Method for generating production mold maintenance tasks

Abstract

A method for generating maintenance tasks for production molds provided by the present invention includes the following steps: S1. Obtain the status parameters of the production mold, including the service time length of the production mold and the last maintenance time; S2. Obtain the output of the products produced by the production mold after the last maintenance and the defective rate of the products; S3. Determine the optimal maintenance time for the next maintenance of the production mold based on the status parameters of the production mold, the output of the products, and the defective rate, and generate a maintenance task; Through the above method, the maintenance cycle of the production mold is determined by combining the products and the production mold, and dynamic adjustment is performed during the determination process, so as to ensure the accuracy of the determined maintenance cycle, effectively prevent the overuse of the production mold, facilitate production scheduling arrangements, and ensure the service life of the production mold.

Description

Technical Field

[0001] The present invention relates to a method for generating production tasks, and more particularly to a method for generating maintenance tasks for production molds. Background Art

[0002] In the field of intelligent manufacturing, there are various production molds. The maintenance of production molds is an important link in determining the sustainability of productivity and product quality.

[0003] In the prior art, the determination of the maintenance plan time point for production molds is generally determined by the production volume or the length of the running time of the production mold during the production process. The existing determination methods have a single consideration factor, resulting in the production mold malfunctioning before reaching the predetermined time, which affects the production arrangement and seriously affects the service life of the production mold itself.

[0004] Therefore, in order to solve the above technical problems, it is urgent to propose a new technical means. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method for generating maintenance tasks for production molds, which combines products and production molds to determine the maintenance cycle of production molds, and dynamically adjusts during the determination process to ensure the accuracy of the determined maintenance cycle, effectively prevent the overuse of production molds, facilitate production scheduling arrangements, and ensure the service life of production molds.

[0006] A method for generating maintenance tasks for production molds provided by the present invention includes the following steps:

[0007] S1. Obtain the state parameters of the production mold, including the service time length of the production mold and the last maintenance time;

[0008] S2. Obtain the production volume of the products produced by the production mold after the last maintenance and the defective rate of the products;

[0009] S3. Determine the optimal maintenance time for the next maintenance of the production mold according to the state parameters of the production mold, the production volume of the products, and the defective rate, and generate a maintenance task.

[0010] Further, in step S3, the optimal maintenance time of the production mold is determined according to the following method:

[0011] Determine the optimal maintenance cycle:

[0012]

[0013] Wherein, T o is the maintenance cycle determined according to experience, t s is the last maintenance time point, t dis the current time point, and Q is the production volume of the current production mold at time t s to t d The production volume of the current production mold within the time period, Q o is T o The production volume within the time period, λ is the defective rate of the product from time t s to t d The defective rate of the product within the time period, η1, η2, and η3 are all weight coefficients, and η1 + η2 + η3 = 1; δ is a constant coefficient, and k is the slope of the production mold performance decay curve;

[0014] Calculate the optimal maintenance time according to the optimal maintenance cycle.

[0015] Furthermore, the slope k of the production mold performance decay curve is determined by the following method:

[0016] Obtain the performance index parameters of the production mold when it leaves the factory;

[0017] Process the production mold within the set time and obtain the change value of the performance index parameters;

[0018] Input the change value of the performance index parameters into MATLAB software for fitting to obtain the curve f(t) of the production mold performance changing with time:

[0019] f(t) = at 2 + bt + c;

[0020] Find the point corresponding to the current time point t on the curve f(t) of the production mold performance changing with time, and calculate the slope k of this point. d

[0021] Furthermore, generating the maintenance task specifically includes: equipment name, equipment type, maintenance type, maintenance time, and maintenance personnel information.

[0022] The beneficial effects of the present invention: Through the present invention, the determination of the production mold maintenance cycle is combined with the product and the production mold, and dynamic adjustment is carried out during the determination process, so as to ensure the accuracy of the determined maintenance cycle, effectively prevent the overuse of the production mold, facilitate production scheduling arrangements, and ensure the service life of the production mold. Brief Description of the Drawings

[0023] The present invention will be further described below in conjunction with the drawings and embodiments:

[0024] Figure 1 is the flow chart of the present invention.

[0025] Figure 2 is the schematic diagram of the production mold performance decay curve of the present invention. Detailed Embodiments

[0026] ​The following further elaborates on the present invention in detail:

[0027] A method for generating maintenance tasks for a production mold provided by the present invention includes the following steps:

[0028] S1. Obtain the status parameters of the production mold, including the service time length of the production mold and the last maintenance time;

[0029] S2. Obtain the output of the products produced by the production mold after the last maintenance and the defective rate of the products;

[0030] S3. Determine the optimal maintenance time for the next maintenance of the production mold based on the status parameters of the production mold, the output of the products, and the defective rate, and generate a maintenance task; Through the above method, the maintenance cycle of the production mold is determined by combining the products and the production mold, and dynamic adjustment is carried out during the determination process, so as to ensure the accuracy of the determined maintenance cycle, effectively prevent the overuse of the production mold, facilitate production scheduling arrangements, and ensure the service life of the production mold.

[0031] In this embodiment, in step S3, the optimal maintenance time of the production mold is determined according to the following method:

[0032] Determine the optimal maintenance cycle:

[0033]

[0034] Wherein, T o is the maintenance cycle determined according to experience, t s is the last maintenance time point, t d is the current time point, Q is the production volume of the current production mold during the period from t s to t d , Q o is the production volume during the period of T o , λ is the defective rate of the products during the period from t s to t d , η1, η2, and η3 are all weight coefficients, and η1 + η2 + η3 = 1; δ is a constant coefficient, and its value range is [2, 5]. Set the δ service time comparison table according to experience, and different service times correspond to different values. Among them, the service time is the effective working time of the production mold after it is initially put into production, that is, excluding the stop working time such as maintenance, and k is the slope of the production mold performance decay curve;

[0035] Calculate the optimal maintenance time according to the optimal maintenance cycle; Through the above method, multiple factors are considered, so as to dynamically and accurately determine the maintenance cycle of the production mold. After the maintenance cycle is determined, the optimal maintenance time point can be determined, that is, the next maintenance time point is obtained by adding the maintenance cycle to the last maintenance time point. The determination process is as follows:

[0036] Set the time calculation points t d1 and t d2 for two maintenance cycles, where t d1 <t d2 , that is, t d1 and t d2 are separated by a set time interval, and use t d1 and t d2 to calculate the optimal maintenance cycles T1 and T2 respectively; if the difference between T1 and T2 is less than the set threshold, then either T1 or T2 is selected as the optimal maintenance cycle. If the difference between T1 and T2 is greater than or equal to the set threshold, then the average value of T1 and T2 is used as the optimal maintenance cycle.

[0037] In this embodiment, the slope k of the performance decay curve of the production mold is determined by the following method:

[0038] Obtain the performance index parameters of the production mold when it leaves the factory; among them, the performance index of the production mold is determined by different production mold types, which belongs to the prior art;

[0039] Process the production mold within a set time and obtain the change value of the performance index parameters;

[0040] Input the change value of the performance index parameters into the MATLAB software for fitting. Among them, the MATLAB software for fitting is the prior art, and the process is not described in detail here. Obtain the curve f(t) of the performance of the production mold changing with time:

[0041] f(t) = at 2 + bt + c; as Figure 2 shown: the performance index of the production mold is shown as a quadratic function curve, and the opening of the function curve faces downward. Figure 2 The origin of coordinates in

[0042] corresponds to the production mold just produced and not put into use. At this time, its performance index is the maximum value f1, and its state is also the best. As the service time increases, its performance index will gradually decrease, and the decreasing trend will gradually increase. When it reaches f2, the production mold can no longer be used for production; since the time point does not exist as a negative number, therefore, only the right half part of the origin of the curve in the figure is taken; d Find the point corresponding to the current time point t

[0043] In this embodiment, generating a maintenance task specifically includes: equipment name, equipment type, maintenance type, maintenance time, and maintenance personnel information. Among them, the maintenance personnel information includes, for example: name, skill level, working years, etc. Of course, in actual work, other corresponding task lists can also be added. This belongs to the prior art and will not be elaborated here again.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for generating maintenance tasks of a production mold, characterized in that: It includes the following steps: S1. Obtain the state parameters of the production mold, including the service time length of the production mold and the last maintenance time; S2. Obtain the output of the products produced by the production mold after the last maintenance and the defective rate of the products; S3. Determine the optimal maintenance time for the next maintenance of the production mold based on the state parameters of the production mold, the output of the products, and the defective rate, and generate a maintenance task; In step S3, the optimal maintenance time of the production mold is determined according to the following method: Determine the optimal maintenance cycle: Among them, T o is the maintenance cycle determined according to experience, t s is the last maintenance time point, t d is the current time point, Q is the production volume of the current production mold during the time period from t s to t d The production volume of the current production mold during the time period, Q o is the production volume during the time period of T o λ is the defective rate of products during the time period from t s to t d The defective rate of products during the time period, η1, η2, and η3 are all weight coefficients, and η1 + η2 + η3 = 1; δ is a constant coefficient, and k is the slope of the production mold performance decay curve; Calculate the optimal maintenance time according to the optimal maintenance cycle; Determine the slope k of the performance decay curve of the production mold by the following method: Obtain the performance index parameters of the production mold when it leaves the factory; Process the production mold within a set time and obtain the change value of the performance index parameters; Input the change value of the performance index parameters into MATLAB software for fitting to obtain the curve f(t) of the performance of the production mold changing with time: f(t) = at 2 + bt + c; Find the point corresponding to the current time point t on the curve f(t) showing the change in the performance of the production mold over time, and calculate the slope k at this point. d ​ 2. The method for generating the maintenance task of the production mold according to claim 1, wherein: Generating a maintenance task specifically includes: equipment name, equipment type, maintenance type, maintenance time, and maintenance personnel information.

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