107 results about "Process engine" patented technology

The invention discloses a lightweight knowledge graph rapid construction method and system based on an NLP technology. The method comprises the steps of preprocessing an unstructured text and segmenting the unstructured text into semantic segments; unsupervised clustering is combined with the contour coefficient to determine the optimal clustering number, and a semantic association fragment cluster is obtained; performing word segmentation, part-of-speech tagging, NER and entity linking on the fragment cluster, extracting an entity and initial relationship, and fusing semantic similarity, TF-IDF word frequency collaboration degree and co-occurrence frequency to calculate a relationship edge weight; constructing a lightweight knowledge graph; in the question and answer stage, questions are disassembled through a process engine, related sub-graphs are retrieved, and answers with reasoning links are generated. The system correspondingly comprises a text preprocessing module, a clustering module, an entity relation processing module, a graph construction module, a question and answer reasoning module and a storage module. According to the method, the construction cost is reduced, the interpretability and the module coupling degree are improved, multiple scenes such as government and enterprise public opinions and medical assistance are adapted, and the problems of weak generalization, poor real-time performance and'black box 'in the traditional technology are solved.

The invention relates to the technical field of collaborative management, in particular to a business collaboration method based on a process engine, which comprises the following steps: acquiring approval process nodes and post fields, establishing node parameter mapping, extracting customer reconciliation process field paths, generating a field coverage set, analyzing contract archiving responsibility actions, and constructing a responsibility sequence link. And matching a financial reimbursement process cooperation path, correcting an offset node to generate a cooperation task flow, calculating an internal instruction process node priority, and generating a task triggering list. According to the method, the node fields and the role identifiers in the approval process are obtained, the field consistency mapping relation is constructed, and a field continuous path screening mechanism is combined, so that the penetrating power and the tracing accuracy of parameters among cross-process nodes are improved, and the sequence of node responsibilities has a verifiable logic chain; through a node offset detection and path connectivity construction mode, accurate task execution sequence control is provided in multi-source task scheduling.

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 business process intelligent configuration and security execution method, system and device, and the method comprises the steps: converting a natural language demand into a BPMN 2.0 process model based on a large language model and an enterprise knowledge base; the service rule description is converted into a Grouping script through multi-level security compiling; the process and the script are executed in the Flowable process engine integrated with the security sandbox, and execution data are collected; and calculating a process health score based on the data, generating and implementing an optimization suggestion, and feeding back a result to the knowledge base. The problems that a traditional process system depends on manual coding, the script safety is poor, and continuous optimization is lacked can be solved. The full-link automation and intelligentization of the business process from design, execution to optimization can be realized, the development efficiency and the system security are greatly improved, and the process has the self-evolution capability through closed-loop feedback.

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 construction method of a single-cell multi-omics data analysis system based on a containerization technology, and the construction method of the single-cell multi-omics data analysis system based on the containerization technology comprises the following steps: constructing a single-cell multi-omics analysis modular toolkit; a production mirror image is constructed on the high-performance cluster through a Single container engine, and deployment of a production environment is completed; a single-cell multi-omics automatic analysis platform is built through a snakemake process engine; and a JupyterLab interactive analysis platform for exploratory analysis of the single-cell multi-omics data is constructed. According to the single-cell multi-omics data analysis system construction method based on the containerization technology, the data acquisition link in the analysis process is accelerated, an automatic working process is formed to solve the problem of complex process, and the actual requirements of multiple users on a high-performance computing cluster for scientific exploration and analysis of single-cell data are met.

The invention discloses a dynamic self-verification method based on service flow-test flow homologous heterogeneous execution. The method comprises the following steps: uniformly describing service logic and a corresponding interface test contract through a strong type of domain specific language (DSL); the method comprises the following steps: simultaneously compiling homologous DSL descriptions into stateful business workflows executed by a process engine and stateless and combinable atomic test contract sets called by a test executor by utilizing a double-path compiling engine; during operation, loose coupling synchronous triggering and execution of a service flow and a test flow are realized based on a high-throughput event bus, and real-time and high-fidelity contract verification, performance monitoring and chaos probe testing are performed on cross-system interface calling in a production environment. According to the invention, the traditional post-event and off-line integration test is converted into the in-event, on-line and continuous system endogenous capability, and the industrial problems that the complex enterprise system group integration test is difficult and the operation and maintenance monitoring is passive are effectively solved.

The invention discloses a low-code self-defined work order design method and system and a storage medium, and belongs to the technical field of work order self-defined design, and the method comprises the steps: carrying out the analysis and business modeling of a business scene, and obtaining a new business work order; performing work order process configuration on the newly-built business work order based on a process engine; configuring a form for each link of the configured work order process based on a form engine; performing scheduling rule configuration on the form of each process node based on a middle table rule engine; and starting the configured form based on the scheduling module, and completing the creation and processing of the new business work order. According to the method, the work order is configured in a low-code or code-free mode, a newly-added business scene is quickly supported in a form process customizing mode, the flexibility of the system is improved, and the customization capability is enhanced. The service rule is stripped from the service code by docking the middle station rule engine, so that the scheduling rule is flexible and configurable, automatic arrangement, scheduling and execution of the rule are realized, and the efficiency is improved.

The invention provides an iron tower operation management method and device based on process engine driving, and the method comprises the steps: calling a business process management engine, constructing a business process instance according to an iron tower construction process, and operating the business process instance; dividing the target area into a plurality of grid units in response to the situation that the business process instance flows to the site selection node, and determining the score of each grid unit; determining the position information of the target grid unit with the highest score as the site of the to-be-built iron tower; and returning the site to the business process instance, and driving the business process instance to flow to the next node. The business process instance of the iron tower business is constructed and operated based on the business process management engine, automatic circulation of the whole life cycle of iron tower construction is realized, and the overall efficiency and response speed of iron tower operation management are improved. In a site selection link, grid processing is performed on a target area of the iron tower, quantitative scoring is performed in combination with population thermodynamic information and stock site information, and the accuracy of site selection is ensured.

The invention relates to the technical field of after-sales process scheduling, in particular to a clock after-sales task assignment method and system based on a process engine, and the method comprises the following steps: obtaining a request extraction time identifier state, replacing a path to adjust a node update sequence after a transfer instruction is generated, completing task assignment, and generating a record. According to the method, the response time node is generated by extracting the task request time to realize accurate definition of the task response period, whether the task is overtime or not is dynamically judged to construct a delay identification mechanism, and path reconstruction is carried out in combination with a delay identifier to realize self-adaptive replacement and priority redefinition of a task flow path. The method comprises the following steps: establishing a task, identifying and executing redundant nodes, dynamically applying an acceleration node template to optimize an execution link, constructing automatic mapping between the task and a terminal to complete final task assignment, realizing unification of task response control, exception handling, adaptive path optimization and efficient task delivery, and improving clock after-sales task processing efficiency and service response quality.

The invention discloses an intelligent data retrieval and presentation system and method fusing a large model and a process engine. The system comprises a large model layer, a process engine layer, a data interface layer and a presentation layer. The large model layer is used for carrying out secondary semantic analysis and associated word expansion according to a business data query demand to generate a structured retrieval instruction; the analysis module is also used for performing data analysis through the intelligent attribution model to generate an analysis result; the process engine layer is used for generating a matched business process template, cleaning and integrating original data, and sending data display configuration to the presentation layer; the data interface layer is used for acquiring original business data and feeding back to the process engine layer; and the presentation layer is used for performing visual display according to the data analysis result and providing a questioning interface to obtain a new demand of the user. According to the method and the system, accurate processing and efficient presentation of the business data in the ERP system are realized, and the problems of low data retrieval and analysis efficiency and insufficient intelligence of the traditional ERP system are solved.

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 application provides a process engine-based autonomous operation method and system for an interoperability verification task, a virtual-real combined simulation environment is constructed by including field equipment operation data, laboratory scaled component state information and a software simulation model, an actual operation scene of a road electromechanical equipment interoperability mechanism is simulated, an interoperability verification task is generated according to a preset verification requirement parameter set, a process engine is called to analyze the task and plan an execution process, the task is executed in the virtual-real combined simulation environment according to the execution process, message transmission data, state response data and time synchronization data in the equipment interaction process are collected in real time, interoperability verification results including interaction message integrity description, state response consistency record and time synchronization accuracy description are generated based on the message transmission data, the state response data and the time synchronization data, so that the verification task can be autonomously planned, and a comprehensive and real test environment is provided.

This invention discloses a business process execution method, apparatus, device, and computer-readable storage medium. The method includes: a process engine based on an ECA model listening to business flow events in multiple business scenarios and acquiring each business event within the business flow events; acquiring target process nodes corresponding to each business event from preset process nodes corresponding to multiple business scenarios, and executing target H5 pages corresponding to the event nodes of each business event based on the target process nodes; determining the next pending event corresponding to each business event in each target process node based on the event nodes of each business event; using the pending event as the business event, and returning to execute the step of the process engine acquiring the target process nodes corresponding to each business event. This invention realizes the execution control of H5 page flow, thereby freeing the front-end of the business scenario from concern with business process logic control, improving the convenience of front-end development.

A neural processing unit (NPU) may perform computations in integer domains to execute a floating-point model. The NPU may include an input delivery unit (IDU), a processing engine, and a post-processing engine. The IDU may convert floating-point weights to integers, e.g., by normalizing the floating-point weights, mapping the normalized floating-point values to normalized integer values using a look-up table, and scaling up the normalized integer values into integer values. The IDU may load the integer values into the processing engine through an integer datapath in the NPU. The processing engine may compute an output tensor of a neural network operation using the integer values. The post-processing engine may perform per-channel quantization of the output tensor using channel-specific quantization parameters stored in configuration registers of the post-processing engine. The look-up table and configuration registers may be programmed with configuration parameters determined by a compiler.

The invention discloses a process engine-driven industrial large model and expert knowledge collaborative equipment fault diagnosis method and system. The method comprises the following steps: acquiring multi-modal data of equipment historical faults to construct a data set; dynamically mapping a fault diagnosis demand and a flow based on a flow engine, and generating a personalized diagnosis flow; correcting the data set through expert knowledge and constructing a knowledge graph; in the training stage, expert constraint and an attention mechanism are introduced, multi-modal features are fused, a preliminary fault diagnosis result is generated, and an intelligent diagnosis model is obtained through knowledge graph iterative optimization; and acquiring equipment fault data in real time, inputting the equipment fault data into the intelligent diagnosis model, outputting a diagnosis result and an operation and maintenance suggestion, and continuously optimizing the model according to user feedback and expert support. According to the method, flexible adaptation and dynamic adjustment of the diagnosis process are realized through the dynamic mapping type process engine; through a full-process cooperation mechanism of expert knowledge, deep fusion of multi-modal data and expert knowledge is realized, and diagnosis precision and interpretability are improved.

The application discloses a data base system based on an event hub and an event processing method, and relates to the technical field of computer data processing. The system comprises a heterogeneous system interaction module which is connected to an external system under the verification and authorization of an authentication center, acquires multi-source initial data and transmits the data to an event hub, and also receives and sends standardized data; the event hub calls the dynamically configurable business logic of a code center, processes the multi-source initial data into standardized data, and performs directional distribution; the code center is a pluggable and dynamically loaded business logic management center, the dynamically configurable business logic of the code center comprises various forms such as low-code configuration, script code, rule set and built-in algorithm, and the code center opens an interface to the event hub after authentication; a process engine receives the standardized data and triggers an approval process; and a data center stores data and provides a query interface. The system can improve the problems of heterogeneous system integration difficulty and data island, improve data processing efficiency, reduce customization cost, and enhance data security.

The invention discloses a new energy field operation full-process safety monitoring system and method fused with Internet of Things perception. The system comprises a perception layer, an edge layer and a cloud layer. The sensing layer, the edge layer and the cloud layer are in communication connection in sequence; the sensing layer comprises a personnel identification unit, a tool identification unit, an environment and meteorological monitoring unit and a video image identification unit; the edge layer comprises an edge controller, and the edge controller comprises a data access module, a risk scoring module, a four-state consistency interlocking module, a falling and weather composite linkage module and an interlocking execution module; the cloud layer comprises an operation process engine, a dynamic risk learning model, a digital twin tool management module, an isolation point intelligent confirmation module and a block chain evidence obtaining module. And synchronous sensing and dynamic interlocking control of personnel, tools, environments and operation processes are realized.

The invention provides a method for arranging an agent process workflow, and belongs to the field of workflow arrangement. The method defines a service through an agent and arranges a workflow execution flow direction, and comprises the following steps: S1, selecting to access a self-defined process agent; s2, a flow starting operation related flow variable is introduced, and a flow starting flow is called; s3, judging whether flow starting is successful or not, and if yes, turning to S3; if not, whether the number of times of starting the execution process reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S2S3 is executed, and the process is executed; s4, judging whether the process is executed successfully or not, and if yes, turning to S4; if not, whether the number of times of flow execution reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S3 is executed again; s4, calling an API (Application Program Interface), and accessing an intelligent agent; and S5, ending. According to the method, a natural language-driven process is realized and a use threshold is reduced; and the flow process engine and the embedded architecture are decoupled, and the flow diagram is decoupled, so that the extensibility of the process service is improved.

The invention discloses an integration test method and device, electronic equipment and a storage medium, and relates to the technical field of tests.According to the integration test method and device, due to the fact that an authority operation menu can be dynamically matched according to a user function role, role operation redundancy is reduced; automatic scheduling of test plans is realized by calling an interface through an automatic test process engine, and manual intervention is reduced; and the failure log and the transaction global tracking identifier can be associated to generate a defect work order and push the defect work order, and test information circulation is broken through, so that the problems of low test efficiency, information splitting, difficult role collaboration and difficulty in meeting the requirements of agile development and continuous integration caused by multiple existing independent tools can be solved; the technical problems of influence on system testing comprehensiveness and response speed due to the fact that the system testing comprehensiveness and the response speed are solved, and the technical effects of improving the testing efficiency, eliminating information barriers, improving role cooperation, adaptation agility and continuous integration requirements and enhancing the system testing comprehensiveness and the response speed are achieved.

The invention discloses a workflow-based metallurgical production process state tracking method and device, and the method comprises the steps: executing a predefined metallurgical production process composed of a plurality of sequential nodes; in the process execution process, receiving a node completion event from a process engine, a user operation event from an operator and a state updating event from an external monitoring system; and in response to any received event, according to a preset event-state mapping rule, state information of a plurality of associated production elements in the state database is updated in a linkage mode, and the production elements comprise an iron ladle, a transport vehicle, an AOD furnace, a nickel-iron furnace and a chromium-iron furnace. According to the method, the workflow node driving and the multi-source event triggering are combined, so that the real-time, automatic and linkage tracking of the state of the key equipment in the whole metallurgical production process is realized, the defects of information isolated island and state lag in a traditional mode are effectively overcome, and the effectiveness of production scheduling and the refinement level of process management and control are remarkably improved.

This application discloses a method, apparatus, device, and medium for converting process models into Extensible Markup Language (XML) files. If it is necessary to import a process model from a source process management system into a target process management system, the source XML file of the process model needs to be converted into a target XML file that the target process engine can parse. This achieves the synchronization and interaction of process models in process management systems based on different types of process engines.

The invention provides an information processing method which can be applied to the technical field of big data. The information processing method comprises the following steps: acquiring attribute information of a target service; according to the attribute information, forming business input parameters and an initial flow chart by operating the form component and the flow component; configuring initial flow nodes in the initial flow chart based on the business input parameters; converting the initial flow chart into a target flow chart based on the configured initial flow node; matching a plurality of target flow nodes in the target flow chart with the service input parameters to obtain available states of the target flow nodes; determining an execution path of the target process node according to the available state; instantiating the target flow chart through a preset flow engine to generate a flow instance; and determining a running path of the process instance according to the available state and the execution path of the target process node, and running the process instance according to the running path. The invention further provides an information processing device, equipment, a medium and a program product.

The invention provides an intelligent question and answer and business process coupled rail transit system and a coupling method, and relates to the technical field of urban rail transit, the system comprises a knowledge base module, an authority vector filtering module, a hybrid retrieval engine module, a resequencer module, a business process engine module and an interface adapter module. According to the method, the problems of knowledge update lagging, extensive authority and question and answer and business process splitting of an existing rail transit system are solved, release is taken into effect, paragraph-level authority isolation is realized, automatic handling of the OA business process can be completed directly through natural language dialogue, and the real-time, safe and closed-loop business requirements of rail transit are met.

The application discloses a kind of batch comparison automation test method and system for business system, it is related to data testing technical field, method includes: constructing process engine, preconfiguring process engine test process, and according to test process executes following test process: according to test environment, clean historical data information;Generation test data, and verify its accuracy and integrity;Run start old system, test to the old system that starts normally;Real-time tracking data processing process of old system, and backup processing result;Re-clean test environment, and update deployment new system;Run start new system, test to the new system that starts normally;Real-time tracking data processing process of new system, and backup processing result;The processing result of old system and new system is batch compared, generates new and old system data difference comparison report.Through the technical scheme of the application, the probability of manual operation error is greatly reduced, and the test efficiency is improved.

The invention relates to the field of business process management, and provides a process engine asynchronous task processing method, system and device and a medium, and the method comprises the steps: a process engine packages a current to-be-processed external task into a task message, and issues the task message to a message queue; the message queue pushes the task message to the distributed workers; and under the condition that the distributed worker successfully executes the task corresponding to the task message, sending an external task completion request to the process engine, and triggering the process engine to continuously execute the step of packaging the current external task to be processed into the task message by the process engine until the task is finished. According to the method, the decoupling characteristic of the message queue is utilized to reduce the coupling degree of the process engine and the external service, the message queue actively pushes the task message to the distributed worker to reduce the network overhead, and in addition, the distributed worker sends the completion request to the process engine to push the process to continue after the task is successfully executed. And flow blocking caused by service timeout is avoided.

The application discloses a kind of predictive maintenance management systems and methods for environmental sanitation equipment, belong to predictive maintenance management technical field.The system includes data acquisition layer, business logic layer, application layer, the business logic layer is separately connected with data acquisition layer, application layer communication.The data acquisition layer is used to collect the running data of environmental sanitation equipment in the car end;Business logic layer includes life prediction engine, maintenance process engine, inventory linkage engine and cost analysis engine;For processing the data imported by data acquisition layer;Application layer is as the interactive entrance of system and user.The application solves the problems existing in the maintenance management system of existing environmental sanitation equipment, such as unscientific maintenance strategy, low efficiency of management process and lack of decision support capability, and builds a closed-loop, intelligent maintenance management ecosystem.

The application discloses an industrial scene-oriented low-code application construction method, system and product, and relates to the technical field of industrial software development. The method comprises the following steps: receiving a natural language business requirement description, performing semantic analysis and intention recognition by using an industrial vertical large model engine, and automatically generating an adaptive basic system template; responding to a user's drag operation in a visual configuration interface, configuring a business form and a production process by using a form engine and a process engine, and generating a customized industrial application system; establishing a communication connection with a physical device by configuring a device access protocol through an Internet of Things engine, and constructing a digital twin model to map real-time operation data of the device; after starting the system, collecting production data and business data, analyzing the data by using the industrial vertical large model engine, and generating optimization suggestions or early warning information. The application can shorten the industrial software development cycle, realize flexible adaptation and seamless integration of devices in complex industrial scenes, and improve the intelligent level.

The application discloses a kind of process engine implementation method based on multidimensional approver computing engine, it is related to enterprise management technical field, to Camunda process engine bit as foundation, this kind of process engine implementation method based on multidimensional approver computing engine, by the method, based on Camunda process engine core builds stable and reliable engine layer, on it new approval person configuration, personnel analysis and rule matching etc. Core extension component, user is configured by process designer to select person type and parameter, when process flows to corresponding node, flexible person selection extension layer is driven by event in real time to receive and process signal, by the operation of routing of person decision maker, each resolver query extraction information, program script engine calculation and personnel result summary processor de-duplication and merging, obtain accurate approval person list and pass to basic engine allocation task, flow process, until end, the method improves the flexibility and adaptability of process engine, ensure that process is smoothly and efficiently executed.

The invention provides a LangGraph-based customer service system, which comprises an NLP module used for realizing a language interaction center function, and the NLP module has the following functions: receiving natural language input of a user side, the natural language input comprising character input and voice-to-character input; a LangGraph process engine, a knowledge base management module and an enterprise business system are linked; converting the user fuzzy natural language into a structured instruction which can be executed by a platform; dynamically judging a dialogue trend in combination with a LangGraph process node rule; and generating a natural language reply conforming to enterprise specifications based on a knowledge base retrieval result and business system data so as to complete user consultation response and business operation execution. The problem that the labor cost is increased due to lack of intelligentization of user consultation problems caused by lack of flow modeling and business handling capabilities in the prior art is solved.