CN115328061A - Production mold maintenance task generation method - Google Patents
Production mold maintenance task generation method Download PDFInfo
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- CN115328061A CN115328061A CN202211057428.0A CN202211057428A CN115328061A CN 115328061 A CN115328061 A CN 115328061A CN 202211057428 A CN202211057428 A CN 202211057428A CN 115328061 A CN115328061 A CN 115328061A
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 102
- 238000012423 maintenance Methods 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000002950 deficient Effects 0.000 claims abstract description 11
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012887 quadratic function Methods 0.000 description 1
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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] or computer integrated manufacturing [CIM]
- G05B19/41885—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] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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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
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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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
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention provides a production mold maintenance task generation method, which comprises the following steps: s1, acquiring state parameters of a production mold, including service time length and last maintenance time of the production mold; s2, obtaining the yield of the products produced by the production die after the last maintenance and the defective rate of the products; s3, determining the best maintenance time of the production mold for next maintenance according to the state parameters of the production mold, the yield of the product and the defective rate, and generating a maintenance task; by the method, the maintenance period of the production mold is determined by combining the product and the production mold, and the dynamic adjustment is performed in the determination process, so that the accuracy of the maintenance period determination is ensured, the excessive use of the production mold is effectively prevented, the production scheduling arrangement is facilitated, and the service life of the production mold is ensured.
Description
Technical Field
The invention relates to a production task generation method, in particular to a production mold maintenance task generation method.
Background
In the field of intelligent manufacturing, various production molds exist, and maintenance of the production molds is an important link for determining the continuity of productivity and the quality of products.
In the prior art, the maintenance schedule time point of the production mold is generally determined by the production amount or the length of the operation time of the production mold in the production process, and the existing determination method has the problem that the consideration factor is single, so that the production mold fails before the preset time, the production arrangement is influenced, and the service life of the production mold is seriously influenced.
Therefore, in order to solve the above technical problems, it is necessary to provide a new technical means.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method for generating a maintenance task of a production mold, which combines a product and the production mold to determine a maintenance cycle of the production mold, and dynamically adjusts the maintenance cycle during the determination process, so as to ensure the accuracy of the determination of the maintenance cycle, effectively prevent the production mold from being used excessively, facilitate the production scheduling arrangement, and ensure the service life of the production mold.
The invention provides a production mold maintenance task generation method, which comprises the following steps:
s1, acquiring state parameters of a production mold, including service time length and last maintenance time of the production mold;
s2, obtaining the yield of products produced by the production mold after last maintenance and the defective rate of the products;
and S3, determining the optimal maintenance time of the next maintenance of the production mold according to the state parameters of the production mold, the yield of the product and the defective rate, and generating a maintenance task.
Further, in step S3, an optimal maintenance time of the production mold is determined according to the following method:
determining an optimal maintenance period:
wherein, T o For an empirically determined maintenance cycle, t s At the last maintenance time point, t d For the current time point, Q ist s To t d Production of the current production mold during the time period, Q o Is T o Production in time period, λ is t s To t d Defective rate of products in time period eta 1 、η 2 And η 3 Are all weight coefficients, and η 1 +η 2 +η 3 =1; delta is a constant coefficient, and k is the slope of the performance attenuation curve of the production mold;
and calculating the optimal maintenance time according to the optimal maintenance period.
Further, the slope k of the production mold performance decay curve is determined by the following method:
acquiring performance index parameters of a production mold when leaving a factory;
processing the production mould within a set time, and acquiring a variation value of a performance index parameter;
inputting the variation value of the performance index parameter into MATLAB software for fitting to obtain a curve f (t) of the performance of the production die along with the variation of time:
f(t)＝at 2 +bt+c；
finding the current time point t on the curve f (t) of the change of the performance of the production mould with time d And calculating the slope k of the corresponding point.
Further, generating the maintenance task specifically includes: equipment name, equipment type, maintenance time, and maintenance personnel information.
The invention has the beneficial effects that: according to the invention, the maintenance period of the production mold is determined by combining the product and the production mold, and the dynamic adjustment is carried out in the determination process, so that the accuracy of the maintenance period determination is ensured, the excessive use of the production mold is effectively prevented, the production scheduling arrangement is facilitated, and the service life of the production mold is ensured.
Drawings
The invention is further described below with reference to the following figures and examples:
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a graph showing the decay curve of the production mold performance of the present invention.
Detailed Description
The invention is further described in detail below:
the invention provides a production mold maintenance task generation method, which comprises the following steps:
s1, acquiring state parameters of a production mold, including service time length and last maintenance time of the production mold;
s2, obtaining the yield of the products produced by the production die after the last maintenance and the defective rate of the products;
s3, determining the best maintenance time of the production mold for next maintenance according to the state parameters of the production mold, the yield of the product and the defective rate, and generating a maintenance task; by the method, the maintenance period of the production mold is determined by combining the product and the production mold, and the dynamic adjustment is performed in the determination process, so that the accuracy of the maintenance period determination is ensured, the excessive use of the production mold is effectively prevented, the production scheduling arrangement is facilitated, and the service life of the production mold is ensured.
In this embodiment, in step S3, the optimal maintenance time of the production mold is determined according to the following method:
determining an optimal maintenance period:
wherein, T o For an empirically determined maintenance cycle, t s At the last maintenance time point, t d For the current time point, Q is t s To t d Production of the current production mold during the time period, Q o Is T o Production in time period, λ is t s To t d Defective rate of products in time period eta 1 、η 2 And η 3 Are all weight coefficients, and η 1 +η 2 +η 3 =1; delta is a constant coefficient and has a value range of [2,5]Setting delta in a service time comparison table according to experience, wherein different service times correspond to different values, wherein the service time is the service time of the production mold after the production mold is put into production for the first timeEffective working time, namely working stopping time such as excluding overhaul and the like, and k is the slope of a performance attenuation curve of the production mold;
calculating the optimal maintenance time according to the optimal maintenance period; by the method, multiple factors are considered, so that the maintenance period of the production mold is dynamically and accurately determined, after the maintenance period is determined, the optimal maintenance time point can be determined, namely the next maintenance time point is obtained by adding the last maintenance time point to the maintenance period, and the determination process is as follows:
setting time calculation points t of two maintenance periods d1 And t d2 ，t d1 ＜t d2 I.e. t d1 And t d2 At a set time interval and using t d1 And t d2 Respectively calculating out optimum maintenance period T 1 And T 2 (ii) a Such as T 1 And T 2 Is less than the set threshold, then T 1 And T 2 Optionally selecting one of the cycles as an optimal maintenance cycle if T 1 And T 2 Is greater than or equal to the set threshold, then T is used 1 And T 2 Is the most optimal maintenance cycle.
In this example, the slope k of the production mold performance attenuation curve was determined by the following method:
acquiring performance index parameters of a production mold when leaving a factory; wherein, the performance index of the production mould is determined by different types of the production mould, which belongs to the prior art;
processing the production mould within a set time, and acquiring a variation value of a performance index parameter;
inputting the variation value of the performance index parameter into MATLAB software for fitting, wherein the MATLAB software is fitted into the prior art, the process is not repeated here, and a curve f (t) of the performance of the production mold changing along with time is obtained:
f(t)＝at 2 + bt + c; as shown in fig. 2: the performance index of the production mold is represented by a quadratic function curve with the opening of the function curve facing downwards, and the origin of coordinates in FIG. 2 corresponds to the point where the production mold has just been produced and is not put into use, and at this time, the performance index is at the maximumf1, the state is also optimal, the performance index of the die is gradually reduced along with the increase of the service time, the reduction trend of the performance index is gradually increased, and when the service time reaches f2, the production die can not be produced any more; because there is no negative number at the time point, the curve in the graph only takes the right half part of the origin;
finding the current time point t on the curve f (t) of the change of the performance of the production mould with time d And calculating the slope k of the corresponding point, and taking the absolute value of the slope k.
In this embodiment, generating the maintenance task specifically includes: equipment name, equipment type, maintenance time, maintenance personnel information, wherein the maintenance personnel information is, for example: names, skill levels, working years and the like, and certainly, other corresponding task lists can be added in the actual work, which belongs to the prior art and is not repeated again.
Finally, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A production mold maintenance task generation method is characterized by comprising the following steps: the method comprises the following steps:
s1, acquiring state parameters of a production mold, including service time length and last maintenance time of the production mold;
s2, obtaining the yield of the products produced by the production die after the last maintenance and the defective rate of the products;
and S3, determining the optimal maintenance time of the next maintenance of the production mold according to the state parameters of the production mold, the yield of the product and the defective rate, and generating a maintenance task.
2. The production mold maintenance task generating method according to claim 1, characterized in that: in step S3, the optimum maintenance time of the production mold is determined according to the following method:
determining an optimal maintenance period:
wherein, T o For maintenance periods determined empirically, t s At the last maintenance time point, t d For the current time point, Q is t s To t d Production of the current production mold during the time period, Q o Is T o Production in time period, λ is t s To t d Defective rate of products in time period, eta 1 、η 2 And η 3 Are all weight coefficients, and η 1 +η 2 +η 3 =1; delta is a constant coefficient, and k is the slope of the performance attenuation curve of the production mold;
and calculating the optimal maintenance time according to the optimal maintenance period.
3. The production mold maintenance task generating method according to claim 2, characterized in that: determining the slope k of the production mold property decay curve by the following method:
acquiring performance index parameters of a production mold when leaving a factory;
processing the production mould within a set time, and acquiring a variation value of a performance index parameter;
inputting the variation value of the performance index parameter into MATLAB software for fitting to obtain a curve f (t) of the performance of the production die along with the variation of time:
f(t)＝at 2 +bt+c；
finding the current time point t on the curve f (t) of the change of the performance of the production mould with time d And calculating the slope k of the corresponding point.
4. The production mold maintenance task generating method according to claim 1, characterized in that: the generating of the maintenance task specifically comprises: equipment name, equipment type, maintenance time, and maintenance personnel information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211057428.0A CN115328061A (en) | 2022-08-31 | 2022-08-31 | Production mold maintenance task generation method |
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| CN202211057428.0A CN115328061A (en) | 2022-08-31 | 2022-08-31 | Production mold maintenance task generation method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252358A (en) * | 2023-09-07 | 2023-12-19 | 云智汇(武汉)科技服务有限公司 | Mold management system and method |
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2022
- 2022-08-31 CN CN202211057428.0A patent/CN115328061A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252358A (en) * | 2023-09-07 | 2023-12-19 | 云智汇(武汉)科技服务有限公司 | Mold management system and method |
| CN117252358B (en) * | 2023-09-07 | 2024-05-17 | 云智汇(武汉)科技服务有限公司 | Mold management system and method |
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