98 results about "Business process management" patented technology

The invention discloses an intelligent approval rule modeling method oriented to process automation, and relates to the technical field of business process management, and the method comprises the following steps: S100, in a process of constructing a rule candidate set, extracting scene features, field semantic hierarchy and participation role information of each piece of historical approval data, generating a context semantic tag set, and establishing a rule candidate set; the method is used for subsequent rule difference modeling. According to the method, context semantic tags are introduced to be aligned with ternary features, so that the semantic boundary recognition capability of the rule is enhanced; constructing a rule feature matrix and a differentiation candidate set, and realizing accurate classification and processing of ambiguity rules; in combination with expression sensitivity enhancement and simulation verification, approval offset and risk are identified in advance; finally, the dynamic optimization of the rule model is realized through backtracking correction, the stability and accuracy of the rule model in multiple scenes are improved, and a closed-loop credible intelligent approval rule system is constructed.

The invention relates to the technical field of equipment full-life-cycle management, in particular to an equipment full-life-cycle tracing and management and control system based on digital threads. Comprising a digital thread generation unit which is used for generating a dynamic digital thread penetrating through the whole life cycle of technical improvement purchasing, operation maintenance and decommissioning of equipment; a full life cycle data integration unit; and a business process management and control unit. According to the method, a dynamic digital thread which runs through the whole life cycle of technical improvement purchasing, operation overhaul and decommissioning of equipment is constructed, and a multi-dimensional data anchoring algorithm fused with weighted Bayesian estimation is combined, so that probabilistic association matching between heterogeneous physical data in each stage and a corresponding physical scene is realized; and a unique device identifier is bound to form dynamic association of physical state-data record-time node, so that the problems of fragmentation of data in the whole life cycle of the device and lack of association between the data and a physical scene in the prior art are solved.

The invention provides an artificial intelligence-based business platform process optimization method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: firstly obtaining an electric power process data set generated by the operation of an electric power business platform, and enabling the electric power process data set to comprise a plurality of process instances composed of business operation nodes and node execution logs; performing flow feature extraction on the electric power flow data set to obtain node behavior features and node association features, calling a pre-constructed electric power flow intelligent optimization model to perform collaborative optimization reasoning, and generating an optimization constraint condition set; based on the optimization constraint condition set, generating an electric power flow optimization strategy including node execution time sequence adjustment and a node dependency relationship reconstruction scheme, deploying the electric power flow optimization strategy to a flow execution engine, then collecting flow operation feedback data after implementation, and iteratively updating model reasoning parameters, so as to obtain an electric power flow optimization strategy; therefore, intelligent optimization of the process is realized based on actual data, the process execution efficiency is improved, and a dynamic intelligent power business process management system is constructed.

The invention relates to the technical field of artificial intelligence and software development, in particular to a DevOps assembly line intelligent generation system based on natural language description. According to the intelligent generation system for the DevOps assembly line based on the natural language description, an interaction layer is responsible for visually editing an interaction interface and outputting a generated executable script and a flow chart to a user; the intelligent processing layer takes Python and Go as development languages, fuses a knowledge graph technology, supports a dynamic code generation capability and realizes intelligent business process management and automatic execution; the infrastructure layer comprises three core modules, namely a metadatabase, a sandbox environment and an execution engine, and is responsible for providing basic support and resource guarantee for system operation. According to the intelligent generation system for the DevOps assembly line based on the natural language description, the configuration threshold of the DevOps assembly line is remarkably reduced, the cross-platform compatibility is ensured, the safety and reliability of the assembly line are greatly improved, and production accidents caused by manual configuration errors can be effectively avoided.

The invention relates to the technical field of business process management, in particular to a data processing method, system and device based on business process management and a medium, and the method comprises the steps: constructing a business process model driven by an abstraction layer, and configuring a multi-protocol standardized interface; according to the business process model driven by the abstraction layer and the multi-protocol standardized interface, a process instance matched with the business scene is generated, and a task is distributed to a target client according to a task demand; managing form state circulation and node jump logic according to a task control engine; an event monitor is deployed through a process key node to monitor the process, and when the process reaches a specified node, external service calling operation is triggered to form an end-to-end automatic closed loop. Therefore, the problems of code redundancy, high maintenance cost, difficulty in quickly adapting to diversified customer requirements and the like due to the fact that business process management generally needs to be subjected to customized development for different subsystems in related technologies are solved.

The present disclosure relates to a plug-in process management system, an electronic device, and a business process management method, which belongs to the field of computers. The plug-in process management system includes N storage spaces and N business plug-ins, wherein N is an integer greater than or equal to 2. Each of the business plug-ins corresponds to an independent storage space, and each of the business plug-ins is configured to receive business data to be processed and store the business data to be processed in a corresponding storage space, and to duplicate the business data to be processed and to process the duplicated business data to be processed. The problem of the existing plug-in process management system that when certain plug-in goes wrong the entire business process needs to re-execute from the beginning, resulting in consuming a lot of time, is solved.

The invention relates to the technical field of engineering project management, and discloses an engineering project supply chain collaborative management system, which comprises a unified data interface module used for acquiring multi-source business data from heterogeneous information systems of an engineering project general package party, a sub-package party, a material supplier and a logistics service provider, processing the multi-source business data into a standardized business data model; and a business process management module. By adopting the technical scheme that a unified data interface module and a workflow engine cooperatively work, the technical effects of connecting information systems of all participants of a supply chain and realizing automatic synchronization of purchasing, inventory and construction progress data and linkage of a business process are achieved; compared with the technical scheme that each party adopts an incompatible information system and depends on manual information transmission in the prior art, the defect that the accuracy of a project plan is damaged due to difficulty in collaborative operation caused by data obstruction is overcome.

Aspects of the subject disclosure may include, for example, providing a graphical user interface on a display device for interaction with operations personnel associated with a process to be performed; receiving, from the operations personnel, information defining one or more tasks to perform the process; receiving, from technical personnel associated with respective task of the one or more tasks, respective rulesets associated with the respective tasks, each respective ruleset defining procedures to complete a respective task, one or more of the respective rulesets implementing a machine learning algorithm to complete the respective task; displaying information about the one or more tasks on the graphical user interface during performance of the process; estimating, with an artificial intelligence process, a current status of the process, producing a current status estimate, wherein the estimating comprises estimating a status of the machine learning algorithm; and displaying process status information on the graphical user interface wherein the process status information is based on the current status estimate. Other embodiments are disclosed.

The invention discloses a templated business process management method, and relates to the technical field of enterprise management.The method comprises the steps that repeatable task units in a business process are represented and packaged into function components capable of being configured in a draggable mode, combined arrangement is conducted in a visual working area template, and process construction is conducted from the development coding level to the development coding level; according to the technical scheme, the method sinks to a configuration level which can be understood by business personnel, in the step of creating the visual workflow template, when the working area templates bearing specific tasks are bound with process nodes, separation and standardized packaging of business logic and execution logic are achieved, and various working area templates are predefined through a graphical interface; the node function assembly can be quickly completed only by quoting the templates in the flow chart, the defect that each node needs to be independently developed or written in a traditional mode is overcome, and the core defects that in the prior art, flow construction is complex, the reuse rate is low, and the method excessively depends on technicians are overcome.

The invention relates to the technical field of data processing, in particular to a role authority management system and method for a business process, and the system comprises a data collection module, a rule definition module, a dynamic binding module and an execution monitoring module. And the data acquisition module obtains process node data and role definition data of the business process management system, filters invalid nodes and then outputs a structured data object. The dynamic binding module monitors a process node change event, calls a binding or unbinding interface to execute permission update according to a strategy, and generates update data containing an operation log and binding state information; and the dynamic binding module responds to the instruction to execute secondary unbinding operation to form a closed-loop correction mechanism. According to the method, manual configuration is replaced by a rule engine automatic generation strategy, event-driven real-time permission synchronization is performed, residual binding is eliminated through closed-loop verification, the problem of role permission dynamic binding and synchronization errors is solved, and the safety and continuity of a business process are improved.

The invention discloses a business system building method and system, and relates to the field of business process management, and the method comprises the steps: recognizing related entities such as roles, demands, strategic targets and the like through a bidirectional undifferentiated coding model, carrying out semantic coding and element classification through an attention polarity model, and generating a benefit related party graph in combination with a rule engine; calculating a demand weight by means of a graph neural network, embedding a semantic vector to generate a weighted strategic vector, constraining an AI model to extract flow nodes, and correlating to generate a flow element table; a final-stage flow chart is generated through state coding and a near-end strategy optimization learning network, a programming environment is determined based on requirements, a code segment is matched to generate a service system, full-process automation from strategic analysis to service system generation is achieved, the development efficiency of the service system is improved, and the technical threshold is reduced.

The invention provides a man-machine co-creation enterprise business process management system, belongs to the field of enterprise business process management, and is used for solving the problems of unreasonable task allocation, insufficient process monitoring and difficulty in knowledge reuse of a traditional system. The system comprises a task triggering and analyzing module, a disassembling and planning module, a workflow generating and optimizing module and the like. A task is obtained and analyzed through a task triggering and analyzing module, the task is disassembled by utilizing multiple strategies, workflow is determined through multi-objective optimization, man-machine execution subtasks are coordinated, the process is monitored in real time and dynamically adjusted, and meanwhile service data are collected to optimize AI capacity and accumulate enterprise knowledge. The system realizes full-life-cycle intelligent management of the business process from initiation, execution to optimization, improves the business execution efficiency and resource utilization rate of enterprises, and enhances the adaptability and core competitiveness of the enterprises to business changes.

The embodiment of the invention provides an enterprise material master data management method and device and a storage medium, relates to the technical field of enterprise data management and information, is applied to processing equipment deployed with a material data management model enhancement package, obtains a target material model suitable for a target enterprise, analyzes a material data table file based on the model, and stores the analyzed material data table file. The method comprises the steps of obtaining first material data, verifying the material data based on a quality verification rule base in an enhanced packet, cleaning the material data by adopting a material data cleaning tool in the enhanced packet according to a quality verification result to obtain second material data, and issuing a list and an external business system list according to the material data. And sending the second material data to the target business system through the material data release interface in the enhancement packet, thereby realizing definition and control for the material characteristic value, promoting the target enterprise to carry out comprehensive business process management conforming to the large enterprise, and further improving the material data sharing and cooperation efficiency of the multi-business system.

The invention relates to the technical field of lease business process management, and discloses an artificial intelligence-based lease business process standardization and automation method, which comprises the following steps of: obtaining contract, finance, financing and market data through a multi-source data access module; performing semantic analysis on the unstructured data and constructing a unified data model; intelligently classifying business types, asset types and financing channels by using a classification model; a supervision policy is synchronized in real time through a dynamic rule engine to ensure compliance; generating an optimal financing combination in combination with the prediction model; checking term compliance by using an intelligent rule and marking a risk level; and performing moving point feasible region judgment on the operation behavior of the shielding part. The method can achieve the precise management and efficient cooperation of the whole process of the leasing business, optimizes the data sharing, improves the compliance and financing cost optimization capability, and is higher in real-time performance and expansibility.

The invention relates to an OA cloud service platform based on data sharing, and the platform comprises a data time sequence analysis module which is used for carrying out the seasonal decomposition and trend prediction of standardized historical sales data through employing a Prophet algorithm, and generating a sales prediction data set containing periodic features and a trend curve; the fusion module is used for receiving the structured product database and the sales prediction data set, performing feature alignment and dimension association with business data of an enterprise ERP system, and outputting a multi-source fusion data cube with a unified space-time label; and the spatio-temporal data warehouse architecture module is used for constructing a distributed data lake based on a Hadoop ecological system, implementing column type storage optimization on the multi-source fusion data cube, and integrating an Elasticsearch full-text retrieval engine to form a data warehouse supporting spatio-temporal dimension online analysis processing. According to the invention, the enterprise business process management efficiency, the data security and the decision intelligent level are improved.

The invention provides an iron tower operation management method and device based on process engine driving, and the method comprises the steps: calling a business process management engine, constructing a business process instance according to an iron tower construction process, and operating the business process instance; dividing the target area into a plurality of grid units in response to the situation that the business process instance flows to the site selection node, and determining the score of each grid unit; determining the position information of the target grid unit with the highest score as the site of the to-be-built iron tower; and returning the site to the business process instance, and driving the business process instance to flow to the next node. The business process instance of the iron tower business is constructed and operated based on the business process management engine, automatic circulation of the whole life cycle of iron tower construction is realized, and the overall efficiency and response speed of iron tower operation management are improved. In a site selection link, grid processing is performed on a target area of the iron tower, quantitative scoring is performed in combination with population thermodynamic information and stock site information, and the accuracy of site selection is ensured.

The invention discloses an intelligent management system and method for rubber production, and the system comprises a system user interface, a business process management module, a yield calculation service center and a resource library, and the data output end of the system user interface is connected with the data input end of the business process management module. The data output end of the business process management module is connected with the data input end of the yield calculation service center, the data output end of the yield calculation service center is connected with the data input end of the system user interface, and the yield calculation service center comprises an incoming material management module, a discharging management module, a yield calculation module and a production progress management module. And the yield calculation module is in data connection with the resource library. The invention aims to reduce the dependence on a large amount of manpower, reduce the labor cost, simplify the management process and improve the production efficiency; through real-time automatic data acquisition, storage and analysis, a complete production data chain is established, and an enterprise is helped to carry out accurate monitoring and datamation management on each link from raw materials to finished products.

The invention provides a laboratory full-process intelligent management system and method, and the system comprises a configuration module which is used for carrying out the project configuration of a plurality of experiment projects, and obtaining a basic business process; the management module is used for processing the basic business process according to the user information and a target experiment item when the user inputs the target experiment item to obtain a target business process; and the supervision module is used for monitoring the target business process in real time, obtaining the execution condition, generating a dynamic management strategy for the target business process according to the execution condition, and optimizing the target business process according to the dynamic management strategy until the experiment project is completed. Reliable whole-process intelligent management of experiment items is ensured, and the whole-process intelligent management effect of a laboratory is guaranteed.

The embodiment of the invention provides a business process management method and equipment, and relates to the technical field of process management. The method comprises the steps of obtaining a processing request of a user for a target business process, wherein the processing request comprises input data for driving the target business process to be executed or propelled; in response to the processing request, determining a target monitor required by the target business process from a plurality of monitors, the plurality of monitors being used for providing business logic processing services of various types of business processes; performing business logic processing on the target business process by using the target monitor to obtain a processing result; and calling a target process engine according to the processing result and the input data to execute an instance of a target business process matched with the business logic. In this way, service logic multiplexing between the process engines of different service processes can be achieved through the monitor, and the development difficulty is reduced.

The invention discloses a shipborne laboratory information management method and system supporting marine geological scientific investigation, and relates to the field of ship digital design. The shipborne experimental method supporting marine geological scientific investigation comprises the steps of core and sample management, voyage number and experimental business process management, experimental resource and environment management, experimental data acquisition and management, and comprehensive data and file management visualization. Scientific and intelligent management and application of shipborne core library and laboratory management are realized by using a modern informatization technology. According to the shipborne experimental method supporting marine geological scientific investigation, management and application such as warehousing, ex-warehouse, borrowing, observation, sampling and gathering of physical samples are more scientific and normative, and integration of laboratory analysis business process, resource and personnel management is realized; the problems of confusion of rock core samples, separation of samples and data, disordered rock core detection progress, incapability of tracking working rock core positions and difficulty in searching archived rock cores which are easily caused by adopting a manual recording mode are solved.

The embodiment of the invention provides a banking business process management method and device and electronic equipment, and relates to the technical field of data analysis. According to the method, flow data of a banking outlet is obtained, data processing is conducted on the flow data, a heterogeneous outlet data set corresponding to the banking outlet is obtained, the flow data is used for indicating data generated when the banking outlet executes a flow task corresponding to a business flow, and the flow task corresponding to the heterogeneous outlet data set is determined. And generating a digital twinborn model corresponding to the process task, determining a business process optimization suggestion corresponding to the process task based on the digital twinborn model, and feeding back the business process optimization suggestion to the bank outlet, so that the bank outlet optimizes the business process based on the business process optimization suggestion. The business processing efficiency and the operation efficiency are improved.

The invention provides a man-machine co-creation-oriented enterprise business process arrangement task division method, belongs to the field of enterprise business process management, and solves the problems of difficulty in dividing man-machine advantages, low efficiency and insufficient reliability in traditional task allocation. According to the method, enterprise tasks are decomposed into sub-tasks, AI analysis efficiency values (combining basic analysis efficiency and analysis capability adjustment coefficients) of AI employees and task processing efficiency values (combining basic processing efficiency and processing capability adjustment coefficients) of human employees are calculated, tasks are allocated after comparison, complexity factors are introduced for secondary judgment when the efficiency values are close, and the task processing efficiency values are calculated. And realizing automatic distribution through a decision tree model and a random forest algorithm. According to the method, tasks are scientifically distributed based on man-machine efficiency differences, man-machine cooperation efficiency is improved, and support is provided for intelligent management of enterprise business processes.

The invention discloses an enterprise online interaction data management system, and relates to the field of enterprise data management, the enterprise online interaction data management system comprises an enterprise management center, the enterprise management center is in communication connection with an employee management module, a business process management module, a database module, a business analysis module, an employee operation module and a data monitoring module; the enterprise management center is used for setting a corresponding management area for an enterprise; the employee management module is used for managing corresponding employees and managing comprehensive points of the employees; the business process management module is used for acquiring business data and distributing the business data to corresponding management areas; the business analysis module is used for analyzing and obtaining comprehensive business data corresponding to the business data; the employee operation module distributes the business data to the corresponding employees according to the comprehensive points and the comprehensive business data of the employees; the data monitoring module is used for monitoring the business completion progress of the employees; according to the invention, business data distribution in an enterprise is more reasonable to a certain extent, and the working efficiency of employees is improved.

The application relates to a power distribution network operation and industry expansion engineering multi-source business data fusion method and system, which comprises the following steps: S1: a unified data access and adaptation platform is constructed to realize full-coverage access of power distribution network operation and industry expansion engineering related data; S2: based on the accessed data, an enterprise-level master data management system covering the whole domain of power distribution network operation and industry expansion engineering is established; S3: a knowledge graph in the field of power distribution network operation and industry expansion engineering is constructed; S4: based on the knowledge graph in the field of power distribution network operation and industry expansion engineering, a whole-process digital process model of power distribution network operation and industry expansion engineering is constructed based on business process management technology, and intelligent management of the business process is realized; and S5: based on the knowledge graph in the field of power distribution network operation and industry expansion engineering, a time-space integrated data fusion framework is constructed, business data, geographic space information and time sequence information are deeply fused, and a four-dimensional data model is formed. The application realizes whole-process data fusion and cooperation of power distribution network operation and industry expansion engineering.

The invention relates to the field of business process management, and provides a process engine asynchronous task processing method, system and device and a medium, and the method comprises the steps: a process engine packages a current to-be-processed external task into a task message, and issues the task message to a message queue; the message queue pushes the task message to the distributed workers; and under the condition that the distributed worker successfully executes the task corresponding to the task message, sending an external task completion request to the process engine, and triggering the process engine to continuously execute the step of packaging the current external task to be processed into the task message by the process engine until the task is finished. According to the method, the decoupling characteristic of the message queue is utilized to reduce the coupling degree of the process engine and the external service, the message queue actively pushes the task message to the distributed worker to reduce the network overhead, and in addition, the distributed worker sends the completion request to the process engine to push the process to continue after the task is successfully executed. And flow blocking caused by service timeout is avoided.

The invention discloses a business process management method and device, equipment, a storage medium and a computer program product, and relates to the technical field of business processing, and the method comprises the steps: determining a business process corresponding to a business request and a to-be-executed task contained in the business process when the business request sent by a user is received; performing context analysis on the business process and the to-be-executed task to obtain target configuration; determining a first execution strategy corresponding to the business process and a second execution strategy corresponding to the to-be-executed task according to the target configuration; and managing the business process based on the first execution strategy and the second execution strategy. According to the application, context analysis is performed on the business process corresponding to the business request and the to-be-executed task included in the business process, and the execution strategies corresponding to the business process and the to-be-executed task are determined according to the target configuration obtained through analysis, so that the business process can be managed based on the execution strategies; therefore, the business process is dynamically adjusted to adapt to the current business scene.

The embodiment of the invention discloses a process optimization method and device, electronic equipment and a storage medium, and relates to the technical field of business process management.The method comprises the steps that a business process is obtained, business logic and key nodes are obtained by analyzing the business process, the business process is divided into a plurality of milestone stages, and names are set; obtaining a plurality of milestone nodes; building a storage model, designing and binding a visual UI component, and recording the attribute of each milestone node by using a custom field; the milestone nodes and the service approval nodes are visually displayed according to the corresponding relation by designing lane type layout, and the rendering effect of a visual UI component is dynamically updated by using the Ajax technology; and integrating the process data of each milestone node by constructing a data ledger query window to obtain resource configuration data of process optimization, and carrying out business process optimization. The problems that in the prior art, the model stage is not transparent, the progress is difficult to track, and data statistics is low in efficiency are solved.

The invention relates to the technical field of business process mining, and provides a dynamic extensible multi-view business process event extraction method, system and device and a medium, and the method comprises the steps: firstly splitting an original application log into basic event streams and event detail archiving data, then determining an object, an object attribute and an event attribute corresponding to an event, screening events from different object perspectives and extracting attribute values based on an event-object process model, integrating events of the same object instance to form a track according to the principle that the object attribute values are the same, combining the track by utilizing object association, time window overlapping and event similarity, and generating a business process track. And finally, combining the event attribute value and the business process track to generate an event log and outputting the event log in an XES format. The business process event can be efficiently extracted from the complex log, the generated XES format log is convenient for subsequent analysis and processing, and the intelligence and refinement level of business process management is improved.