CN115796328A - Product process route simulation system and product performance prediction method - Google Patents
Product process route simulation system and product performance prediction method Download PDFInfo
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Abstract
A product process route simulation system and a product performance prediction method. The invention comprises the following steps: the CAD/CAE file reading module is used for reading the design data of the product and is butted with the product process model module; the production environment setting module is used for setting the basic condition of a production field; the custom material attribute module is used for setting a bill of materials and calculating parameter attributes of the product; the product process model module is used for identifying design data of a product and generating a visual virtual model; the product process route definition module is used for calculating a process route according to the product process model and automatically generating the process route; the simulation analysis module is used for simulating a process route and simulating production; the production flow optimization module is used for replacing the process route of the simulation analysis module; and the product production performance prediction module is used for predicting the performance of the product. The invention realizes the rapid simulation from the product design data to the product production data, provides necessary data for the product production plan and improves the accuracy of product performance prediction.
Description
The technical field is as follows:
the invention relates to a product process route simulation system and a performance prediction method.
Background art:
in industrial production, product performance is a very important factor, and as the personalized demands of customers and the demands of market and product diversification are gradually higher, the number of lots and small quantities gradually becomes a large trend of the order characteristics of the manufacturing industry. Along with the development needs of the market, customers urgently need products with individuation, low energy consumption and high efficiency to ensure the competitive advantages of the products in the market, higher requirements are put forward for new products developing new originality, the new products are required to be researched and developed, but the original product research and development method faces to the defects of long process route, very complicated manual evaluation system, high verification cost, long period and the like, the traditional product design method needs to be changed urgently, an intelligent design model is introduced, the research and development period is shortened, and the requirements of downstream customers on individuation, diversification, high updating speed and the like of the products are met.
The linkage of product development and production comprises the steps that a product design bill of materials is converted into product production for a product structure table or a material structure table, then estimation of raw material requirements and cost is converted into product process design according to product drawing design, and then the change of the product design for the production capacity requirements and the delivery date is generated, and the change of the raw material or process is generated.
In conventional techniques, simple performance verification is typically performed by simulation software in order to predict the performance of the product prior to final product sizing. However, since there are some unknown differences between the real product production environment and the simulation data, for example, the machine may have an emergency during the production process, and with more and more accidents, the difference between the performance prediction result and the actual performance will become larger and larger, which is difficult to meet the actual requirement.
At present, people adopt CAPP (computer aided process planning, which refers to using computer to perform functions such as numerical calculation, logic judgment and reasoning to make a part machining process by means of computer software and hardware technology and support environment) and DMPM (digital manufacturing process management) systems to manage the relationship between product design and production process. However, the CAPP and the DMPM serve for process management in the production process of the product, and only perform simulation or optimization for each specific manufacturing process, but cannot perform simulation or optimization for a product process route.
In view of the foregoing, there is a need to provide a simulation system with excellent and effective technology to simulate and optimize the product process route, and accurately predict the product performance, so as to solve the integration problem of industrial intelligent production.
The invention content is as follows:
the invention aims to provide a product process route simulation system and a product performance prediction method, which can realize the rapid simulation from product design data to product production data, provide necessary data for a product production plan and improve the accuracy of product performance prediction.
The above purpose is realized by the following technical scheme:
a product process route simulation system comprises a CAD/CAE file reading module, a production environment setting module self-defined material attribute module, a product process model module, a product process route definition module, a simulation analysis module, a production flow optimization module and a product production performance prediction module;
the CAD/CAE file reading module is used for reading design data of a product and is in butt joint with the product process model module;
the production environment setting module is used for setting the basic condition of a production field;
the custom material attribute module is used for setting a bill of materials and calculating parameter attributes of products;
the product process model module is used for identifying design data of a product and generating a visual virtual model;
the product process route definition module calculates a process route according to a product process model and is used for automatically generating the process route;
the simulation analysis module is used for simulating a process route and simulating production;
the production flow optimization module is used for replacing the process route of the simulation analysis module;
the product production performance prediction module is used for predicting the performance of the product.
Furthermore, the production environment setting module comprises a material management unit, a processing center unit, a shift management unit, a process type unit and a tooling mold unit;
the material management unit is used for managing material basic data and material attributes, wherein the material basic data comprises numbers, descriptions, units, characteristics and the like, and the material attributes comprise material numbers, attribute numbers and attribute values;
the system comprises a material, a machining center unit, a shift management unit and a tool die maintenance unit, wherein the material has a plurality of attributes which are managed in a unified mode by using the attributes set in an attribute table, the material attributes provide data parameters for BOM calculation, the machining center unit is used for maintaining parameters related to the machining center, basic data of the machining center comprise serial numbers, descriptions, shifts and working hour calculation formulas, the shift management unit is used for maintaining shift data and comprises serial numbers, descriptions, starting time, ending time and rest time process types, the tool die maintenance unit is used for maintaining the types of the processes and comprises serial numbers, names and remark tool dies and data for maintaining the tool dies.
Further, the product process model module comprises a process model modeling condition unit, a process model procedure detail unit and a process model construction mode unit;
the process model modeling condition unit is used for determining whether the conditions of the process model are used or not when the process flow calculation is maintained
The process model process detail unit is used for maintaining process composition data composing the process model
And the process model construction mode unit is used for defining the construction mode and the construction condition of the process model.
Furthermore, the simulation analysis module product process route definition module comprises a process flow acquiring unit and a process flow splicing unit;
the acquisition process flow unit is used for matching all process models, calculating a modeling conditional expression of each process model, putting the process models meeting the conditions into a standby process flow area, and calculating the process attributes of the process models;
and the splicing process flow unit is used for screening the standby processes according to the construction conditions and splicing the standby processes according with the flow types and the connection conditions to obtain a complete process route.
Further, the simulation analysis module comprises a simulation parameter configuration unit and a production line dynamic simulation unit;
the simulation parameter configuration unit is used for acquiring the configuration simulation parameters of the production line where the equipment is located and the information of the produced products;
and the production line dynamic simulation unit is used for splicing production procedures of products and performing simulation processing to obtain further simulation data.
Further, the production process optimization module comprises a replacement process condition component and a process scheduling condition component, wherein the replacement process condition component consists of attributes of all undetermined numerical values in a product process replacement process; the process scheduling condition component consists of a scheduling mode, a starting completion date, a quantity, a process split value and a process overlap value.
Further, the product production performance prediction module comprises a product information acquisition unit and a product performance simulation data acquisition unit.
The product performance prediction method of the product process route simulation system comprises product process route simulation, specifically comprises a process flow obtaining step and a splicing process flow;
the process flow is carried out according to the following steps:
(1) Taking the process model out of the product process model module, if the process model is obtained, continuing the following steps, and if not, ending the process flow;
(2) A modeling condition expression of a process modeling condition unit of the product process model module is calculated. If the condition is met, continuing to execute the following steps, if not, returning to the step (1);
(3) Calculating the process attribute of the process detail unit of the product process model module process model;
(4) And (4) loading the process flow meeting the conditions into a standby process flow area, and returning to the step (1) for circulation.
The performance prediction method of the product process route simulation system is characterized in that the splicing process flow is carried out according to the following steps:
(1) In the standby process model, taking out the construction mode, if the construction mode is obtained, continuing the following steps, and if the construction mode is not obtained, ending the splicing process flow;
(2) Calculating a construction condition, if the condition is met, continuing the following step, and if the condition is not met, returning to the step (1);
(3) Judging the flow type, if the flow type is a main flow, executing the step (4), and if the flow type is an associated flow or a replacement flow, executing the step (5);
(4) After the process flow attribute is calculated, taking out the process model connection conditions in the process model construction mode unit according to the priority, if the process model connection conditions are obtained, searching the matched process in the established process route according to the previous process conditions in the process model connection conditions, splicing the model behind the process, finishing the model splicing process, if the matched process is not found, taking out the next connection condition in the process model construction mode unit, and if the process model connection conditions are not obtained, directly finishing the process;
(5) And calculating an associated process, calculating a front process matched with the associated process or the replacement process created by the model according to the front process conditions in the process model building mode unit, calculating a rear process matched with the associated process or the replacement process according to the rear process conditions in the process model building mode unit, and finally calculating the process attributes of the process model and finishing.
The invention has the beneficial effects that:
the invention realizes the simulation from product design data to product production data, quickly provides necessary data for product production plan and schedule to realize that the bill of material in the product design drawing is automatically transferred to the database and is directly used by the system, the process flow of the product can also be used for the production schedule and the capacity plan of the system, and in addition, the functions of establishing a process model, simulating the product process route, optimizing the product production process route and the like are provided, so the cost is saved, and the time is saved.
Description of the drawings:
FIG. 1 is a block diagram of the system of the present invention.
Fig. 2 is a block diagram of the internal structure of the system of the present invention.
FIG. 3 is a flow chart of the operation of the acquisition process flow unit of the present invention.
FIG. 4 is a flow chart of a method of the present invention for product performance prediction and development.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example 1:
the invention provides a product process route simulation system, which comprises a CAD/CAE file reading module 1, a production environment setting module 2, a custom material attribute module 3, a product process model module 4, a product process route defining module 5, a simulation analysis module 6, a production flow optimization module 7 and a product production performance prediction module 8, wherein the CAD/CAE file reading module is connected with the production environment setting module 2;
the CAD/CAE file reading module 1 is used for reading design data of a product and is in butt joint with a product process model module;
the production environment setting module 2 is used for setting the basic condition of a production field;
the self-defined material attribute module 3 is used for setting a bill of materials and calculating parameter attributes of products;
the product process model module 4 is used for identifying design data of a product and generating a visual virtual model;
the product process route definition module 5 calculates a process route according to a product process model, and is used for automatically generating the process route;
the simulation analysis module 6 is used for simulation and production simulation of a process route;
the production flow optimization module 7 is used for replacing the process route of the simulation analysis module;
the product production performance prediction module 8 is used for predicting the performance of the product.
The production environment setting module 2 comprises a material management unit 2-1, a machining center unit 2-2, a shift management unit 2-3, a procedure type unit 2-4 and a tooling mold unit 2-5;
the material management unit 2-1 is used for managing material basic data and material attributes, wherein the material basic data comprises numbers, descriptions, units, characteristics and the like, and the material attributes comprise material numbers, attribute numbers and attribute values; one material can have a plurality of attributes, the attributes are managed uniformly by using the attributes set in the attribute table, and the material attributes provide data parameters for BOM calculation;
and the machining center unit 2-2 is used for maintaining parameters related to the machining center, basic data of the machining center comprises a number, description, shift and working hour calculation formula, and working hour calculation comprises shortest waiting time, longest waiting time, machine adjusting time, machining time, disassembling time, conveying time and the like. In the machining center, a calculation formula for each working hour can be set as a default calculation formula of relevant working procedures, and the working hour calculation formula in the working procedures can be changed according to needs; the delivery time represents the time required for transferring the process between two machining centers, and a two-dimensional table can be used to establish a parameter value related to the delivery time between the machining centers, and the delivery time is calculated in the working hours of the previous process;
the shift management unit 2-3 is used for maintaining shift data, including process types of serial numbers, descriptions, start times, end times and rest times, and maintaining the types of the processes, including serial numbers, names and remarks; and the tooling die is used for maintaining the data of the tooling die.
Example 2:
according to the product process route simulation system of embodiment 1, the custom material attribute module 3 is used for setting a bill of materials and calculating parameter attributes of a product;
the attribute table content comprises attribute numbers, descriptions, states, data type character strings, numbers, dates, time, length, decimal points and units;
the title bar, the detailed list and all the key labels of the CAD drawing need to unify all the set attributes, so that the system transmits the data into a modeling formula to calculate a correct result;
the user-defined attribute table is established, so that the system can adapt to different product designs and different software of different users, and the application range and flexibility of the system are improved.
Example 3:
according to the product process route simulation system of embodiment 2, as shown in fig. 3, the product process model module 4 includes a process model modeling condition unit 4-1, a process model procedure specification unit 4-2, and a process model construction mode unit 4-3;
the process model modeling condition unit 4-1 is used for determining whether to use the condition of the process model when maintaining process flow calculation, wherein the modeling condition consists of a group of conditional expressions, each conditional expression is a logic operation formula with variables, and the variables are attributes in an attribute list;
the process model process detail unit 4-2 is used for maintaining process composition data of process models, and one process model can be composed of a plurality of processes. The process consists of basic process data and a plurality of process attributes; the process model process detail unit comprises a process basic data component, a process attribute component, a process working hour attribute component and a process scheduling attribute component, wherein the process basic data component is used for maintaining basic data of a process and comprises a process serial number, a sequence number, a process type, a new process attribute component in processing and an attribute used for maintaining the process, the process basic data component comprises an attribute serial number, a sequence number, a type, an attribute creating condition, an attribute serial number, an attribute content process working hour attribute component and a calculation attribute used for maintaining fixed working hours, the fixed working hours comprise waiting time, shunting time, processing time, disassembling time and conveying time process scheduling attribute component and are used for maintaining the attributes of the process scheduling and comprise a rejection rate, a process splitting strategy, a splitting strategy value, a process overlapping strategy and a process overlapping value.
And the process model construction mode unit 4-3 is used for defining the construction mode and the construction condition of the process model. A process model has a plurality of construction methods, each of which is composed of basic data, a plurality of connection conditions, and a plurality of process flow attributes. The process model building mode unit 4-3 comprises a basic data component, a connection condition component and a process flow attribute component, wherein the basic data component is used for maintaining basic data for building a process model and comprises a building mode serial number, a sequence number, a building condition, a mode, a process type, a replacement condition, an associated process condition, a pre-process condition and a post-process condition; and the connection condition component is used for maintaining the connection conditions of the construction mode, and comprises a connection condition serial number, a sequence number, a previous procedure condition process flow attribute component and a process flow attribute component for maintaining the process flow generated by the construction mode.
Example 4:
according to the product process route simulation system of embodiment 3, the simulation analysis module product process route definition module 5 comprises a process flow obtaining unit 5-1 and a splicing process flow unit 5-2;
the acquiring process flow unit 5-1 is used for matching all process models, calculating a modeling conditional expression of each process model, putting the process models meeting the conditions into a standby process flow area, and calculating the process attributes of the process models;
and the splicing process flow unit 5-2 is used for screening the standby processes according to the construction conditions and splicing the standby processes according to the flow types and the connection conditions to obtain a complete process route.
Example 5:
the product process route simulation system according to embodiment 4, the product process route simulation system according to claim 1, wherein the simulation analysis module 6 comprises a simulation parameter configuration unit 6-1, a production line dynamic simulation unit 6-2;
the simulation parameter configuration unit 6-1 is used for acquiring simulation parameters configured on a production line where the equipment is located and product information produced;
the production line dynamic simulation unit 6-2 is used for splicing production procedures of products and performing simulation processing to obtain further simulation data.
Example 5:
according to the product process route simulation system of embodiment 4, the production process optimization module 7 includes a replacement process condition component 7-1 and a process scheduling condition component 7-2, wherein the replacement process condition component is composed of attributes of all undetermined values in a product process replacement process; the process scheduling condition component consists of a scheduling mode, a starting completion date, a quantity, a process split value and a process overlap value.
The simulation data of the production process optimization module 7 is input into a machine learning model for machine learning training, the product information and the performance simulation data are input into the machine learning model for training to obtain an initial performance model of the product, and the simulation parameter configuration unit 6-1 inputs the simulation data into the product performance prediction model 8 to compare and predict the product performance of the product.
The system comprises a replacement process condition component and a process scheduling condition component, wherein the replacement process condition component is composed of all undetermined numerical attributes in a product process replacement process to form the process scheduling condition component, and is composed of a scheduling mode, a starting completion date, a number, a process split value and a process overlap value;
according to the scheduling mode, the earliest starting completion date and the latest starting completion date of each process are calculated forward according to the completion date or backward according to the starting date. Considering process splitting and process overlapping, the complexity of calculation is further improved, and meanwhile, the calculation is further close to the actual situation, so that the scheduling can better reflect the actual situation. Finally, the result of the calculation
The time and process are shown in the graph on the axis, and the graph on the axis changes as the arbitrary condition changes. Therefore, the advantages and disadvantages of the scheduling result can be visually compared for several times, and an optimal scheduling result is finally obtained. The process split is to divide one process into several parts, and can be started simultaneously. Process overlap defines the relationship between two processes before and after, which allows the next process to start when the previous process is not completed.
Example 6:
the method for predicting the production performance of the product process route simulation system according to the embodiments 1 to 5 includes the steps of simulating a product process route, including an obtaining process flow and a splicing process flow, wherein the obtaining process flow is performed according to the following steps, as shown in fig. 4:
(1) Taking out the process model from the product process model module, if the process model is obtained, continuing the following steps, and if the process model is not obtained, ending the process flow;
(2) Calculating a modeling condition expression of a process modeling condition unit of the product process model module, continuing the following steps if the modeling condition expression meets the condition, and returning to the step if the modeling condition expression does not meet the condition;
(3) Calculating the process attribute of the process detail unit of the product process model module process model;
(4) Loading the qualified technological process into the spare technological process area and returning to the step circulation
The splicing process flow is carried out according to the following steps:
(1) Taking the process model out of the product process model module, if the process model is obtained, continuing the following steps, and if not, ending the process flow;
(2) A modeling condition expression of a process modeling condition unit of the product process model module is calculated. If the condition is met, continuing to execute the following steps, if not, returning to the step (1);
(3) Calculating the process attribute of the process detail unit of the product process model module process model;
(4) And (4) loading the process flow meeting the conditions into a standby process flow area, and returning to the step (1) for circulation.
The splicing process flow is carried out according to the following steps:
(1) Taking out the construction mode from the standby process model, if the construction mode is obtained, continuing the following steps, and if the construction mode is not obtained, finishing the splicing process flow;
(2) Calculating a construction condition, if the condition is met, continuing the following step, and if the condition is not met, returning to the step (1);
(3) Judging the flow type, if the flow type is the main flow, executing the step (4), and if the flow type is the associated flow or the alternative flow, executing the step (5);
(4) After the process flow attribute is calculated, taking out the process model connection conditions in the process model construction mode unit according to the priority, if the process model connection conditions are obtained, searching the matched process in the established process route according to the previous process conditions in the process model connection conditions, splicing the model behind the process, finishing the model splicing process, if the matched process is not found, taking out the next connection condition in the process model construction mode unit, and if the process model connection conditions are not obtained, directly finishing the process;
(5) And calculating a related process, calculating a previous process matched with the related process or a replacement process created by the model according to the previous process conditions in the process model building mode unit, calculating a subsequent process matched with the related process or the replacement process according to the subsequent process conditions in the process model building mode unit, and finally calculating the process attribute of the process model and ending.
The product production performance prediction module (8) comprises a product information acquisition unit (8-1) and a product performance simulation data acquisition unit (8-2). The method for producing the performance prediction module comprises the steps of obtaining process-consistent data of a research and development product; determining sample data according to the process-consistent data; obtaining a data cleaning rule according to the statistical distribution condition of the sample data, and cleaning the sample data according to the data cleaning rule; establishing a plurality of data mining algorithm models for the cleaned sample data, training the models, obtaining training results and establishing corresponding model files; obtaining new sample data according to the model file, and performing model verification on the model file by using the new sample data to obtain a model verification result; obtaining an optimal model according to the model verification result, and storing the optimal model; and obtaining a corresponding performance predicted value according to the performance requirement of the research and development product in research and development by utilizing the optimal model.
According to the scheduling mode, the earliest starting completion date and the latest starting completion date of each process are calculated forward according to the completion date or backward according to the starting date. Considering process splitting and process overlapping, the complexity of calculation is further improved, and meanwhile, the calculation is further close to the actual situation, so that the scheduling can better reflect the actual situation. Finally, the result of the calculation
The time and process are shown as graphs on the axis, and the graphs on the axis change with changes in arbitrary conditions. Therefore, the quality of the scheduling result can be visually compared for several times, and an optimal scheduling result is finally obtained. The process split is to divide one process into several parts, and can be started simultaneously. Process overlap defines the relationship between two processes before and after, which allows the next process to start when the previous process is not completed;
finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A product process route simulation system is characterized by comprising a CAD/CAE file reading module (1), a production environment setting module (2), a custom material attribute module (3), a product process model module (4), a product process route defining module (5), a simulation analysis module (6), a production flow optimization module (7) and a product production performance prediction module (8);
the CAD/CAE file reading module (1) is used for reading design data of a product and is in butt joint with a product process model module;
the production environment setting module (2) is used for setting the basic condition of a production site;
the custom material attribute module (3) is used for setting a bill of materials and calculating parameter attributes of products;
the product process model module (4) is used for identifying design data of a product and generating a visual virtual model;
the product process route definition module (5) calculates a process route according to a product process model and is used for automatically generating the process route;
the simulation analysis module (6) is used for simulation and production simulation of a process route;
the production flow optimization module (7) is used for replacing the process route of the simulation analysis module;
the product production performance prediction module (8) is used for predicting the performance of the product.
2. The product process route simulation system of claim 1, wherein the production environment setting module (2) comprises a material management unit (2-1), a machining center unit (2-2), a shift management unit (2-3), a process type unit (2-4) and a tooling mold unit (2-5);
the material management unit (2-1) is used for managing material basic data and material attributes, wherein the material basic data comprises a number, description, a unit, characteristics and the like, and the material attributes comprise a material number, an attribute number and an attribute value;
the system comprises a material, a machining center unit, a shift management unit and a tool die maintenance unit, wherein the material has a plurality of attributes which are managed in a unified mode by using the attributes set in an attribute table, the material attributes provide data parameters for BOM calculation, the machining center unit is used for maintaining parameters related to the machining center, basic data of the machining center comprise serial numbers, descriptions, shifts and working hour calculation formulas, the shift management unit is used for maintaining shift data and comprises serial numbers, descriptions, starting time, ending time and rest time process types, the tool die maintenance unit is used for maintaining the types of the processes and comprises serial numbers, names and remark tool dies and data for maintaining the tool dies.
3. The product process route simulation system according to claim 1, wherein the product process model module (4) comprises a process model modeling condition unit (4-1), a process model procedure specification unit (4-2) and a process model construction mode unit (4-3);
the process model modeling condition unit (4-1) is used for determining whether the process model is used when the process flow is maintained for calculation
The process model procedure detail unit (4-2) is used for maintaining procedure construction data composing the process model
And the process model construction mode unit (4-3) is used for defining the construction mode and the construction condition of the process model.
4. The product process route simulation system of claim 1, wherein the simulation analysis module product process route definition module (5) comprises a get process flow unit (5-1), a splice process flow unit (5-2);
the acquisition process flow unit (5-1) is used for matching all process models, calculating a modeling condition expression of each process model, putting the process models meeting the conditions into a standby process flow area, and calculating the process attributes of the process models;
and the splicing process flow unit (5-2) is used for screening the standby processes according to the construction conditions and splicing the qualified standby processes according to the flow types and the connection conditions to obtain a complete process route.
5. The product process route simulation system of claim 1, wherein the simulation analysis module (6) comprises a simulation parameter configuration unit (6-1), a production line dynamic simulation unit (6-2);
the simulation parameter configuration unit (6-1) is used for acquiring the configuration simulation parameters of the production line where the equipment is located and the information of the produced products;
the production line dynamic simulation unit (6-2) is used for splicing production procedures of products and performing simulation processing to obtain further simulation data.
6. The product process route simulation system of claim 1, wherein the production process optimization module (7) comprises a replacement process condition component (7-1) and a process scheduling condition component (7-2), wherein the replacement process condition component is composed of attributes of all undetermined values in the product process replacement process; the process scheduling condition component consists of a scheduling mode, a starting completion date, a quantity, a process split value and a process overlap value.
7. The product process route simulation system according to claim 1, wherein the product production performance prediction module (8) comprises a product information acquisition unit (8-1), a product performance simulation data acquisition unit (8-2).
8. The product performance prediction method of the product process route simulation system according to any one of claims 1 to 7, comprising product process route simulation, specifically comprising an acquisition process flow and a splicing process flow;
the process flow is carried out according to the following steps:
(1) Taking the process model out of the product process model module, if the process model is obtained, continuing the following steps, and if not, ending the process flow;
(2) Calculating a modeling condition expression of a process modeling condition unit of the product process model module, and if the condition is met, continuing to execute the following steps, if not, returning to the step (1);
(3) Calculating the process attribute of the process detail unit of the product process model module process model;
(4) And (4) loading the process flow meeting the conditions into a standby process flow area, and returning to the step (1) for circulation.
9. The product performance prediction method of the product process route simulation system according to claim 8, wherein the splicing process flow is performed according to the following steps:
(1) Taking out the construction mode from the standby process model, if the construction mode is obtained, continuing the following steps, and if the construction mode is not obtained, finishing the splicing process flow;
(2) Calculating a construction condition, if the condition is met, continuing the following step, and if the condition is not met, returning to the step (1);
(3) Judging the flow type, if the flow type is a main flow, executing the step (4), and if the flow type is an associated flow or a replacement flow, executing the step (5);
(4) After the process flow attribute is calculated, taking out the process model connection conditions in the process model construction mode unit according to the priority, if the process model connection conditions are obtained, searching the matched process in the established process route according to the previous process conditions in the process model connection conditions, splicing the model behind the process, finishing the model splicing process, if the matched process is not found, taking out the next connection condition in the process model construction mode unit, and if the process model connection conditions are not obtained, directly finishing the process;
(5) And calculating an associated process, calculating a front process matched with the associated process or the replacement process created by the model according to the front process conditions in the process model building mode unit, calculating a rear process matched with the associated process or the replacement process according to the rear process conditions in the process model building mode unit, and finally calculating the process attributes of the process model and finishing.
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| CN (1) | CN115796328A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116307405A (en) * | 2023-05-25 | 2023-06-23 | 日照鲁光电子科技有限公司 | Diode performance prediction method and system based on production data |
| CN116502474A (en) * | 2023-06-27 | 2023-07-28 | 中国电子工程设计院有限公司 | Dynamic simulation-based layout optimization method and device for medical equipment assembly line |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116307405A (en) * | 2023-05-25 | 2023-06-23 | 日照鲁光电子科技有限公司 | Diode performance prediction method and system based on production data |
| CN116307405B (en) * | 2023-05-25 | 2023-08-04 | 日照鲁光电子科技有限公司 | Diode performance prediction method and system based on production data |
| CN116502474A (en) * | 2023-06-27 | 2023-07-28 | 中国电子工程设计院有限公司 | Dynamic simulation-based layout optimization method and device for medical equipment assembly line |
| CN116502474B (en) * | 2023-06-27 | 2023-11-21 | 中国电子工程设计院有限公司 | Dynamic simulation-based layout optimization method and device for medical equipment assembly line |
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