Universal cross-industry digital base and design method thereof

Abstract

The invention relates to the field of manufacturing industry digitization and industrial internet, in particular to a universal cross-industry digital base and a design method thereof.The digital base comprises a physical model layer, a cost element layer, a plug-in / matrix type extension framework, an event / item management module and a cross-system interface module, the method comprises the following steps: abstracting core elements of multiple industries based on a product structure, a process principle, material object circulation and spatial-temporal variation to form a data structure and an association relationship of a bottom layer, defining cost fields on the basis of a physical model layer, determining a trigger condition and a calculation method for updating each cost field, and calculating the cost field; a matrix type assembly strategy and an API (Application Program Interface) or a data bus are set in the digital base, and by configuring a mapping relation in a cross-system interface module, the base can take effect and realize cross-system data sharing, and the digital base can support various industries such as mechanical manufacturing, injection molding, clothing, cables and agriculture on the same digital base, and reduces multiple sets of systems and repeated construction.

Description

Technical Field

[0001] The present invention relates to the field of manufacturing digitalization and industrial Internet, and more specifically, to a universal cross-industry digital base and a design method thereof. Background Art

[0002] As enterprises' digital transformation deepens, different industries have great differences in product technology, logistics mode, cost accounting method, financial aggregation dimension, etc. Traditional ERP or industry software often needs to be customized, resulting in data fragmentation and poor scalability, making it difficult to cope with cross-industry cooperation or multi-format operations. Some existing technologies try to provide general templates in the form of "industry type + dimension configuration", but they still focus mainly on the table and field level, and it is difficult to touch the core business needs such as deep process principles, time and space evolution, and cost accumulation.

[0003] For example, announcement number CN109523133B discloses a control method and system for enterprise management dimensions, which can pre-configure several industry types and bind information at the material dimension, space dimension, financial dimension, reserved dimension and other levels for general cross-industry applications. This solution solves the problem of differentiation of table fields to a certain extent, but because it focuses on the mapping between "dimensional rule events" and "industry types", it mainly plays a role in static dimension configuration and form management, and has not yet gone deep into the dynamic modeling and tracing of core business elements such as product structure, process principles, spatiotemporal evolution and multi-dimensional cost accumulation. Therefore, when enterprises need more sophisticated process management, cost accounting, cross-system collaboration and real-time data updates, they will still face many limitations. Summary of the invention

[0004] To this end, the purpose of the present invention is to provide a universal cross-industry digital base and a design method thereof, which aims to deeply integrate product structure, process principles, physical flow, temporal and spatial changes and multi-dimensional cost elements, and support the personalized needs of multiple industries or enterprises through a plug-in / matrix expansion architecture, thereby realizing real-time data sharing and dynamic traceability across systems and processes.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A universal cross-industry digital base, including:

[0007] Physical model layer: used to unify the abstraction of production processes and business processes of different industries based on product structure, process principle, physical flow, and time and space changes;

[0008] In this physical model layer, multi-level structure definitions are performed for materials or products, each process is parameterized and recorded, and traceability management is performed on the material flow and batch characteristics in time and space dimensions.

[0009] Cost element layer: coupled with the physical model layer, used to record and calculate raw material costs, equipment usage costs, labor hours, energy consumption, outsourcing costs and other derivative costs;

[0010] When process execution or inventory change events occur at the physical model layer, the corresponding cost elements are automatically updated or accumulated to form dynamic cost tracking for unit materials, batches or orders;

[0011] Plug-in / matrix extension architecture: a plug-in interface and a matrix function combination module are set in the digital base, and each plug-in corresponds to a set of industry or enterprise-specific process extension fields, financial strategies, quality inspection items or management forms;

[0012] By combining different plug-ins in a matrix structure, it is easy to meet the differentiated needs of multiple industry scenarios without modifying the core physical model and cost factor layer;

[0013] Event / matters management module: used to record the temporal and spatial changes of materials in production, inspection, logistics, outsourcing, and energy consumption measurement. Whenever a new item is recorded, it triggers automatic updates or status changes to the cost element layer and physical model layer, and maintains data consistency within the system.

[0014] Cross-system interface module: provides external API or data bus to exchange data with external ERP, MES, WMS, SCM or financial systems, supports mapping of fields or business logic of external systems when plug-ins are extended, and links external information with the physical model layer and cost element layer of the base to update.

[0015] The present invention is further configured as follows: the digital base further includes a visualization analysis layer for performing multi-dimensional correlation display of data of the physical model layer and the cost element layer, and the visualization analysis layer includes one or more of the following contents:

[0016] Production process dashboard, inventory heat map, cost collection report and outsourcing progress Gantt chart;

[0017] The present invention is further configured as follows: the plug-in / matrix extension architecture automatically calls the corresponding plug-in collection according to the industry type or scenario label specified by the user, and immediately takes effect on the physical model layer and the cost element layer after loading, thereby achieving rapid switching of cross-industry deployment.

[0018] The present invention is further configured as follows: the digital base also includes an MRP / APS plug-in module, which reads the work-in-progress, process route, production capacity information in the physical model layer, and the material price and outsourcing costs in the cost element layer, and after performing material demand reverse scheduling or production scheduling optimization, writes the results back to the event / matter management module.

[0019] A design method for a universal cross-industry digital base includes the following steps:

[0020] Establish a unified physical model: Based on product structure, process principle, physical flow, and spatiotemporal changes, the core elements of multiple industries are abstracted to form the underlying data structure and association relationship, and the multi-level structure, process route, in-stock / in-process status and location, and batch attributes of materials or products are defined in the same spatiotemporal dimension framework;

[0021] Integrate multi-dimensional cost elements: Based on the physical model, define the cost fields of raw materials, labor hours, equipment depreciation, energy consumption, and outsourcing costs, determine the trigger conditions and calculation methods for updating each cost field over time, process or inventory flow, and associate them with the physical model layer in a two-way manner;

[0022] Plug-in / matrix expansion configuration: pre-define or provide a series of plug-in units for different industries or enterprise scenarios, and set up a matrix assembly strategy in the digital base. When it is necessary to adapt to a certain industry or project, combine and load the corresponding plug-in to automatically generate or update the required process fields, data forms, and financial parameters without modifying the underlying physical model or cost element structure;

[0023] Event-driven and real-time update: The digital base is configured with an event / event management module to record dynamic events from production, testing, logistics or outsourcing links. After each event is triggered, the physical model layer and the cost element layer are synchronously updated or accumulated to ensure that the material flow path and cost consumption can be traced at any time;

[0024] Interface docking and cross-system collaboration: A unified API or data bus is set up in the digital base to map the fields or business logic of external ERP, MES, WMS, SCM, IoT, and financial systems. When new industry plug-ins or business function requirements arise, they can be configured in the cross-system interface module to take effect within the base and achieve cross-system data sharing without rebuilding the database structure.

[0025] The present invention is further configured as follows: when an access request from a new factory or a new outsourced factory is detected, by creating a corresponding spatial location or outsourced node record in the event / matter management module, automatic configuration is triggered and relevant plug-ins are loaded to expand the management scope of the spatiotemporal change layer and the cost element layer.

[0026] The present invention is further configured as follows: in the plug-in / matrix extension configuration step, an "outsourcing collaboration plug-in" is configured for outsourcing production or cross-organizational collaboration scenarios, including fields for outsourcing unit identification, outsourcing quotation model, and outsourcing quality inspection specifications, and a corresponding "outsourcing fee" cost field is established in the digital base to achieve dynamic collection and visual management.

[0027] The present invention is further configured as follows: the cross-system interface module also supports recording key information of the warehousing and outsourcing process of key materials in the form of blockchain or distributed ledger, which is used to improve data credibility and anti-tampering capabilities in multi-enterprise collaboration or supply chain management.

[0028] The present invention is further configured as follows: the visual analysis layer also includes statistical analysis of equipment operating status, energy consumption monitoring data, production line abnormality alarms and historical batch yields, and can perform multi-dimensional backtracking and comparison based on a timeline or process path.

[0029] The present invention is further configured to: integrate predictive analysis functions in the event-driven and real-time update steps: when the event / event management module detects abnormal changes in process parameters or inventory of a batch, it automatically calls a preset algorithm model to predict and warn of subsequent production, quality or cost risks, and prompts relevant business personnel in the form of charts or alarms in the visual analysis layer.

[0030] Compared with the shortcomings of the prior art, the beneficial effects of the present invention are:

[0031] On the same digital base, it can support multiple industries such as mechanical manufacturing, injection molding, clothing, cables, agriculture, etc., reduce multiple systems and duplicate construction, not only realize abstraction at the table or field level, but also conduct in-depth management and traceability of process paths, equipment parameters, batch quality, and production process costs.

[0032] In particular, the plug-in / matrix design enables enterprises to quickly build or customize new scenarios without making large-scale changes to the core foundation.

[0033] In particular, any production or logistics event will update the relevant cost data and physical models in real time to ensure data consistency and timeliness.

[0034] In particular, by connecting to multiple external systems through standard interfaces, unified management and reuse of data can be achieved to avoid information silos. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the modules of the digital base of the present invention;

[0036] Figure 2 This is a flow chart of the digital base design method of the present invention;

[0037] Figure 3 The present invention is based on the flow chart of the injection molding industry. DETAILED DESCRIPTION

[0038] Reference Figures 1 to 3 The implementation of the present invention is further described.

[0039] The digital base of the present invention is mainly composed of the following parts:

[0040] Physical model layer: Based on four key elements, namely product structure, process principle, physical flow, and time-space changes, the production process and business process of different industries are uniformly abstracted. Different from the existing technology that only performs simple configuration for "form fields or management dimensions", this invention incorporates the following contents into the same model:

[0041] Multi-level structure definition: for example, multi-level parts (BOM) in the machinery manufacturing industry, or molds and injection molding machine stations in the injection molding industry; main materials, auxiliary materials, styles, and sizes in the clothing industry; conductor structure, insulation layer, and sheath in the cable industry.

[0042] Parametric recording of process: In the present invention, each process step will define the process requirements (temperature, pressure, time, equipment load), inspection items (appearance, size, tolerance), personnel or machine information to achieve in-depth process control and traceability.

[0043] Time and space dimension management: Establish high-precision time and space coordinates for information such as material flow paths, production time, spatial location (warehouse, storage location, workshop, production line, outsourced factory), etc., so as to achieve accurate recording and multi-level traceability in subsequent event / matter management.

[0044] Batch feature traceability: During the production or logistics process, common batch numbers, serial numbers, version numbers, etc. can be uniformly managed at this model layer to meet the needs of quality inspection, recall management or traceability query.

[0045] Application examples:

[0046] Mechanical manufacturing scenario: The physical model layer records the component structure, process (casting, machining, assembly, etc.), equipment capacity, and production rhythm; when a part undergoes batch changes at different times or work sections, it can be recorded in the time and space dimensions.

[0047] Injection molding industry scenario: The physical model layer parameterizes the number of mold cavities, injection molding machine power, melting point temperature, and molding cycle of the plastic part; if color switching or outsourced dyeing processes occur, scalable records can also be made at this layer.

[0048] By building the physical model layer, the entire digital base can perform unified abstraction and in-depth management of complex process flows or diversified product forms.

[0049] Cost element layer:

[0050] Coupling of the cost element layer with the physical model layer: The cost element layer coupled with the physical model layer is used to record and calculate various derivative costs such as raw material costs, equipment usage costs, labor hours, energy consumption, outsourcing costs, etc. Any "process execution", "logistics migration" or "outsourcing link" in the physical model layer can form a corresponding dynamic accumulation or settlement in the cost element layer.

[0051] Cost field definition and trigger conditions:

[0052] Raw material costs can be deducted and aggregated based on material requisition and production consumption events;

[0053] Equipment use cost, depreciation or operating energy consumption calculated based on machine hours or equipment load;

[0054] Labor time cost is calculated by recording the process execution time and staffing, and then multiplying it by the corresponding labor time rate;

[0055] Energy consumption, such as electricity, steam, gas, etc., is usually linked to production hours or capacity utilization;

[0056] Outsourcing costs: when a process or logistics is performed by a third-party outsourcing factory, they are added to the corresponding order, batch or material according to the outsourcing quotation model;

[0057] Other derivative costs, such as packaging fees, transportation fees, tariffs, etc., can also be expanded at this layer.

[0058] Dynamic tracking mechanism

[0059] The present invention emphasizes "automatically updating or accumulating corresponding cost elements when process execution or inventory change events occur at the physical model layer", thereby ensuring that the cost of unit materials, batches or orders is instantly and accurately collected during the production and circulation process. Different from the existing technology that often requires "manual write-back" or "regular aggregation", it can better support real-time decision-making and cost tracking.

[0060] Plug-in / matrix expansion architecture:

[0061] Plug-in interface definition: Set up a plug-in interface in the digital base so that each plug-in only needs to focus on industry-specific or enterprise-specific incremental fields, management logic, or front-end views without changing the core physical model layer or cost element layer structure.

[0062] For example, the "outsourcing collaboration plug-in" can add outsourcing unit identification, outsourcing quality inspection specifications, and outsourcing cost fields;

[0063] The "MRP / APS plug-in" can add detailed material demand reverse scheduling, equipment scheduling optimization algorithm, etc.;

[0064] The "Financial Plug-in" can add functions such as financial account mapping and accounting entry generation.

[0065] Matrix combination: Matrix functional combination modules are used: one dimension can be "industry type" (clothing, injection molding, machinery, cable, agriculture...), and the other dimension can be "business function plug-in" (outsourcing management, quality inspection, MRP, finance, etc.). During deployment, the digital base can automatically call the corresponding plug-in collection according to the industry type or scenario label specified by the user, and immediately take effect at the physical model layer and cost element layer after loading, realizing rapid switching of cross-industry deployment.

[0066] Different from the traditional "one-to-one industry customization" approach, the present invention can "generally abstract" multiple industries in core dimensions through matrixing, and then further refine them through plug-ins.

[0067] Event / matters management module:

[0068] Recording of time and space changes: A special event / matter management module is set up to record the "state changes" of materials in production, inspection, logistics, outsourcing or energy consumption measurement.

[0069] Each event shall contain at least: event type (production / transfer / inspection / outsourcing, etc.), timestamp, location / equipment identification, batch number, quantity or parameter changes.

[0070] When a new event is recorded, the system automatically notifies the physical model layer and cost element layer to update or calculate, ensuring that global data is consistent and traceable.

[0071] Application examples:

[0072] Injection molding industry: When a batch of raw materials is molded in an injection molding machine, an event will be generated, indicating information such as "time, machine number, mold ID, molding batch quantity, energy consumption", etc. After the event is triggered, the physical model layer updates the raw material from "in-progress" to "pending inspection" status, and the cost element layer synchronously calculates the machine labor cost, energy consumption cost, etc.

[0073] Garment industry: When outsourcing dyeing is completed, an "outsourcing completion" event is inserted to record information such as the outsourcing factory ID, dyeing batch, consumables, and outsourcing costs, so as to achieve accurate accounting and cost tracking of outsourcing nodes.

[0074] Cross-system interface module:

[0075] External API / data bus: Provides standardized interfaces for data exchange with ERP, MES, WMS, SCM, IoT, finance and other systems. It can map the orders, warehouse locations, financial accounts, equipment information and other information of external systems to the physical model layer and cost element layer in the base.

[0076] When the plug-in is expanded, the mapping rules for the newly added fields can be defined at the interface layer, without the need to make frequent structural changes to the underlying database.

[0077] Supports message push or real-time interface to avoid wrong decisions caused by data lag.

[0078] Blockchain / distributed ledger extension: supports recording the warehousing and outsourcing process of key materials, inspection results, quality certification, and other information in the form of blockchain or distributed ledger, which is used for data tamper prevention and credibility assurance during multi-enterprise (supply chain) collaboration.

[0079] The design method of the present invention can be divided into the following steps:

[0080] Step S1: Establish a unified physical model:

[0081] Extraction of core elements from multiple industries: Analyze product structures and process attributes of common industries such as machinery, injection molding, clothing, cables, and agriculture; sort out information such as "parts BOM hierarchy, process route, in-stock / in-process / outsourced / delivery status, time-space coordinates"; establish a set of basic data tables (such as process tables, BOM tables, production line tables, time-space tables, and batch tables) through classification and mapping.

[0082] Space-time dimension framework: Define spatial identifiers (warehouse code, storage location, workshop / production line ID, outsourcing factory ID) for logistics, warehousing, production nodes, etc., which can be referenced in subsequent events;

[0083] Define time batch or version management rules (production batch, serial number, order number).

[0084] Through this step, the foundation of "universal abstraction" that is adaptable to multiple industries is laid.

[0085] Step S2: Integrate multi-dimensional cost elements:

[0086] Initialize the cost fields such as raw materials, labor, equipment depreciation, energy consumption, and outsourcing costs;

[0087] Decide whether to enable "batch-level cost" or "unit cost" based on the industry type to support different needs.

[0088] Cost trigger and calculation method:

[0089] Configure the "trigger condition → execution formula" mechanism. For example, when the "process execution completed" event arrives, the equipment power and working hours information in the physical model layer are automatically retrieved, multiplied by the rate and accumulated to the target material / order.

[0090] If outsourcing occurs, the corresponding amount will be added to the "outsourcing fee" field. Multiple modes such as fixed processing fee, charging by weight / area, etc. can be superimposed and distinguished.

[0091] By linking with the visual analysis layer, the cost superposition of different dimensions can be presented on the cost aggregation report or dashboard; dynamic trend charts can be realized through event timestamps, such as real-time viewing of the cumulative cost curve of the product from the beginning of manufacturing to the final delivery.

[0092] Step S3, plug-in / matrix expansion configuration:

[0093] Plug-in unit pre-definition: For example, the outsourcing collaboration plug-in includes fields such as outsourcing unit identification, outsourcing quotation model, and outsourcing quality inspection specifications; it corresponds to the "outsourcing cost" field in the cost layer; and a new "outsourcing in / out" event type is added in event management;

[0094] MRP / APS plug-in: can read and write work-in-progress, process routing, and capacity information at the physical model layer, and reference the material unit price at the cost element layer to perform production scheduling or demand reverse scheduling.

[0095] Financial plug-in: configure interface mapping with financial subjects and account sets, etc.

[0096] Matrix assembly strategy:

[0097] One dimension, industry (clothing, injection molding, machinery, cables, etc.);

[0098] Another dimension, business plug-ins (outsourcing, MRP, finance, visualization, etc.);

[0099] During deployment, plug-ins are combined based on user selections (or scenario tags) to generate corresponding UI interfaces, database fields or data synchronization rules for specific industry + function packages.

[0100] Examples of outsourcing / cross-organizational collaboration:

[0101] When a new factory or a new outsourcing factory access request is detected, a corresponding spatial location or outsourcing node record is created in the event / matters management module;

[0102] Automatically call the outsourcing collaboration plug-in, load the outsourcing quotation model, etc., and enable the "outsourcing cost" field in the cost element layer to achieve dynamic collection and visual management;

[0103] This supports expansion to multiple plants or outsourcing scenarios without having to restructure the core database.

[0104] Step S4: Event-driven and real-time update:

[0105] Event / matters recording mechanism: All operations such as production, testing, logistics, outsourcing, energy consumption metering, etc. are written into the event table through the "new event" method. Each event is saved:

[0106] Event type (process completion, qualified inspection, warehousing, outsourcing handover, etc.),

[0107] Occurrence timestamp, location / equipment / personnel, quantity or energy consumption data, associated batch information, etc.

[0108] After inserting the event record, the digital base automatically calls the event listener to perform update or accumulation operations on the physical model layer and cost element layer.

[0109] Predictive analysis: When the event / matters management module detects abnormalities in a batch of process parameters or inventory data, it will automatically call the preset algorithm model (such as based on statistics or machine learning) to predict and warn of subsequent production, quality, and cost risks. At the same time, it will provide prompts in the form of charts or alarms in the visual analysis layer so that relevant personnel can handle them in a timely manner.

[0110] Step S5: Interface docking and cross-system collaboration:

[0111] Unified API or data bus: Set up cross-system interface modules in the digital base and configure field or business logic mapping of external ERP, MES, WMS, SCM, IoT, and financial systems. For example, the "sales order" field in ERP is mapped to the "order number" in the base;

[0112] The "process completion report" in MES is mapped to the "process completion" event in event / matters management;

[0113] The "account code" in the financial system is mapped to the "expense type" field at the cost element level, etc.

[0114] Blockchain / distributed ledger: If blockchain technology is chosen, the warehousing, quality inspection, and outsourcing processes of key materials will be packaged into hash blocks and written into the distributed ledger to prevent tampering and establish a trusted data source when multiple parties in the supply chain collaborate.

[0115] When the "outsourcing collaboration plug-in" or "blockchain plug-in" is enabled, the mapping relationship will automatically take effect without rebuilding the underlying database.

[0116] Through this method, data sharing and business collaboration can be achieved between the digital base and external systems. With the expansion of plug-ins, new fields or new logic can be quickly configured at the system interface layer to achieve sustainable evolution.

[0117] Step S6: Optional Visual Analysis and Prediction

[0118] If the visualization plug-in is enabled, the process flow, inventory heat map, order board, cost collection and other information in the base can be directly displayed on the management interface;

[0119] If the predictive analysis plug-in is enabled, modeling and prediction of event trends can be performed, such as detecting abnormal batches, energy consumption fluctuation trends, etc., and early warnings or optimization suggestions can be given.

[0120] Typical application scenario examples:

[0121] Application in the apparel industry: Enable "color / size extension plug-in" + "outsourcing dyeing plug-in" + "financial plug-in" in the plug-in / matrix architecture;

[0122] Define the garment process (cutting, sewing, ironing, packaging, etc.) at the physical model level;

[0123] The event / matters module records dyeing completion or outsourcing inspection, and automatically collects "outsourcing fees" into the cost element layer;

[0124] The visual analysis layer can output "inventory heat map (distinguishing between colors and sizes)" and "order progress Gantt chart".

[0125] Injection molding industry application: physical model layer manages injection molding machines, molds and process parameters (temperature, pressure, molding cycle);

[0126] When the molding batch is completed, the system automatically triggers an event; material costs, machine hours, and energy costs are accumulated at the cost element level;

[0127] If outsourcing post-processing or spraying is required, load the "outsourcing collaboration plug-in" and include the corresponding outsourcing costs into the total product cost in real time.

[0128] Mechanical Manufacturing and ETO (Engineer to Order) Project

[0129] Since mechanical manufacturing often involves engineering customization, new part numbers or outsourcing factories may appear frequently; the present invention can dynamically add new "outsourcing node" records in the event / matter management module and automatically associate new machines, tooling or inspection items;

[0130] The visualization layer can also present "project schedule" and "work-in-process process Gantt chart", so that large ETO projects can also be managed collaboratively across departments and factories.

[0131] Communication mode of cross-system interface: In addition to RESTful API or message queue, industrial protocols such as OPC UA and MQTT can also be used for data docking. If business needs, the interface module can also be connected to the blockchain node to form a ledger maintained by multiple parties.

[0132] According to the scale and needs of the enterprise, more BI (Business Intelligence) or AI (Artificial Intelligence) algorithm models can be added to the visualization layer, such as predictive maintenance, energy consumption optimization, supply chain scheduling, etc.; historical data of events / matters can be trained to provide enterprises with adaptive scheduling or quality inspection models.

[0133] By establishing a close logic and data coupling relationship between the physical model layer, cost element layer, plug-in / matrix extension architecture, event / matters management module and cross-system interface module, unified digital management and control and scalability support for multiple industries and multiple business models can be achieved. Compared with the traditional "industry type + dimension configuration" existing technology, the present invention has a deeper modeling of key elements such as product process, spatiotemporal evolution, dynamic cost accumulation, etc., and brings a high degree of flexibility and portability through the plug-in mechanism, which is particularly suitable for the increasingly diversified industrial structure and complex supply chain collaboration scenarios.

[0134] Table 1 below is a comparison table of implementation points and values ​​of the units constituting the digital base of the present invention.

[0135] Steps / Modules Implementation points value Building a unified physical model Based on the four elements of "product structure (BOM), process principle, physical flow, and space-time change", the system provides hierarchical and process-based definitions for different products or materials, and establishes spatial and temporal coordinates for logistics and workshop locations. Provides a common data structure for multi-industry and multi-format production or business processes; compatibility with different industry characteristics such as machinery, injection molding, clothing, cables, etc. under one framework; enables "materials / products" to be accurately characterized and traced throughout their life cycle Integrate multi-dimensional cost elements On top of the physical model, define cost fields such as raw materials, labor, equipment depreciation, energy consumption, and outsourcing costs; - Accumulate or deduct through "event trigger + calculation formula"; directly link with process steps or logistics nodes to form real-time cost aggregation Dynamic cost management: automatically update related costs when any production line / process / outsourcing occurs; refined accounting: support differentiated cost structures in multiple industries (such as injection molding energy consumption, clothing outsourcing dyeing, agricultural planting batches, etc.); assist management in cost decision-making in real time Plug-in / matrix expansion architecture A series of "plug-in units" (outsourcing management, MRP / APS, financial docking, quality inspection, etc.) are provided in advance; "industry type" × "functional plug-in" is combined into a matrix; each plug-in only incrementally expands fields, views or business logic, without changing the core physical model and cost element layer Flexible expansion: enterprises can freely assemble appropriate plug-ins to cope with changes in scenarios; reduce customization costs: no need to modify the database or underlying code on a large scale; cross-industry deployment: the same base can quickly adapt to multiple industries and multi-format operations through different plug-in combinations Event / matters management module Set up an event table to record any dynamic information such as production process completion, logistics transfer, outsourcing in and out, energy consumption measurement, etc.; each time an event is inserted, it automatically triggers the update of the physical model layer and the cost element layer; ensure global consistency of data and can be traced back in a "timeline" manner Real-time: Any change in material or process status can immediately update costs and inventory; Traceability: Through the chain record of events, it is possible to accurately locate the link where a certain abnormality or quality problem occurred; reduce manual write-back, reduce errors and improve data accuracy Cross-system interface module Provides standard API or data bus to connect with ERP, MES, WMS, SCM, finance, and IoT systems; when the plug-in is enabled, the mapping relationship between external system fields and base fields can be configured without changing the core database; optional support for blockchain or distributed ledgers for trusted data records for multi-enterprise collaboration Avoid data silos: achieve two-way synchronization with external systems; simplify integration: field mapping and business logic mapping only need to be configured at the interface layer; can be advanced to blockchain: ensure that data cannot be tampered with during supply chain collaboration, enhance trust Visualization Analysis Layer Extract real-time data from physical models and cost factors; provide visual interfaces such as production process dashboard, inventory heat map, cost collection report, outsourcing progress Gantt chart, equipment operation monitoring, etc.; optional AI or predictive analysis plug-ins can be loaded to monitor anomalies and predict risks Intuitive management: managers can quickly understand production / cost / logistics status from the visual interface; early warning and decision support: when critical processes or inventory anomalies are detected, the interface can provide warnings and forecast suggestions; external display: suppliers / customers can also view certain key data Implementation and extension examples When a new factory / outsourcing factory is connected, a new space location or outsourcing node is created in the event / matters management module; the corresponding plug-in (such as outsourcing collaboration plug-in) is automatically loaded or enabled, and the "outsourcing cost" field is set up in the cost element layer; the blockchain can be combined to record key logistics and inspection processes Multi-factory collaboration: quickly incorporate new factories or outsourcing points under a unified foundation; continuous evolution: when business expands, only the corresponding plug-ins need to be added or enabled, rather than overturning the original system; supply chain cooperation: using trusted ledgers and visualization to improve the efficiency and trust of data exchange between multiple enterprises Overall operation and advantages With "physical model layer + cost element layer" as the core, it supports the dynamic expansion of plug-ins / events / interfaces; when production, logistics, outsourcing and other links occur, the event is first registered, and then the event automatically drives the underlying model and cost calculation update; advanced applications such as AI / big data can be expanded around this framework Global data consistency: eliminate duplication or delayed updates between multiple systems; Cross-industry adaptation: the same base can cover multiple fields such as machinery, injection molding, clothing, cables, agriculture, etc.; High scalability: plug-in / matrix mode meets rapid iteration and new business needs

[0136] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Common changes and substitutions made by those skilled in the art within the scope of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A universal cross-industry digital base, characterized in that: The digital base comprises: Physical model layer: used to unify the abstraction of production processes and business processes of different industries based on product structure, process principle, physical flow, and time and space changes; In this physical model layer, multi-level structure definitions are performed for materials or products, each process is parameterized and recorded, and traceability management is performed on the material flow and batch characteristics in time and space dimensions. Cost element layer: coupled with the physical model layer, used to record and calculate raw material costs, equipment usage costs, labor hours, energy consumption, outsourcing costs and other derivative costs; When process execution or inventory change events occur at the physical model layer, the corresponding cost elements are automatically updated or accumulated to form dynamic cost tracking for unit materials, batches or orders; Plug-in / matrix extension architecture: a plug-in interface and a matrix function combination module are set in the digital base, and each plug-in corresponds to a set of industry or enterprise-specific process extension fields, financial strategies, quality inspection items or management forms; By combining different plug-ins in a matrix structure, it is easy to meet the differentiated needs of multiple industry scenarios without modifying the core physical model and cost factor layer; Event / matters management module: used to record the temporal and spatial changes of materials in production, inspection, logistics, outsourcing, and energy consumption measurement. Whenever a new item is recorded, it triggers automatic updates or status changes to the cost element layer and physical model layer, and maintains data consistency within the system. Cross-system interface module: provides external API or data bus to exchange data with external ERP, MES, WMS, SCM or financial systems, supports mapping of fields or business logic of external systems when plug-ins are extended, and links external information with the physical model layer and cost element layer of the base to update.

2. A universal cross-industry digital base according to claim 1, characterized in that: The digital base also includes a visualization analysis layer for displaying multi-dimensional correlation between the data of the physical model layer and the cost element layer. The visualization analysis layer includes one or more of the following contents: Production process dashboard, inventory heat map, cost collection report and outsourcing progress Gantt chart.

3. A universal cross-industry digital base according to claim 2, characterized in that: The plug-in / matrix extension architecture automatically calls the corresponding plug-in collection according to the industry type or scenario tag specified by the user, and takes effect immediately on the physical model layer and the cost element layer after loading, thereby achieving rapid switching of cross-industry deployment.

4. A universal cross-industry digital base according to claim 3, characterized in that: The digital base also includes an MRP / APS plug-in module, which reads the work-in-progress, process route, production capacity information in the physical model layer, as well as the material prices and outsourcing costs in the cost element layer, performs material demand reverse scheduling or production scheduling optimization, and then writes the results back to the event / matters management module.

5. A design method for a universal cross-industry digital base, characterized in that: The universal cross-industry digital base comprising any one of claims 2 to 4, wherein the design method thereof comprises the following steps: Establish a unified physical model: Based on product structure, process principle, physical flow, and spatiotemporal changes, the core elements of multiple industries are abstracted to form the underlying data structure and association relationship, and the multi-level structure, process route, in-stock / in-process status and location, and batch attributes of materials or products are defined in the same spatiotemporal dimension framework; Integrate multi-dimensional cost elements: Based on the physical model, define the cost fields of raw materials, labor hours, equipment depreciation, energy consumption, and outsourcing costs, determine the trigger conditions and calculation methods for updating each cost field over time, process or inventory flow, and associate them with the physical model layer in a two-way manner; Plug-in / matrix expansion configuration: pre-define or provide a series of plug-in units for different industries or enterprise scenarios, and set up a matrix assembly strategy in the digital base. When it is necessary to adapt to a certain industry or project, combine and load the corresponding plug-in to automatically generate or update the required process fields, data forms, and financial parameters without modifying the underlying physical model or cost element structure; Event-driven and real-time update: The digital base is configured with an event / event management module to record dynamic events from production, testing, logistics or outsourcing links. After each event is triggered, the physical model layer and the cost element layer are synchronously updated or accumulated to ensure that the material flow path and cost consumption can be traced at any time; Interface docking and cross-system collaboration: A unified API or data bus is set up in the digital base to map the fields or business logic of external ERP, MES, WMS, SCM, IoT, and financial systems. When new industry plug-ins or business function requirements arise, they can be configured in the cross-system interface module to take effect within the base and achieve cross-system data sharing without rebuilding the database structure.

6. The design method of a universal cross-industry digital base according to claim 5, characterized in that: When an access request from a new factory or a new outsourced factory is detected, the corresponding spatial location or outsourced node record is created in the event / matter management module, triggering automatic configuration and loading of related plug-ins to expand the management scope of the spatiotemporal change layer and the cost element layer.

7. The design method of a universal cross-industry digital base according to claim 5, characterized in that: In the plug-in / matrix extension configuration step, configure the "Outsourcing Collaboration Plug-in" for outsourcing production or cross-organizational collaboration scenarios, including fields for outsourcing unit identification, outsourcing quotation model, and outsourcing quality inspection specifications, and establish the corresponding "Outsourcing Fee" cost field in the digital base to achieve dynamic collection and visual management.

8. The design method of a universal cross-industry digital base according to claim 5, characterized in that: The cross-system interface module also supports recording key information of key materials in and out of storage, inspection results, quality certification, and outsourcing processes in the form of blockchain or distributed ledgers, which is used to improve data credibility and anti-tampering capabilities in multi-enterprise collaboration or supply chain management.

9. A method for designing a universal cross-industry digital base according to claim 8, characterized in that: The visualization analysis layer also includes statistical analysis of equipment operating status, energy consumption monitoring data, production line abnormality alarms and historical batch yields, and can perform multi-dimensional backtracking and comparison based on the timeline or process path.

10. The design method of a universal cross-industry digital base according to claim 8, characterized in that: Integrate predictive analysis functions in the event-driven and real-time update steps: When the event / event management module detects abnormal changes in process parameters or inventory of a batch, it automatically calls the preset algorithm model to predict and warn of subsequent production, quality or cost risks, and prompts relevant business personnel in the form of charts or alarms in the visual analysis layer.

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