Railway wagon process data model establishment method and device, medium and equipment
By establishing a railway truck process data model, the problem that enterprises cannot standardize process data standards is solved, the convenient transmission of process data between different departments and the rapid calculation of key indicators of the enterprise is achieved, and the quality of digital transformation of railway enterprises is improved.
Patent Information
- Application Number
- CN202411453197.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2025-02-11
AI Technical Summary
Railway truck companies are unable to standardize process data standards, which makes process data inconvenient to reference and transmit between different departments, affecting the quality of digital transformation.
By obtaining the standard process design process information of railway freight trucks, determining the initial process data catalog, updating it to the target process data catalog, and creating an index calculation model for key indicators, and finally creating a railway freight truck process data model.
It realizes convenient reference and transmission of process data between different departments, improves the quality of digital transformation of railway enterprises, and supports the rapid calculation and optimization of key business indicators.
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Figure CN119416351A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of railway freight car process data, and in particular to a method, device, medium and equipment for establishing a railway freight car process data model. Background Art
[0002] At present, many companies are accelerating the process of digital transformation. One of the core of digital transformation is data. For discrete manufacturing companies, core data should cover the entire life cycle of products, such as R&D design, production and manufacturing, sales, operation and maintenance services, etc. For railway freight cars, process data runs through the entire manufacturing process of products and is a key source of digital transformation data.
[0003] For manufacturing enterprises, process data is mainly encapsulated in process files, which makes the process data relatively isolated and not conducive to its use in production and operation activities. For group enterprises, the granularity of process data refinement is inconsistent during the process design of each subsidiary, which is not conducive to process benchmarking, process integration and data governance.
[0004] Based on this, it is necessary to establish a unified process data model to support the collaborative work of various departments, standardize process data standards, facilitate the reference and transmission of process data between different departments, and thereby improve the quality of digital transformation of railway enterprises. Summary of the invention
[0005] In response to the problems existing in the prior art, the embodiments of the present invention provide a method, device, medium and equipment for establishing a railway freight car process data model, so as to solve or partially solve the technical problems in the prior art that railway freight car enterprises are unable to standardize process data standards, process data are inconvenient to reference and transmit among different departments, thereby affecting the quality of digital transformation of railway enterprises.
[0006] A first aspect of the present invention provides a method for establishing a railway freight car process data model, the method comprising:
[0007] Obtaining standard process design process information for railway freight cars, and determining an initial process data directory according to the standard process design process information;
[0008] Determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key indicators of enterprise operation, and use the first reference process data and the second reference process data to update the initial process data directory to obtain the target process data directory;
[0009] Creating a corresponding indicator calculation model for the key indicator;
[0010] A railway freight car process data model is created according to the target process data catalog and the indicator calculation model.
[0011] In the above solution, the step of determining the initial process data directory according to the standard process design flow information includes:
[0012] Determine the process work content information according to the standard process design flow information;
[0013] Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory;
[0014] Corresponding process data attributes are set for the primary target and the secondary directory to form the initial process data directory.
[0015] In the above solution, the use of the first reference process data and the second reference process data to update the initial process data directory to obtain a target process data directory includes:
[0016] Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory;
[0017] In the initial process catalog, a business department attribute is set for the first reference process data, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain the target process data catalog.
[0018] In the above scheme, the key indicators include cost, efficiency, quality and energy consumption; wherein the cost includes material cost, labor cost and manufacturing cost.
[0019] In the above scheme, the material cost includes: the main material quota summary of the material product, the auxiliary material quota summary of the product, and the material utilization rate of the product; the corresponding indicator calculation model is created for the key indicator, including:
[0020] When the key indicator is determined to be the product main material quota summary, the indicator calculation model is: product main material quota summary = the sum of all main material quotas of product parts;
[0021] When the key indicator is determined to be product material utilization rate, the indicator calculation model is: product material utilization rate = (product net weight / product main material quota) × 100%;
[0022] When the key indicator is determined to be the product auxiliary material quota summary, the indicator calculation model is: product auxiliary material quota summary = the sum of all process auxiliary material quotas.
[0023] In the above solution, the labor cost includes: the summary cost of personnel configuration and the summary cost of standard operation time; the corresponding indicator calculation model is created for the key indicator, including:
[0024] When the key indicator is determined to be the personnel configuration summary cost, the indicator calculation model includes: personnel configuration summary cost = the sum of configuration costs of all workstation personnel;
[0025] When the key indicator is determined to be the standard operation time summary cost, the indicator calculation model includes: standard operation time of each workstation×number of workstations.
[0026] In the above solution, the manufacturing cost includes: the production cycle and the number of production line stations; the corresponding indicator calculation model is created for the key indicator, including:
[0027] When the key indicator is determined to be the production rhythm, the indicator calculation model includes: production rhythm = daily effective operation time / daily product production quantity;
[0028] When it is determined that the key indicator is the summary of the number of production line stations, the indicator calculation model includes: the summary of the number of production line stations = Σ (production line process × number of stations).
[0029] In the above solution, the step of creating a railway freight car process data model according to the target process data catalog and the index calculation model includes:
[0030] For each key indicator, the name of each key indicator in the target process data catalog is associated with the indicator calculation model to obtain a railway freight car process data model.
[0031] A second aspect of the present invention provides a device for establishing a railway freight car process data model, the device comprising:
[0032] A first determining unit is used to obtain standard process design process information for railway freight cars, and determine an initial process data catalog according to the standard process design process information;
[0033] An updating unit, used to determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key indicators of enterprise operation, and to update the initial process data directory using the first reference process data and the second reference process data to obtain a target process data directory;
[0034] A creation unit, used for obtaining the key indicators that each process radiation department needs to determine, and creating a corresponding indicator calculation model for the key indicators;
[0035] The second determination unit is used to create a railway freight car process data model according to the target process data catalog and the indicator calculation model.
[0036] In the above solution, the first determining unit is specifically used for:
[0037] Determine the process work content information according to the standard process design flow information;
[0038] Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory;
[0039] Corresponding process data attributes are set for the primary target and the secondary directory to form the initial process data directory.
[0040] In the above solution, the updating unit is specifically used for:
[0041] Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory;
[0042] In the initial process catalog, a business department attribute is set for the first reference process data, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain the target process data catalog.
[0043] According to a third aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods described in the first aspect are implemented.
[0044] According to a fourth aspect of the present invention, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any one of the methods described in the first aspect are implemented.
[0045] The present invention provides a method, device, medium and equipment for establishing a railway freight car process data model, the method comprising: obtaining standard process design process information of railway freight cars, determining an initial process data catalog according to the standard process design process information; determining first reference process data required by each process radiation department and second reference process data required by key indicators of enterprise operation, updating the initial process data catalog using the first reference process data and the second reference process data to obtain a target process data catalog; creating corresponding indicator calculation models for the key indicators; creating a railway freight car process data model according to the target process data catalog and the indicator calculation model; in this way, the standard process design process information is converted into a process data catalog, and then the data used by the process radiation departments (such as the quality department and the enterprise operation department) are also added to the process data catalog, so that the data used by each department can be queried in the process data catalog; facilitating the reference and transfer of process data between different departments; and when the enterprise operation department needs to determine some key indicators, the corresponding data can be directly called from the process data catalog according to the indicator calculation model for calculation, thereby further improving the quality of the digital transformation of the railway enterprise. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0047] Figure 1 A schematic diagram of a method for establishing a railway freight car process data model according to an embodiment of the present invention is shown;
[0048] Figure 2 A schematic diagram showing the logic implementation principle of a process data model according to an embodiment of the present invention is shown;
[0049] Figure 3 A schematic diagram of the structure of a device for establishing a railway freight car process data model according to an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0050] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0051] The present invention provides a method for establishing a railway freight car process data model. Figure 1 As shown, the method mainly includes the following steps:
[0052] S110, obtaining standard process design flow information for railway freight cars, and determining an initial process data directory according to the standard process design flow information.
[0053] In one embodiment, determining the initial process data directory according to the standard process design flow information includes:
[0054] Determine the process work content information based on the standard process design flow information;
[0055] Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory;
[0056] The corresponding process data attributes are set for the secondary directory to form the initial process data directory.
[0057] Specifically, when designing railway freight cars, there are corresponding standard process design flow information for different types of railway freight cars, and then the marked process design flow information can be parsed to obtain process work content information. Among them, the process work content information can be shown in Table 1:
[0058] Table 1
[0059]
[0060] The process work content information can then be used as a first-level directory.
[0061] Then, the content information of each process work is sorted out to obtain a list of process data contained in the process work content information. The process data list is then used as a secondary directory to ultimately form an initial process data directory.
[0062] For example, if Figure 2 As shown, assuming that the process work content information includes: process scheme design, process route design process and process quota design, then the process scheme design, process route design and process quota design can be used as the first-level directory.
[0063] Taking process route design as an example, the process data list involved in process route design includes: material code, material name, process route code, process route name, process number, etc.; therefore, the secondary directory corresponding to the design in the process record is material code, material name, process route code, process route name, process number, etc.
[0064] Similarly, when the process work content information is process review, the corresponding process data list includes: product name, product drawing number, review object, process classification, product manufacturing labor, unit product material usage, material utilization coefficient, product process cost, processing accuracy coefficient, surface roughness coefficient, structural inheritance coefficient, structural standardization coefficient, process review opinion, process review record, etc.
[0065] Furthermore, as shown in Table 2, it is also necessary to set corresponding process attributes for the primary directory and the secondary directory to obtain an initial process data directory.
[0066] For example, when the first-level directory is process review, the process attributes set for the process review are business activity descriptions; the process attributes of the process data list may include: process data name, process data type, process data threshold, measurement unit, value length, etc.
[0067] Table 2
[0068] Process work content information Description of business activities Process data name Process data type Process data threshold Units of measurement Value length Processability review Product Name Product drawing number Subject of review Process classification Product manufacturing labor Material usage per unit product Material utilization factor Process cost of product Processing accuracy coefficient Surface roughness coefficient Structural inheritance coefficient Structural Standardization Coefficient Processability review opinion Processability review records
[0069] In Table 2, the business activity description corresponding to the processability review can be: providing processability review opinions based on product structure, manufacturing type, manufacturing cost, maintainability, etc.
[0070] Process data types include: character type, numeric type, date type, document type and enumeration type.
[0071] For the process data threshold, if the process data type is a numeric type, the process data threshold is the corresponding threshold range (including the maximum value and the minimum value); if the process data type is an enumeration type, the process data threshold includes all enumeration values.
[0072] The measurement unit can be yuan, kg, m / s, etc. The value length can be 25 characters or unlimited.
[0073] After filling in reference 2 according to the actual values of the process data, the initial process data directory is shown in Table 3:
[0074] Table 3
[0075]
[0076] S111, determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key operating indicators of the enterprise, use the first reference process data and the second reference process data to update the initial process data directory to obtain the target process data directory.
[0077] In order to facilitate the use of process data by various process radiation departments and to facilitate the rapid determination of key business indicators of the enterprise, it is also necessary to determine the first reference process data required by the process radiation department and the second reference process data corresponding to the key business indicators of the enterprise, and use the first reference process data and the second reference process data to update the initial process data directory to obtain the target process data directory.
[0078] In one embodiment, the initial process data directory is updated using the first reference process data and the second reference process data to obtain a target process data directory, including:
[0079] Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory;
[0080] A business department attribute is set for the first reference process data in the initial process catalog, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain a target process data catalog.
[0081] Furthermore, if it is determined that the reference process data exists in the initial process data directory, the business department attribute is directly set in the initial process directory, so that all required first reference process data can be filtered out according to the business department name and required second reference process data can be filtered out according to the key indicator name.
[0082] refer to Figure 2 , the process radiation departments include: quality department, procurement department, production department, finance department, etc. For example, for the quality department, the first reference process data to be used include: part name, part code, process route name, process route code, process name, process number, inspection content, inspection standard, inspection items, inspection means, inspection frequency, etc. For the production department, the first reference process data to be used include: material code, material name, process route name and process route code, etc.
[0083] Since department attributes need to be reflected in the process data catalog, a column of business department attributes can be added to the initial process catalog recorded in Table 2. If the reference process data already exists in Table 2, the business department can be directly assigned to the corresponding reference process data, which can facilitate the business department to call the required process data later.
[0084] If the reference process data has not been recorded in Table 2, then the first reference process data needs to be added to Table 2, and a suitable primary directory needs to be associated with the first reference process data using manual experience.
[0085] Taking the quality department as an example, since the process route name and process route code already exist in the initial process data directory, you can fill in "Quality Department" in the business department attributes corresponding to the process route and process route code.
[0086] It should be noted that if a reference process data corresponds to multiple business departments at the same time, for example, the process route corresponds to both the quality department and the procurement department, then "Quality Department and Procurement Department" can be filled in the business department attributes corresponding to the process route.
[0087] Similarly, in practical applications, some process radiation departments need to calculate key indicators related to business operations (such as the financial department). In order to improve the calculation efficiency of key indicators, the present invention can obtain the second reference process data corresponding to the key indicators of business operations. If the second reference process data already exists in the initial process catalog, a column of indicator attributes is directly added to the initial process catalog loaded in Table 2.
[0088] Add the second reference process data to the initial process catalog. Since the indicator attributes need to be reflected in the process data catalog, a column of indicator attributes can be added to the initial process catalog recorded in Table 2. If the second reference process data already exists in Table 2, the corresponding indicator name can be directly assigned to the second reference process data in the indicator attribute column, and the required second reference process data can be conveniently called according to the indicator name later.
[0089] If the second reference process data has not been recorded in the initial process data directory, the second reference process data needs to be added to Table 2, and manual experience needs to be used to associate a suitable first-level directory for the second reference process data, and then the corresponding indicator name is assigned to the second reference process data in the indicator attribute column.
[0090] Among them, the final target process data directory can be shown in Table 4:
[0091] Table 4
[0092]
[0093] In this way, it is equivalent to updating the initial process data directory using the first reference process data required by all process radiation departments and the second reference process data corresponding to the key indicators to obtain the target process data directory. All process data required by the process radiation department and all process data required by the key indicators can be found in the target process data directory, which not only facilitates the reference and transfer of process data between different departments, but also improves the efficiency of the process radiation department in obtaining process data and the calculation efficiency of key indicators.
[0094] S112: Create a corresponding indicator calculation model for the key indicator.
[0095] In order to further improve the calculation efficiency of key indicators, the present invention creates a corresponding calculation model for each key indicator.
[0096] Among them, reference Figure 2 , key indicators include cost, efficiency, quality and product material utilization.
[0097] Costs include material costs, labor costs and manufacturing costs; material costs include the summary of product main material quotas, product auxiliary material quotas and product material utilization rates; labor costs include: summary costs of staffing and summary costs of standard operating time; manufacturing costs include: summary of production rhythm and number of production line workstations.
[0098] Efficiency includes: labor productivity and production line balance rate.
[0099] Quality includes: quality control points and quality control costs.
[0100] Energy consumption includes: energy consumption per unit product and carbon footprint.
[0101] Taking the key indicator cost as an example, in one implementation, a corresponding indicator calculation model is created for the key indicator, including:
[0102] When the key indicator is determined to be the product main material quota summary, the indicator calculation model is: product main material quota summary = the sum of all main material quotas of product parts;
[0103] When the key indicator is determined to be product material utilization rate, the indicator calculation model is: product material utilization rate = (product net weight / product main material quota) × 100%.
[0104] When the key indicator is determined to be the product auxiliary material quota summary, the indicator calculation model is: product auxiliary material quota summary = the sum of all process auxiliary material quotas.
[0105] Among them, main materials refer to the main raw materials, and the main material quota refers to the weight of the main raw materials. Auxiliary materials refer to auxiliary raw materials, and the auxiliary material quota refers to the weight of auxiliary raw materials.
[0106] In one embodiment, the labor cost includes: personnel configuration summary cost and standard operation time summary cost; the creating a corresponding indicator calculation model for the key indicator includes:
[0107] When the key indicator is determined to be the personnel configuration summary cost, the indicator calculation model includes: personnel configuration summary cost = the sum of configuration costs of all workstation personnel;
[0108] When the key indicator is determined to be the standard operation time summary cost, the indicator calculation model includes: standard operation time of each workstation×number of workstations.
[0109] In one embodiment, the manufacturing cost includes: a summary of the production cycle and the number of production line stations; the creation of a corresponding indicator calculation model for the key indicator includes:
[0110] When the key indicator is determined to be the production rhythm, the indicator calculation model includes: production rhythm = daily effective operation time / daily product production quantity;
[0111] When it is determined that the key indicator is the summary of the number of production line stations, the indicator calculation model includes: the summary of the number of production line stations = Σ (production line process × number of stations).
[0112] In this way, a corresponding calculation model can be determined for each key indicator.
[0113] S113, creating a railway freight car process data model according to the target process data catalog and the indicator calculation model.
[0114] In one embodiment, creating a railway freight car process data model according to a target process data catalog and an indicator calculation model includes:
[0115] For each key indicator, the name of each key indicator in the target process data catalog is associated with the indicator calculation model to obtain a railway freight car process data model.
[0116] In practical applications, values can be assigned in the target process data directory according to the specific parameters involved in the actual railway freight car. When the process radiation department needs to use the relevant process data, the "department name (such as the quality department)" can be entered on the human-machine interface. The present invention can then search in the process data model based on the "department name" and output the corresponding first reference process data.
[0117] When the process radiation department needs to calculate a key indicator, it can enter the "key indicator name (such as product material utilization rate)". The present invention can search for the corresponding second reference process data in the process data model based on the "key indicator name", and call the corresponding calculation model, assign the second reference process data to the calculation model, and thus output the product material utilization rate.
[0118] It can be seen that the standard process design flow information of the present invention is converted into a process data catalog, and then the data used by the process radiation departments (such as the quality department and the business operation department) are also added to the process data catalog, which is equivalent to that the data used by each department can be queried in the process data catalog; it is convenient for process data to be referenced and transferred between different departments; and when the business operation department needs to determine some key indicators, it can directly call the corresponding data from the process data catalog for calculation according to the indicator calculation model, which further improves the quality of the digital transformation of railway enterprises.
[0119] Based on the same inventive concept as in the above-mentioned embodiment, this embodiment also provides a device for establishing a railway freight car process data model and a device for detecting a camera module test environment, such as Figure 3 As shown, the device comprises:
[0120] The first determining unit 31 is used to obtain standard process design flow information of railway freight cars and determine an initial process data directory according to the standard process design flow information;
[0121] An updating unit 32 is used to determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key indicators of enterprise operation, and to update the initial process data directory using the first reference process data and the second reference process data to obtain a target process data directory;
[0122] A creation unit 33 is used to obtain the key indicators that each process radiation department needs to determine, and create a corresponding indicator calculation model for the key indicators;
[0123] The second determining unit 34 is used to create a railway freight car process data model according to the target process data catalog and the indicator calculation model.
[0124] In one implementation, the first determining unit 31 is specifically configured to:
[0125] Determine the process work content information according to the standard process design flow information;
[0126] Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory;
[0127] Corresponding process data attributes are set for the primary target and the secondary directory to form the initial process data directory.
[0128] In one implementation, the updating unit 32 is specifically configured to:
[0129] Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory;
[0130] In the initial process catalog, a business department attribute is set for the first reference process data, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain the target process data catalog.
[0131] Since the device introduced in the embodiment of the present invention is a device used to implement the method for establishing a railway freight car process data model in the embodiment of the present invention, based on the method introduced in the embodiment of the present invention, the person skilled in the art can understand the specific structure and deformation of the device, so it is not described here. All devices used in the method of the embodiment of the present invention belong to the scope of protection of the present invention.
[0132] Based on the same inventive concept, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any step of the method described above when executing the computer program.
[0133] Based on the same inventive concept, this embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the methods described above are implemented.
[0134] Through one or more embodiments of the present invention, the present invention has the following beneficial effects or advantages:
[0135] The present invention provides a method, device, medium and equipment for establishing a railway freight car process data model, the method comprising: obtaining standard process design process information of railway freight cars, determining an initial process data catalog according to the standard process design process information; determining first reference process data required by each process radiation department and second reference process data required by key indicators of enterprise operation, updating the initial process data catalog using the first reference process data and the second reference process data to obtain a target process data catalog; creating corresponding indicator calculation models for the key indicators; creating a railway freight car process data model according to the target process data catalog and the indicator calculation model; in this way, the standard process design process information is converted into a process data catalog, and then the data used by the process radiation departments (such as the quality department and the enterprise operation department) are also added to the process data catalog, so that the data used by each department can be queried in the process data catalog; facilitating the reference and transfer of process data between different departments; and when the enterprise operation department needs to determine some key indicators, the corresponding data can be directly called from the process data catalog according to the indicator calculation model for calculation, thereby further improving the quality of the digital transformation of the railway enterprise.
[0136] At the same time, the present invention also has the following advantages:
[0137] (1) Use process data to achieve quantifiable application of key indicators of typical products. For example, through statistical summary and other methods, process indicators such as personnel allocation and material utilization can be directly calculated. By analyzing quantified process indicators and related process data, bottlenecks and inefficient links in the process can be identified, and optimization can be carried out to improve efficiency and reduce costs.
[0138] (2) Support the work of other process radiation departments. The process data model can be used to calculate the process data required by other departments, and the data can be quickly exported or transferred to other business departments through integration.
[0139] (3) Standardize process data standards. By establishing a data model, unifying the definition of process data attributes, and standardizing the process data establishment standards, it is convenient to reference and transfer data, which also meets the overall requirements of data governance.
[0140] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for establishing a railway freight car process data model, characterized in that: The method comprises: Obtaining standard process design process information for railway freight cars, and determining an initial process data directory according to the standard process design process information; Determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key indicators of enterprise operation, and use the first reference process data and the second reference process data to update the initial process data directory to obtain the target process data directory; Creating a corresponding indicator calculation model for the key indicator; A railway freight car process data model is created according to the target process data catalog and the indicator calculation model.
2. The method according to claim 1, characterized in that The determining of the initial process data directory according to the standard process design flow information includes: Determine the process work content information according to the standard process design flow information; Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory; Corresponding process data attributes are set for the primary target and the secondary directory to form the initial process data directory.
3. The method according to claim 1, characterized in that The updating of the initial process data directory by using the first reference process data and the second reference process data to obtain a target process data directory includes: Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory; In the initial process catalog, a business department attribute is set for the first reference process data, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain the target process data catalog.
4. The method according to claim 1, characterized in that The key indicators include cost, efficiency, quality and energy consumption; wherein the cost includes material cost, labor cost and manufacturing cost.
5. The method according to claim 4, characterized in that The material cost includes: the main material quota summary of the material product, the auxiliary material quota summary of the product, and the material utilization rate of the product; the corresponding indicator calculation model is created for the key indicator, including: When the key indicator is determined to be the product main material quota summary, the indicator calculation model is: product main material quota summary = the sum of all main material quotas of product parts; When the key indicator is determined to be product material utilization rate, the indicator calculation model is: product material utilization rate = (product net weight / product main material quota) × 100%; When the key indicator is determined to be the product auxiliary material quota summary, the indicator calculation model is: product auxiliary material quota summary = the sum of all process auxiliary material quotas.
6. The method according to claim 4, characterized in that The labor cost includes: the summary cost of personnel configuration and the summary cost of standard operation time; the corresponding indicator calculation model is created for the key indicator, including: When the key indicator is determined to be the personnel configuration summary cost, the indicator calculation model includes: personnel configuration summary cost = the sum of configuration costs of all workstation personnel; When the key indicator is determined to be the standard operation time summary cost, the indicator calculation model includes: standard operation time of each workstation×number of workstations.
7. The method according to claim 4, characterized in that The manufacturing cost includes: the production cycle and the number of production line stations; the corresponding indicator calculation model is created for the key indicators, including: When the key indicator is determined to be the production rhythm, the indicator calculation model includes: production rhythm = daily effective operation time / daily product production quantity; When it is determined that the key indicator is the summary of the number of production line stations, the indicator calculation model includes: the summary of the number of production line stations = Σ (production line process × number of stations).
8. The method according to claim 1, characterized in that The step of creating a railway freight car process data model according to the target process data catalog and the index calculation model includes: For each key indicator, the name of each key indicator in the target process data catalog is associated with the indicator calculation model to obtain a railway freight car process data model.
9. A device for establishing a railway freight car process data model, characterized in that: The device comprises: A first determining unit is used to obtain standard process design process information for railway freight cars, and determine an initial process data catalog according to the standard process design process information; An updating unit, used to determine the first reference process data required by each process radiation department and the second reference process data corresponding to the key indicators of enterprise operation, and to update the initial process data directory using the first reference process data and the second reference process data to obtain a target process data directory; A creation unit, used for obtaining the key indicators that each process radiation department needs to determine, and creating a corresponding indicator calculation model for the key indicators; The second determination unit is used to create a railway freight car process data model according to the target process data catalog and the indicator calculation model.
10. The device according to claim 9, characterized in that The first determining unit is specifically configured to: Determine the process work content information according to the standard process design flow information; Taking the process work content information as the primary directory, obtaining the process data list corresponding to each process work content information, and taking the process data list as the secondary directory; Corresponding process data attributes are set for the primary target and the secondary directory to form the initial process data directory.
11. The device according to claim 9, characterized in that The updating unit is specifically used for: Determine whether the first reference process data and the second reference process data exist in the initial process data directory, and if not, add the first reference process data and the second reference process data to the initial process data directory; In the initial process catalog, a business department attribute is set for the first reference process data, and an indicator attribute is set for the second reference process data in the initial process catalog to obtain the target process data catalog.
12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.
13. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method according to any one of claims 1 to 8 are implemented.