation time is generated
Figure SMS_14
The method comprises the steps of carrying out a first treatment on the surface of the The method for distributing a plurality of workstations comprises the following steps:
acquiring a workstation and corresponding test items thereof from a workstation state library, and acquiring products and required test items thereof from a product information library so as to establish a corresponding relation between the workstation and the test items, namely all the test items which can be tested by each workstation;
according to the input production task, acquiring a set of test items of a product to be tested from a product information base, numbering the test items of the task, wherein the serial numbers ID of the test items and the serial numbers of the product to be tested are in one-to-one correspondence so as to obtain a test task base;
extracting test items which can be completed in a single workstation from a test task library, distributing the test items which can be completed in the single workstation to corresponding workstations, initializing a workstation test item distribution information library, and forming a residual task time library by the residual test items which can be completed in a plurality of workstations;
sequencing the workstation test item allocation information base, and selecting a workstation with the minimum working time as a target workstation;
selecting a test item from the residual task time base, wherein the selection rule is that one with the maximum required time is selected from the test item numbers ID existing in the target workstation;
distributing the selected test items to a target workstation, updating the working time of the target workstation, and synchronously deleting the test items already distributed in the residual task time base, namely updating the residual task time base;
and sequencing the workstation test item allocation information base, selecting a workstation with the minimum working time, namely a target workstation, and performing loop iteration.
In this embodiment, selecting a test item from the remaining task time base, where the selection rule is to select one with the largest required time from the test item numbers ID existing in the target workstation, includes:
if all the test item numbers ID in the residual task time base do not exist in the target workstation, sequencing the test time required by the test items of all the residual task time base according to descending order;
inquiring whether the test item number ID corresponding to the first bit of the ordering exists in any workstation m, if so, and comparing T+t+when the test item time is T
Figure SMS_15
And tm+t; wherein T is the working time corresponding to the target working station, and Tm is the working time corresponding to the working station m;
if the test item number ID corresponding to the first bit is not present in any one of the workstations after traversing all the workstations, the test item number ID is directly distributed to the target workstation, and the working time corresponding to the target workstation is updated.
In this embodiment, T+t+is compared
Figure SMS_16
And tm+t, including:
if T+t+
Figure SMS_17
< Tm+t, thenDistributing the test items to the target working stations, and updating the working time corresponding to the target working stations;
if Tm+t is less than or equal to T+t +
Figure SMS_18
Distributing the test items to the work station m, and updating the working time corresponding to the work station m; wherein T is the working time corresponding to the target workstation.
In this embodiment, after the distribution of the plurality of workstations is completed, the maximum operating time max (T1,..tm,..tn) of a single workstation is minimum, that is, the total time of the production task is minimum; wherein, T1 is the working time corresponding to the working station 1, tm is the working time corresponding to the working station m, and Tn is the working time corresponding to the working station n.
In this embodiment, when the remaining task time base is empty, the corresponding workstation test item allocation information base is the final allocation situation of the current production task, and the flexible test production line control system reads data information from the same to perform task production.
For ease of understanding, the present invention provides a more specific embodiment:
the design idea of the invention is as follows: establishing a product information base (comprising a product test item set, a test item instrument requirement set and test item test time sets); and establishing a workstation state library which comprises the state conditions of the workstation instruments.
And establishing a mapping relation among the elements, collecting the current test item conditions which can be met by each workstation, inputting production tasks (model numbers and quantity of products to be tested), and distributing the test items of each product to be tested through calculation. The implementation is lowest when batch tasks are produced.
Step 1: establishing a product information base:
and (3) designing a product information base format:
the conditions for product A and product B are shown in Table 1 (1 in the column of the apparatus indicates that the apparatus is required, and 0 indicates that the apparatus is not required).
TABLE 1 product information base data structure (example)
Figure SMS_19
Step 2: establishing a workstation state library:
workstation status library format: (in the instrument bar, "1" indicates that the instrument is active and "0" indicates that the instrument is inactive), as shown in Table 2.
Table 2 workstation State library data Structure (example)
Figure SMS_20
Step 3: the production task (product type and number) is externally input, and the distribution operation is performed.
If a production task occurs, n1 products A, n2 products B, n3 products C need to be produced. Then a test task may occur:
Figure SMS_21
(1)
where a1, a2, a3 … an represent test items of product A, B1, B2, B3 … bn represent test items of product B, and C1, C2, C3 … cn represent test items of product C.
Total test time required:
Figure SMS_22
(2)
wherein ,
Figure SMS_23
representing the time required for the test item a1 to test.
Different workstation configurations will have different test capability variations. From the practical situation, at the beginning of a certain task, the instrument state must be determined, and related information can be obtained through a workstation state library.
The work stations 1, 2 and 3 are in parallel operation, and if optimal use efficiency is to be achieved, the test items (time) need to be distributed equally among the three work stations.
One module is arrangedWhen the test items of (a) are distributed to a plurality of work stations, redundant transportation time is generated
Figure SMS_24
Belongs to important constraint conditions in allocation operation.
The logical relationship of the deployment method is shown in FIG. 1.
The test item allocation operation method comprises the following steps:
s1, acquiring information from a workstation state library and a product information library, and establishing a relation between a workstation and a test item:
table 3 workstation and test item relational library data Structure (example)
Figure SMS_25
S2, inputting production tasks (types and quantity of products to be tested), acquiring a tested product test item set from a product information base, numbering task test items, and enabling test item numbers ID and the numbers of the products to be tested to be in one-to-one correspondence. A test task library is established, and the data format is as follows:
table 4 test task library data Structure (example)
Figure SMS_26
S3, extracting test items which can only be completed in a single workstation, initializing a workstation test item allocation information base, and generating a residual task time base.
Table 5 workstation test item assignment information base data structure (example)
Figure SMS_27
Each workstation operating time, workstation 1 time T1, workstation 2 time T2, workstation 3 time T3 is initialized.
T1=(
Figure SMS_28
Testing which can only be done at workstation 1Test time required for item
T2=(
Figure SMS_29
Test item required test time for completion only at workstation 1
T3=(
Figure SMS_30
Test item required test time for completion only at workstation 1
Table 6 remaining task time base data structure (example)
Figure SMS_31
In Table 6, 1 indicates that the workstation can meet the test, and 0 indicates that the test cannot be met.
S4, taking out minimum values min (T1, T2 and T3) of T1, T2 and T3, taking out a test item from the residual task time base, and selecting a rule as the existing ID of the target workstation (because of the existing station exchange time)
Figure SMS_32
And the socket connectors are pulled out and plugged in for a plurality of times when the stations are replaced, so that on the premise of average distribution, single tested product testing work is finished in fewer work stations), and the largest required time is selected from the existing IDs. For example, if the ID numbers a001 and B002 are both present in the workstation 1, 5 test items corresponding to a001 and 4 test items corresponding to B002 are present in the remaining task time base, the test item with the largest required time is selected and assigned to the workstation 1. See fig. 2.
S4.1 if min (T1, T2, T3) occurs, all IDs in the remaining test items are not present in the min (T1, T2, T3) workstation, then T1, T2, T3 are ordered, assuming T1 < T2 < T3.
S4.2 inquiring whether the ID exists in the workstation 2 (corresponding to the time T2) in the rest test items, if so, and the test item time is T, comparing T1+t+
Figure SMS_33
And T2+ T.
S4.2.1 if T1+t+
Figure SMS_34
< T2+t, then assigning test items to workstation 1, and updating the T1 time;
s4.2.2 if T2+t is less than or equal to T1+t +
Figure SMS_35
The test item is assigned to workstation 2 and the T2 time is updated.
S4.3 if no ID is available in the workstation 2 in the remaining test items, the query is made to the workstation 3. And iterating S4.2.
S4.4, if the IDs in the residual task time base do not exist in any one of the workstations after traversing all the workstations, distributing the maximum time test item in the residual task time base to the workstation corresponding to the min (T1, T2 and T3), and updating the corresponding data.
S5, distributing the selected test items to the corresponding work stations (the work station test item distribution information base is updated and the residual task time base is updated), updating the work time Tn of the corresponding work stations (n is the number of the corresponding work stations), and repeating S4 again until the data in the residual task time base is empty.
S6, after the distribution is completed in the mode, the maximum working time MAX (T1, T2 and T3) of the single working station is minimum, namely the total time of the batch production task is minimum.
And S7, when the data of the residual task time base is empty, the corresponding workstation test item allocation information base is the final allocation condition of the production task, and the flexible production line control system reads the data information from the data base to carry out task production.
The number of work stations in the allocation method is not limited to 3, and may be any number.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (9)

1. The self-adaptive test item distribution method in the flexible test production line is characterized by comprising the following steps of:
establishing a product information base; the product information base comprises a product test item set, a test item instrument demand set and test item test time sets;
establishing a workstation state library; the workstation status library comprises workstation instrument status;
performing distribution operation according to the input production task; the production tasks include product types and quantities.
2. The method of claim 1, wherein the test items of each product include the test instrumentation and test time they require;
the workstation instrument status includes valid and invalid.
3. The method of claim 1, wherein the performing the allocation operation based on the input production task comprises:
if the input production task needs to produce n1 products A1, n2 products A2, ni products Ai, nn products An, the output test task is:
Figure QLYQS_1
wherein Ai1, ai2, …, ain are n test items of the product Ai;
the total test time required is:
Figure QLYQS_2
wherein ,
Figure QLYQS_3
to->
Figure QLYQS_4
Test time required for n test items of the product Ai; i has a value ranging from 1 to n.
4. A method according to claim 3, wherein all workstations configured according to the production task are in parallel working condition; if optimal use efficiency is to be achieved, the test time required by the test item needs to be evenly distributed to all the configured workstations.
5. The method of claim 1, wherein when a test item of a product under test is distributed to a plurality of workstations, excess transport time is created
Figure QLYQS_5
The method comprises the steps of carrying out a first treatment on the surface of the The method for distributing a plurality of workstations comprises the following steps:
acquiring a workstation and corresponding test items thereof from a workstation state library, and acquiring products and required test items thereof from a product information library so as to establish a corresponding relation between the workstation and the test items, namely all the test items which can be tested by each workstation;
according to the input production task, acquiring a set of test items of a product to be tested from a product information base, numbering the test items of the task, wherein the serial numbers ID of the test items and the serial numbers of the product to be tested are in one-to-one correspondence so as to obtain a test task base;
extracting test items which can be completed in a single workstation from a test task library, distributing the test items which can be completed in the single workstation to corresponding workstations, initializing a workstation test item distribution information library, and forming a residual task time library by the residual test items which can be completed in a plurality of workstations;
sequencing the workstation test item allocation information base, and selecting a workstation with the minimum working time as a target workstation;
selecting a test item from the residual task time base, wherein the selection rule is that one with the maximum required time is selected from the test item numbers ID existing in the target workstation;
distributing the selected test items to a target workstation, updating the working time of the target workstation, and synchronously deleting the test items already distributed in the residual task time base, namely updating the residual task time base;
and sequencing the workstation test item allocation information base, selecting a workstation with the minimum working time, namely a target workstation, and performing loop iteration.
6. The method of claim 5, wherein selecting a test item from the remaining task time base with a selection rule that selects one of the test item numbers ID existing at the target workstation that requires the greatest time, comprises:
if all the test item numbers ID in the residual task time base do not exist in the target workstation, sequencing the test time required by the test items of all the residual task time base according to descending order;
inquiring whether the test item number ID corresponding to the first bit of the ordering exists in any workstation m, if so, and comparing T+t+when the test item time is T
Figure QLYQS_6
And tm+t; wherein T is the working time corresponding to the target working station, and Tm is the working time corresponding to the working station m;
if the test item number ID corresponding to the first bit is not present in any one of the workstations after traversing all the workstations, the test item number ID is directly distributed to the target workstation, and the working time corresponding to the target workstation is updated.
7. The method of claim 6, wherein the comparison T+t+
Figure QLYQS_7
And tm+t, including:
if T+t+
Figure QLYQS_8
The test items are distributed to the target working stations and the working time corresponding to the target working stations is updated;
if Tm+t is less than or equal to T+t +
Figure QLYQS_9
Distributing the test items to the work station m, and updating the working time corresponding to the work station m; wherein T is the working time corresponding to the target workstation.
8. The method of claim 5, wherein, after the plurality of work stations are assigned, the single workstation maximum working time max (T1,..tm,..tn) is the smallest, i.e. the production task is the lowest in total; wherein, T1 is the working time corresponding to the working station 1, tm is the working time corresponding to the working station m, and Tn is the working time corresponding to the working station n.
9. The method of claim 6, wherein when the remaining task time base is empty, the corresponding workstation test item allocation information base is the final allocation of the current production task, and the flexible test production line control system reads data information from the database to perform task production.
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