72 results about "Process description" patented technology

The invention discloses a biochemical experiment automation script training generation method based on RAG and DPO. The method comprises the steps that biochemical experiment technical documents are collected to serve as an external knowledge base; the BM25 and the Fiss are fused to construct a hybrid retriever; generating experimental process description by using a large language model, determining equipment, protocols and materials, and retrieving related documents from a knowledge base on the basis of the experimental process description, the protocols and the materials; generating an experiment script based on a retrieval result, and performing platform simulation verification, and performing iterative optimization on the script which fails in verification; marking successful and failed scripts as preference data pairs, and constructing a training set; carrying out LoRA fine tuning on a local large language model by adopting direct preference optimization; and according to a target and appliance prompt input by a user, generating a verified experiment script by using the large language model after direct preference optimization training. According to the method, the script generation automation level and the passing rate are remarkably improved, the manual intervention cost is reduced, and an efficient solution is provided for automation of biochemical experiments.

The invention discloses a cloud PLC runtime task dynamic reconstruction system and method, and relates to the technical field of automation control, the system comprises a function library used for storing function block types and function block instances; the task trigger is used for managing the execution time of the task executor; the task executor is used for calling the corresponding function block instance from the function library; the configuration file analysis unit is used for receiving and analyzing the parameter information of the new function block type to obtain the new function block type, and receiving and analyzing the task process description file to construct task process information; the function block management unit is used for storing the new function block type into a function library and constructing a corresponding function block instance based on the function block type; and the task construction unit is used for modifying the task flow information and configuring the execution time. The technical problems that in the prior art, the system reconstruction resource loss is large, and reconstruction can only be carried out in the existing function block range during operation are 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.

The invention discloses an RPA knowledge base updating method of an AI agent, and relates to the field of robot process automation, and the method comprises the steps: generating a process description by using an LLM of the AI agent; the flow description is converted into a flow chart # imgabs0 #; an RPA knowledge base of the AI agent is constructed, the RPA knowledge base comprises executable process knowledge and abstract process knowledge, and each piece of abstract process knowledge corresponds to a plurality of pieces of executable process knowledge; calculating the similarity between the flow chart # imgabs 1 # and the abstract flow knowledge, and finding the most similar abstract flow knowledge # imgabs 2 #; performing similarity measurement on executable flow knowledge corresponding to the flow charts # imgabs3 # and # imgabs4 #; fusing the executable process knowledge of which the similarity is greater than a threshold value with the flow chart # imgabs5 # to obtain a new executable process knowledge set; new abstract process knowledge is summarized through a large language model, and an RPA knowledge base of the AI agent is updated. According to the method, the process can be automatically updated and optimized according to the new task.

The invention provides a process identification method based on model features, which comprises the following steps that: a process knowledge graph is constructed by extracting a relation node triple in a standard process description text, and the node types of the graph comprise feature nodes, process nodes, equipment nodes, cutter nodes and clamp nodes; the relation between every two adjacent nodes comprises an available process, a preorder process, available equipment, initial machining, tool assembling and clamp assembling. Obtaining a geometric model of a to-be-machined mechanical part, extracting geometric feature attributes of the to-be-machined mechanical part, and determining a feature topological relation to obtain machining features; and starting from the feature nodes corresponding to the machining features by adopting an inverted sequence search method, screening out nodes meeting the machining requirements of the to-be-machined mechanical part from the process knowledge graph, and obtaining a complete process scheme. The method can deeply excavate the correlation between the geometric features of the part model and the machining process, improves the process identification accuracy, and is wide in applicability.

The invention discloses a manufacturing industry process parameter optimization method based on a knowledge graph, and belongs to the field of manufacturing industry intellectualization. The technical problems that in the prior art, parameter optimization depends on artificial experience, systematic management is lacked, intelligent reasoning is difficult to conduct, and knowledge retrieval precision is low are solved. The method comprises the steps of firstly collecting and preprocessing manufacturing industry process data; then, constructing a semantic vector embedding model, and converting the process description into vector representation by adopting a pre-trained bidirectional encoder; defining a process knowledge ontology model, and establishing a parameter association relationship through semantic coding to form a knowledge graph; storing the coded knowledge vector into a distributed database and establishing a retrieval index; user requirements are received, and parameter matching is carried out through cosine similarity calculation; optimizing the matching parameters based on the knowledge graph association relationship; and finally collecting feedback to continuously update the knowledge graph. Through continuous optimization of the feedback learning mechanism, the precision and efficiency of technological parameter optimization in the manufacturing industry are improved.

The invention discloses an SRAF graph generation method and system based on a large language model, and the method comprises the steps: carrying out the preprocessing of multi-modal sample data collected in advance, converting the sample data into word vectors which can be recognized by the large language model, the sample data comprises an SRAF graph, a target layout pattern for generating the SRAF graph and a process description in a text form; inputting the preprocessed training data into a large language model for training to obtain an SRAF generation model capable of automatically generating an SRAF graph according to the target layout pattern and the process description; and inputting the preprocessed pattern and process description of the target layout into the SRAF generation model, and automatically generating an SRAF graph of the target layout. By adopting the technical method provided by the invention, the generation efficiency of the SRAF graph can be improved.

The invention relates to the field of information management systems, and discloses an approval process intelligent information management method and device based on LLM, and the method comprises the steps: constructing an approval process description vector library; the user inputs an approval demand, and meanwhile, the approval demand is vectorized to obtain a user approval demand vector; inputting the user approval demand vector into an approval process description vector library for matching to obtain an approval process entry with the highest matching degree; and the user enters the approval process entrance with the highest matching degree, and performs approval process circulation according to a preset template. According to the invention, the intensity of the manual approval process is obviously reduced, and the approval efficiency is improved.

The invention provides a medical business process generation method and device, equipment and a storage medium, and relates to the technical field of medical treatment. According to the method, a process investigation file of a target hospital is obtained, and the process investigation file comprises process description information of multiple medical services in the target hospital; and according to the process description information of the plurality of medical businesses, updating configuration information of target process nodes corresponding to the plurality of medical businesses in a preset standard flow chart, and generating a target flow chart of the target hospital. Therefore, the target flow chart of the target hospital is generated according to the format of the standard flow chart, so that the medical business process of each hospital is clearer and is convenient for a user to use, the user can intuitively and comprehensively know the business process of the hospital, and the user experience is 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 discloses an automatic inspection method suitable for a building heating and ventilation system before intelligent regulation and control input, and the method comprises the steps: carrying out the standardized definition of a connection relation and associated equipment related to the building heating and ventilation system, obtaining a standardized construction building heating and ventilation system process description language, and storing the language in a database; performing algorithm availability selection based on the building heating and ventilation system, and determining a corresponding regulation and control algorithm and input and output parameters; based on a parameter dependency relationship dynamic verification mechanism oriented to a physical link of the building heating and ventilation system, performing dependency relationship verification on the input and output parameters; and carrying out regulation and control adaptability data baseline evaluation on the input and output parameters of which the dependency relationship verification is successful, and carrying out control logic simulation and verification by calling an API (Application Program Interface). According to the method, an AI algorithm user or developer can be efficiently helped to perform full self-inspection before the algorithm is input, and the reliability before the algorithm is input is guaranteed; and meanwhile, related AI algorithm practitioners are helped to optimize algorithm engineering.

The application discloses a design method and device of a silicon optical circuit, a storage medium and an electronic device. The method comprises the following steps: obtaining an optical design file input by a user and a preset process description file, and analyzing the optical design file and the process description file to obtain design parameters of the silicon optical circuit; generating path parameters meeting a first target dimension constraint condition based on the design parameters through a pre-trained path generation network; wherein the first target dimension at least comprises a geometric dimension, an optical dimension and a process dimension; constructing a path geometric model based on the path parameters, converting the path geometric model into layout data under a target process, and generating an initial layout file of the silicon optical circuit based on the layout data; performing photoelectric consistency verification on the initial layout file, and determining a target layout file corresponding to the initial layout file based on a verification result. Through the technical scheme provided by the application, the layout and wiring of the silicon optical circuit can be optimized to meet the design requirements of the silicon optical circuit.

This application provides a method, apparatus, device, medium, and program product for developing business process software. It relates to the field of financial technology. The method includes: responding to receiving a visual orchestration topology diagram constructed by a user through a preset visual orchestration editor; generating an operation instruction set corresponding to the visual orchestration topology diagram using a preset semantic bridging compiler; constructing an intermediate description model based on the operation instruction set and generating a structured process description file; determining a target program design pattern based on the intermediate description model; and generating corresponding application code based on the target program design pattern and the structured process description file. This method allows business personnel to directly design processes through a visual interface and generate code in real time, significantly shortening development time. The code structure based on the program design pattern ensures high cohesion and low coupling, reduces human error, and is easy to extend and maintain.

The invention provides a digital IP configuration management system based on Python. The system comprises a configuration table, a Python script, a verification configuration code, an FPGA configuration code, an ASIC configuration code and a process description file. A python script is used as a system main body, a standardized configuration table is used as input, and an RTL verification configuration code, an FPGA configuration code, an ASIC configuration code and a user-oriented process description file can be automatically generated according to needs. According to the python-based digital IP configuration management system provided by the invention, a conventional register table configuration content is normalized into three different python data sets, and an adaptive python script is combined, so that an RTL verification configuration code, an FPGA configuration code, an ASIC configuration code and a user-oriented process description file can be automatically generated according to needs, and the configuration efficiency is improved. The communication cost of developers with a plurality of related parties in each development stage is greatly reduced, IP development standardization is facilitated, unified management and accumulation of assets in the organization process are facilitated, and later maintenance of workers is also facilitated.

This application provides a text processing method, apparatus, computer device, and readable storage medium. The method includes: acquiring business text provided by a business object for a business task, historical text associated with the business task, and a process description syntax corresponding to the business task; the process description syntax includes S process operations of a workflow; modifying the process description syntax according to the historical text to obtain a modified process description syntax corresponding to the business task; the modified process description syntax includes N process operations that can be executed after executing the process operations corresponding to the historical text; determining the modified process description syntax as prompt words; inputting the business text, historical text, and prompt words into a large language model; outputting candidate output text through the large language model; and determining the response text used to reply to the business text in the business task based on the candidate output text and associated process operations. This application can improve the reliability of text responses.

The invention provides a spacecraft fault handling flow chart construction method and device and an executable script generation method and device, and can be applied to the technical field of computers. According to the spacecraft fault disposal flow chart construction and executable script generation method and device provided by the embodiment of the invention, the fault disposal process is described by adopting the state nodes, the fault disposal process is bound in a graphical manner, the fault disposal process is visually displayed, the operation is easy, the binding correctness of the fault disposal process is conveniently checked, and the fault disposal efficiency is improved. According to the fault disposal process description method based on the structured text, a starting node serves as a starting point, an ending node serves as an ending point, a node relation network is traversed according to a connection relation, graphical nodes and the relation network are converted into a fault disposal process structured description text, and the fault disposal process description text is converted into a fault disposal program. And the spacecraft fault can be automatically handled.

The present invention discloses a method for generating processing description content based on a 3D CAD model, comprising: establishing a processing description content template database; establishing a 3D CAD model processing area vector database based on the processing description content template database; establishing 3D CAD model views according to the process and step granularity of the preset 3D CAD model; assigning the 3D CAD model views to be processed and achieved according to the process and step to form a process and step dimensioning view set; and generating a process and step process description content result by extracting model information and capturing images of the view dimensioning-associated area based on the process and step dimensioning view set, the processing description content template database, and the 3D CAD model processing area vector database. The present invention improves the efficiency of process specification compilation and enhances the standardization and consistency of process description content in process specifications.

A method, (e.g., a computer-implemented method), of generating a production plan is provided. The method includes obtaining one or more product and / or production characteristics, (e.g., a production content, a production time, and / or a production quantity, for example, in a E-BOM, M-BOM, and / or CAD file format), for a product to be manufactured. The method further includes determining, by a rule engine, based on the one or more product and / or production characteristics, one or more library elements from a plurality of library elements, wherein each library element includes one or more process descriptions relating to the characteristic. The method further includes arranging, by the rule engine, the one or more process descriptions into a production plan.

The application provides a railway system operation behavior modeling method and system based on behavior primitives and hierarchical state machines, and belongs to the technical field of railway system modeling and simulation operation. The application abstracts the railway system operation process into behavior primitive units, classifies and expresses them according to event perception, cognitive decision and intervention execution, realizes the structural decomposition and unified modeling of complex operation behaviors, upgrades the behavior expression from 'process description' to 'computable behavior unit', enhances the resolvability and modeling consistency of operation behaviors, constructs a hierarchical state machine system, realizes the cross-level state collaborative expression, establishes system-level, equipment-level and component-level hierarchical state machine models, introduces state mapping relationships, realizes the collaborative evolution expression of different granularity operation states, takes the behavior primitives as a unified triggering mechanism, realizes the cross-level state synchronous update and consistency mapping, and improves the multi-scale operation behavior modeling capability.

The application provides an NLP-based RPA process generation method, device and medium. The method obtains a corpus data set and processes the corpus data set based on a preprocessing rule. Based on the preprocessed corpus data set, a preset random forest model is trained, and the trained random forest model is used as an NLP classification model. The NLP classification model includes a plurality of classifiers corresponding to the corpus data set. An RPA process description text from a user terminal is obtained, the RPA process description text is input into the NLP classification model to determine a corresponding process description sequence. The RPA process description data is matched with RPA component information. According to the process description sequence, an RPA business process corresponding to the RPA process description text is generated and sent to the user terminal. The method solves the problem that the current RPA business process generation relies on manual work and the process generation efficiency is low, which affects the user experience of the RPA system.

The present invention provides a method for automatically constructing a mathematical simulation software framework for an aircraft, belonging to the technical field of system simulation, and comprising the following steps: S1: encapsulate each discipline model and store the information in a model library; S2: read a graphical simulation process description file; S3: perform DTD constraint verification on the file; if the file is invalid, execute S13; if it is valid, execute S4; S4: parse the file; S5: connect to the model library, if the connection fails, execute S13; if the connection is successful, execute S6; S6: obtain the information parsed in S3 from the model library; S7: check whether the input and output match; S8: if the connection rules are not met, execute S13; if they are met, execute S9; S9: determine the execution order of each model; S10: generate a basic simulation program framework; S11: add call codes for model initialization functions; S12: add call codes for model running functions to obtain a mathematical simulation software, solving the problem of slow framework construction speed in the prior art.

The invention relates to the technical field of multi-party cooperative work, in particular to a multi-party cooperative process control and guidance method and device, and the method comprises the steps: compiling a script file for describing a target complex task according to a preset description model of the multi-party cooperative process; performing interpretation, task process visualization, state updating and task sequence control on the script file by utilizing a multi-party collaborative process control and guidance tool; based on a data transponder mechanism, task commands and variable settings are sent to multiple parties in related directions according to a multi-party collaborative process control and guidance tool and received collaborative requests of all parties, so that the state is updated, task progress is coordinated, and multiple parties are guided to collaboratively complete a target complex task. Therefore, the problems that an existing multi-party cooperative working method lacks real-time guidance and control on the cooperative process, has high requirements on program understanding, manual coordination and recording, is affected by programming quality and the like are solved.

The invention belongs to the technical field of artificial intelligence, and provides a system operation process description generation method and device based on artificial intelligence. According to the technical scheme, key value pair matching is conducted on element names and display names; interaction information of a user and a service system is analyzed, analysis and feature extraction are carried out on the interaction information, key information and intention of user interaction are obtained, all service process information is stored in the constructed database, and the service process information comprises the interaction information, an analysis result, the key information and intention information; performing feature extraction, feature selection and feature coding on the business process information, and generating a sequence description of the business process by using the trained operation process description generation model; the key value pair matching result is performed according to the element name and the display name, and the sequence description of the business process is converted into the display result to be output, so that the problems of use cost and information security risk are solved, and accurate requirements are provided for RPA business process design.

The invention provides a business process self-construction and evolution method, and relates to the technical field of information technology application and business process management, and the method comprises the steps: automatically recognizing process characteristics according to a current business environment, generating process description, and constructing an executable process entity, and dynamically matching and executing required resources and a calling mode thereof in combination with a resource library and an access framework, and driving process operation and verification according to actual parameters to realize self-adaptive construction and efficient execution of a service process.

The invention discloses a processing technology description content generation method based on a three-dimensional CAD model. The method comprises the following steps: establishing a processing technology description content template database; establishing a three-dimensional CAD model processing area vector database according to the processing technology description content template database; a three-dimensional CAD model view is established for a preset three-dimensional CAD model according to the working procedure and the working step granularity, size marking requirements needing to be machined and met are distributed to the three-dimensional CAD model view according to the working procedure and the working step, and a working procedure and working step size marking view set is formed; and according to the process step size marking view set, the processing technology description content template database and the three-dimensional CAD model processing area vector database, generating a process step technology description content result through model information extraction and view size marking associated area image interception. According to the method, the process procedure compiling efficiency is improved, and the normalization and consistency of the process description content of the process procedure are improved.

The invention provides a customer service statement generation method and device, and belongs to the technical field of natural language processing. The method comprises the steps of obtaining a preset flow description text corresponding to a target dialogue scene, wherein the preset flow description text is textualized representation of a preset flow chart; analyzing the preset flow description text, and adding mark text information corresponding to elements of a preset flow chart in the preset flow description text to obtain a structured description text; and according to the structured description text, constructing prompt information, and based on a preset question and answer model, according to the prompt information, generating a dialogue customer service statement corresponding to the target dialogue of the user. According to the embodiment of the invention, organic unification of intelligence and certainty of customer service statement generation can be realized.

The invention relates to a laboratory quality management system process management method, device and equipment. The method comprises the following steps: identifying and extracting a core business process of a laboratory; analyzing the core business process, and determining process related information corresponding to the core business process; generating a flow chart and a flow description according to the flow related information; and establishing a quality management strategy corresponding to the core business process according to the flow chart and the process description. According to the method provided by the invention, by extracting the core business process, carding the process related information in the business process, generating the flow chart and the process description and establishing the quality management strategy, the process management and monitoring of the business process can be automatically realized through the quality management strategy, the optimal configuration of resources is realized, the human error is reduced, and the efficiency is improved. And the laboratory quality management efficiency and effect are improved.

The invention provides an operation consistency detection method and device, equipment, a medium and a program product. The operation consistency detection method comprises the steps that a first key element corresponding to a first operation name in operation process description is extracted; extracting a second key element corresponding to a second operation name in the target data; comparing the first key element with the second key element to obtain a comparison result; and based on the comparison result, determining a consistency detection result of the second operation name and the operation process description in the target data. The detection accuracy of detecting whether the operation name is consistent with the actual operation or not can be improved.

This invention relates to a task allocation method, apparatus, device, medium, and program product. In this method, the historical similarity allocation gain and matching value corresponding to each task are determined based on the task execution environment description text, multiple historical task execution process description vectors, the capability parameters of each mobile device to be allocated, and the requirement parameters of each task. The task execution cost corresponding to each task is calculated based on the location and speed of each mobile device to be allocated, as well as the task location and preset basic cost of each task. A single-objective optimization model is then constructed and solved to obtain the allocation result for each mobile device to be allocated and each task. This solution, by constructing a single-objective optimization model and solving it using matching value, historical allocation gain, and task execution cost, can improve the matching degree between mobile devices and tasks.

The present invention relates to the technical field of software system modeling design, and discloses a process description and operation control method and control system in a distributed environment. The process description and operation control method comprises the following steps: S1, defining a process model: describing the process in a text format independent of the programming language, and supporting extended programming of active block models in the form of extension packages; S2, loading and running the process model: the process operation control service runs the loaded process model and monitors and controls the operation of the process through a process information list. The present invention solves the problems existing in the prior art, such as the difficulty in quickly defining processes, the low reuse of exception handling solutions, the poor scalability of process models, and the poor operational stability in a distributed environment.