92 results about "Process definition" patented technology

The invention discloses a software process arrangement system and method based on a large model, and particularly relates to the technical field of software process arrangement. The intelligent process design module is used for realizing intelligent and low-threshold process design and optimization through natural language understanding and a visualization technology; the Agent collaborative execution module is used for dynamically distributing tasks, monitoring states and coordinating a plurality of Agents to efficiently complete process execution; and the knowledge learning enhancement module is used for constructing a domain knowledge system and providing intelligent support for process decision and optimization. According to the method, the demand described by a natural language of a user is converted into a structured process definition through the intelligent process design module, rapid design is carried out by utilizing a process pattern library and a visual editing tool, and meanwhile, compliance check and optimization suggestion are carried out, so that compliance and high efficiency of process design are ensured, and the process design efficiency is improved. And the Agent collaborative execution module dynamically allocates tasks to appropriate Agents according to process requirements, monitors the execution state in real time, and performs coordinated processing in case of abnormality to ensure efficient execution of the process.

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 discloses a financial digital intelligent management system, and relates to the technical field of computers, and the system comprises an atomic power unit ACU, a side effect metadata management module which is used for decomposing a financial process into ACU and defining the structured side effect metadata of the ACU, and the structured side effect metadata comprises an influence object, a type, a condition, a range, a preset risk level and the importance of an associated data object; the dynamic process arrangement engine module is used for generating candidate execution paths according to the process definition and the ACU side effect metadata, and selecting a final execution plan by taking the score minimization as an optimization target; and the execution control and risk relief module selectively performs influence domain sandbox rehearsal before actual execution of the ACU according to a risk assessment result, and executes conditional rollback or compensation when execution fails or unacceptable side effects are generated. According to the invention, through prospective side effect management and intelligent risk avoidance and control, the stability, reliability, auditing performance and combinable innovation capability of a financial automation process are significantly improved.

Automatic annotations and technical specification generation for robotic process automation (RPA) workflows using artificial intelligence (AI) is disclosed. AI / ML models may enable smart searching of workflows and automatically generate documentation for the workflows, including descriptions of each activity, input / output parameters, and overall process explanations. Annotations and documentation may be provided for an entire complex business automation that is the sum of multiple workflows and applications. A Process Definition Document (PDD) for the business process may be generated from the RPA workflow code itself when it does not exist. Other documents, such as audit documents, compliance documents required by laws or regulations, etc. may be produced. The process may be iterative, where a generative AI model automatically converts text to RPA workflow code, a runtime automation is produced from this RPA workflow, and the other documentation is generated as well.

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 discloses a process data processing method and device based on a workflow engine, and belongs to the technical field of process data processing. Whether branch process change of a gateway node occurs in a target process or not is determined by identifying difference information between new version process definition data and old version process definition data of the target process; if the branch process of the gateway node is changed, acquiring an in-operation process instance of the target process, and if the current active node of the in-operation process instance is located in the branch process of the gateway node, determining the current active node of the in-operation process instance according to the difference information and the type of the gateway node. And executing dynamic self-adaptive migration on a branch process of the gateway node of the running process instance so as to dynamically migrate the running process instance to the new version process definition data. According to the method, the problem of deadlock or inconsistent state caused by migration of the process instance in operation can be avoided, and the continuity of operation of the business process of an enterprise is ensured.

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.

To provide automatic annotation and technical specification generation for a robotic process automation (RPA) workflow using artificial intelligence (AI).SOLUTION: In a hyper-automation system, AI / ML models enable smart searching of RPA workflows and automatically generate documentation for workflows including descriptions of respective activities, input / output parameters, and overall process explanations. A Process Definition Document (PDD) for a business process is generated from the RPA workflow code itself when it does not exist. Other documents such as audit documents and compliance documents required by laws or regulations are also produced. This process is iterative, where a generative AI model automatically converts text to RPA workflow code, a runtime automation is produced from this RPA workflow, and the other documentation is generated as well.SELECTED DRAWING: Figure 12

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 provides a task scheduling and arranging system, method and device and a storage medium, and relates to the technical field of task system management, and the system comprises a gateway cluster module which is used for obtaining a task creation demand of a client; matching in the gateway node according to a task creation demand to obtain a process definition; creating a process instance according to the process definition, and generating a task instruction corresponding to the task creation demand according to the process instance; the work cluster module is used for executing the task instruction through a work node to obtain a real-time state event of task execution; the gateway cluster module is also used for mapping the real-time state event to a process instance and judging whether the execution task is completed or not according to the mapped process instance; and after the task is executed, processing a task result according to the task creation requirement. According to the method, the problems of large delay, weak management capability and the like of task scheduling and arrangement in a large-scale scene in the prior art are solved, and the high requirement of a service system on task scheduling and arrangement can be better met.

Automatic annotation and technical specification generation for robotic process automation (RPA) workflows using artificial intelligence (AI) is disclosed. The AI / ML model may enable an intelligent search of the workflow and automatically generate documents of the workflow, including descriptions of each activity, input / output parameters, and overall process interpretations. Annotations and documents may be automatically provided for the entire complex business as a sum of multiple workflows and applications. A process-defined document (PDD) where a traffic flow can be generated from the RPA workflow code itself when the RPA workflow code itself is not present. Other files, such as audit files, compliance files of legal or regulatory requirements, and the like, may be generated. The process may be iterative in which the generative AI model automatically converts text to RPA workflow code, produces runtime automation from the RPA workflow, and also generates other documents.

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.

Automatic annotations and technical specification generation for robotic process automation (RPA) workflows using artificial intelligence (AI) is disclosed. AI / ML models may enable smart searching of workflows and automatically generate documentation for the workflows, including descriptions of each activity, input / output parameters, and overall process explanations. Annotations and documentation may be provided for an entire complex business automation that is the sum of multiple workflows and applications. A Process Definition Document (PDD) for the business process may be generated from the RPA workflow code itself when it does not exist. Other documents, such as audit documents, compliance documents required by laws or regulations, etc. may be produced. The process may be iterative, where a generative AI model automatically converts text to RPA workflow code, a runtime automation is produced from this RPA workflow, and the other documentation is generated as well.

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 relates to the technical field of low-code platforms, and provides a low-code process generation method based on an AI large model, and the method comprises the steps: S1, obtaining a business demand description text through a natural language interaction interface; s2, inputting the business demand description text into the trained AI large model, training the AI large model based on the security industry historical process data, and outputting a Markdown format intermediate file comprising a form definition module and a process definition module; s3, analyzing the Markdown intermediate file through a format conversion program, and generating a process configuration file conforming to a target low-code platform specification; and S4, deploying the process configuration file to a self-developed low-code platform, and generating an executable business process application. According to the method, prototype design of a form and a process is converted into a format which can be identified by a low-code platform and is imported, and finally a formal annual authorization entrusting process is generated, so that digital and automatic management of the business process is realized.

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.

A server may execute a communication process flow that controls electronic communications between a tenant of a multitenant system and a set of users corresponding to the tenant. A set of electronic communications that are transmitted to a particular user of the set of users is determined based at least in part on a set of actions defined by the communication process flow. The server may monitor web behavior data associated with the set of users in accordance with a first action of the set of actions, detect that a first user of the set of users satisfies a rule defined by the first action based at least in part on monitoring of the web behavior data, and route the first user to a next action of the set of actions in the communication process flow based at least in part on detecting that the first user satisfies the rule.

The invention relates to a computer-implemented system comprising one or more computers, a database, and an input interface, wherein the computer-implemented system is designed to analyze the database and output, by means of a neural network using machine learning, proposals for carrying out new processes, the input interface makes it possible to input defined rules for individual processes, and the defined rules replace the proposals made by the neural network.

The invention provides an object process relation modeling method and device, a terminal and a medium, and the method comprises the steps: responding to a modeling operation for a to-be-modeled demand, determining a simulation model corresponding to the to-be-modeled demand based on a type element, a process element and a relation element, the simulation model is used for expressing a to-be-modeled demand by using a target type element and a corresponding type definition, a design view, a target process element and a corresponding process definition, a design view and a target relation element; in response to a scene definition operation for the simulation model, determining a scene corresponding to the simulation model, the scene being used for describing a process control or test case of the simulation model; and determining a deduction configuration parameter corresponding to the simulation model, and deducing the simulation model based on the deduction configuration parameter by taking the scene as an entrance to obtain a deduction result corresponding to the to-be-modeled demand. According to the method, the problem of limitation in the prior art can be effectively relieved, and richer requirements can be described.

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.

The present invention provides a modeling method, device, terminal and medium for object-process relationships, including: responding to a modeling operation for a requirement to be modeled, determining a simulation model corresponding to the requirement to be modeled based on type elements, process elements and relationship elements, the simulation model being used to express the requirement to be modeled using target type elements and their corresponding type definitions, design views, target process elements and their corresponding process definitions, design views and target relationship elements; responding to a scenario definition operation for the simulation model, determining a scenario corresponding to the simulation model, the scenario being used to describe the process control or test case of the simulation model; determining deduction configuration parameters corresponding to the simulation model, and using the scenario as an entry point, deducing the simulation model based on the deduction configuration parameters to obtain a deduction result corresponding to the requirement to be modeled. The present invention can effectively alleviate the limitations of the existing technology and can describe a richer range of requirements.

The present invention discloses a method and system for implementing IVR self-service adapted to traditional SCE components, belonging to the technical field of IVR self-service, and comprising the following steps: S1: IVR process configuration; S2: IVR process execution. The present invention adapts to the SCE of traditional IVR manufacturers by means of process definition and general API docking, uses the traditional SCE as a channel, and strips the business from it to form structured process data; in the actual process of IVR business development and operation, the traditional SCE only requires a standard channel process, and the business side uses a custom process to create and develop the business, which not only avoids the technical risks of replacing traditional SCE components, but also improves the efficiency of business development and operation and maintenance, helps the evolution of self-service business, improves customer satisfaction, and is worthy of being promoted and used.

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.