Working hour calculation system and method
By building a digital twin computing model, dynamically calculate the working hours under production factor conditions, the problem that traditional working hours calculation methods cannot accurately reflect dynamic changes is solved, and higher calculation accuracy and meticulousness are achieved, and lean management and optimization of production planning is supported. .
Patent Information
- Application Number
- CN202411393589.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-08
- Publication Date
- 2025-02-14
AI Technical Summary
The traditional working hours calculation method is static, which cannot accurately reflect the dynamically changing production factor conditions, resulting in the calculation not being consistent with the actual situation and it is difficult to meet lean management needs, especially in the analysis and calculation of bottleneck links.
By building a digital twin calculation model, combining the work step information module, dynamic coefficient calculation module and digital twin calculation module, dynamic calculation time under production factor conditions, including processing production factor information data, calculating dynamic change coefficients, and through three-dimensional modeling and The logic control component simulates the verification process and work time calculation results.
Dynamic working hours calculation is realized, which improves the accuracy and meticulousness of working hours calculation, can more effectively support the prediction and lean management of production plans, and enhances the evaluation and optimization capabilities of production operation processes.
Smart Images
Figure CN119443576A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of mechanical processing manufacturing, production management and digital twin technology, and in particular to a working hour calculation system and method. Background Art
[0002] Working hours calculation and statistics are important bases and basic data for enterprise production and operation management. Traditional working hours calculation methods and basic data are static, generally a rough average value over a period of time. In the actual production process, the actual working hours are dynamically changing due to changes in production factors such as personnel, equipment, and environment, which inevitably leads to differences between calculated working hours and actual working hours, and cannot meet the needs of lean management. The traditional method of calculating working hours through table statistics cannot fully evaluate the actual production operation process, and lacks effective verification methods, and often the calculation is inconsistent with the actual situation. In addition, the existing working hours analysis methods and calculation methods are difficult to analyze and calculate specific production operations, especially bottleneck links. Summary of the invention
[0003] The purpose of the present invention is to provide a working time calculation system and method for solving the above-mentioned problems, by constructing a digital twin calculation model to calculate dynamic working hours.
[0004] The technical solution of the present invention is as follows:
[0005] A working time calculation system, comprising:
[0006] The work step information module is used to store and manage work step information;
[0007] A dynamic coefficient calculation module, which is used to process the information data of production factors and calculate the dynamic change coefficient of production factor data and process step time based on production management rules, including a data processing module, a rule method module and a coefficient calculation module;
[0008] The digital twin calculation module includes a digital twin model module, a work step sequence configuration module, and a working time calculation and verification module. The work step sequence configuration module configures the work step information that needs to be calculated in the work step information module to generate a work step information sequence; the working time calculation and verification module parses the information in the generated work step information sequence, calculates the working time of the work step information sequence and the logical process and time allocation of the collaborative operation of production factors, and loads and calls the three-dimensional model, action and logic components of the production factors in the digital twin model module to simulate and verify the work step sequence execution process and the working time calculation results.
[0009] Furthermore, the work step sequence configuration module selects the information in the work step information module to configure the work step information sequence, the work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.
[0010] Furthermore, the digital twin model module is an organization and management digital twin model, and the digital twin model includes a digital twin model constructed for the production factors in the work step information; the digital twin model includes a three-dimensional model component, a model action component, and a logic control component; the three-dimensional model component is a three-dimensional model file of a production factor with a physical entity; the model action component is an action file or other similar module that can drive the three-dimensional model component to simulate work step operations or runs; the logic control component is a program script or other similar module that describes and controls the attribute methods and behavior logic of the digital twin model of the production factors.
[0011] Furthermore, the information in the generated work step information sequence includes production factor items, action items, time items, and dynamic coefficient items.
[0012] Furthermore, the data processing module processes production information data, including processing systems and data of production planning, production execution, work order management, equipment management, personnel information, and environmental monitoring.
[0013] Furthermore, the rule method module performs rule conversion and calculation method formulation on the enterprise production operation management rule information data, including interpreting and converting the enterprise management system, workshop production management methods, and process production technology document information data and formulating calculation rules.
[0014] Furthermore, the coefficient calculation module calculates the dynamic coefficient of working hours and its fluctuation range, and based on the data processed by the data processing module and the rule method of the rule calculation module, calculates the dynamic coefficient and fluctuation range of the impact of changes in production factor information data on the working step time. The production factor coefficient includes personnel coefficient, equipment coefficient, environmental coefficient, and quantity coefficient.
[0015] Furthermore, the work step information is decomposed information of the process steps of the process processing, including the operator, work equipment, work tools, work actions, work time information and data performing the work step.
[0016] The present application includes a method for calculating working hours, comprising the following steps:
[0017] Based on the production management, technical requirements and actual production process of the workpiece, the production factors, process steps and process time involved in the execution of the processing process are decomposed into process step information according to the principles of distinguishability, measurability, evaluation and data description, and the process step information module is constructed;
[0018] Construct a dynamic coefficient calculation module to obtain the personnel, equipment, work order, and workshop environment monitoring data information in the production information system. According to the enterprise production management evaluation rules, workshop production operation rules and other management and evaluation methods, analyze the impact of personnel, equipment, tools, and quantity information data status changes on the workpiece production step time during the execution of production operations, formulate calculation and evaluation rules, and calculate the dynamic change coefficient of personnel, equipment, environment, and quantity factors affecting the work step time;
[0019] Build a digital twin computing module, perform three-dimensional modeling based on production scenarios, production factors, and process actions, and build a digital twin model module, work step sequence configuration module, and working time calculation and verification module corresponding to the information in the work step information module.
[0020] Furthermore, the work step sequence configuration module selects the information in the work step information module to configure the work step information sequence, the work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.
[0021] Compared with the prior art, the present invention has the following beneficial effects:
[0022] 1. A working time calculation system and method. The traditional working time calculation method is a static method. This application can dynamically calculate the working time under the change of production factor condition status;
[0023] 2. A man-hour calculation system and method, based on production factors, work step decomposition and operation rules, fully restores and verifies the production operation process, and improves the accuracy of the man-hour calculation plan;
[0024] 3. A working time calculation system and method can be used for forecasting and formulating production plans, improving planning accuracy and management level; refining working time calculation to provide support for enterprise lean management; the system module functional structure is easy to maintain and integrate with other systems. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 The present invention is a flow chart of the structure of a working time calculation system and method.
[0026] Figure 2 This is a production scene diagram of a manual dynamic balancing process for a rotating workpiece according to an embodiment of the present application.
[0027] Figure 3 This is a table of process step information of the manual dynamic balancing process according to an embodiment of the present application. DETAILED DESCRIPTION
[0028] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0029] The working step time described in this application is the time taken by production factors such as personnel and equipment to jointly execute the production process in the working step, and its calculation standard is formulated by production process standards, on-site measurements, and production management rules; the dynamic coefficient of production factors such as personnel, equipment, and environment is a value within the fluctuation range after rule evaluation and calculation, and its calculation and range limitation are determined by production information data and enterprise management evaluation rules; the development and implementation of the working time calculation model function module have been completed by existing 3D modeling animation development, 3D engine logic development, software development and other tools. The specific modeling and development process is not the main purpose of the present invention, so it will not be described in detail here.
[0030] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0031] See also Figure 1-3 , a time calculation system, such as Figure 1 As shown, including:
[0032] Work step information module, used to store and manage work step information;
[0033] A dynamic coefficient calculation module, which is used to process the information data of production factors and calculate the dynamic change coefficient of production factor data and process step time based on production management rules, including a data processing module, a rule method module and a coefficient calculation module;
[0034] The digital twin calculation module includes a digital twin model module, a work step sequence configuration module, and a working time calculation and verification module. The work step sequence configuration module configures the work step information that needs to be calculated in the work step information module to generate a work step information sequence; the working time calculation and verification module parses the information in the generated work step information sequence, calculates the working time of the work step information sequence and the logical process and time allocation of the collaborative operation of production factors, and loads and calls the three-dimensional model, action and logic components of the production factors in the digital twin model module to simulate and verify the work step sequence execution process and the working time calculation results.
[0035] The information in the generated work step information sequence includes production factor items, action items, time items, and dynamic coefficient items.
[0036] The work step sequence configuration module selects the information in the work step information module to configure the work step information sequence. The work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.
[0037] The digital twin model module is used to organize and manage the digital twin model. The digital twin model includes a digital twin model constructed for the production factors in the work step information; the digital twin model includes a three-dimensional model component, a model action component, and a logic control component; the three-dimensional model component is a three-dimensional model file of a production factor with a physical entity; the model action component is an action file or other similar module that can drive the three-dimensional model component to simulate work step operations or runs; the logic control component is a program script or other similar module that describes and controls the attribute methods and behavior logic of the digital twin model of production factors.
[0038] The data processing module processes production information data, including the systems and data of production planning, production execution, work order management, equipment management, personnel information, and environmental monitoring.
[0039] The rule method module converts rules and formulates calculation methods for the enterprise's production and operation management rule information data, including interpreting and converting the enterprise's business management system, workshop production management methods, and process production technology document information data and formulating calculation rules.
[0040] The coefficient calculation module calculates the dynamic coefficient of working hours and its fluctuation range. Based on the data processed by the data processing module and the rule method of the rule calculation module, it calculates the dynamic coefficient and fluctuation range of the impact of changes in production factor information data on working step time. The production factor coefficient includes personnel coefficient, equipment coefficient, environmental coefficient, and quantity coefficient.
[0041] The work step information is the decomposition information of the process steps of the process processing operation, including the operator, operation equipment, operation tools, operation actions, operation time information and data performing the work step.
[0042] The present application also includes a method for calculating working hours, comprising the following steps:
[0043] Based on the production management, technical requirements and actual production process of the workpiece, the production factors, process steps and process time involved in the execution of the processing process are decomposed into process step information according to the principles of distinguishability, measurability, evaluation and data description, and the process step information module is constructed;
[0044] Construct a dynamic coefficient calculation module to obtain the personnel, equipment, work order, and workshop environment monitoring data information in the production information system. According to the enterprise production management evaluation rules, workshop production operation rules and other management and evaluation methods, analyze the impact of personnel, equipment, tools, and quantity information data status changes on the workpiece production step time during the execution of production operations, formulate calculation and evaluation rules, and calculate the dynamic change coefficient of personnel, equipment, environment, and quantity factors affecting the work step time;
[0045] Build a digital twin computing module, perform three-dimensional modeling based on production scenarios, production factors, and process actions, and build a digital twin model module, work step sequence configuration module, and working time calculation and verification module corresponding to the information in the work step information module.
[0046] The work step sequence configuration module selects the information in the work step information module to configure the work step information sequence. The work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.
[0047] In another specific embodiment:
[0048] 1. If Figure 2 As shown in the figure, a production operation scenario of the manual dynamic balancing process in the production and manufacturing process of a rotating workpiece:
[0049] The production factors in this scenario mainly include pre-welding workpieces, handling equipment, dynamic balancing equipment, workers, counterweights, welding equipment, and production information systems and data such as MDC and MES.
[0050] like Figure 2 , Figure 3As shown, the main operation process of this scene is to manually operate the handling equipment to move the workpiece before welding to the dynamic balancing equipment and clamp it in place, then operate the dynamic balancing machine to detect the imbalance of the workpiece such as eccentricity and vibration according to the workpiece design technical process requirements, calibrate the imbalance parameter results, operate the handling equipment to unclamp the workpiece from the dynamic balancing equipment and then move it to the welding area, select the counterweight block according to the calibration and weld it to the workpiece with the welding equipment.
[0051] This operation scenario is typical in which factors such as personnel experience, equipment status, and on-site environment have a significant impact on the production time of workpieces. It is difficult to accurately calculate and evaluate production hours, which is a pain point in workshop production process management.
[0052] 2. If Figure 2 , Figure 3 As shown, the step information module corresponding to the dynamic balancing process steps is analyzed and constructed:
[0053] 2.1. Based on the production operation scenario, according to the production management rules, workpiece processing technical requirements and actual production conditions, according to the information principles and requirements such as distinguishability, measurability and data description, it is decomposed into multiple standard operation process step information: the process of production execution is divided into standard step information S1-S5, step action logic description A1-A5, step production factors E1-E5, step time T1-T5, etc.;
[0054] 2.2. Based on the above information, build a work step information module in development environments such as visual studio, c#, mysql, etc. This module organizes and manages the data of S1-S5, A1-A5, E1-E5, T1-T5, etc. by means of data entry and structuring;
[0055] 3. If Figure 1 As shown, build a dynamic coefficient calculation module in development environments such as visual studio and MySQL:
[0056] 3.1. Build a data processing module to obtain data from the production information system or related database through data interfaces or protocols, such as production planning, production execution, work order management, equipment management, personnel information, environmental monitoring, etc., and perform data processing such as classification and conversion:
[0057] 3.2. Constructing the data processing module Constructing the rule method module, referring to the enterprise management system, workshop production organization management method, process production technical documents, production data, personnel performance and other management evaluation methods to interpret and compare the factors affecting working hours, analyze and convert them, and formulate calculation rule formulas:
[0058] 3.3. Construct a dynamic coefficient calculation module. Based on the processed data and calculation rule formula, calculate the impact of changes in production factor information data such as personnel, equipment, environment, number of workpieces, etc. on the step time, determine and calculate the fluctuation range and dynamic coefficient value:
[0059] The personnel coefficient Mv=Mg*Ms is calculated based on the operator's age, length of service, job title, skill level, production log report data, and workshop production evaluation rules, where the personnel level Mg=[0.7, 1.2] and the skill level Ms=[0.8, 1.2];
[0060] The equipment coefficient Dv = Da * Dp is calculated based on the availability, equipment comprehensive efficiency and fluctuation curve of the handling equipment, dynamic balancing machine, welding equipment and other related data obtained from the equipment management system, equipment data acquisition system and other systems, as well as the workshop production management evaluation rules, where the equipment availability Da = {0, 1}, and the equipment comprehensive efficiency Dp = [0.7, 0.95];
[0061] The environmental coefficient Ev = Et*Eh*El is calculated based on the on-site environmental data, such as temperature, humidity, lighting conditions and workshop production management rules, where the temperature coefficient Et = [0.8, 1], the humidity coefficient Eh = [0.9, 1], and the lighting coefficient El = [0.7, 1];
[0062] Based on the statistical data and work report data of work order execution and production log obtained in the production execution system, data processing is performed according to the rules to calculate the time loss coefficient Nv=[1,1.35] caused by the production resource adaptation problem caused by too large or too small batch number of workpieces;
[0063] 4. Figure 2 , Figure 3 As shown in the figure, a digital twin computing module is constructed based on the production operation scenario and work step information:
[0064] 4.1. Carry out 1:1 3D modeling and action production of physical entities of production factors such as personnel, equipment, and workpieces in 3D modeling software solidEdge and 3ds max, and import them into the 3D image engine development tool unity 3d development tool through fbx file format;
[0065] 4.2. Use the resource and scene management functions in the unity 3D development environment to divide and structure the model files and action trajectories into production factor 3D model components and model action components, corresponding to the S1-S5 work step information; corresponding to the work step action logic description A1-A5 of production factors such as personnel, workpieces, and equipment in the S1-S5 work step information, and develop C# program logic control components that describe and control the digital twin model based on API methods such as component() and tansform();
[0066] 4.4. In the Unity 3D development environment, develop a work step sequence configuration module, which selects S1-S5 work step information from the work step information module for combined configuration, such as personnel selection, work step selection, etc., to generate the work step combination sequence information required for man-hour calculation;
[0067] 4.5. Develop a C# program for the man-hour calculation and verification module in the visual studio and unity 3D development environments, and perform production factor analysis and dynamic coefficient item analysis on the configured work step sequence information to calculate the man-hour: Analyze the work step sequence information and determine the coefficient items, obtain the personnel coefficient Mv, equipment coefficient Dv, environment coefficient Ev, and quantity coefficient Nv from the dynamic coefficient calculation module, and perform the total man-hour T calculation, where the coefficient items and calculation positions are selected or adjusted according to the work step information analysis:
[0068] T=(∑ i∈{1,2,..,n} (T(i)*Dv(i)*Ev(i)*Mv(i)))*Nv;
[0069] 4.6. Based on the time calculation and information analysis results of each work step, the digital twin model of the production factors in the digital twin model module is called for virtual verification according to the execution order and the production factors participating in the work step execution process: the corresponding work step combination sequence information is analyzed, and the corresponding three-dimensional model components, model action components and logic control components of the personnel, equipment and tools are called to execute the work step actions, and the operation process is virtually restored in sequence. When errors occur in the logical process relationship, checks are performed, such as the workpiece must be operated by personnel and handling equipment to change its position with the equipment, the storage area must match the number of workpieces, the welding step time ratio is abnormal, etc.
[0070] The above-mentioned embodiments only express the specific implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the protection scope of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the technical solution concept of the present application, and these all belong to the protection scope of the present application.
Claims
1. A working time calculation system, characterized in that: include: Work step information module, used to store and manage work step information; A dynamic coefficient calculation module, which is used to process the information data of production factors and calculate the dynamic change coefficient of production factor data and process step time based on production management rules, including a data processing module, a rule method module and a coefficient calculation module; The digital twin calculation module includes a digital twin model module, a work step sequence configuration module, and a working time calculation and verification module. The work step sequence configuration module configures the work step information that needs to be calculated in the work step information module to generate a work step information sequence; the working time calculation and verification module parses the information in the generated work step information sequence, calculates the working time of the work step information sequence and the logical process and time allocation of the collaborative operation of production factors, and loads and calls the three-dimensional model, action and logic components of the production factors in the digital twin model module to simulate and verify the work step sequence execution process and the working time calculation results.
2. A working time calculation system according to claim 1, characterized in that: The work step sequence configuration module selects the information in the work step information module to configure the work step information sequence. The work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.
3. A working time calculation system according to claim 2, characterized in that: The digital twin model module is an organization management digital twin model, and the digital twin model includes a digital twin model constructed for the production factors in the work step information; the digital twin model includes a three-dimensional model component, a model action component, and a logic control component; the three-dimensional model component is a three-dimensional model file of a production factor with a physical entity; the model action component is an action file or other similar modules that can drive the three-dimensional model component to simulate the work step operation or operation; The logic control component is a program script or other similar module that describes and controls the properties, methods and behavior logic of the digital twin model of production factors.
4. A working time calculation system according to claim 1, characterized in that: The information in the generated work step information sequence includes production factor items, action items, time items, and dynamic coefficient items.
5. A working time calculation system according to claim 1, characterized in that: The data processing module processes production information data, including processing systems and data for production planning, production execution, work order management, equipment management, personnel information, and environmental monitoring.
6. A working time calculation system according to claim 5, characterized in that: The rule method module performs rule conversion and calculation method formulation on the enterprise production operation management rule information data, including interpreting and converting the enterprise management system, workshop production management methods, and process production technology document information data and formulating calculation rules.
7. A working time calculation system according to claim 6, characterized in that: The coefficient calculation module calculates the dynamic coefficient of working hours and its fluctuation range. Based on the data processed by the data processing module and the rule method of the rule calculation module, it calculates the dynamic coefficient and fluctuation range of the impact of changes in production factor information data on the working step time. The production factor coefficient includes personnel coefficient, equipment coefficient, environmental coefficient, and quantity coefficient.
8. A working time calculation system according to claim 1, characterized in that: The work step information is decomposed information of the process steps of the process processing, including the operator, work equipment, work tools, work actions, work time information and data performing the work step.
9. A method for calculating working hours, characterized in that: The following steps are involved: Based on the production management, technical requirements and actual production process of the workpiece, the production factors, process steps and process time involved in the execution of the processing process are decomposed into process step information according to the principles of distinguishability, measurability, evaluation and data description, and the process step information module is constructed; Construct a dynamic coefficient calculation module to obtain the personnel, equipment, work order, and workshop environment monitoring data information in the production information system. According to the enterprise production management evaluation rules, workshop production operation rule management and evaluation methods, analyze the impact of personnel, equipment, tools, and quantity information data status changes on the workpiece production step time during the execution of production operations, formulate calculation and evaluation rules, and calculate the dynamic change coefficient of personnel, equipment, environment, and quantity factors affecting the work step time; Build a digital twin computing module, perform three-dimensional modeling based on production scenarios, production factors, and process actions, and build a digital twin model module, work step sequence configuration module, and working time calculation and verification module corresponding to the information in the work step information module.
10. A method for calculating working hours according to claim 9, characterized in that: The work step sequence configuration module selects the information in the work step information module to configure the work step information sequence. The work time calculation and verification module performs work step work time calculation and work step information logic analysis on the configured work step information sequence, and calls the production factor digital twin model of the digital twin model module to verify the work step sequence action process and time allocation.