126 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 business process management, in particular to an enterprise data intelligent analysis management method and system, and the method comprises the following steps: obtaining a business data timestamp, an input source, an operation type and a transmission path, analyzing a data flow node, and generating a business data flow dependency matrix. According to the method, abnormal data is screened based on stability calculation, the data quality is improved, error interference is reduced, task execution pressure and dependency are combined, task sorting is optimized, the scheduling sequence is dynamically adjusted, conflicts are reduced, execution efficiency is improved, the priority level is adjusted according to the execution progress and urgency degree, and efficient hierarchical scheduling is achieved; by combining resource demand, consumption value calculation, calculation node matching, resource allocation optimization, utilization rate improvement, waste reduction, data analysis accuracy improvement, task execution strategy optimization, resource matching efficiency improvement and business management intelligence level enhancement are realized.

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 invention relates to the field of research and development management, is applied to the field of financial science and technology businesses, and discloses a rule engine and state machine fusion method and device, computer equipment and a storage medium. The method comprises the steps that a business rule track based on a rule engine and a business process track based on the state machine are established, and the business rule track and the business process track are established according to the business rule track and the business process track; generating a double-track model; and carrying out interactive fusion on the target business rule and the target business process through the double-track model to generate interactive fusion information. Through the above mode, the business rules and the business processes are separately managed, market changes and compliance requirements can be responded more quickly, the use of the rule engine ensures the consistency of business decisions, and the use of the state machine provides a clear business process view, so that the user experience is improved. The interactive fusion information generated through the double-track model provides a detailed view of business process and rule execution, and the business process management efficiency and the business rule management efficiency of an enterprise are improved.

The invention discloses a construction method of a business process management system and electronic equipment. The construction method comprises the following steps: acquiring demand information of system construction; constructing at least one prefabricated body according to the demand information; each prefabricated body comprises description information of at least one object in at least one scene; the description information comprises part or all of models, materials, codes and animations of the objects; establishing a binding relationship between the at least one prefabricated body and each workflow; each workflow comprises at least one business flow, and each business flow comprises an operation flow of a set object in a set scene; in response to a development request of a target user, determining a target preform matched with the target user, so that the target user processes a target workflow indicated by the target preform and a target object in a target scene; and determining processing results of the plurality of users, and constructing a business process management system. By constructing the business process management system, multiple persons are allowed to perform parallel development in the same scene, and the efficiency is improved.

The present invention relates to the technical field of business process management, specifically to an intelligent information management system for e-commerce, the system comprising: a transaction behavior monitoring module, an abnormality identification module, a transaction mode optimization module, an inventory optimization module, a risk monitoring module, and an intelligent response module. In the present invention, real-time monitoring and data analysis are used to track e-commerce transaction behaviors, which can instantly discover and screen transaction behaviors that deviate from the norm, improve transaction security and accuracy, use advanced data analysis technology, and effectively identify and manage abnormal transaction patterns through an isolation forest algorithm, which not only helps to prevent fraud and risks, but also optimizes transaction processes and rules, improves transaction efficiency, and can timely implement risk prevention and control measures through real-time monitoring and evaluation of inventory risks, maintain a dynamic balance between inventory and market demand, effectively avoid excessive inventory and out-of-stock situations, and improve the market competitiveness of enterprises.

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 provides a metering service automatic management system and method. The system comprises a metering service management subsystem, an environment monitoring management subsystem, an automatic calibration subsystem, a customer inspection management subsystem and a metering APP. The metering service management subsystem is used for carrying out equipment transceiving management, equipment handover management and task distribution management; a data processing rule is pre-defined according to each calibration item, and calculation and processing are automatically carried out when calibration data are generated; the automatic calibration subsystem is used for reading the data in the metering service management subsystem and carrying out data calculation and processing; the environment monitoring management subsystem is used for monitoring and recording the temperature, humidity, oxygen concentration and intelligent electric quantity of the laboratory environment through physical sensing equipment; and a feedback result is generated and sent to a customer inspection management subsystem and a metering APP, through the above systems, a perfect business process management system is established, and the laboratory environment is comprehensively monitored.

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.

To provide a business procedure management system and a program which can efficiently proceed standardization of a business procedure among a plurality of local governments.SOLUTION: A business procedure management system includes: a group registration part 21 for receiving and registering setting of a group including a plurality of local governments as members; a new registration part 23 for receiving and registering input of a business procedure relating to one business of one local government; and a duplication registration part 24 for, for each of other local governments belonging to the same group as the one local government, registering duplication of the business procedure relating to the one business of the one local government registered in the new registration part 23 as a business procedure relating to the one business of the local government.SELECTED DRAWING: Figure 1

The present invention provides a business support and control platform based on Web framework technology, including the following parts: access layer, rule management layer, service layer, support and guarantee layer and operation and control layer. It can access the original system to obtain data, set multiple rules, automatically determine the business process according to the rules, and display it according to user operations to maximize the use of data. The support and guarantee layer includes a business collection component, a data verification component, a demand analysis component, a process design component, a business association component, a data storage component and a timed update component. The operation and control layer constructs an operation plan and performs relevant configurations based on the data processing results of the support and guarantee layer, proposes operation specifications, and displays the business process to the user. The operation and control layer includes a business data intelligent search component, a process configuration component, a business process control component and a business process display component.