65 results about "Process definition" patented technology

The invention provides a flow and form decoupling cooperative processing method, and relates to the technical field of business flow management, and the method comprises the steps: constructing a layered architecture, separating a flow control layer from a form service layer, defining a flow node jump rule by the flow control layer based on a BPMN standard, and dynamically defining a form structure by the form service layer through JSON Schema; a form identifier is declarated in the process definition file, a corresponding form template is matched through a dynamic mapping service according to context information, and the context information comprises a process instance state, a user role, a device type and a service type; establishing a data sandbox isolation mechanism, generating a unique data space identifier for each process instance, and managing data access authority through a multi-dimensional isolation strategy of a tenant level, a service level and a process instance level; deploying an event bus communication mechanism, triggering two-way communication between a process engine and a form engine through a predefined event type, and ensuring the consistency of cross-system operation by adopting a transaction compensation mechanism.

The invention provides an RPA operation report automatic generation method based on full-business process data fusion and a financial robot thereof, and the method comprises the steps: collecting task logs, business action events and context data generated in the execution process of the financial robot, and standardizing the task logs, the business action events and the context data into a unified event unit; constructing a flow path diagram based on the event time sequence; performing structure comparison on the trajectory diagrams of different service periods, identifying node addition and deletion or path rearrangement, and generating a structure attribution result; combining the attribution result and the event data to construct a structure perception type semantic index; and finally, automatically filling the indexes and attribution contents into the financial operation report template to generate a complete report. The method does not need to depend on a process definition file, can automatically restore a real execution path, achieves the interpretability analysis of process change and the full-automatic generation of a report, and remarkably improves the accuracy, integrity and decision support capability of financial RPA operation analysis.

The invention relates to a visual process automatic arrangement method and system, and belongs to the technical field of computers.The method comprises the steps that a natural language requirement input by a user is obtained; modeling knowledge is determined, logic typesetting and structured processing are conducted on the natural language requirement input by the user and the modeling knowledge through a large language model LLM, and XML process definition data meeting the BPMN standard are generated; sending the XML process definition data conforming to the BPMN standard to a process engine so as to create a visual process model; and rendering the visual process model to a front-end interface for a user to review, and determining a review result. According to the method, business personnel can directly participate in process design without learning professional modeling languages such as BPMN, and a business-driven development mode is really realized.

The invention provides a Web workflow system and method based on JSON data analysis, and relates to the technical field of workflow design. A standardized JSON process definition file is generated by adopting a visual process designer, process semantic verification and BPMN conversion are realized through a three-level analysis architecture, and efficient management of the whole process of process modeling, execution and auditing is realized in combination with a plug-in task executor, a thread security context manager and a process monitoring module, so that the process modeling, execution and auditing efficiency is improved. The method has the advantages of fast analysis, strong expansion, easy collaboration, traceability and the like.

The invention discloses a method for managing service nodes capable of being dynamically expanded based on a Camuda process engine, which belongs to the technical field of electric digital data processing and comprises the following steps of: uniformly configuring service process nodes into a pointing proxy delegation class; querying an external mapping table based on the execution context to obtain a business logic unit identifier; obtaining metadata from a logic registration center according to the identifier, and dynamically loading and instantiating a business logic implementation class through a sandbox class loader; driving service logic execution through a security context object of a white list only exposure method; and recording a full-link audit log. According to the method, structural decoupling of process definition and service logic is realized, so that the process definition does not need to be modified during service change, and dynamic replacement and gray release are supported; through sandbox isolation and security agent, isolated operation of dynamic codes and security and stability of an engine are ensured; and in combination with an audit tracking and fusing mechanism, the observability, the reliability and the operation and maintenance efficiency of the system are improved.

The invention discloses a business process construction method and system based on a process engine, belongs to the technical field of business process automation, and aims to solve the technical problem of how to realize intelligent generation, dynamic adjustment and one-key deployment of a business process. Comprising the steps of performing semantic analysis on a demand document uploaded by a user based on an AI large model, generating a process framework based on a key business entity, a business rule and a process node, and outputting a process definition file; based on a natural language interaction mechanism, calling the large model to perform semantic analysis on a natural language instruction input by a user, and correcting the process framework based on an analysis result; integrating the corrected process definition file to a process engine, and performing automatic verification and simulation operation on a process framework; and realizing version management, containerized packaging and one-key release of the process based on an automatic deployment assembly line.

Certain aspects of the present disclosure provide techniques for generating knowledge graphs from program source code. An example method generally includes receiving a source code definition of a workflow implemented in an application. The source code definition of the workflow is converted into an intermediate representation of the workflow, the intermediate representation comprising a condensed version of the source code definition. An abstract syntax tree representation of the workflow is generated based on the intermediate representation of the workflow. A structured file is generated by traversing the abstract syntax tree representation of the workflow, wherein the structured file comprises a definition of the workflow in a knowledge graph-specific language. The structured file is deployed to a knowledge graph execution engine.

The invention discloses an intelligent process approval method and device based on a dynamic rule engine and a medium, and relates to the technical field of informatization management, and the method comprises the steps: obtaining a business document of an initial approval scene, and obtaining an initial approval data model through scene field configuration based on the business document of the initial approval scene; according to the initial approval data model, determining an initial approval process through an approval process definition of node configuration; performing self-evolution analysis of a dynamic rule engine on the initial approval process to obtain an updated dynamic rule engine; obtaining submission approval, and performing process node approval instantiation on the submission approval based on the updated dynamic rule engine to determine approval instance information; and based on the approval instance information, obtaining subsequent approval nodes through state analysis of the approval nodes. Through the method, the technical problem that the rule type and the approval node cannot be automatically updated in the existing process approval technology is solved.

Embodiments of the present application provide a body intelligence data processing method and system, a storage medium and a program product. The body intelligence data processing method comprises: receiving process definition information for defining a body intelligence data processing process; generating a process instance based on the process definition information; determining execution environment information corresponding to at least one sub-process in the process instance, and scheduling and executing the sub-process according to the execution environment information corresponding to the sub-process, to obtain execution state information and a data processing result corresponding to at least part of the sub-process; and in the case that the execution state information and / or the data processing result meet a preset triggering condition, triggering execution of at least one sub-process in the process instance which has a dependency relationship with the corresponding sub-process in the process definition information, based on the execution state information and / or the data processing result. Embodiments of the present application can realize automatic collaborative execution of a body intelligence data processing process in multiple execution environments.

The invention discloses a method and a device for automatically skipping repeated approvers based on a global monitor, and aims to solve the problems of low efficiency, poor experience and the like caused by repeated approval in an enterprise-level approval process. According to the method, a repeated approver detection monitor is automatically injected into all user tasks in a process definition analysis stage by inheriting a BPMN analysis monitor of a process engine, and a process definition file does not need to be modified. When the task is created, the monitor reads the repeated skipping configuration defined by the process, judges whether the scene is a multi-person approval or countersigning scene or not, queries a historical task table to detect whether approvers are repeated or not, and automatically completes the task and sets a skipping mark variable if the approvers are repeated. The method has the advantages of zero invasion, flexible configuration, scene compatibility, traceability, high reliability and the like, and the approval efficiency and experience are effectively improved.

The invention discloses a method for generating a Lua script dynamic departure engine through a workflow, and relates to the technical field of Internet of Vehicles and vehicle-mounted software, and the method comprises the steps: firstly constructing a basic operator through a cloud platform, responding to a user arrangement, generating a process definition file, converting the process definition file into a Lua script code, and packaging and uploading the Lua script code after digital signature; and the vehicle terminal monitors a system state, downloads an update file when a trigger condition is satisfied, and performs integrity verification and signature verification. And after the verification is passed, the calculation center module starts a Lua interpreter to run a script, and calls a local Java operator to execute service logic through a reflection mechanism. According to the method, decoupling of service logic and underlying capability is realized through cloud arrangement and an end-side sandbox execution mechanism, dynamic hot update of the vehicle machine function is completed under the condition that firmware OTA flash is not carried out, and meanwhile, the security of script operation is ensured by utilizing encryption verification and permission isolation.

The embodiment of the invention provides a method and system for realizing flexible configuration of a business process, and the method comprises the steps: obtaining a configuration file, the configuration file defines a plurality of mutually independent processes, and each process defines a module chain composed of a plurality of mutually independent processing modules; when the service program is started, the configuration file is loaded, and circulation conditions related to the processing module in the configuration file are pre-compiled into an executable function; receiving external request data; matching a target process according to the attribute of the request data; and driving the request data to flow along the module chain of the target process, calling the corresponding executable function to carry out condition judgment when the request data flows through each processing module, and carrying out service processing according to a judgment result. Therefore, a plurality of processes and a plurality of processing modules in the configuration file are mutually independent, flexible configuration can be supported, and the execution efficiency of data circulation can be improved.

A computer-implemented system and method for managing and executing activities for uninterrupted processing. At least one process definition representing a plurality of activities to be executed by computing devices located outside of at least one firewall associated with a data communications network is accessed. Respective ones of the plurality of activities are identified and, for each: input representing details associated with the respective one of the plurality of activities is accessed and at least one computing device is determined to execute steps associated with the respective one of the plurality of activities. Information associated with the respective one of the plurality of activities is transmitted to the computing device(s). A response representing output from the executed steps associated with the respective one of the plurality of activities is received and stored.

The invention relates to the technical field of computer informatization, and discloses a resource information management method and device, equipment, a medium and a product, and the method comprises the steps: creating a process definition file which is used for defining task nodes when resources are used and a circulation sequence of a plurality of task nodes; binding a resource type for the process definition file; the process definition file is released to a workflow engine, task nodes in the process definition file are displayed through the workflow engine, and the workflow engine and codes of the resource management system are in a decoupling relation; endowing each displayed task node with a processor; and storing the process information which is currently endowed with the processor and bound with the resource type into a process configuration information table, and storing the process configuration information table in a resource management system for being read by the resource management system when the user applies for using the resource through the resource management system. According to the invention, the flexibility of the process approval project in the resource management system is improved.

The invention discloses a cloud native task arrangement system supporting multiple life cycles and a code reuse method. The system is realized in a reusable framework library form and is integrated by a plurality of cloud native controllers through a dependency management tool, and each controller is instantiated into a self-consistent task arrangement subsystem during operation. The framework library comprises a local task registry, a maintenance task identifier and factory function mapping; a parameterized task model supporting task logic fixation and receiving dynamic parameters by executing a context; the dynamic task chain assembler instantiates the task objects bound with the parameters from the predefined process definition according to the operation type and assembles the task objects into an executable chain; and the extensible state machine engine drives task execution and supports customized state nodes and rollback logic. According to the method, frame-level code reuse is realized, business differences are elastically adapted while the unification of the architecture is ensured, the maintenance cost is concentrated to a single frame library, the development efficiency is remarkably improved, and the balance of isolation, reusability and flexibility is achieved.

A technique is provided for automatically generating process definitions for industrial processes used to create products in an industrial plant, including: capturing sensor data associated with an individual performing a set of process operations on a set of process materials to manufacture a product; analyzing the sensor data associated with an individual performing a set of process operations on a set of process materials to manufacture a product; and identifying the process definition based on the analysis of the sensor data associated with an individual performing a set of process operations on a set of process materials to manufacture a product, the process definition including a set of process materials, equipment used to manufacture the product, a set of process operations applied to the materials to manufacture the product, a sequence of process operations, timing of process operations, and / or the quantity of materials used in the process.

The application discloses a data analysis system based on multi-agent cooperation, comprising a role definition module, a workflow definition module and a large language model driving module; wherein the role definition module is used for defining multi-agents; the workflow definition module is used for constructing a standard workflow based on the role definition module; and the large language model driving module is used for driving the multi-agents to process complex problems based on the standard workflow. The application utilizes the code writing processing capability of a large language model (LLM) to replace the related work of a Python engineer and an ETL data engineer, and greatly reduces the labor input cost of a data analysis task.

The invention discloses a Java-based dynamic process management method, Java-based dynamic process management equipment and a medium. The technical problem that a traditional workflow engine has inherent defects in the aspects of dynamics, expansibility and reliability is solved. The method comprises the following steps: receiving a process definition file, loading a plug-in node parser based on a Java SPI (Serial Peripheral Interface) mechanism, and dynamically parsing node logic in the process definition file; splitting the analyzed process definition into sub-tasks, and distributing the sub-tasks to a working node cluster based on a ZooKeeper coordination service; and calling the local cache through the working node to execute the corresponding subtask, and synchronizing the task state to the management layer node through the event bus. Through the method, version switching can be completed without restarting a system, the service iteration efficiency is improved, the task is allocated to the resource idle node according to the load state, the problem of single-point overload is effectively avoided, local cache data is preferentially read, and frequent access to a central database is reduced.

The invention belongs to the field of data processing flow or workflow management, and particularly relates to a single-line command multi-step parameter unified expression and GUI (Graphical User Interface) isomorphic linkage method and system based on action range marking, which comprises the steps of flow definition, command analysis, flow execution and interface generation, the method comprises the following steps: declaring a corresponding step action range for at least one executable step in the process; a default configuration is associated with each step scope; a single command can express all parameters of a multi-step process in a structured mode, and zero-intermediary reversible mapping with a GUI form is achieved. According to the invention, learning and maintenance costs are reduced, and reproducibility and transplantability are improved at the same time.

The application discloses a natural resource data association and graph display method and device and a storage medium, and relates to the technical field of geographical entity space identity coding. The method comprises the following steps: generating a space identity code of a geographical entity, wherein the space identity code is used for uniquely identifying the geographical entity in a global range; based on a preset association rule, an association relationship between the space identity code and original codes of at least one natural resource business data is established, and association data is obtained; according to a natural resource business process, a semantic relationship between the association data is defined; and based on the association data and the semantic relationship, a knowledge graph reflecting the space-time change of natural resources is constructed and displayed. The scheme combines the characteristics of geographical entity space identity coding, such as space position determination, global uniqueness and space-time association, and connects multi-source space-time data across businesses, systems and departments through geographical entity space identity coding, so that all-chain data falls on the same space unit.

The application provides a general event handling method and device using a multimodal large model and an agent technology, and relates to the technical field of data processing.The method comprises the following steps: receiving and understanding the natural language handling requirements and related multimodal event information input by a user through a multimodal large model, wherein the multimodal large model judges the event type and characteristics, and generates an initial recommended handling process based on built-in knowledge; based on the initial recommended handling process, a natural language dialogue interface is provided for the user to interactively modify and refine, the user instructions are understood in real time by an agent, the nodes, parameters, logical branches or interactive contents in the process are dynamically adjusted until the user confirms the final handling process; and the confirmed final handling process is converted into a machine-readable structured process definition by the agent.The application can solve the technical problems of rigid event handling process, poor adaptability and low intelligent level, and realize the flexibility, intelligentization and automation of event handling.

A facility for providing an XR device-based tool for cross-platform content creation and display is disclosed. The facility causes a definition of a mixed reality (MR) procedure to be presented by an editing MR device in a virtual application window. Input is received via the editing MR device. The facility interprets the received input as one or more editing actions performed with respect to the MR procedure definition and alters the MR procedure definition accordingly. The facility creates a device-independent representation of the MR procedure based on the altered MR procedure definition.

The invention provides a general event handling method and device using a multi-modal large model and an agent technology, and relates to the technical field of data processing, and the method comprises the steps: receiving and understanding a natural language handling demand input by a user and related multi-modal event information through the multi-modal large model, wherein the multi-modal large model is used for studying and judging event types and characteristics, and generating an initial recommendation disposal process based on built-in knowledge; based on the initial recommended disposal process, providing a natural language dialogue interface for a user to perform interactive modification and refinement, understanding user instructions in real time through an intelligent agent, and dynamically adjusting nodes, parameters, logic branches or interactive contents in the process until the user confirms the final disposal process; and converting the confirmed final processing flow into a machine-readable structured flow definition through the intelligent agent. According to the invention, the technical problems of rigid event handling process, poor adaptability and low intelligent level can be solved, and the flexibility, intelligence and automation of event handling are realized.

The invention relates to the technical field of data processing, in particular to a low-code data processing and analyzing method and device across multiple computing frameworks. Generating verification; matching scheduling; executing the instance; and monitoring optimization. According to the method, the data processing and analysis process is subjected to low-code definition through an operator-oriented markup language, the structured description of the process, the definition of an operator capability contract and the complete expression of a data flow relationship among operators are realized, and an executable scheduling plan is generated according to the realization of matching a proper operator according to a target calculation framework. Therefore, the data process is efficiently deployed and operated on different computing frameworks, so that the whole data processing and analysis process not only keeps logic consistency during cross-framework execution, but also can flexibly adapt to different computing environments; the problem that cross-frame efficient data processing and analysis are difficult to carry out due to differences of different calculation frames and high learning cost is effectively solved.

The invention discloses a low-code process anomaly detection method, device and equipment and a readable storage medium, and relates to the technical field of business process anomaly detection.The low-code process anomaly detection method comprises the steps that target log data corresponding to a to-be-detected process instance is preprocessed, and target time sequence features are obtained; preprocessing target process definition data corresponding to the to-be-detected process instance to obtain target process topological features; performing feature engineering processing on the target time sequence feature and the target process topological feature to obtain a target key feature, the target key feature being used for reflecting a process behavior; and inputting the target key features into a preset target flow anomaly detection model, so that the target flow anomaly detection model performs anomaly detection based on the target key features, and outputs a target anomaly detection result corresponding to the to-be-detected flow instance. According to the method, the anomaly detection of the low-code process can be effectively realized, so that the detection accuracy and efficiency are improved.

A method of generating and storing metadata in a data processing system includes defining metadata sets of process definition metadata based on a process definition of the data processing system. The metadata sets include a first set of metadata corresponding to a processing step of the data processing system, a second set of metadata corresponding to a processing step successor, and a third set of metadata corresponding to a data object that is produced or consumed by the processing step in the data processing system. The method further includes executing one or more steps of the data processing system according to the process definition and generating runtime metadata during an execution of the one or more data processing system steps. The method further includes storing the runtime metadata and forming a metadata data store that integrates the runtime metadata and the metadata sets of process definition metadata.

The application discloses an office software automation inspection and health degree scoring method for complex workflows, and belongs to the technical field of computer software scoring. The method comprises the following steps: through a configuration file analysis engine and a process definition file semantic analysis module, a depth-first and breadth-first traversal algorithm is used to construct a workflow dependency graph; a patrol task scheduling engine performs topological sorting on the patrol task based on the Kahn algorithm, generates a patrol execution queue in accordance with the dependency order, and supports dynamic priority adjustment and load-aware scheduling; a multi-dimensional running data collection agent collects workflow engine state, component service response, process instance execution progress and abnormal event log data, and stores the data into a time series database after standardization processing; a cross-component fault propagation path is identified, and component and overall health degree scores are output. The application improves the inspection efficiency and operation and maintenance response capability.

The application relates to a development method, device and equipment for an approval system and a storage medium. The method receives an approval system development request, acquires new approval process information of an approval system from a process creation form according to the approval system development request, screens process definition information based on the new approval process information and the approval system, generates an initial approval node list of the approval system according to the process definition information, updates the initial approval node list according to the new approval process information to obtain a target approval node list, acquires initial development information associated with the process definition information, generates target development information according to the target approval node list and the initial development information, and improves development efficiency. In addition, the application also relates to a blockchain technology, and the target development information can be stored in a blockchain.

A data transmission system of a work machine includes a process definition receiving section that receives process definition information indicating contents of a process of data collected from a work machine; a process processing section that judges a data form of the process based on the received process definition information, and processes data collected from the work machine based on the judged data form; and a transmission section that transmits the processed data to an external device.

Systems and methods are provided for analyzing an event received from an application to determine that a new system process has been created and generating a privacy context for the new system process, in real time from receiving the event from the application. For example, the systems and methods analyze application metadata associated with the new system process to determine a process definition for the new system process, extract process flow details for the process definition, analyze the extracted process flow details to determine entities associated with the new system process and data categories associated with the new system process and generate the privacy context based on the entities associated with the new system process and the data categories associated with the new system process, the privacy context linking a data controller, one or more data categories and a role.