Method, system, equipment and medium for realizing unified process nanotube

Abstract

The invention provides a method, a system, equipment and a medium for realizing unified process management, and the method comprises the steps: building an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, and achieving the standardized access and elastic data management of a heterogeneous system through the combination of dynamic business object modeling; a four-layer processing system with data full life cycle management as a core is constructed, and flow data standardization management is achieved through a dynamic rule engine and hierarchical storage; a full-link process intelligent sensing and self-adaptive early warning system is constructed, and a rule engine is used for driving multi-stage alarm closed-loop management, process abnormity active sensing and hierarchical management and control; an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, and end-to-end process efficiency quantitative evaluation and continuous improvement are realized through dynamic digital twinning, so that the problems of data real-time performance, system compatibility and implementation economy of a process management technology based on a data platform are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of enterprise process management, and in particular to an implementation method, system, device and medium for unified process management. BACKGROUND

[0002] The demand for enterprise digital integration has surged, and as the digital transformation of enterprises accelerates, large groups generally have multiple business systems (such as OA, SAP, financial systems, etc.) coexisting.

[0003] 1. Independent operation of processes between systems leads to: formation of process data islands non-uniform process standards difficulty in monitoring and analysis 2. Process governance technology has developed since 2015, and the maturity of process mining technology provides a basis for multi-system process analysis. Gartner statistics show that 50% of large enterprises worldwide have adopted process intelligence platforms in 2023. However, existing technologies have the defect of only supporting single-system analysis and lacking unified modeling capabilities for heterogeneous systems.

[0004] The existing technical solution mainly adopts a data center aggregation mode through the current mainstream technical solution for enterprise process management, which realizes centralized management by extracting process data from various business systems. The specific implementation method is as follows: first, extract process instance data from OA, ERP, CRM, and other heterogeneous systems through ETL tools or API interfaces; second, establish a unified data model in the data center to standardize the process data from different sources; finally, use process mining tools to analyze the aggregated historical data, identify process bottlenecks, and generate optimization suggestions.

[0005] This solution has three technical features: First, it realizes the unified storage of multi-source heterogeneous process data; Second, it provides global process visualization capabilities; Third, it can conduct retrospective analysis based on historical data.

[0006] At the same time, this technical solution has obvious defects in actual application: First, data quality is difficult to guarantee, and the differences in data formats between different systems lead to high mapping error rates, especially the misalignment of key information such as post codes and process nodes in the approval process; Second, the timeliness is poor, as the batch synchronization mechanism is adopted, the data analysis results often have a time difference from the actual running situation; Third, cross-system process tracking is difficult, and the lack of a unified process instance identifier makes it difficult to completely restore end-to-end processes; Finally, the implementation cost is high, and the original system needs to be technically transformed to adapt to the data extraction requirements, among which the interface development and data cleaning work occupies the main cost of the project.

[0007] In summary, the existing process management technology based on data platform needs to be improved in terms of data real-time, system compatibility and implementation economy, and more intelligent technical means need to be introduced to improve the efficiency of process management. SUMMARY

[0008] To overcome the problems in the related art, the present disclosure provides a unified process management implementation method, system, device and medium to solve the technical problems of data real-time, system compatibility and implementation economy in the related art based on data platform process management technology.

[0009] One or more embodiments of the present specification provide a unified process management implementation method, comprising the following steps: Based on the multi-protocol adaptation layer and the dual-interface separation mechanism, an extensible access architecture is constructed, and dynamic business object modeling is combined to realize standardized access and flexible data management of heterogeneous systems; A four-layer processing system is constructed with data full life cycle management as the core, and dynamic rule engine and layered storage are used to realize standardized management of process data; A full-link process intelligent perception and adaptive early warning system is constructed, and multi-level alarm closed-loop management is driven by a rule engine to actively perceive and grade control process abnormalities; An intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, and dynamic digital twinning is used to realize end-to-end process efficiency quantitative evaluation and continuous improvement.

[0010] Preferably, the multi-protocol adaptation layer and the dual-interface separation mechanism are used to construct an extensible access architecture, and dynamic business object modeling is combined to realize standardized access and flexible data management of heterogeneous systems, specifically including the following steps: Based on the protocol conversion engine, multi-protocol and multi-format messages are automatically parsed, and a high-availability and standardized heterogeneous system is constructed through a unified interface specification and API gateway cluster; Based on the dual-interface separation mechanism of the main process synchronization interface and the auxiliary asynchronous interface, core business low latency and non-critical data high throughput are decoupled; Through parallel table structure to solidify core metadata and dynamic expansion field decoupling design, combined with business domain sharding rules and dynamic metadata management, expand business objects and store massive data.

[0011] Preferably, the four-layer processing system is constructed with data full life cycle management as the core, and dynamic rule engine and layered storage are used to realize standardized management of process data, specifically including the following steps: The data verification engine adopts a rule engine and a verification pipeline dual driving mechanism, and realizes field level real-time verification through pre-set verification rule templates. Abnormal data is intercepted through automatic rules, triggering a three-level interception strategy. Through dynamic mapping of the rule library, heterogeneous data is standardized, and unstructured data cleaning and structured output are realized. The historical process full data is stored in a cold and hot layered storage architecture to implement three-level standardized storage. Based on the process instance ID and business primary key, the process basic data and link data are automatically associated, and through the event-driven mechanism, they are synchronized to the data center in real time.

[0012] Preferably, the construction of the whole-link process intelligent perception and adaptive early warning system drives multi-level alarm closed-loop management through the rule engine, actively perceives and controls process abnormalities at different levels, and specifically includes the following steps: Based on distributed event collection and WebSocket incremental update mechanism, a real-time process state monitoring system is constructed, and through lightweight Agent log grabbing and Redis hot data polling, multi-node running state visualization and low-latency feedback are realized. Based on the time limit rule engine and the pre-set process time limit matrix, an adaptive early warning system is constructed to realize automatic identification of overdue nodes, accurate positioning of blocked links and early warning triggering. Based on the event level and channel priority matching strategy, a multi-level alarm execution system is constructed to realize accurate contact with responsible persons within 30 seconds for P0 level abnormalities, and to ensure immediate response to critical failures. Real-time calculation of process execution efficiency and integrity generates health score and optimization suggestions.

[0013] Preferably, the construction of the intelligent closed-loop optimization system based on holographic modeling and AI diagnosis realizes end-to-end process efficiency quantitative evaluation and continuous improvement through dynamic digital twinning, and specifically includes the following steps: Based on log analysis and algorithm mining, an end-to-end holographic process topology model is constructed, and the deviation between actual path and standard process is visualized through a heat map to realize automatic identification and risk positioning of process running deviation. Based on multi-dimensional index quantification, an intelligent bottleneck positioning system is constructed to automatically identify inefficient nodes and perform root cause analysis, and dynamically generate optimization suggestions. Based on the digital twinning model and discrete event simulation engine, a dynamic sand table optimization system is constructed to deduce adjustment resources, predict process cycle time, quantify ROI evaluation, and form closed-loop optimization decisions.

[0014] Preferably, the intelligent bottleneck positioning system is deployed with a three-layer diagnosis model, including a basic layer, a resource layer and a diagnosis layer. The basic layer decomposes and quantifies the time sequence of the node PT / WT fluctuation rule; The resource layer adopts data envelopment analysis to calculate the human / system resource consumption ratio; The diagnosis layer generates a four-dimensional radar chart based on the diagnosis result and automatically pushes optimization suggestions.

[0015] One or more embodiments of the present specification provide an implementation system of unified process management, including a system access module, a data processing module, a process management module, and an optimization module. The system access module is configured to construct an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, and realize standardized access and elastic data management of heterogeneous systems in combination with dynamic business object modeling. The data processing module is configured to construct a four-layer processing system with data full life cycle management as the core, and realize standardized management of process data through a dynamic rule engine and layered storage. The process management module is configured to construct a full-link process intelligent perception and adaptive early warning system, and realize multi-level alarm closed-loop management, active perception of process abnormalities, and hierarchical control through a rule engine. The optimization module is configured to construct an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis, and realize end-to-end process efficiency quantitative evaluation and continuous improvement through dynamic digital twinning.

[0016] Preferably, the system access module includes a protocol adaptation unit, a dual-interface unit, and a business object construction unit. The protocol adaptation unit is configured to automatically parse multiple protocols and multiple formats of messages based on a protocol conversion engine, and construct a highly available and standardized heterogeneous system through a unified interface specification and an API gateway cluster. The dual-interface unit is configured to process core business low latency and non-critical data high throughput decoupling based on a dual-interface separation mechanism of a main process synchronous interface and an auxiliary asynchronous interface. The business object construction unit is configured to design core metadata and dynamic extension field decoupling through parallel table structure, and extend business objects and store massive data in combination with business domain sharding rules and dynamic metadata management.

[0017] One or more embodiments of the present specification provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the implementation method of the unified process management as described above when executing the computer program.

[0018] The one or more embodiments of the specification provide a computer readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the implementation method of the unified process management.

[0019] The implementation method, system, device and medium of the unified process management provided by the disclosure have the advantages that, by constructing an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, combined with dynamic business object modeling, standardized access and elastic data management of heterogeneous systems are realized, various communication protocols such as REST and SOAP can be seamlessly compatible, the data structure differences of heterogeneous systems are automatically adapted, data mapping and interaction between different systems are realized, and system expansion capability is improved; a four-layer processing system with data full life cycle management as the core is constructed, standardized management of process data is realized through a dynamic rule engine and layered storage, the complete process of data from collection, cleaning, analysis to application is covered, and standardized processing of data at each stage is ensured, hot data is stored in a cache to ensure fast access, cold data is archived to save storage resources, efficient use of storage resources is realized, not only the data islands are eliminated, the consistency and integrity of cross-system data are realized, but also manual intervention is reduced through automatic rule execution, the data processing error rate is reduced, and standardized and efficient management of process data is realized; a full-link process intelligent sensing and adaptive early warning system is constructed, multi-level alarm closed-loop management is driven through a rule engine, process anomalies are actively sensed and controlled in stages, the system can predict risks before the actual occurrence of process anomalies, the mode of passive response to problems is changed, and the loss caused by faults is reduced; at the same time, the hierarchical control strategy ensures that resources can be preferentially invested in the solution of key problems, and the overall efficiency of problem processing and resource utilization effectiveness are improved; an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, end-to-end process efficiency quantitative evaluation and continuous improvement are realized through dynamic digital twinning, the system verifies the effect through digital twinning, compares the actual process performance with the expected optimization target, quantitatively evaluates the improvement of process efficiency, realizes end-to-end process efficiency quantitative evaluation and continuous improvement, and continuously improves the quality and efficiency of the overall process, providing strong support for business development. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the one or more embodiments of the specification or the prior art, brief descriptions will be given to the drawings needed in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative labor.

[0021] Figure 1 The business relationship diagram provided by the one or more embodiments of the specification; Figure 2 A flowchart of an implementation method of unified process management is provided for one or more embodiments of the present specification. Figure 3 A business object and database table relationship is provided for one or more embodiments of the present specification. Figure 4 A structural diagram of an implementation system of unified process management is provided for one or more embodiments of the present specification. Figure 5 A structural diagram of a computer device is provided for one or more embodiments of the present specification. DETAILED DESCRIPTION

[0022] In order to make the person skilled in the art better understand the technical scheme in one or more embodiments of the present specification, the technical scheme in one or more embodiments of the present specification will be described clearly and completely in conjunction with the drawings in one or more embodiments of the present specification. Obviously, the described embodiments are only part of the embodiments of the present specification, not all embodiments. Based on one or more embodiments of the present specification, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present specification.

[0023] The present application will be described in detail below in conjunction with the specific embodiments and the drawings of the specification.

[0024] Method embodiment The embodiment of the present application adopts an innovative integration mode of API+ESB, and realizes the full life cycle management of cross-system processes in enterprises by establishing a standardized data transmission and processing mechanism. In the data access layer, the system designs a flexible multi-protocol adaptation mechanism, which not only supports modern interface specifications such as RESTful API, but also ensures the seamless access of various business systems (including OA, ERP, CRM, etc.). The data processing layer adopts a rule engine, equipped with core functions such as data quality checking, format conversion, exception handling, etc., and through the main-subtable automatic association algorithm, a complete process data view is constructed. As shown in the following figure, a business relationship diagram is provided for the embodiment. Figure 1

[0025] According to the embodiment of the present application, an implementation method of unified process management is provided, as shown in the following figure, a flowchart of the implementation method of unified process management is provided for the embodiment. According to the implementation method of unified process management of the embodiment of the present application, the following steps are included: Figure 2 ​​S210, based on the multi-protocol adaptation layer and the dual-interface separation mechanism, an extensible access architecture is constructed, combined with dynamic business object modeling to realize standardized access and elastic data management of heterogeneous systems, which can support multi-protocol (RESTful / WebService) access, compatible with OA, SAP, and heterogeneous system process data, and the dual-interface separation mechanism separates the main process interface (metadata receiving) and the auxiliary data interface (approval record, form detail synchronization), ensuring data integrity.

[0026] The multi-protocol access architecture eliminates the protocol differences of heterogeneous systems through the protocol conversion engine, unified interface specification, and API gateway cluster, realizes standardized access, and divides the main process and auxiliary data interface through the dual-interface separation mechanism, ensuring the real-time performance of the core process and the response efficiency of the system, achieving the goal of efficient and stable interaction between systems. Business object modeling uses parallel table structure and horizontal expansion strategy, which can not only solidify core data, but also flexibly expand business fields, and also controls data volume through database and table separation, improves data storage and query performance, and meets the dynamic change needs of business.

[0027] S220, a four-layer processing system is constructed with data full life cycle management as the core, through dynamic rule engine and layered storage to realize standardized management of process data, specifically, the data verification engine combines rule engine and verification pipeline, cooperates with three-level interception strategy, ensures data accuracy from field to system level; the data conversion module unifies heterogeneous data standards; three-level storage strategy optimizes storage cost and query efficiency according to data usage frequency, realizes precise management and efficient utilization of data full life cycle.

[0028] S230, a full-link process intelligent perception and adaptive early warning system is constructed, through rule engine driven multi-level alarm closed loop management, process exception active perception and hierarchical control, which can realize real-time process tracking system to collect logs and push state in real time through WebSocket, realize process dynamic monitoring; intelligent early warning decision center identifies risks based on time efficiency rule engine; multi-level alarm execution system notifies according to risk classification; key process escort pays attention to high value process, and guarantees process stable operation from all directions, reduces abnormal risk.

[0029] S240, an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, through dynamic digital twin to realize end-to-end process efficiency quantitative evaluation and continuous improvement, among which, holographic process modeling generates topology graph by analyzing logs, identifies process deviation; intelligent bottleneck positioning diagnoses problems from multiple dimensions and gives suggestions; dynamic simulation optimization predicts optimization effect by means of digital twin model, forms a closed loop from insight to landing, drives continuous optimization and upgrading of process.

[0030] The method provided by the embodiment can seamlessly compatible with various communication protocols such as REST and SOAP, automatically adapt the data structure difference of heterogeneous systems, realize data mapping and interaction between different systems, and improve system expansion capability; build a four-layer processing system with data full life cycle management as the core, realize standardized management of process data through a dynamic rule engine and layered storage, cover the complete process of data from collection, cleaning, analysis to application, ensure that data can be processed in a standardized manner at each stage, store hot data in cache to ensure fast access, archive cold data to save storage resources, realize efficient use of storage resources, not only eliminate data silos and realize consistency and integrity of cross-system data, but also reduce manual intervention and reduce data processing error rate through automatic rule execution, realize standardized and efficient management of process data; build a full-link process intelligent sensing and adaptive early warning system, drive multi-level alarm closed-loop management through a rule engine, actively sense and grade control process abnormalities, so that the system can predict risks before the actual occurrence of process abnormalities, change the previous passive problem-solving mode, and reduce the loss caused by faults; at the same time, the grading control strategy ensures that resources can be preferentially invested in solving key problems, improving the overall efficiency of problem solving and resource utilization efficiency; build an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis, realize end-to-end process efficiency quantitative evaluation and continuous improvement through dynamic digital twinning, and the system verifies the effect through digital twinning, compares the actual process performance with the expected optimization target, quantitatively evaluates the improvement of process efficiency, realizes end-to-end process efficiency quantitative evaluation and continuous improvement, and continuously improves the quality and efficiency of the overall process, providing strong support for business development.

[0031] In one embodiment, step S210, based on a multi-protocol adaptation layer and a dual-interface separation mechanism, an extensible access architecture is constructed, and standardized access and flexible data management of heterogeneous systems are realized in combination with dynamic business object modeling, specifically including the following steps: Based on the protocol conversion engine, multi-protocol and multi-format messages are automatically parsed, the protocol conversion engine is adopted, RESTful and WebService protocols are automatically identified and converted, SOAP / XML and JSON format message parsing are compatible, a high-availability and standardized heterogeneous system is constructed through a unified interface specification and API gateway cluster, a unified interface specification (including authentication, encryption, message structure) is defined, standardized access of heterogeneous systems (OA / SAP / Secretary) is realized through a protocol gateway, an API gateway cluster is deployed, and protocol conversion, traffic control, fuse degradation and other management capabilities are realized.

[0032] A dual-interface separation mechanism, based on a main process synchronous interface and auxiliary asynchronous interfaces, decouples core business processes from non-critical data throughput. This dual-interface separation mechanism includes: Main process interface: processes process metadata (process instance ID, business type, initiator information, etc.), adopts synchronous call mode, and has a response time of ≤500ms.

[0033] Subsidiary data interface: Asynchronously processes non-core data such as approval history and form attachments.

[0034] By solidifying core metadata and decoupling dynamic expansion fields through a parallel table structure, and combining business domain sharding rules with dynamic metadata management, business objects and massive amounts of data can be expanded and stored.

[0035] Parallel table structure design: --Fixed field main table CREATE TABLE busi_object ( bill_id VARCHAR(64) PRIMARY KEY, sys_source VARCHAR(32) NOT NULL, -- Source system bill_type VARCHAR(32) NOT NULL, create_time DATETIME DEFAULT CURRENT_TIMESTAMP, update_time DATETIME ON UPDATE CURRENT_TIMESTAMP ...... ); -- Dynamically extend table CREATE TABLE busi_extend ( obj_id VARCHAR(64), field_name VARCHAR(64), field_value TEXT, PRIMARY KEY(obj_id, field_name) ... ENGINE=InnoDB; Fixed fields contain core identifiers for business objects and system-level attributes, while dynamic fields support JSON Schema definitions for extension rules, enabling horizontal scaling of physical tables and logical business objects. For example... Figure 3 The diagram shows the relationship between the business objects and the database tables provided in this embodiment.

[0036] ‌Horizontal expansion strategy: Dynamic field metadata management: Maintain field types, verification rules, and mapping relationships through metadata of business objects.

[0037] Database and table splitting rules: Hash splitting by business domain + system source, with single table data volume controlled within 5 million.

[0038] The method provided by the embodiment realizes efficient integration and data management of heterogeneous systems through multi-dimensional technical means. At the protocol adaptation level, the protocol conversion engine automatically parses multiple protocol and multiple format messages, cooperates with the unified interface specification and the API gateway cluster, realizes the standardized access of heterogeneous systems, and guarantees high availability; the dual-interface separation mechanism ensures low-latency response of core business through the main process synchronization interface, and processes non-critical data through the auxiliary asynchronous interface to realize high throughput, effectively decoupling the two types of business resources; in the storage design, the parallel table structure separates the core metadata and the dynamic expansion field, combined with the business domain splitting rule and the dynamic metadata management, both ensures the stability of the core architecture and flexibly expands the business objects and stores massive data.

[0039] In one embodiment, step S220, a four-layer processing system is constructed with data full life cycle management as the core, and process data standardized management is realized through dynamic rule engine and layered storage, specifically including the following steps: The data verification engine adopts a rule engine and verification pipeline dual-driving mechanism, realizes real-time verification at the field level through 200+ preset verification rule templates, including format verification (regular expression matching), logic verification (amount hook verification relationship), and business rule verification (approval time threshold control), verifies the completeness of the document data (such as field mandatory, format compliance) and business rule compliance (amount matching, approval time), and built-in automatic rule intercepts abnormal data.

[0040] Abnormal data is intercepted through automatic rules, triggering a three-level interception strategy, including field-level error real-time reminder, business rule violation manual review queue, and system-level error writing to the dead letter queue, with verification response time controlled within 200ms.

[0041] Through dynamic mapping rule library, heterogeneous data is standardized, and built-in organizational structure tree coding converter (such as: administrative department coding→financial cost center coding) is used to convert heterogeneous data into a unified format through the field mapping rule library (compatible with OA / SAP / Secretary systems), complete the basic file (organization / customer) coding standardization, realize unstructured data cleaning and structured output.

[0042] The historical process full data is stored in a cold and hot layered storage architecture to implement three-level standardized storage. The hot data (within half a year) is stored in a columnar storage to support real-time query. The warm data (within two years) is stored by using a compression archiving technology to reduce storage cost by 60%. The cold data (more than 10 years) is stored in object storage to support version backtracking and long-term traceability.

[0043] The process instance ID and the business primary key (such as a contract number) are used to automatically associate the process basic data (initiator / time) and the link data (approval record / form change). The event-driven mechanism is used to realize real-time synchronization to the data center.

[0044] The method provided in the embodiment realizes standardized management of process data through a layered architecture and dynamic rules. In the data verification link, a rule engine and a verification pipeline are driven by a double driving mechanism. A preset template is used to realize real-time verification at the field level, so as to ensure data accuracy. A three-level interception strategy triggered by an automatic rule can accurately block abnormal data and avoid pollution of data links. In the face of heterogeneous data, a dynamic mapping rule library can standardize the data, complete unstructured data cleaning and structured output, and eliminate data format differences. In terms of storage, a cold and hot layered storage architecture is combined with three-level standardized storage to classify and manage historical process full data, so as to improve storage efficiency and resource utilization. In addition, based on the process instance ID and the business primary key, process basic data and link data are automatically associated, and the event-driven mechanism is used to realize real-time synchronization to the data center, so as to guarantee data integrity and timeliness.

[0045] In one embodiment, step S230, a full-link process intelligent sensing and adaptive early warning system is constructed. A multi-level alarm closed-loop management is driven by a rule engine. Process abnormalities are actively sensed and controlled in stages. The steps include the following steps: Based on a distributed event collection and a WebSocket incremental update mechanism, a real-time process state monitoring system is constructed to dynamically monitor process push state and progress. A lightweight agent log is deployed to collect BPM engine node logs. A WebSocket long connection is used to push state change events. The front end polls hot process instances in Redis cache to realize multi-node running state visualization and low-latency feedback.

[0046] Based on a time-sensitive rule engine and a preset process time-sensitive matrix (such as contract approval ≤48h), an adaptive early warning system is constructed to realize automatic identification of overdue nodes, accurate positioning of blocked links and early warning triggering. The rule syntax defines the overdue condition (node WT>threshold&¤t state=to be processed). The preset process time-sensitive threshold (such as more than 48 hours) automatically triggers the early warning and locates the blocked link.

[0047] Based on the event level and channel priority matching strategy, a multi-level alarm execution system is constructed to realize the accurate reach of the responsible person within 30 seconds for P0 level abnormality, guarantee the immediate response for critical failure, for example, through Dingding / WeChat Enterprise / sms hierarchical push alarm, the responsible person is reached within 30 seconds for P0 level abnormality. Multi-level alarm hierarchical strategy configuration: P0 level (system level failure) P1 level (overdue risk) P2 level (efficiency anomaly).

[0048] Real-time calculation of process execution efficiency and integrity, generation of health score and optimization suggestions, and establishment of VIP process library (such as contracts with an amount of more than 1 million yuan), support for subscribing to node-level state changes of specific instances.

[0049] The method provided by the embodiment realizes intelligent perception and active control of the process through multi-technology cooperation. In the real-time monitoring layer, distributed event collection combined with WebSocket incremental update, together with lightweight Agent log grabbing and Redis hot data polling, can quickly capture the running state of multiple nodes, realize low-delay visual feedback, and let the process dynamics be under control at any time; the adaptive early warning system relies on the time limit and rule engine and the process time limit matrix, can automatically identify overdue nodes, accurately locate the blocking link, and timely trigger early warning, and kill the problem in the embryonic stage; the multi-level alarm execution system ensures that the responsible person is accurately notified within 30 seconds for P0 level abnormality according to the event level and channel priority, significantly improves the response speed for critical failure; in addition, the system can also real-time calculate the process execution efficiency and integrity, generate health score and optimization suggestions, and provide data support for continuous optimization of the process.

[0050] In one embodiment, step S240, an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, end-to-end process efficiency is quantitatively evaluated and continuously improved through dynamic digital twinning, specifically including the following steps: Based on log analysis and algorithm mining, an end-to-end holographic process topology model is constructed to automatically mine the end-to-end process path, the deviation degree of the actual path and the standard process is visualized through a heat map, a deviation heat map is generated to realize automatic identification and risk positioning of process running deviation.

[0051] Based on multi-dimensional index quantification, an intelligent bottleneck positioning system is constructed to automatically identify inefficient nodes and perform root cause analysis, and dynamically generate optimization suggestions, wherein the multi-dimensional quantification includes node processing time (PT), waiting time (WT) and resource consumption ratio, and AI drives the positioning of inefficient nodes.

[0052] A dynamic sand table optimization system is constructed based on a digital twin model and a discrete event simulation engine, resource rules are deduced and adjusted, process cycle time is predicted, ROI is quantitatively evaluated, and closed-loop optimization decisions are formed, sand table simulation of resource allocation / rule adjustment is supported, process cycle time (CT) optimization space is predicted, and an ROI evaluation report is automatically generated, wherein the dynamic simulation optimization integrates a discrete event simulation engine to construct a digital twin process model with constraint conditions.

[0053] The method provided in the embodiment realizes intelligent evaluation and continuous optimization of the process by fusing holographic modeling, AI diagnosis and digital twin technology. In the process monitoring link, the end-to-end holographic process topology model constructed based on log analysis and algorithm mining, combined with heat map visualization technology, can accurately identify the deviation from the standard path in the process running process, quickly locate potential risk points; the intelligent bottleneck positioning system can automatically lock the inefficient nodes in the process through multi-dimensional index quantitative analysis, and further dig the root causes, and generate optimization suggestions accordingly; the dynamic sand table optimization system relies on the digital twin model and the discrete event simulation engine to simulate and deduce the adjustment schemes of resource allocation and process rules, predict the process cycle time changes in advance, quantitatively evaluate the input-output ratio (ROI), and thus form a scientific closed-loop optimization decision.

[0054] In one embodiment, the intelligent bottleneck positioning system is deployed with a three-layer diagnostic model, including a basic layer, a resource layer and a diagnostic layer.

[0055] The basic layer quantifies the PT / WT fluctuation rule through time series decomposition.

[0056] The resource layer calculates the human / system resource consumption ratio by data envelopment analysis.

[0057] The diagnostic layer generates a four-dimensional radar chart based on the diagnostic results, and automatically pushes optimization suggestions.

[0058] The method provided in the embodiment, the three-layer model works cooperatively to form a complete link from time dynamics, resource efficiency to comprehensive diagnosis, realize automatic positioning of process bottlenecks and data-driven optimization decisions, effectively improve process efficiency and resource utilization, and reduce manual analysis cost.

[0059] System embodiment According to the embodiment of the present application, an implementation system of unified process management is provided, as shown in Figure 4 The structure diagram of the implementation system of unified process management provided in the embodiment, according to the implementation system of unified process management of the embodiment of the present application, includes a system access module 41, a data processing module 42, a process management module 43 and an optimization module 44.

[0060] The system access module 41 is configured to construct an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, and realize standardized access and elastic data management of heterogeneous systems in combination with dynamic business object modeling.

[0061] The data processing module 42 is configured to construct a four-layer processing system with data full life cycle management as the core, and realize standardized management of process data through a dynamic rule engine and layered storage.

[0062] The process management module 43 is configured to construct a full-link process intelligent perception and adaptive early warning system, and realize multi-level alarm closed-loop management, active perception of process abnormalities and hierarchical control through a rule engine.

[0063] The optimization module 44 is configured to construct an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis, and realize end-to-end process efficiency quantitative evaluation and continuous improvement through dynamic digital twinning.

[0064] The system provided in the embodiment can seamlessly compatible with various communication protocols such as REST and SOAP, automatically adapt the data structure differences of heterogeneous systems, realize data mapping and interaction between different systems, and improve system expansion capability, by constructing an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism through the system access module 41, and realizing standardized access and elastic data management of heterogeneous systems in combination with dynamic business object modeling. The data processing module 42 constructs a four-layer processing system with data full life cycle management as the core, and realizes standardized management of process data through a dynamic rule engine and layered storage, covering the complete process of data from collection, cleaning, analysis to application, ensuring that data can be processed in a standardized manner at each stage, storing hot data in a cache to ensure fast access, archiving cold data to save storage resources, and realizing efficient use of storage resources. Not only does this eliminate data silos and realize consistency and integrity of cross-system data, but also reduces manual intervention and data processing error rate through automatic rule execution, and realizes standardized and efficient management of process data. The process management module 43 constructs a full-link process intelligent perception and adaptive early warning system, and realizes multi-level alarm closed-loop management, active perception of process abnormalities and hierarchical control through a rule engine, so that the system can predict risks before process abnormalities actually occur, change the previous passive problem-solving mode, and reduce losses caused by faults. At the same time, the hierarchical control strategy ensures that resources can be preferentially invested in solving key problems, improving the overall efficiency of problem solving and resource utilization efficiency. The optimization module 44 constructs an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis, and realizes end-to-end process efficiency quantitative evaluation and continuous improvement through dynamic digital twinning. The system verifies the effect through digital twinning, compares actual process performance with expected optimization targets, quantitatively evaluates the improvement of process efficiency, realizes end-to-end process efficiency quantitative evaluation and continuous improvement, and continuously improves the quality and efficiency of the overall process, providing strong support for business development.

[0065] In one embodiment, the system access module 41 comprises a protocol adaptation unit, a dual-interface unit and a service object construction unit.

[0066] The protocol adaptation unit is configured to automatically parse multiple protocol and multiple format messages based on a protocol conversion engine, and to build a high-availability and standardized heterogeneous system through a unified interface specification and an API gateway cluster.

[0067] The dual-interface unit is configured to process core service low latency and non-critical data high throughput decoupling based on a dual-interface separation mechanism of a main process synchronous interface and an auxiliary asynchronous interface.

[0068] The service object construction unit is configured to decouple design of core metadata and dynamic expansion fields through a parallel table structure, and to expand service objects and store massive data in combination with business domain sharding rules and dynamic metadata management.

[0069] The system provided in the embodiment realizes efficient integration and data management of heterogeneous systems through multiple technical means. At the protocol adaptation level, the protocol conversion engine automatically parses multiple protocol and multiple format messages, and cooperates with the unified interface specification and the API gateway cluster to realize standardized access of the heterogeneous system and guarantee high availability. The dual-interface separation mechanism ensures core service low latency response through the main process synchronous interface, and processes non-critical data through the auxiliary asynchronous interface to realize high throughput, thereby effectively decoupling the two types of business resources. At the storage design level, the parallel table structure separates core metadata and dynamic expansion fields, and in combination with the business domain sharding rules and the dynamic metadata management, the core architecture is guaranteed to be stable, and the service objects can be flexibly expanded and massive data can be stored.

[0070] The embodiment of the application is a system embodiment corresponding to the above-mentioned method embodiment, and the specific operations of each module processing step can be understood with reference to the description of the method embodiment, which will not be repeated here.

[0071] As shown in Figure 5 The application further provides a computer readable storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the implementation method of the uniform process management in the above-mentioned embodiment, or the computer program is executed by the processor to implement the implementation method of the uniform process management in the above-mentioned embodiment.

[0072] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium used in each embodiment provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0073] Each embodiment in the specification is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the device or system embodiment, since it is basically similar to the method embodiment, it is described more simply, and the relevant part can be referred to the part of the method embodiment. The above-described device and system embodiments are only illustrative, and the units described as separate components can be or can not be physically separated, and the components displayed as units can be or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0074] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions recorded in the above embodiments can still be modified, or some or all of the technical features can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and the contents not described in detail in the specification of the present application belong to the common knowledge of those skilled in the art.

Claims

1. An implementation method of unified process management, characterized in that, It comprises the following steps: Based on the multi-protocol adaptation layer and the dual-interface separation mechanism, an extensible access architecture is constructed, and standardized access and flexible data management of heterogeneous systems are realized by combining dynamic business object modeling; A four-layer processing system is constructed with data full life cycle management as the core, and standardized management of process data is realized through dynamic rule engine and layered storage; A full-link process intelligent sensing and adaptive warning system is constructed, and multi-level alarm closed-loop management is driven by rule engine, and process anomalies are actively sensed and controlled by classification; An intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, and end-to-end process efficiency is quantitatively evaluated and continuously improved through dynamic digital twinning.

2. The method of claim 1, wherein, The multi-protocol multi-format message automatic analysis based on the protocol conversion engine, the high-availability and standardized heterogeneous system constructed by the unified interface specification and API gateway cluster, the dual-interface separation mechanism based on the main process synchronous interface and the auxiliary asynchronous interface to process the core business low delay and the non-critical data high throughput decoupling, and the parallel table structure to solidify the core metadata and the dynamic expansion field decoupling design, combined with the business domain sharding rules and dynamic metadata management to extend the business objects and store massive data. The four-layer processing system is constructed with data full life cycle management as the core, and standardized management of process data is realized through dynamic rule engine and layered storage, which comprises the following steps: The data verification engine adopts the rule engine and verification pipeline dual-drive mechanism, and realizes field-level real-time verification through the pre-set verification rule template; Abnormal data is intercepted through automatic rules, triggering a three-level interception strategy; 3. The method of claim 1, wherein the uniform process pipe management is implemented by: Through dynamic mapping rule library, heterogeneous data is standardized, and unstructured data cleaning and structured output are realized; The historical process full data is stored in a cold and hot layered storage architecture for three-level standardized storage; Based on the process instance ID and business primary key, the process basic data and link data are automatically associated, and real-time synchronization to the data center is realized through the event-driven mechanism. The full-link process intelligent sensing and adaptive warning system is constructed, the multi-level alarm closed-loop management is driven by the rule engine, and the process anomalies are actively sensed and controlled by classification, which comprises the following steps: Based on the distributed event collection and WebSocket incremental update mechanism, a real-time process state monitoring system is constructed, and multi-node running state visualization and low-delay feedback are realized through lightweight Agent log grabbing and Redis hot data polling; Based on the time limit rule engine and the pre-set process time limit matrix, an adaptive warning system is constructed, and automatic identification of overdue nodes, accurate positioning of blocked links and warning triggering are realized; 4. The method of claim 1, wherein, Based on the event level and channel priority matching strategy, a multi-level alarm execution system is constructed, and P0-level anomalies are accurately reached within 30 seconds, ensuring immediate response to critical failures; The process execution efficiency and integrity are calculated in real time, and health score and optimization suggestions are generated. ​ ​ ​ 5. The method of claim 1, wherein, The construction is based on the intelligent closed-loop optimization system of holographic modeling and AI diagnosis, and the end-to-end process efficiency is quantitatively evaluated and continuously improved through dynamic digital twinning, which specifically includes the following steps: Based on log analysis and algorithm mining, an end-to-end holographic process topology model is constructed, the deviation of actual path and standard process is visualized through a heat map, and the automatic identification and risk positioning of process operation deviation are realized; Based on multi-dimensional index quantization, an intelligent bottleneck positioning system is constructed, which automatically identifies inefficient nodes and performs root cause analysis, and dynamically generates optimization suggestions; Based on digital twinning model and discrete event simulation engine, a dynamic sand table optimization system is constructed, which deduces and adjusts resource rules, predicts process cycle time, quantitatively evaluates ROI, and forms closed-loop optimization decisions.

6. The method of claim 5, wherein, The intelligent bottleneck positioning system is deployed with three layers of diagnosis model, including basic layer, resource layer and diagnosis layer; The basic layer quantifies the PT / WT fluctuation law through time series decomposition; The resource layer uses data envelopment analysis to calculate the consumption ratio of manpower / system resources; The diagnosis layer generates a four-dimensional radar chart based on the diagnosis results, and automatically pushes optimization suggestions.

7. An implementation system for unified process management, characterized by comprising: It includes system access module, data processing module, process management module and optimization module; The system access module is used to construct an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, and to realize standardized access and flexible data management of heterogeneous systems by combining dynamic business object modeling; The data processing module is used to construct a four-layer processing system with data full life cycle management as the core, and to realize standardized management of process data through dynamic rule engine and hierarchical storage; The process management module is used to construct a full-link process intelligent perception and self-adaptive early warning system, which drives multi-level alarm closed-loop management through rule engine, actively perceives process abnormalities and controls in stages; The optimization module is used to construct an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis, and to realize end-to-end process efficiency quantification and continuous improvement through dynamic digital twinning.

8. The implementation system of uniform procedure administration of claim 7, wherein, The system access module includes protocol adaptation unit, dual-interface unit and business object construction unit; The protocol adaptation unit is used to automatically parse multiple protocols and formats based on protocol conversion engine, and to construct a high-availability and standardized heterogeneous system through unified interface specification and API gateway cluster; The dual-interface unit is used to handle the decoupling of core business low latency and non-critical data high throughput based on the dual-interface separation mechanism of main process synchronous interface and auxiliary asynchronous interface; The business object construction unit is used to design the parallel table structure to solidify the core metadata and decouple the dynamic expansion field, and to extend the business object and store massive data by combining business domain sharding rules and dynamic metadata management.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the implementation method of the unified process management of any one of claims 1 to 6.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to realize the steps of the implementation method of the unified process management of any one of claims 1 to 6.

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