106 results about "Workflow engine" patented technology

The invention relates to the technical field of equipment management, in particular to an equipment full-life-cycle digital twinborn decision-making system enabling a large model. Comprising a digital twin modeling unit; a large model enabling analysis unit, wherein the large model enabling analysis unit adopts a hydroelectric equipment multi-modal causal constraint analysis model; a whole-process closed-loop management and control unit; and an intelligent decision output unit. According to the method, the multi-modal causal constraint analysis model adaptive to the working condition of the hydroelectric equipment is constructed, and a causal chain verification backtracking mechanism is introduced, so that the problem that the reasoning result lacks logic verification is effectively solved, the logic consistency of a fault reasoning conclusion is guaranteed, and the reliability of decision output is improved; through a scene adaptation mode of'pre-training + fine tuning 'of a large model, multi-modal feature fusion processing and deep linkage of a workflow engine and a digital twinborn body, full-life-cycle management requirements of equipment are fully covered, and the refinement and intelligence level of hydroelectric equipment management is further improved.

The invention relates to the technical field of process orchestration, and discloses an automatic orchestration system and implementation method based on event driving and context management, and the system comprises a model orchestration module which receives an external request through an OpenAPI, carries out the model packaging based on namespace attributes, and abstracts the workflow execution capability into a configurable model entity; the workflow engine module is used for providing a dynamic arrangement and execution mechanism based on a directed graph structure and carrying out unified context management; the parameter configuration module is used for constructing a global data constraint and management mechanism of a parameter-result double-layer model, and establishing a data mapping relation between an execution layer and a display layer of the process; and the data source management module uniformly manages and configures the external service capability units which can be called by the nodes in the workflow. According to the method, asynchronous, self-driven and distributed parallel execution of the workflow nodes can be realized, the operation efficiency in a high-concurrency scene is improved, and organic unification of performance, stability and expansibility is realized.

The invention provides a truss structure autonomous design system and method based on multiple agents. A layered multi-agent architecture is adopted, a general control agent is taken as a core, and a high-level design intention is analyzed and a plurality of downstream special agents are arranged for cooperative work; the whole design process realizes automatic closed loop through a graph-based workflow engine; the core innovation of the method is a hybrid intelligent optimization algorithm of LLM heuristic exploration and genetic algorithm accurate fine tuning, and the algorithm is driven by an original and quantifiable design quality scoring system to efficiently carry out analysis-diagnosis-optimization iteration so as to cooperatively improve the safety and economy of the design. The design time can be shortened from several hours to several minutes, about 7.0% of material consumption is saved on average, it is ensured that the scheme completely conforms to industry specifications, the design efficiency, economy and reliability are greatly improved, and meanwhile the use threshold of professional design software is remarkably reduced through natural language interaction.

The invention discloses a multi-role collaborative transportation safety management and responsibility tracing method and system. The method comprises the following steps: S1, reporting an event, collecting travel data, identifying a security event through AI, and generating a unique event number for associated storage; s2, role and flow distribution: grading based on event information, determining participation roles by means of a built-in rule engine, and generating a processing flow and a task list containing logic association through a workflow engine; s3, multi-role cooperative processing and recording are carried out, the roles are operated according to a list, and the system automatically records the operation and forms a corresponding event processing chain; and S4, automatic responsibility tracing: based on the processing chain, generating a responsibility chain and a responsibility affiliation result through a hybrid mechanism. The system comprises a database, an event report and other functional modules for supporting the method. According to the invention, full-process closed-loop management from event grading and role allocation to cooperative processing and automatic tracing is realized, and the problems of low efficiency and difficult responsibility determination of multi-role cooperation are solved.

The invention discloses an owner service AI workflow construction method and system based on a Dify platform, belongs to the field of automobile service, and aims to solve the problems of low efficiency, inaccurate reply, dependence on foreign technologies and inconvenience in access in traditional owner service. The method comprises the following steps: constructing a structured knowledge graph fusing data such as a vehicle specification and a maintenance manual; a special AI workflow integrating intention classification, key information extraction, knowledge graph query and logic decision nodes is configured on the Dify platform; deploying the workflow on a domestic cloud platform and packaging the workflow into an API; the development responsive web page front end provides lightweight access. The system correspondingly comprises a knowledge base management module, a workflow engine module, a model service module and the like. According to the method, full-link safety and controllability are achieved through the domestic platform and the autonomous model, the service accuracy and efficiency are improved through the knowledge graph and the fine tuning model, and convenient instant intelligent services are provided through the webpage side.

The invention relates to the cross technical field of artificial intelligence operation and maintenance and cloud native computing, in particular to an AI model full life cycle management method and system based on cloud native, and the method comprises the steps: constructing a containerized interactive development environment, and generating an invariable OCI mirror image containing a model code and a dependency library; a versioning model registration center of a three-layer storage architecture is adopted, and strong consistency management of model files and metadata is achieved; an automatic CI / CD assembly line is driven through a declarative workflow engine, and event triggering and timing scheduling are supported; the reasoning service deployment module based on the service grid realizes gray release and elastic capacity expansion and contraction; a multi-dimensional monitoring index system is established, and model performance attenuation and data drift are detected in real time; and designing an adaptive resource scheduling algorithm, and dynamically optimizing heterogeneous computing resource allocation. The resources can be dynamically adjusted according to the actual load, and high performance and high availability of the model service are ensured.

The invention discloses a task decomposition and arrangement and exception retry method and system for a workflow engine, and relates to the technical field of task decomposition and arrangement management. According to the method, a service request received by a workflow engine is acquired, structured analysis is performed on the service request, the service request is decomposed into one or more groups of associated interaction subtasks, and an execution-oriented task arrangement relationship is dynamically constructed according to a data dependency relationship among the interaction subtasks. And generating a task graph containing nodes, edges and trigger conditions according to the task arrangement relationship, thereby generating a workflow which can be scheduled and executed in the workflow engine, monitoring the execution state of each interaction subtask in real time in the workflow execution process, and when the execution state is monitored to be abnormal, executing the task according to the task graph. And retry arrangement and rescheduling execution are carried out on the corresponding interactive subtasks, and validity verification is carried out in the execution process, so that the matching degree between the task decomposition arrangement process and the abnormal subtask self-adaptive retry strategy is improved.

The invention discloses a data verification method and system, a product, equipment and a storage medium. The method comprises the steps of obtaining a data verification rule configured for a target business process; in a scheduling workflow engine, based on the node association relationship of the target business process, embedding a check node corresponding to the data check rule, and in the execution process of the target business process, calling the corresponding data check rule through the check node to check the process data; if the verification result is not abnormal, continuing to execute the original business process; and if the verification result is abnormal, storing abnormal data into a preset abnormal information table, and giving an alarm according to a preset verification result notification mode. Based on the scheduling workflow engine, the data verification work of each business process is visually configured in the scheduling workflow engine, meanwhile, decoupling with the original business process logic can be realized, and the requirement of a newly added business logic scene can be quickly adapted.

This invention relates to an enterprise-level full-stack low-code development platform based on a model-driven and plug-in architecture, belonging to the field of computer technology. It addresses the problems of poor scalability, performance bottlenecks, high security risks, and inflexible deployment inherent in existing platforms. The invention includes: a visual development tool providing a form designer and workflow engine, supporting drag-and-drop development and real-time preview; a plug-in extension module, implemented based on the PF4J framework, supporting dynamic loading, unloading, and isolation of plug-ins; a data integration and management module providing an API gateway, multi-source data integration, and data model management; and an application deployment and maintenance module for one-click automated deployment and log auditing. This invention achieves dynamic functional expansion through a plug-in architecture, optimizes performance in high-concurrency scenarios through a workflow engine, enhances security, and provides more flexible deployment, improving the development and maintenance efficiency of enterprise-level applications. It is suitable for application scenarios such as government approvals.

The invention relates to the technical field of order management, in particular to a mobile charging order processing system and method based on a workflow engine. The interaction module is used for realizing visual configuration and workflow monitoring; the system comprises a state machine engine and a rule engine, the rule engine and the state machine engine cooperatively work, the rule engine is used for processing complex logic judgment in services, and when encountering nodes needing decision making, the state machine engine can call the rule engine to obtain decision making results and then drive state circulation according to the results. The event driving layer comprises an event dispatcher and an event coordinator, the event dispatcher is responsible for efficiently and reliably transmitting events, and the event coordinator is responsible for processing cross-service complex business processes and realizing thorough decoupling among business components; and the data support layer provides data support for the interaction layer, the core engine layer and the event driving layer. And order processing is converted from a code writing normal form to a model configuration normal form, so that unprecedented flexibility and maintainability are realized.

This invention discloses a unified management and scheduling method, system, and storage medium for multiple workflow engines, belonging to the field of workflow orchestration and task scheduling technology. The method includes: receiving a start request for a target workflow, creating and recording a workflow instance, and determining the engine type; based on the engine type, selecting a target runtime adapter, driving the workflow instance to execute in the engine, and establishing a node execution record; when a target workflow node enters a waiting state, writing waiting and recovery information into an extended storage area; upon receiving a recovery advancement request, resuming the template workflow's progress, and verifying and auditing the recovery data; submitting the verified recovery data to the target runtime adapter, driving the target workflow node to complete the recovery advancement and triggering subsequent node scheduling, and outputting unified progress data. This invention can reduce the integration cost when multiple engines coexist, and improve cross-engine collaborative scheduling capabilities and audit traceability capabilities.

The application discloses a kind of full life cycle of research and development project multi-source data fusion management system, it is related to research and development project management technical field, including project management module, planning management module, data collection module, project tracking module, resource management module, report output module, item management module, management maintenance module.The full life cycle of research and development project multi-source data fusion management system, from system architecture level, constructs project control, resource collection, report output integrated architecture, effectively integrates each stage data of research and development project, realizes the full-process digital management from project establishment to item by introducing workflow engine, ETL tool, BI tool, ensures the real-time circulation and sharing of project data, which not only greatly improves the efficiency and quality of project management, but also significantly reduces project risk and cost.

The invention discloses an enterprise-level multi-dimensional project digital intelligent management and analysis system for geotechnical engineering investigation, and the system integrates a project data center module, a multi-dimensional visualization and analysis engine, a process collaboration and monitoring module, an enterprise-level knowledge base module, and a unified authority and safety control module. Unified standardized storage and linkage of full-period multi-source data of a project are achieved through a mixed data model, two-dimensional and three-dimensional integrated visualization and cross-project analysis functions are provided based on a geographic information system engine, and full-process digital collaboration and real-time monitoring of the project are driven by means of a configurable workflow engine. Intelligent reuse of enterprise-level knowledge is realized through knowledge association retrieval, and refined authority control and operation auditing are implemented in combination with role and data sensitivity. The comprehensive efficiency and the achievement quality of enterprise project management are remarkably improved, the operation cost and the data safety risk are reduced, and a powerful core supporting tool is provided for digital-intelligent transformation of geotechnical engineering investigation enterprises.

An authorization system for data verification and approval in a communication platform is disclosed. The system includes a workflow engine comprising one or more processors and at least one storage element for storing instructions. The workflow engine maintains a client identifier associated with the communication content. A client device communicates with the workflow engine. The communication platform receives communication content generated by a computer system and encrypted by the workflow engine. The encrypted communication content is visually encoded as an authentication image and displayed within the communication platform. An electronic device also communicates with the workflow engine and includes an authentication identifier reader. The reader decrypts the client identifier from the authentication image, and the decrypted client identifier is verified by the workflow engine to authenticate the intended user. The authenticated communication content is displayed on the client device, and authorization to access the communication content is transmitted to the workflow engine.

This invention discloses a standard address auditing method and system based on a large model and workflow, belonging to the field of information retrieval technology. The method includes: a workflow engine calling a domain knowledge base to obtain eleven levels of standard address level definitions and auditing rules, constructing an auditing context; cleaning and identifying interference content in the address text to be audited; calling a large model to perform hierarchical parsing and compliance judgment on the cleaned address, outputting the compliance judgment result and a complete corrected address without placeholders; when the element is determined to be missing, uncertain, or abnormal, calling an external address service interface to complete, verify, and update the corrected address; outputting the audit result and recording the process node status, supporting human-machine review and rule iteration. Through the technical solution of this invention, standardized parsing and verifiable completion of address elements are achieved, improving the accuracy and traceability of batch audits, enhancing result consistency, and reducing manual processing costs.

The embodiment of the application discloses a kind of process node processing method, device, storage medium and equipment, mainly related to cloud technology field, the method comprises: in the process of application process in workflow engine executing the process node to be executed in target process instance, obtain the working state of workflow engine;If the working state of workflow engine is abnormal state, then according to the process node of state database associated with target process instance in the process node to be executed, the target process node in target process instance in loss state is obtained;Attribute information of target process node is read from state database, application process is called, and target process node is executed according to attribute information. By the application, the execution efficiency of target process instance can be improved, and target process instance cannot be executed to complete due to process node loss.

The invention relates to the technical field of automobile simulation, in particular to an automatic simulation process construction method and system based on component reuse. Comprising the following steps: designing simulation component types, and packaging different steps and different tools of a simulation process into different types of simulation components; defining an input / output and process calling mode for each type of component, and adopting a standardized interface specification to ensure that data and control information can be correctly transmitted among the components; component packaging: packaging the simulation component so as to integrate the simulation component into an automatic process; designing a visual process management tool which is used for managing the packaged components, combining the components and building a simulation process; building a simulation process, and quickly building the simulation process in a visual process building interface; the simulation process is automatically executed, the deployed simulation process is called, and each component in the simulation process is executed in sequence through a simulation workflow engine. According to the technical scheme, the automobile simulation efficiency can be improved.

The invention belongs to the field of smart communities and artificial intelligence, and particularly relates to a community life service agent system, which comprises a data acquisition module used for acquiring multi-modal original data in a community, and an edge decision module comprising a data fusion unit, a workflow engine unit, an RAG enhancement unit and a code generation unit, the intelligent workflow generating module is used for performing fusion analysis and matching on the sensing data or dynamically generating an intelligent workflow and generating a decision instruction; and the terminal execution module is used for receiving and executing the decision instruction and feeding back a result. According to the method, the existing sensing equipment of the community is reused, and a'sensing-decision-execution 'closed loop is constructed on the edge side, so that active and intelligent services of community management are realized, and the deployment cost and the data security risk are remarkably reduced at the same time.

The invention discloses a function enhancement method based on an activiti workflow engine, and the function enhancement method comprises the following steps: inheriting a DeFaultActivityBehaviorFactoryMappingConfiguer class, and carrying out the monitoring enhancement on the overall situation of the activiti; a core command mechanism of the Activiti is rewritten, so that the functions of randomly returning and randomly skipping the process which is not supported by the original are realized; a set of pluggable form construction factory mechanism is constructed; through an algorithm and data processing, a complex BPMN flow chart is converted into a linked list view which is easy to understand by business personnel, and future path prediction is provided; by customizing a multi-instance behavior of Activiti, real-time statistics of a passing number and a rejection number is added for a countersigning node, and countersigning judgment logic is realized. A future approval path prediction function based on an approval history linked list view and a recursive algorithm is realized, and understanding and decision support of business personnel on a process are remarkably improved.

The invention discloses a smart traffic platform based on a multi-modal AI intelligent agent, and relates to the technical field of smart traffic. The multi-modal interaction layer is used for accessing text, image, voice, sensor and document data and generating standardized data; the AI model layer is used for carrying out traffic condition analysis of semantic understanding through a double-model architecture, and obtaining a data conversion result in combination with an RAG and a knowledge graph correction result; the agent collaboration layer performs task disassembly and cross-department collaboration on a data conversion result output by the AI model layer based on an MCP protocol and an n8n workflow engine; and the agent collaboration layer is connected with the multi-modal interaction layer and displays a multi-modal result to a user. Through the overall architecture of the multi-modal interaction layer, the AI model layer and the agent collaboration layer, multi-source data are integrated, and accurate perception of traffic states, rapid event handling, intelligent resource scheduling and efficient travel service are realized by relying on double-model reasoning and multi-agent collaboration.

The invention is suitable for the technical field of process management, and provides an auditing task allocation method and device, electronic equipment and a computer program product. The method comprises the steps of determining a task type of a to-be-allocated first auditing task; if the task type is a non-countersigning task type, generating a first number of second auditing tasks according to each role identifier of the first auditing task; the first number is determined by the type number of each role identifier; and after a task query instruction input by a target user is obtained, for each second auditing task, matching the role identifier of the second auditing task with the role identifier of the target user, and if the matching is successful, allocating the second auditing task to the target user. Through the method, the second auditing task can be generated according to the role identifier of the first auditing task, and the number of the role identifiers of the first auditing task is generally much smaller than that of the user identifiers, so that the load of the workflow engine is reduced, and the performance of the workflow engine is finally improved.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

The invention discloses a breeding cattle digital management system and method, and the system comprises a hardware layer which is used for collecting cattle characteristics and environment data in real time based on an intelligent ear tag, an AI body size system and an intelligent base station; the data layer is used for constructing a cattle full life cycle database, storing data information and performing daily automatic backup at the same time; the application layer comprises a basic information management module, a cattle full-life-cycle management module, a frozen semen production full-process management module, an epidemic prevention and environment management module and a report and analysis module; and the user layer is used for realizing access through a PC portal and a mobile terminal APP and supporting operation of various roles. A unified cattle full life cycle database is constructed, a traditional decentralized management mode is broken through, and full-link tracing of data which is marked to the bottom from fence entering to elimination is achieved; the whole frozen semen production process, workflow engine solidified frozen semen production, epidemic prevention management and other processes are digitally controlled, so that manual intervention is reduced, and the error rate of operation is reduced.

The invention discloses a workflow engine-based data processing system and a workflow engine-based data processing method in semiconductor manufacturing. According to the system, a request receiving module, an activity processing module, a rule scheduling module, a working rule execution module, a rule response module, a site change module and a control module work cooperatively. The method comprises the following steps: receiving a processing request containing a data object identifier and an operation type; calling an activity processing template of the predefined public logic and the user-defined logic; the rule scheduler analyzes the current state and schedules the atomized working rule instance; dynamically executing the rule response instance to determine the next logic; and node switching is processed through the site change function. Public logic and business logic are separated through modular design, data consistency is ensured through transaction isolation, dynamic rule registration and flexible process arrangement are supported, and business research and development efficiency, system flexibility and complex scene processing capacity are remarkably improved.

This invention relates to the field of railway transportation safety technology, and discloses a railway safety decision-making method, device, equipment, and medium based on a key-chain strategy. A workflow engine preprocesses received railway safety-related information to obtain preprocessed information, which is then input into multiple key nodes in a key node cluster. These key nodes, based on a predefined node processing order, invoke corresponding dedicated models to process the preprocessed information, resulting in a processing result output by the key node cluster. A decision report is then generated based on this processing result. This invention integrates artificial intelligence, key-chain strategies, workflow engines, and enhanced retrieval generation technologies to process railway safety-related information, enabling intelligent railway safety decision-making. It effectively improves the processing efficiency of massive amounts of information during railway operations and ensures rapid response to safety risks.

The invention discloses a mine pipe gallery information acquisition and early warning method based on 5G communication, and the method comprises the steps: deploying a multi-source sensor in a mine pipe gallery, and transmitting monitoring data to an edge calculation node through a 5G network; after the edge node receives and caches the data, a recursive principal component analysis algorithm is adopted to carry out dynamic dimension reduction processing, and a covariance matrix is dynamically updated through a forgetting factor; the early warning module reads dimension reduction data from the real-time data buffer area, dynamically adjusts an early warning threshold value based on principal component score distribution, and constructs a closed-loop processing flow of early warning information generation, hierarchical pushing and equipment linkage control through a workflow engine; and finally, the early warning information is sent to a terminal user through a 5G network, and equipment response is triggered. According to the method, the data transmission real-time performance, the algorithm environment adaptability and the early warning accuracy are remarkably improved.

The application provides a data compliance management method and system based on security capability scenario arrangement, comprising: based on a data security protection process to be executed, determining a data security software and hardware tool to be called from a pre-prepared workflow engine, and acquiring state information of the data software and hardware tool; based on the workflow engine, the state information of the data security software and hardware tool, and a preset calling mode, generating a calling instruction for calling the data security software and hardware tool; wherein the workflow engine is obtained by using a computer language to describe a security policy involved in a data security protection process, a data security software and hardware tool required by the security policy, and a cooperation relationship between the data security software and hardware tools. The application realizes consistency of the security policy, and better plays the efficiency of the protection policy.

A subject-event method and a workflow engine developed based on it are designed for no-code creation and execution of semantic models of business processes and construction of domain ontologies. The operation of the workflow engine is based on original event semantics using the semantic implementation of a dataflow approach to algorithm execution. The use of a unified event data format made it possible to implement: (1) a specification for describing actions and entities, (2) a semantic workflow engine for executing business processes, (3) a semantic temporal data store. The invention provides a unified platform for enterprise content management, process automation, and knowledge base maintenance, addressing the limitations of traditional workflow engines and semantic technologies.

This invention discloses a service-centric cloud-native workflow engine system and its operating method. The service-centric cloud-native workflow engine system comprises: a portal layer for communication between users and the workflow engine, providing users with an interactive interface and interactive interfaces for user operation; a supporting business service layer for supporting upper-layer logic and allowing users to select services required for personalized business process customization; an abstract service layer for implementing and managing higher-level abstract business logic; an execution management layer for dynamically allocating tasks to corresponding microservice instances in the cloud platform infrastructure layer, completing task scheduling; and a cloud platform infrastructure layer for enabling on-demand allocation and rapid deployment of computing and storage resources. This invention achieves extended functionality by supporting business functions at the top and connecting resources at the bottom, achieving the goal of jointly optimizing both system business and resources.

The invention relates to the technical field of archive management, in particular to a cadre personnel archive dynamic integrity intelligent monitoring and additional recording system and method, and the system comprises a multi-source heterogeneous data access and fusion engine which is used for connecting multiple types of data sources, processing the data, and constructing a cadre panoramic information view; the system comprises an archive integrity rule base, an archive material integrity rule template predefined based on related regulations and enterprise regulations, a key event monitoring module, an intelligent monitoring and early warning triggering module, an automatic additional recording workflow engine and an integrity state billboard, by integrating multi-source heterogeneous data and defining a key event rule, an intelligent system for realizing real-time perception of an archive integrity state, automatic early warning and triggering of a material collection and additional recording workflow is realized, and the problems of archive information updating lagging and integrity deficiency are solved.