22 results about "Workflow design" patented technology

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.

Disclosed are an ontology-based multi-programming language component specifications and workflow system and a use method. A multi-language programming component manager is connected with a multi-language programming component workflow design modeler and a multi-programming language transformation engine. A core workflow engine is connected with the multi-language programming component workflow design modeler and the multi-programming language transformation engine. An ontology that supports normalized management of multi-programming language transformation and components is designed to standardize the definition of core components, support multi-programming language data conversion communication and component management, support custom design creation, flexible expansion and result interaction of multi-class workflow components, make full use of advantages of various programming languages, and reduce technical difficulties in the applicability of components developed in various programming languages; while achieving the maximum use of multi-programming languages to achieve the effect of “1+1>2”.

The embodiment of the invention discloses a workflow deployment method and device, a readable medium, equipment and a program product. The method comprises the steps that a workflow design interface comprising a workflow editing component and a workflow deployment component is displayed; in response to an editing operation on the workflow editing component, obtaining a selected reference node to construct a to-be-deployed workflow; in response to a trigger operation on the workflow deployment component, obtaining execution performance data of the reference node in the process of executing the data processing task, and optimizing the to-be-deployed workflow based on the execution performance data corresponding to the reference node to obtain a target workflow; obtaining a dependent data packet required by operation of a target node in the target workflow, and generating an operation data packet corresponding to the target workflow based on the dependent data packet corresponding to the target node; and creating a container instance corresponding to the target workflow based on the operation data packet to deploy the target workflow. By adopting the embodiment of the invention, the deployment efficiency of the workflow can be improved.

The invention discloses a workflow-oriented big language model key value pair caching strategy optimization method and device. Through reasonable workflow design and cue word template design, the reusability theoretical value of a key value pair in a workflow period is improved to the maximum extent; the actual reuse rate of the key-value pairs in the reasoning process is greatly improved through high-frequency key-value pair screening reuse, cue word dynamic based on reuse rate evaluation and other methods, the calculation amount is reduced, the reasoning time is shortened, the use efficiency of a large language model is improved, and the overall execution efficiency of workflow is improved.

The invention relates to a space station scientific data processing production flow arrangement and resource scheduling system and method, and relates to the technical field of resource scheduling, and the system comprises a container management module which is used for packaging a space scientific data processing algorithm based on a containerization technology, and generating a standard container mirror image and a container configuration file; the workflow design and arrangement module is used for generating a workflow description file; the resource scheduling module is used for allocating computing resources for the workflow and scheduling a plurality of data processing tasks based on the resource monitoring information and the workflow description file; and the workflow execution monitoring module is used for collecting execution information in a workflow execution process, and displaying the execution information of the workflow and the resource use condition based on a visual display interface. According to the invention, the technical effects of effective packaging, workflow design, resource allocation and monitoring of the space science data processing algorithm are realized.

Disclosed here are systems and methods that allow users, upon detecting errors within a running workflow, to either 1) pause the workflow and directly correct its design before resuming the workflow, or 2) pause the workflow, correct the erred action within the workflow, resume running the workflow, and afterwards apply the corrections to the design of the workflow. The disclosure comprises functionality that pauses a single workflow and other relevant workflows as soon as the error is detected and while it is corrected. The disclosed systems and methods improve communication technology between the networks and servers of separate parties relevant and / or dependent on successful execution of other workflows.

Disclosed are an ontology-based multi-programming language component specifications and workflow system and a use method. A multi-language programming component manager is connected with a multi-language programming component workflow design modeler and a multi-programming language transformation engine. A core workflow engine is connected with the multi-language programming component workflow design modeler and the multi-programming language transformation engine. An ontology that supports normalized management of multi-programming language transformation and components is designed to standardize the definition of core components, support multi-programming language data conversion communication and component management, support custom design creation, flexible expansion and result interaction of multi-class workflow components, make full use of advantages of various programming languages, and reduce technical difficulties in the applicability of components developed in various programming languages; while achieving the maximum use of multi-programming languages to achieve the effect of “1+1>2”.

The application provides a kind of workflow application management method and system for containerization environment, it is related to computer technology field.The method includes the following steps, the structured front-end object model is converted to by visual workflow model construction module with the drag operation of user;Front-end object model is serialized as JSON format file by static logic inspection;JSON format file is sent into template engine by templating code generation module;JSON format file is automatically converted into executable workflow drive file by template engine.The application solves the prior art workflow system usually adopts static script or fixed template to arrange task, realizes the automatic conversion from workflow design to execution code generation by visual workflow model construction module and templating code generation module, reduces the technical threshold of complex workflow construction, improves system development efficiency.

The embodiment of the invention provides a workflow development method and related equipment, and belongs to the technical field of computers. The method comprises the steps that in response to a first instruction, a current workflow is displayed on a canvas page, and the current workflow comprises a work task; in response to a dragging instruction of the current function node, displaying the current function node on the canvas page; obtaining a node field name of the current function node according to the current node type; in response to the second instruction, the node field name of the current function node and input current node parameters are displayed on the configuration node page, and the current node parameters are in one-to-one correspondence with the node field name; in response to the third instruction, storing the current function node as the current task; and in response to the fourth instruction, connecting the current task with the work task on the canvas page, and adding the current task into the work task. The embodiment of the invention can improve the intuition of workflow design, simplify the configuration process and improve the user experience.

The invention discloses a dynamic form and workflow arrangement method and system, and belongs to the technical field of computers, the implementation of the method comprises the following steps: constructing a dynamic form engine which comprises a form design module, a form storage module and a form rendering module; constructing a workflow engine which comprises a process definition module, a process execution module and a process monitoring module; establishing an association relationship between the dynamic form and the workflow, and realizing transmission and sharing of form data in the workflow by setting a corresponding form in a node of the workflow; through cooperative work of the dynamic form and the workflow, when form data changes, a workflow engine automatically adjusts a workflow according to a preset rule; and when the workflow changes, the dynamic form engine automatically updates the configuration information of the form. According to the invention, the flexibility of form and workflow design can be improved, the development and maintenance cost is reduced, and the business processing efficiency is improved.

This invention relates to the field of computer software technology, and in particular to a low-code workflow design system and application based on a workflow engine, comprising a multi-flow collaboration engine layer, an AI-enhanced rule orchestration layer, a distributed architecture layer, a data storage layer, a user interaction layer, and an extension interface layer. This invention achieves deep linkage between logic flow, data flow, and event flow through an event bus, constructing a closed loop of event triggering, logical judgment, and data flow, overcoming the limitations of traditional platforms that only support single process types and lack multi-flow collaboration capabilities. The logic flow engine supports multi-level conditional branches, nested sub-processes, and parallel task splitting; the data flow engine achieves seamless cross-system data mapping; and the event flow engine ensures real-time triggering and asynchronous notification. The three work together to meet the diverse needs of complex enterprise-level processes, such as the linkage between approval flows and data processing flows, and cross-system event-driven process execution.

A workflow debugging method is applied to a cloud platform. The cloud platform is configured to provide a workflow design service. The method includes: obtaining, from a design interface of a workflow, a debugging requirement related to a first workflow, where the debugging requirement indicates a to-be-debugged flow fragment in the first workflow; sending related information about the flow fragment to a sandbox runtime environment; and debugging the flow fragment in the sandbox runtime environment.

The application relates to a workflow generation method and device, computer equipment and a storage medium. The method comprises the following steps: a workflow design interface is displayed, and the workflow design interface comprises at least one selection control of an atomic task; in response to a selection operation on the selection control of the at least one atomic task, a task pattern of at least two atomic tasks is displayed; in response to a connection operation on the task pattern of the at least two atomic tasks, an upper and lower level relationship between the at least two atomic tasks is acquired; task execution parameters of the at least two atomic tasks are acquired; and a target workflow is generated based on the upper and lower level relationship between the at least two atomic tasks and the task execution parameters of the at least two atomic tasks. A user can design an automatically executed workflow by a visual design process, and the workflow does not need to be developed by a developer by writing program codes, so that the time for code development is saved, and the application efficiency of the workflow is improved.

The application provides an application programming interface (API) orchestration model training method and device, which converts original call logs into a directed heterogeneous graph with features containing topology, performance and error information. Then, based on a graph neural network, incremental link reasoning is performed in a context subgraph to automatically generate the API call link with the highest probability and its performance estimation, thereby realizing intelligent recommendation of the orchestration scheme. During the training process, a composite loss function is used to simultaneously optimize the topology accuracy, delay and error rate, thereby driving the model to integrate the function correctness and operation efficiency. This method automatically generates the workflow design instead of manual orchestration, thereby greatly improving the development efficiency. Meanwhile, relying on the runtime data backflow, the system can be iterated to continuously enhance the system adaptability and robustness.

This invention discloses a design method for redundant modules in a distributed system, belonging to the field of system control technology. It includes: module architecture design, module function design, and module workflow design. The module architecture comprises a configuration layer, a communication layer, a logic layer, and an application layer. The module functions include configuration, management, detection, availability assessment, decision-making, and information synchronization functions. The redundant modules are located on different hardware devices within the distributed system. This invention improves resource utilization.

The invention relates to a cross-platform service interaction data processing method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the polling of a target database according to a preset period, so as to query a target identifier; under the condition that the target identifier is queried, executing a preset data processing operation to obtain a single table identifier; according to the identification type of the single table identification, the single table identification is written into the target database, and different single table identifications of different dates in the target database are unique; under the condition that a plurality of preset single table identifiers exist in a target database and the dates of the preset single table identifiers are the same, generating a combined identifier according to the preset single table identifiers; and realizing data interaction between the off-line data warehouse and the cross-platform business system based on the single table identifier or the combined identifier, so that efficient interaction between the off-line data warehouse and the cross-platform business system is realized through the identifier-driven workflow design, and the reliability and traceability of data circulation are improved.

According to a technique of designing an intelligent workflow, a processor determines an intelligent workflow including a plurality of workflow steps to be performed. The processor performs digital twin simulation of performance of the intelligent workflow in a physical production environment. The processor determines, based on the digital twin simulation, at least one type of intelligence among a plurality of types of intelligences to be allocated to each of multiple of the plurality of workflow steps. The processor determines multiple types of intelligences for the plurality of workflow steps. The processor allocates and deploys, in the physical production environment, production resources possessing the determined types of intelligences. The processor thereafter iteratively optimizes the intelligent workflow based on observation of execution of the intelligent workflow by the deployed performance resources in the physical production environment.

This invention discloses a method for generating urban bridge models based on parametric rule-driven principles, belonging to the field of bridge model generation technology. The method includes: S1, determining the workflow design mode and generating a skeleton model using different generation methods based on different design modes; S2, inputting the skeleton model into urban 3D modeling software and using CGA rules to drive the skeleton model to generate a 3D model of the bridge superstructure; S3, inputting the skeleton model into urban 3D modeling software and using CGA rules to drive the skeleton model to generate a 3D model of the bridge substructure; S4, using an interactive parameter adjustment interface to dynamically adjust the parameters of the 3D models of the bridge superstructure and substructure; and S5, outputting the adjusted 3D models of the bridge superstructure, substructure, and terrain layer as scene assets. This invention uses CGA rule code to achieve automated modeling, improving model generation efficiency and accuracy while reducing modeling costs and data delivery difficulty.

The invention discloses a knowledge question and answer method and device, belongs to the technical field of artificial intelligence, and aims to solve the problems of low management and query efficiency and high dependency on technical support personnel of traditional documents in banks, and the method comprises the steps of external knowledge base construction, document standardization processing, knowledge storage, workflow design and user question and answer. The system comprises a document management module, a knowledge base management unit, a workflow management module, a knowledge retrieval module, a natural language understanding and generating module and a dialogue module. According to the system and the method, knowledge management intelligent upgrading is realized, the problem solving efficiency is improved, the working pressure of technicians is reduced, the problem self-solving ability of employees is cultivated, and the system and the method have important application value.

The invention provides a workflow design method and system based on Raphael. The workflow design method comprises the following steps: constructing a flow chart comprising a starting node, a task node, an ending node and a flow line through a WEB flow designer developed based on a Raphael vector graphics library; an executor attribute and a Grouping script used for injecting service logic are configured for each task node, and a condition judgment script is configured for each outbound connecting line; according to the method, a flow chart is serialized into a flow definition file in a JSON format, then the flow definition file in the JSON format is analyzed into structured data, an executable flow model is further generated, then a workflow engine is utilized to execute Grouping scripts of task nodes one by one, and corresponding task node instances are generated; according to the configured connection line condition, the circulation line meeting the script verification condition is judged, the next ready node is generated, the to-be-processed person is pushed to the required executor, and the process is repeated and successively passes through the multiple nodes until the process is ended, so that the coupling degree between the workflow and the service system is effectively reduced, and the method has the characteristics of high flexibility, strong expansibility and the like.

The invention provides an application programming interface arrangement model training method and device and an arrangement method and device. The method comprises the following steps: converting an original call log into a feature directed heterogeneous graph containing topology, performance and error information; and then incremental link reasoning is executed in the context sub-graph based on the graph neural network, an API calling link with the highest probability is automatically generated and performance estimation is carried out, and intelligent recommendation of an arrangement scheme is realized. In the training process, topology accuracy, delay and error rate are synchronously optimized through a composite loss function, and model fusion function correctness and operation efficiency are driven. According to the method, the workflow design is converted into automatic generation from manual arrangement, so that the development efficiency is greatly improved; and meanwhile, self iteration is realized by relying on data backflow during operation, and the adaptability and robustness of the system are continuously enhanced.

The invention relates to the technical field of work management, in particular to an automatic collaborative approval system and method based on workflow. The method comprises the steps that a user management unit performs user registration, login and authority management based on a management module; the workflow design unit defines and manages nodes, paths and conditions of the process based on the business process model; the task management unit distributes tasks based on the flow defined by the workflow design unit and according to the authority and the role of the user; and the examination and approval decision unit performs parallel examination and approval strategy configuration and examination and approval result processing based on the task information provided by the task management unit. By defining and managing the business process model, the system can automatically process circulation of tasks, manual intervention is reduced, and working efficiency is improved. A role and permission model is defined through the permission management module, it is ensured that users can only access and operate authorized resources, and unauthorized access and operation are prevented.