Multi-dimensional platform data management method and related devices

Abstract

The application discloses a kind of multidimensional platform data management method and related equipment, belong to data management technical field, which comprises: in response to the platform login instruction triggered by user, the identity of user is identified, and the matching job data interface is shown according to user identity;In response to the job execution instruction triggered by user in job data interface, the job reporting data corresponding to user is obtained;Comprehensive job reporting data of all users, production management index is calculated according to different preset dimensions, complete multidimensional platform data management;Different preset dimensions include product dimension, organization dimension and project dimension.The application uses the reporting information of different posts as data source, constructs the production management index system under organization dimension, product dimension and project dimension, overcomes the problem of data fragmentation and inconsistency between multidimensional, improves the consistency and connectivity of data, realizes the data traceability of whole chain, effectively improves the efficiency of multidimensional platform data management.

Description

Technical Field

[0001] This application relates to the field of data management technology, and in particular to a multi-dimensional platform data management method and related equipment. Background Technology

[0002] Currently, digitalization and intelligentization have become important directions for the transformation and upgrading of data management platforms in the manufacturing industry.

[0003] In related technologies, data modeling and management are typically performed from a single dimension. However, in practical applications, it has been found that traditional system platform management methods suffer from problems such as fragmented and poorly integrated data management, and an inability to achieve unified traceability.

[0004] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0005] This application provides a multi-dimensional platform data management method and related equipment, which can overcome the problems of data fragmentation and inconsistency between multiple dimensions, improve data consistency and continuity, realize full-chain data traceability, and effectively improve the efficiency of multi-dimensional platform data management.

[0006] On the one hand, embodiments of this application provide a multi-dimensional platform data management method, the method comprising the following steps: In response to a platform login command triggered by a user, the system identifies the user and displays a matching job data interface based on the user's identity. In response to a job execution command triggered by a user on the job data interface, the system retrieves job reporting data corresponding to the user. By integrating all users' work reporting data, production management indicators are calculated based on different preset dimensions to complete multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

[0007] Optionally, the process of integrating all users' work reporting data and calculating production management indicators based on different preset dimensions to complete multi-dimensional platform data management includes: The system integrates all user work reporting data, which includes the operation time of each step, the number of completed workpieces, the number of qualified workpieces, the number of workpiece anomalies, and the user's work reporting actions. Based on the work reporting data of all users, a multi-dimensional data coordinate system is constructed; wherein, the multi-dimensional data coordinate system includes an organization-dimensional data coordinate system, a product-dimensional data coordinate system, and a project-dimensional data coordinate system; Based on the multidimensional data coordinate system, production management indicators are calculated according to the preset indicator calculation rules, thus completing the multidimensional platform data management.

[0008] Optionally, after calculating production management indicators based on the multidimensional data coordinate system and according to preset indicator calculation rules, and completing multidimensional platform data management, the method further includes: The aforementioned production management indicators are displayed through the dashboard interface; In response to a first operation command triggered by the user, detailed information of any production management indicator is displayed; wherein the first operation command is obtained by the user clicking on any production management indicator.

[0009] Optionally, the method further includes: In response to a second operation command triggered by the user, a target dimension is determined; wherein, the second operation command is obtained by the user clicking to switch preset dimensions and selecting any preset dimension; Based on the target dimension, update the production management indicator information displayed on the operation data interface and the Kanban sub-interface.

[0010] Optionally, the step of obtaining job reporting data corresponding to the user in response to a job execution command triggered by the user on the job data interface includes: In response to a user's instruction to start product job execution triggered on the job data interface, the target product is identified; The production work order information of the target product is displayed through the work data interface; wherein, the production work order information includes pre-set process information and work step information; In response to the start and end commands of the work step triggered by the user on the work data interface, determine the operation duration of each work step; In response to the user's command to stop the product operation triggered on the operation data interface, the number of completed workpieces, the number of qualified workpieces, and the number of workpiece abnormalities of the target product are determined, and the user's operation time data is obtained by calculating the operation time of each step.

[0011] Optionally, the method further includes: In response to a step splitting command triggered by the user on the work data interface, the current shift work progress information of the step corresponding to the step splitting command is determined; wherein, the step splitting command is obtained by the user clicking the step splitting button; Based on the current shift's work progress information and the preset progress target, the remaining progress information for the current shift is determined, and the preset progress target for the next shift is updated and adjusted synchronously according to the remaining progress information for the current shift, so as to complete the breakdown of the current work step.

[0012] Optionally, the method further includes: In response to a third operation command triggered by the user on the work data interface, a matching work instruction is retrieved based on the user's identity and the work step name; wherein, the third operation command is obtained by the user clicking to select any product's work step; The work instruction manual is displayed through the work instruction manual sub-interface; Alternatively, in response to the step start command triggered by the user on the work data interface, start timing for the current step and determine the actual operation time of the current step; If the actual operation time of the current step is greater than the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than the first preset threshold, a level one alarm is triggered. A level two alarm is triggered when the actual operation time of the current step exceeds the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than a second preset threshold. Wherein, the first preset threshold is less than the second preset threshold; the first-level alarm and the second-level alarm are triggered according to different alarm prompt colors and different flashing frequencies, and the flashing frequency of the first-level alarm is less than the flashing frequency of the second-level alarm.

[0013] Optionally, the method further includes: In response to a fourth operation command triggered by the user on the job data interface, an exception reporting sub-interface is displayed; wherein, the fourth operation command is obtained by the user clicking the Add Exception button; The anomaly reporting sub-interface collects anomaly reporting information uploaded by users, generates anomaly problem records, and pushes them to the job data interface; wherein, the anomaly reporting information includes anomaly problem description, anomaly cause analysis, and anomaly severity.

[0014] On the other hand, embodiments of this application provide a multi-dimensional platform data management system, the system comprising: The user verification module is used to respond to the platform login command triggered by the user, identify the user's identity, and display the matching job data interface according to the user's identity. The data acquisition module is used to acquire the work report data corresponding to the user in response to the work execution command triggered by the user on the work data interface. The data processing module is used to integrate the work report data of all users, calculate production management indicators according to different preset dimensions, and complete multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

[0015] On the other hand, embodiments of this application provide an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0016] On the other hand, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0017] On the other hand, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0018] This application embodiment uses work reporting information from different positions as a data source to construct a production management indicator system under the organizational, product, and project dimensions. This overcomes the problems of data fragmentation and inconsistency between multiple dimensions, improves data consistency and connectivity, achieves full-chain data traceability, and effectively improves the data management efficiency of the multi-dimensional platform. Attached Figure Description

[0019] Figure 1 This is a schematic diagram illustrating the implementation environment of a multi-dimensional platform data management method provided in an embodiment of this application; Figure 2 This is a flowchart illustrating a multi-dimensional platform data management method provided in an embodiment of this application; Figure 3 This is one of the schematic diagrams of a job data interface provided in the embodiments of this application; Figure 4 This is a schematic diagram of a multidimensional data coordinate system provided in an embodiment of this application; Figure 5 This is a schematic diagram illustrating detailed information on production management indicators provided in an embodiment of this application; Figure 6 This is a second schematic diagram of a job data interface provided in an embodiment of this application; Figure 7 This is a schematic diagram of an exception reporting sub-interface provided in an embodiment of this application; Figure 8 This is a schematic diagram of an abnormal problem record provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of a multi-dimensional platform data management system provided in an embodiment of this application; Figure 10 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of systems and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0021] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0022] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0024] Currently, digitalization and intelligentization have become important directions for the transformation and upgrading of data management platforms in the manufacturing industry.

[0025] In related technologies, data modeling and management are typically performed from a single dimension. However, in practical applications, it has been found that traditional system platform management methods suffer from problems such as fragmented and poorly integrated data management, and an inability to achieve unified traceability.

[0026] In view of this, this application provides a multi-dimensional platform data management method and related equipment. By integrating the work reporting information of different positions as the data source, a production management indicator system under the organizational, product, and project dimensions is constructed to overcome the problems of data fragmentation and inconsistency between multiple dimensions, improve data consistency and continuity, realize full-chain data traceability, and effectively improve the efficiency of multi-dimensional platform data management.

[0027] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0028] The specific implementation methods of the embodiments of this application will be described in detail below with reference to the accompanying drawings. First, a multi-dimensional platform data management method provided in the embodiments of this application will be described with reference to the accompanying drawings.

[0029] Please refer to Figure 1 , Figure 1 This is a schematic diagram of the implementation environment of a multi-dimensional platform data management method provided in this application embodiment. In this implementation environment, the main hardware and software components involved include a terminal processor 110 and a server 120.

[0030] Specifically, the terminal processor 110 may be equipped with a control program for a related multi-dimensional platform data management method, and the server 120 serves as the backend server for this control program. The terminal processor 110 and the backend server 120 are connected via a communication link. The multi-dimensional platform data management method provided in this embodiment can be executed on the terminal processor 110 side.

[0031] Server 120 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0032] In addition, server 120 can also be a node server in a blockchain network.

[0033] The terminal processor 110 and the server 120 can establish a communication connection via a wireless network. This wireless network uses standard communication technologies and / or protocols. The network can be the Internet or any other network, including but not limited to a Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network (WAN), mobile, or any combination of wireless networks, private networks, or virtual private networks. Furthermore, these hardware and software components can use the same or different communication connection methods; this application does not impose specific limitations in this regard.

[0034] Of course, this is understandable. Figure 1 The implementation environment described in this application is only one of the optional application scenarios for the multi-dimensional platform data management method provided in this embodiment. The actual application is not fixed. Figure 1 The software and hardware environment shown is not specifically limited in this application.

[0035] like Figure 2 As shown, Figure 2 This is a flowchart illustrating a multi-dimensional platform data management method provided in an embodiment of this application, specifically including but not limited to steps 100 to 300.

[0036] Step 100: In response to the platform login command triggered by the user, identify the user and display the matching job data interface according to the user's identity.

[0037] In this embodiment, by receiving and responding to the platform login command triggered by the user when logging into the multidimensional management platform, the user's identity is identified through the login verification information entered by the user, and a matching operation data interface is displayed on the multidimensional management platform according to the user's identity information. The multidimensional management platform can be an operation data management platform in an industrial production scenario.

[0038] For example, when a user is identified as a job operator, a matching job data interface can be displayed based on their specific job position, allowing the user to quickly access the job operation process; when a user is identified as a back-end administrator, a matching job data interface can be displayed based on their specific department, allowing the user to intuitively obtain department data and trigger subsequent management operation processes.

[0039] For example, please refer to Figure 3 , Figure 3This is one of the schematic diagrams of a work data interface provided in the embodiments of this application. Taking the user who triggered the platform login command as the laser unloading position as an example, after the user's platform login verification information is identified, the work data interface, including the product task list, can be displayed through the multi-dimensional management platform. The work data interface specifically includes multiple product names to be processed in the product task list, as well as the corresponding process, production quantity requirements, working hours, production quality and other information, so that the user can perform work according to the product task list and complete the job reporting.

[0040] Furthermore, Figure 3 The system can also display specific organizational hierarchy information based on the user's identity, such as the group, base, department, team, and final job level; it can also statistically analyze relevant work data based on different work time dimensions, such as this month, this week, and today.

[0041] Step 200: In response to the job execution command triggered by the user on the job data interface, obtain the job reporting data corresponding to the user.

[0042] In this embodiment of the application, in response to the work execution instructions triggered by the user on the work data interface, such as when the user clicks on a process or step in any product task list, the work execution instructions (such as work start, work end, step switching, etc.) are issued by the user when completing each process or step. Then, the multi-dimensional management platform automatically records basic data such as working hours and output as the corresponding work reporting data.

[0043] In practical applications, the technical management staff can pre-define the process route of each product in a standardized manner. Specifically, the product processing and production process can be broken down into several procedures (for example, the production process of the connecting block includes blanking → surface finishing → pin hole finishing). Each procedure can be further broken down into several steps (for example, the blanking step of the connecting block includes material preparation → laser blanking → deburring → dimensional quality inspection). Preset working hours are set for each step, and finally, the data is pre-set in the multi-dimensional management platform in the form of structured data, which serves as the data benchmark for subsequent work reporting, timing and alarms.

[0044] Step 300: Integrate the work reporting data of all users and calculate the production management indicators according to different preset dimensions to complete the multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

[0045] In this embodiment of the application, by integrating the work reporting data of all users and calculating production management indicators according to different preset dimensions, it is possible to realize that all multi-dimensional management data comes from the same data source, namely the work reporting data of the positions, which effectively overcomes the problems of data fragmentation and inconsistency between multiple dimensions and improves the consistency and continuity of data.

[0046] The multi-dimensional management platform can automatically calculate production management indicators such as output, pass rate, achievement rate, efficiency, and schedule based on different dimensions, specifically organizational, product, and project dimensions.

[0047] In practical applications, the organizational dimension is mainly used to assign work reporting data at the smallest execution unit in production operations—the job level—to specific departments, specific teams, and specific job levels; the product dimension is mainly used to assign work reporting data to specific products, specific processes, and specific steps; and the project dimension is mainly used to assign work reporting data to specific stages, specific milestones, and specific deliverables.

[0048] It is understood that selecting product dimension, organization dimension and project dimension as preset dimensions in the multidimensional management platform are only some optional preset methods in the multidimensional platform data management method provided in the embodiments of this application. The actual application is not fixed to the above embodiments, and this application does not impose specific restrictions on the preset multidimensional dimensions.

[0049] Therefore, compared to existing management systems that typically model and manage data from a single dimension, work reporting data usually remains at the department or team level, resulting in problems such as data fragmentation and poor connectivity. This application constructs a production management indicator system under the organizational, product, and project dimensions by integrating work reporting information from different positions as the data source. This overcomes the problems of data fragmentation and inconsistency between multiple dimensions, improves data consistency and connectivity, achieves full-chain data traceability, and effectively improves the efficiency of multi-dimensional platform data management.

[0050] Specifically, as an optional implementation, the process of integrating all users' work reporting data and calculating production management indicators based on different preset dimensions to complete multi-dimensional platform data management includes: The system integrates all user work reporting data, which includes the operation time of each step, the number of completed workpieces, the number of qualified workpieces, the number of workpiece anomalies, and the user's work reporting actions. Based on the work reporting data of all users, a multi-dimensional data coordinate system is constructed; wherein, the multi-dimensional data coordinate system includes an organization-dimensional data coordinate system, a product-dimensional data coordinate system, and a project-dimensional data coordinate system; Based on the multidimensional data coordinate system, production management indicators are calculated according to the preset indicator calculation rules, thus completing the multidimensional platform data management.

[0051] In this embodiment of the application, when the work report data of all users is obtained as the data basis, the operation time of each step, the number of completed and qualified workpieces during the product production process can be obtained. The number of workpiece abnormalities and user work report actions can also be collected so as to calculate different dimensions of production management indicators according to preset rules.

[0052] Furthermore, based on the work reporting data of all users, a multi-dimensional data coordinate system is constructed, which specifically includes an organizational dimension data coordinate system, a product dimension data coordinate system, and a project dimension data coordinate system.

[0053] In practical applications, the organizational dimension data coordinate system can be set as Company → Base → Department → Team → Position → Processed Component, forming a hierarchical data chain; the product dimension data coordinate system can be set as Project → Production Line → PLC → Workstation → Equipment-Components → Position, and can be decomposed and constructed according to the Manufacturing Bill of Materials (Physical BOM) that reflects the actual physical assembly structure and material consumption relationship of the product; the project dimension data coordinate system can be set as Project → Milestone → Equipment Manufacturing → Specialized Machinery Manufacturing → Position, and can be decomposed and constructed according to the project work breakdown structure.

[0054] Within the project dimension, the entire lifecycle of a production line project can be divided into multiple milestone stages. For example, taking an automotive production line as an example, there can be a total of eight milestones, from M1 to M8. Specifically, the milestones are as follows: M1: Project Initiation (deliverables may include project charter, schedule, technical agreements, etc.); M2: Scheme Design and Process Review (deliverables may include overall production line layout diagram, process flow diagram, equipment list, etc.); M3: Detailed Design (deliverables may include detailed design drawings, etc.); M4: Equipment Manufacturing (deliverables may include equipment factory reports and list documents); M5: On-site Installation and Infrastructure Construction (deliverables may include installation completion confirmation, on-site installation records, etc.); M6: System Integration and No-load Trial Run (deliverables may include commissioning reports, no-load trial run records, etc.); M7: Trial Production and Capacity Testing (deliverables may include trial production reports, quality inspection reports, etc.); and M8: Acceptance (deliverables may include acceptance reports, etc.).

[0055] For example, please refer to Figure 4 , Figure 4 This is a schematic diagram of a multi-dimensional data coordinate system provided in an embodiment of this application. By acquiring the work report data of all users at the material unloading laser station, a system like this can be constructed. Figure 4 The organizational, product, and project-level data coordinate systems shown serve as the basis for subsequent production management indicator calculations.

[0056] Furthermore, based on the constructed multidimensional data coordinate system as the data foundation, production management indicators are calculated according to the preset indicator calculation rules, thus completing the multidimensional platform data management.

[0057] For example, at the product level, production management indicators such as output, pass rate, progress, and plan achievement rate can be calculated by integrating the job reporting data associated with any product through a multi-dimensional data coordinate system based on the selected time dimension (e.g., this week, this month, etc.); at the organizational level, production management indicators such as pass rate, efficiency, and progress can be calculated.

[0058] Therefore, this application constructs a multi-dimensional data coordinate system from the dimensions of projects, organizations, or products, and links it to specific execution positions. The work reporting data collected by the execution positions overcomes the problem of data inconsistency between multiple systems through the architecture of "single data source, three-dimensional sharing". When the work reporting data of any position changes, the results of multi-dimensional production management indicators are updated synchronously to maintain data consistency. It can also support the traceability of the original work reporting data of the end position from any dimension, realizing full-chain data traceability.

[0059] In practical applications, this application integrates production management indicators from multiple dimensions on a multi-dimensional management platform, enabling relevant managers to fully grasp the production and operation status from three dimensions: organization, product, and project, without having to switch between multiple systems, thus significantly reducing the workload of repetitive data entry and conversion.

[0060] Optionally, after calculating production management indicators based on the multidimensional data coordinate system and according to preset indicator calculation rules, and completing multidimensional platform data management, the method further includes: The aforementioned production management indicators are displayed through the dashboard interface; In response to a first operation command triggered by the user, detailed information of any production management indicator is displayed; wherein the first operation command is obtained by the user clicking on any production management indicator.

[0061] In the embodiments of this application, such as Figure 3 As shown, the multi-dimensional management platform can also display production management indicators for the current dimension through a dashboard interface, so that relevant personnel can intuitively grasp the production and operation status.

[0062] In practical applications, each production management indicator is flexibly configurable through a set of data fields, calculation methods, and display formats. Several different production management indicators can be pre-set according to specific scenario requirements and quickly switched during actual use. For example, after receiving a production management indicator switching request from the front end, the back end parses the switching information carried in the request, queries metadata and obtains data tables, fields, and aggregation logic, then queries the corresponding work order number or batch number through multi-dimensional mapping, and finally concatenates the dynamic database fields and renders them according to the preset format, thereby completing the indicator switching on the front end interface.

[0063] Furthermore, in response to a first operation command triggered by the user, detailed information of any production management indicator is displayed, wherein the first operation command is obtained by the user clicking on any production management indicator.

[0064] Specifically, users can actively click on any production management indicator in the dashboard interface to trigger the generation of the first operation instruction. Based on the first operation instruction, the multi-dimensional management platform can update the operation data interface to display the detailed information of the production management indicator actively clicked by the user.

[0065] For example, please refer to Figure 5 , Figure 5 This is a schematic diagram of detailed information on production management indicators provided in an embodiment of this application. When a user actively clicks on a quality production management indicator in the dashboard sub-interface, the multi-dimensional management platform displays detailed information on the quality production management indicator by updating the work data interface. Specifically, it can be divided into the pass rate and first pass rate for different positions, so that users can quickly obtain detailed information on any production management indicator.

[0066] Detailed information on production management indicators can be displayed in different formats such as line charts, bar charts, and pie charts.

[0067] Specifically, as an optional implementation, the method further includes: In response to a second operation command triggered by the user, a target dimension is determined; wherein, the second operation command is obtained by the user clicking to switch preset dimensions and selecting any preset dimension; Based on the target dimension, update the production management indicator information displayed on the operation data interface and the Kanban sub-interface.

[0068] In the embodiments of this application, such as Figure 3 As shown, when a user actively clicks the dimension switching button at the top of the job data interface, they can select any preset dimension through a drop-down menu or other means, thereby triggering the switching of the preset dimension to obtain a second operation instruction, and then determining the target dimension selected by the user based on the second operation instruction.

[0069] Furthermore, based on the preset configuration for each dimension, the production management indicator information displayed on the work data interface and the Kanban sub-interface is updated.

[0070] Therefore, this application integrates production management indicators from multiple dimensions on a multi-dimensional management platform, enabling relevant managers to fully grasp the production and operation status from three dimensions: organization, product, and project, without having to switch between multiple systems, thus significantly reducing the workload of repetitive data entry and conversion.

[0071] Optionally, the step of obtaining job reporting data corresponding to the user in response to a job execution command triggered by the user on the job data interface includes: In response to a user's instruction to start product job execution triggered on the job data interface, the target product is identified; The production work order information of the target product is displayed through the work data interface; wherein, the production work order information includes pre-set process information and work step information; In response to the start and end commands of the work step triggered by the user on the work data interface, determine the operation duration of each work step; In response to the user's command to stop the product operation triggered on the operation data interface, the number of completed workpieces, the number of qualified workpieces, and the number of workpiece abnormalities of the target product are determined, and the user's operation time data is obtained by calculating the operation time of each step.

[0072] In this embodiment, the user can trigger the product task execution instruction by clicking on any task in the product task list, thereby determining the target product. Then, by obtaining the pre-configured process information and work step information of the target product, production work order information is constructed and displayed by updating the work data interface.

[0073] For example, please refer to Figure 6 , Figure 6 This is a second schematic diagram of a work data interface provided in the embodiments of this application. Taking the connecting block processing process of the laser cutting station as an example, it is divided into four steps: material preparation, laser cutting, deburring, and dimensional quality inspection, which can be displayed through the work data interface.

[0074] Furthermore, each step is equipped with a "Start" button and a "Next" button. When the user clicks the Start button, a step start instruction is triggered, and when the user clicks the Next button, a step end instruction is triggered. The operation time of each step can be determined by calculating the time interval between the step start instruction and the step end instruction.

[0075] Finally, by responding to the product operation stop command triggered by the user in the operation data interface, the number of completed workpieces, the number of qualified workpieces, and the number of workpiece abnormalities of the target product are determined, and the user's operation time data is obtained based on the operation time of each step.

[0076] In practical applications, when a user logs out or completes their current task, the multi-dimensional management platform can calculate the actual working hours of the current task based on the end time. Finally, by summarizing the working hours of multiple work orders within the comprehensive work cycle, it can serve as the data basis for analyzing job execution efficiency and output.

[0077] Therefore, this application can obtain a variety of different work reporting data by continuously collecting different work execution instructions during the user's work execution process, without requiring the user to manually upload the work reporting data, thereby reducing labor costs and improving data accuracy, and thus improving the accuracy of subsequent production management indicators.

[0078] Specifically, as an optional implementation, the method further includes: In response to a step splitting command triggered by the user on the work data interface, the current shift work progress information of the step corresponding to the step splitting command is determined; wherein, the step splitting command is obtained by the user clicking the step splitting button; Based on the current shift's work progress information and the preset progress target, the remaining progress information for the current shift is determined, and the preset progress target for the next shift is updated and adjusted synchronously according to the remaining progress information for the current shift, so as to complete the breakdown of the current work step.

[0079] In the embodiments of this application, such as Figure 6 As shown, the work data interface can also be set with a work step splitting button corresponding to each work step. When the user clicks the work step splitting button according to the actual work situation, it will trigger the generation of work step splitting instructions, which will be received and responded to by the multi-dimensional management platform.

[0080] Furthermore, based on the work step information carried in the work step splitting instruction, the corresponding work step is determined, and the current shift is identified based on the user's identity information. Then, by obtaining the user's reported work data, the current shift's work progress information for the work step corresponding to the work step splitting instruction is determined. The current shift's work progress information can be set as the number of times the work step has been executed (e.g., executed A times) or as work hour data (e.g., executed B hours), or it can be set according to the specific usage requirements of the scenario.

[0081] Furthermore, based on the current shift's work progress information and the preset progress target, the remaining progress information for the current shift is calculated. The remaining progress information for the current shift can be set to the same data format as the current shift's work progress information.

[0082] Ultimately, the multi-dimensional management platform synchronously updates and adjusts the preset progress target of the next shift based on the calculated remaining progress information of the current shift, so as to complete the splitting of the current work step. This allows the remaining progress of the current work step that has not been completed in the current shift to be split and adjusted to the next shift, improving the work step execution flexibility of the staff.

[0083] Optionally, the method further includes: In response to a third operation command triggered by the user on the work data interface, a matching work instruction is retrieved based on the user's identity and the work step name; wherein, the third operation command is obtained by the user clicking to select any product's work step; The work instruction manual is displayed through the work instruction manual sub-interface.

[0084] In the embodiments of this application, such as Figure 6 As shown, after the user triggers the product operation start command on the operation data interface, when the operation data interface displays the production work order information of the target product, it can further identify the third operation command triggered by the user clicking to select any product's work step. Then, based on the work step name information and user job information carried in the third operation command, it queries the pre-built work instruction database to retrieve the matching work instruction. The retrieved work instruction is then displayed on the work instruction sub-interface so that the user can quickly determine the equipment required for the current work step and the specific operation process guidance based on the work instruction.

[0085] In practical applications, corresponding work instruction files can be pre-configured in the multi-dimensional management platform for each product and each position. These files can be stored in various formats such as images, videos, and PDFs. After logging in, personnel can automatically query and load the corresponding instruction files based on the product information and position information of the current work order, namely the product ID and position ID of the work order. Relevant managers can also update the work instructions files in the background through a file upload control to support actual work requirements.

[0086] Specifically, as an optional implementation, the method further includes: In response to the step start command triggered by the user on the work data interface, start timing for the current step and determine the actual operation time of the current step; If the actual operation time of the current step is greater than the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than a first preset threshold, a level one alarm is triggered. A level two alarm is triggered when the actual operation time of the current step exceeds the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than the second preset threshold. Wherein, the first preset threshold is less than the second preset threshold; the first-level alarm and the second-level alarm are triggered according to different alarm prompt colors and different flashing frequencies, and the flashing frequency of the first-level alarm is less than the flashing frequency of the second-level alarm.

[0087] In the embodiments of this application, such as Figure 6 As shown, in response to the user's command to start a work step by clicking the start button, the multi-dimensional management platform can start timing for the current work step, determine the actual operation time of the current work step, and continuously compare and determine the numerical relationship between the actual operation time of the current work step and the preset standard time of the current work step.

[0088] Furthermore, based on preset triggering rules, when the actual operation time of the current step is longer than the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than the first preset threshold, it is determined that the current step is in the nascent stage of the problem and a level one alarm is triggered.

[0089] Furthermore, when the actual operation time of the current step exceeds the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than the second preset threshold, the current step is determined to be in a serious timeout stage, and a level 2 alarm is triggered.

[0090] In practical applications, the first and second preset thresholds can be preset based on the actual usage requirements of the scenario. For example, the first preset threshold can be set to 2 seconds and the second preset threshold to 5 seconds. Different levels of alarm severity can be distinguished based on different interface flashing colors and different interface flashing frequencies.

[0091] For example, when a level 1 alarm is triggered, the interface flashing color can be set to yellow, and when a level 2 alarm is triggered, the interface flashing color can be set to red. The flashing frequency of level 1 alarms can be set to be less than that of level 2 alarms, thereby distinguishing the severity of different alarms.

[0092] Therefore, by setting up a hierarchical alarm mechanism on a multi-dimensional management platform, this application enables relevant managers to receive early warnings at the nascent stage of a problem, without having to wait for post-event review and statistics, and improves the intuitiveness of alarms, allowing them to judge the severity of anomalies without having to view detailed data.

[0093] Specifically, as an optional implementation, the method further includes: In response to a fourth operation command triggered by the user on the job data interface, an exception reporting sub-interface is displayed; wherein, the fourth operation command is obtained by the user clicking the Add Exception button; The anomaly reporting sub-interface collects anomaly reporting information uploaded by users, generates anomaly problem records, and pushes them to the job data interface; wherein, the anomaly reporting information includes anomaly problem description, anomaly cause analysis, and anomaly severity.

[0094] In the embodiments of this application, such as Figure 6 As shown, the work data interface also has a "Add Exception" button. When the user clicks the "Add Exception" button, a fourth operation instruction is generated. The multi-dimensional management platform can respond to the fourth operation instruction and support the user to input exception reporting information by displaying the exception reporting sub-interface.

[0095] For example, please refer to Figure 7 , Figure 7 This is a schematic diagram of an anomaly reporting sub-interface provided in an embodiment of this application. After receiving and responding to the fourth operation command triggered by the user, the anomaly reporting sub-interface can be displayed in the form of a pop-up window. Specifically, the anomaly reporting sub-interface includes input boxes for anomaly description and anomaly cause analysis. It can support both text input and voice input, thereby effectively adapting to the usage needs of the work site. The anomaly reporting sub-interface can also select the severity of the anomaly through a drop-down menu, and can receive pictures taken by the user of the anomaly site, which are finally summarized into anomaly reporting information.

[0096] Furthermore, based on the received anomaly reports, an anomaly record is generated and pushed to the job data interface.

[0097] In practical applications, please refer to Figure 8 , Figure 8 This is a schematic diagram of an abnormal problem record provided in an embodiment of this application. After collecting abnormal reporting information uploaded by users through the abnormal reporting sub-interface, an abnormal problem record can be quickly generated and marked as pending processing status, and can then be quickly pushed to the corresponding relevant processing personnel.

[0098] Therefore, compared to the traditional management method where personnel often report abnormal situations verbally, this application uses the abnormal reporting sub-interface provided by the multi-dimensional management platform to receive abnormal reporting information uploaded by users in digital form, which can quickly and accurately record abnormal situations and effectively improve the efficiency of abnormal handling.

[0099] In practical applications, the multi-dimensional management platform can also set design tasks at the product dimension. Specifically, it can access data from the full-view BOM, obtain preset working hours and material cost information, and establish a hierarchical relationship between the acquired data according to the data coordinate system of the product dimension. This allows the design data to be traced back to the physical execution layer. Based on the task classification and rule engine, the product design task can be divided into multiple sub-tasks, and different production management indicators that need to be focused on can be set, along with different thresholds and early warning conditions.

[0100] Finally, through visualization rendering and interactive design, the completed design process data is presented on the work data interface, and the interactive function of clicking to drill down is supported.

[0101] Please see Figure 9 , Figure 9 This is a schematic diagram of the structure of a multi-dimensional platform data management system provided in an embodiment of this application. This application also provides a multi-dimensional platform data management system that can implement the above-mentioned multi-dimensional platform data management method. The system includes: User verification module 910 is used to respond to platform login commands triggered by users, identify users, and display matching job data interfaces based on user identities. Data acquisition module 920 is used to acquire work report data corresponding to the user in response to a work execution command triggered by the user on the work data interface; The data processing module 930 is used to integrate the work report data of all users, calculate production management indicators according to different preset dimensions, and complete multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

[0102] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0103] Please see Figure 10 , Figure 10 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. The electronic device includes: The processor 1001 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 1002 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 1002 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called and executed by the processor 1001 using the methods described in the embodiments of this application. Input / output interface 1003 is used to implement information input and output; The communication interface 1004 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 1005 transmits information between various components of the device (e.g., processor 1001, memory 1002, input / output interface 1003, and communication interface 1004); The processor 1001, memory 1002, input / output interface 1003 and communication interface 1004 are connected to each other within the device via bus 1005.

[0104] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0105] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0106] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0107] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0108] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0109] This application provides a multi-dimensional platform data management method and related equipment, which uses the work reporting information of different positions as the data source to construct a production management indicator system under the organizational, product, and project dimensions. This overcomes the problems of data fragmentation and inconsistency between multiple dimensions, improves data consistency and connectivity, realizes full-chain data traceability, and effectively improves the efficiency of multi-dimensional platform data management.

[0110] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0111] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0112] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0113] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0114] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0115] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0116] In the embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0117] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0118] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0119] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0120] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A multi-dimensional platform data management method, characterized in that, The method includes the following steps: In response to a platform login command triggered by a user, the system identifies the user and displays a matching job data interface based on the user's identity. In response to a job execution command triggered by a user on the job data interface, the system retrieves job reporting data corresponding to the user. By integrating all users' work reporting data, production management indicators are calculated based on different preset dimensions to complete multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

2. The method according to claim 1, characterized in that, The process integrates all users' work reporting data, calculates production management indicators based on different preset dimensions, and completes multi-dimensional platform data management, including: The system integrates all user work reporting data, which includes the operation time of each step, the number of completed workpieces, the number of qualified workpieces, the number of workpiece anomalies, and the user's work reporting actions. Based on the work reporting data of all users, a multi-dimensional data coordinate system is constructed; wherein, the multi-dimensional data coordinate system includes an organization-dimensional data coordinate system, a product-dimensional data coordinate system, and a project-dimensional data coordinate system; Based on the multidimensional data coordinate system, production management indicators are calculated according to the preset indicator calculation rules, thus completing the multidimensional platform data management.

3. The method according to claim 2, characterized in that, After calculating production management indicators based on the multidimensional data coordinate system and according to preset indicator calculation rules, and completing multidimensional platform data management, the method further includes: The aforementioned production management indicators are displayed through the dashboard interface; In response to a first operation command triggered by the user, detailed information of any production management indicator is displayed; wherein the first operation command is obtained by the user clicking on any production management indicator.

4. The method according to claim 3, characterized in that, The method further includes: In response to a second operation command triggered by the user, a target dimension is determined; wherein, the second operation command is obtained by the user clicking to switch preset dimensions and selecting any preset dimension; Based on the target dimension, update the production management indicator information displayed on the operation data interface and the Kanban sub-interface.

5. The method according to claim 1, characterized in that, The step of responding to a user's job execution command triggered on the job data interface and obtaining job reporting data corresponding to the user includes: In response to a user's instruction to start product job execution triggered on the job data interface, the target product is identified; The production work order information of the target product is displayed through the work data interface; wherein, the production work order information includes pre-set process information and work step information; In response to the start and end commands of the work step triggered by the user on the work data interface, determine the operation duration of each work step; In response to the user's command to stop the product operation triggered on the operation data interface, the number of completed workpieces, the number of qualified workpieces, and the number of workpiece abnormalities of the target product are determined, and the user's operation time data is obtained by calculating the operation time of each step.

6. The method of claim 5, characterized in that, The method further includes: In response to a step splitting command triggered by the user on the work data interface, the current shift work progress information of the step corresponding to the step splitting command is determined; wherein, the step splitting command is obtained by the user clicking the step splitting button; Based on the current shift's work progress information and the preset progress target, the remaining progress information for the current shift is determined, and the preset progress target for the next shift is updated and adjusted synchronously according to the remaining progress information for the current shift, so as to complete the breakdown of the current work step.

7. The method according to claim 5, characterized in that, The method further includes: In response to a third operation command triggered by the user on the work data interface, a matching work instruction is retrieved based on the user's identity and the work step name; wherein, the third operation command is obtained by the user clicking to select any product's work step; The work instruction manual is displayed through the work instruction manual sub-interface; Alternatively, in response to the step start command triggered by the user on the work data interface, start timing for the current step and determine the actual operation time of the current step; If the actual operation time of the current step is greater than the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than the first preset threshold, a level one alarm is triggered. A level two alarm is triggered when the actual operation time of the current step exceeds the preset standard time of the current step and the deviation between the actual operation time of the current step and the preset standard time of the current step is greater than a second preset threshold. Wherein, the first preset threshold is less than the second preset threshold; the first-level alarm and the second-level alarm are triggered according to different alarm prompt colors and different flashing frequencies, and the flashing frequency of the first-level alarm is less than the flashing frequency of the second-level alarm.

8. The method according to claim 5, characterized in that, The method further includes: In response to a fourth operation command triggered by the user on the job data interface, an exception reporting sub-interface is displayed; wherein, the fourth operation command is obtained by the user clicking the Add Exception button; The anomaly reporting sub-interface collects anomaly reporting information uploaded by users, generates anomaly problem records, and pushes them to the job data interface; wherein, the anomaly reporting information includes anomaly problem description, anomaly cause analysis, and anomaly severity.

9. A multi-dimensional platform data management system, characterized in that, The system includes: The user verification module is used to respond to the platform login command triggered by the user, identify the user's identity, and display the matching job data interface according to the user's identity. The data acquisition module is used to acquire the work report data corresponding to the user in response to the work execution command triggered by the user on the work data interface. The data processing module is used to integrate the work report data of all users, calculate production management indicators according to different preset dimensions, and complete multi-dimensional platform data management; wherein, the different preset dimensions include product dimension, organization dimension and project dimension.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 8.

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