77 results about "Operations order" patented technology

The invention belongs to the technical field of power grid dispatching, and particularly relates to a power grid dispatching operation ticket checking method for intelligently matching power cut and power transmission measures, and the method comprises the steps: obtaining operation instruction information in an operation ticket and power cut and power transmission measure information in a maintenance application form through a large language model; the power failure and transmission measure information is matched with the operation instruction information by constructing an expert rule knowledge graph, and the correctness of the operation order instruction sequence from top to bottom is checked according to the matching result. Whether the operation order operation instruction is correct or not can be logically verified from the bottom layer based on the overhaul application power failure and power transmission measure reply, the checking depth and breadth are improved, and the change of the checking rule can be flexibly adapted.

The invention relates to the technical field of intelligent power grids, in particular to an anti-error identification and automatic auditing system for intelligent equipment. The system comprises an anti-error identification module and an automatic auditing module, and the anti-error process of the anti-error identification module comprises anti-error analysis in the ticket simulation process, anti-error analysis in auditing, automatic anti-error analysis before execution and anti-error analysis in the execution process. The automatic auditing module comprises an operation order obtaining module, an operation order identification module, an auditing rule base, an auditing processing module and a result feedback module. According to the anti-misoperation identification and automatic auditing system for the intelligent equipment, misoperation identification and content automatic auditing in the operation process of the intelligent equipment are achieved through advanced algorithms and technologies. According to the system, the operation safety and the content auditing efficiency are improved, and powerful technical guarantee is provided for wide application of intelligent equipment.

The invention relates to a power system digital twin model generation method and device, computer equipment, a readable storage medium and a program product. The method comprises the steps of obtaining multi-source heterogeneous data of a transformer substation, preprocessing the multi-source heterogeneous data to obtain preprocessed data, performing fuzzification processing based on the preprocessed data, extracting a fuzzy logic rule, constructing a to-be-trained adversarial network model, and training the to-be-trained adversarial network model based on the fuzzy logic rule. And when it is determined that the model verification conditions are met, training is stopped, and the digital twin model of the power system is obtained. In the modeling process, a model combining fuzzy logic and a generative adversarial network is introduced, and through dynamic rule base management and self-adaptive updating, it is ensured that the system can adapt to the complex operation environment of a power system in real time, so that the accuracy of automatic generation of the substation operation order is greatly improved, and the automation degree of the substation operation order is improved. And meanwhile, the rule compliance and the compatibility of the power system standard are ensured.

The invention discloses an intelligent power operation ticket generation system based on OCR and voice recognition, and relates to the technical field of intelligent generation of power operation tickets, and the system obtains an operation task image, a voice instruction, equipment data and historical records through an OCR terminal, a voice input collector, an equipment monitoring sensor and a rear-end interface; carrying out vectorization and semantic alignment on the multi-source data, and establishing a standardized data structure; establishing a strategy guiding agent model, analyzing the semantic and path reasonability of the operation order, and carrying out intelligent evaluation and decision making; semantic consistency is detected in real time, an equipment connection structure is monitored, and path complexity is calculated; the strategy confidence coefficient is evaluated through multi-chain mapping and consensus analysis; and finally, generating an operation order conforming to the standard and outputting the operation order in an electronic format, thereby ensuring the standardization and traceability of the operation process.

The invention provides an industry vertical data fine tuning method and device based on a large model, and the method comprises the steps: obtaining an operation order text data flow, carrying out the preliminary structural processing of each operation order text, extracting an operation action, an execution object and a constraint condition, and forming text data carrying an initial label; determining an operation process directed acyclic graph and an emergency operation process network according to the fine tuning corpus of the text classification model, and taking the operation process directed acyclic graph and the emergency operation process network as structured training samples for fine tuning of the text classification model; determining a mixed training batch of fine tuning of the text classification model according to the structured training sample of fine tuning of the text classification model, and setting a dynamic balance threshold value of the standard operation sample and the emergency operation sample; and after fine tuning of the text classification model is completed and deployment is carried out, if the operation ticket text to be examined belongs to emergency operation, parallel or conditional branch logic reasoning processing is carried out based on the structure of the emergency operation process network, and a structured examination report is output.

The invention discloses a tightening tool parameter optimization system and method based on deep learning, and relates to the technical field of tool parameter optimizing.Firstly, cleaning, standardization and feature extraction of real-time data are conducted through an edge calculation module, and optimal tightening parameters are predicted through an RNN model; the technological parameter optimization module dynamically adjusts parameters in combination with real-time working conditions, and can quickly adapt to complex environment changes; secondly, the cloud analyzes load balance and operation sequence among multiple tools through a Transform model and optimizes a task allocation strategy, and meanwhile, the IIOT platform realizes optimization parameter sharing among the multiple tools, so that the collaboration efficiency of the production line is remarkably improved; besides, a feedback module collects tightening operation performance and operation parameters and uploads the data to a cloud end, cooperation and historical data between tools are continuously analyzed through a deep learning model, an optimization algorithm is dynamically updated, and the adaptability and continuous improvement capacity of the system to dynamic working conditions are improved.

The invention discloses an intelligent power grid anti-misoperation method and system based on a BiLSTM-CRF model, and relates to the field of intelligent power grid dispatching, and the method comprises the steps: obtaining a structured data set from a power grid dispatching system; based on the structured data set and a BiLSTM-CRF model, constructing a first model; training the first model to obtain a second model; performing named entity identification on the to-be-processed power grid dispatching record by using the second model; extracting related attribute information from the identified named entities, and constructing an attribute dictionary; based on the attribute dictionary, receiving and analyzing an operation order input by the user, and performing operation according to an analysis result; the intelligent level of the power grid dispatching system is improved; the accuracy of named entity recognition is improved; recognition errors are reduced; the requirement of manual intervention is reduced; real-time decision support is provided for dispatchers, and potential misoperation risks are helped to be recognized and avoided; and the safety and the reliability of power grid dispatching operation are improved.

The invention aims to provide the intelligent switching operation ticket forming system and method based on the large model, which are high in efficiency, high in accuracy and low in cost. The system comprises a data access layer (1), a knowledge support layer (2), an intelligent agent execution layer (3), an application layer (4) and a self-learning optimization layer (5). The method comprises the following steps: S1, a data access layer obtains a scheduling instruction and equipment real-time data and transmits the scheduling instruction and the equipment real-time data to an intelligent agent execution layer; s2, an instruction analysis agent (31) analyzes the scheduling instruction to generate structured feature parameters; s3, the statement generation agent (32) generates an operation ticket first draft in combination with the feature parameters, the topological data and the finished ticket knowledge base; s4, performing logic, normative and multi-ticket comparison verification on the first draft by the verification agent (33), and outputting a verification result; and S5, the application layer displays the operation order passing the verification, and feeds back the data to the self-learning optimization layer to update the system. The method is applied to the technical field of power system operation and maintenance intelligentization.

The invention discloses a cooperative generation and closed-loop checking method, system and device for primary and secondary device operation tickets of an electric power system and a storage medium, and the cooperative generation and closed-loop checking method for the primary and secondary device operation tickets comprises the steps: constructing a primary device ticket forming rule tree, and according to a dynamic binding relationship between a primary device rule and a secondary device rule chain, establishing a secondary device ticket forming rule tree; according to the method, intelligent alternate generation of primary and secondary operation steps is realized, and in the invoicing process, consistency checking of primary and secondary equipment state logic is synchronously carried out: through a forward reasoning and reverse tracking mechanism, whether a primary and secondary equipment state mapping relation before and after each step of operation is correct is judged in real time, and an alarm is given for an inconsistent condition. Therefore, self-verification of safety logic is completed while the operation order is generated, a complete closed loop of generation-simulation-check is formed, and the accuracy of the operation order and the safety of field operation are remarkably improved.

The invention relates to the technical field of artificial intelligence. The operation ticket checking method, system and device based on the rule atlas and the medium are provided, and the method comprises the steps that feature extraction is conducted on a topology change event sent by a power grid monitoring system, and an affected device set and connection relation change features are obtained; dynamically associating logic symbols in a preset static rule atlas based on the affected equipment set and the connection relationship change characteristics to generate an executable check atlas; performing topological evolution simulation on the obtained operation order instruction sequence to generate an expected topological state chain; and for each topology state in the expected topology state chain, calling an executable checking graph to perform rule checking, and outputting a checking result set, so as to improve the adaptability of a rule base to dynamic topology, enhance the simulation capability of operation chain time sequence evolution and reduce the hidden risk of a transition state.

The invention discloses a master station type cross-station one-key sequential control method and system based on a centralized control system, and relates to the technical field of power system automation and control, and the method comprises the steps: collecting power grid operation data and equipment state information in real time through various sensors of the centralized control system, carrying out the multi-modal data fusion, and carrying out the multi-modal data fusion through the fused data, the operation process is monitored in real time, and possible errors or abnormal conditions are detected; analyzing the collected data, constructing a prediction model, and intelligently generating an optimal operation strategy and an execution sequence according to a real-time power grid state and an operation history; operation and maintenance personnel start sequential control operation through one key, and the system automatically executes corresponding operation steps according to the operation order. Through the one-key starting function, operation and maintenance personnel can quickly select and execute the pre-generated operation order, and a tedious manual process in traditional operation is avoided. The control instruction automatically generated by the system is analyzed according to the operation order, so that the execution of the operation steps is quicker and more accurate.

The invention relates to the technical field of electrical operation supervision, in particular to a power operation order compliance automatic identification system and method. The power operation ticket compliance automatic identification system comprises a data import module which is used for receiving and analyzing structured operation ticket text data and associating and importing a video file of a corresponding operation execution process; the multi-modal data processing module comprises a voice recognition unit and a video analysis unit; the compliance analysis module is used for comparing and analyzing the output results of the voice recognition unit and the video analysis unit with the operation ticket text data and judging the compliance of the operation process; and the report generation module is used for generating a structured compliance review report. Through cooperative work of the multi-modal data processing module and the compliance analysis module, automatic analysis of an operation order execution process is realized, the problems of missed judgment and misjudgment caused by subjective factors are avoided, and objectivity and fairness of an examination result are ensured.

The invention discloses a two-ticket operation ticket intelligent verification execution system driven by AR glasses, and belongs to the technical field of electric power operation and maintenance. The system comprises an operation order verification module, a risk assessment module, an AR task interaction module, an execution confirmation module and a system central control module. The operation order verification module performs format normalization and step sequence logicality verification on the operation order, and after the verification is passed, the operation steps are decomposed into operation sub-steps to be stored in a step library; the risk assessment module performs risk scoring on each operation sub-step to obtain a risk value of each operation sub-step; the AR task interaction module identifies target equipment through AR glasses and presents operation sub-steps and risk values; the execution confirmation module receives the sub-step interaction completion instruction; and the system central control module realizes module asynchronous communication and pushes the next operation sub-step. The AR technology is combined with intelligent verification, the operation ticket execution process is standardized, the operation risk is prompted in real time, and the standardization, safety and efficiency of electric power operation and maintenance operation are improved.

The invention discloses a graphical invoicing automatic generation and verification system and a real-time optimization method thereof, belongs to the technical field of electric power, and aims to solve the problems that the generation speed of a power grid operation ticket depends on artificial experience and judgment, and the operation is delayed or mistaken possibly. Comprising a data acquisition module used for acquiring data of current power distribution network equipment, establishing a complete power transformation information graphic library and providing basic data for an invoicing function, a graphical representation module used for performing graphical representation on equipment information, and through a graphical operation interface, power dispatching personnel can conveniently check a power grid state and operation steps; through intelligent analysis of historical data and real-time monitoring information of the power grid, the optimization model can automatically evaluate priorities, risks and execution difficulty of various operation tasks, so that the operation order suitable for the current power grid state is dynamically generated, deviation and omission of manual judgment can be effectively avoided, and errors of an operator during task execution are reduced.

The embodiment of the invention discloses a transformer substation switching safety protection system and method based on UWB positioning, a UWB base station is arranged in a transformer substation, UWB tags are arranged on power distribution equipment and a five-prevention key, and after a five-prevention machine determines target power distribution equipment through an operation order, the target power distribution equipment is sent to the UWB base station; the master control center can position the target power distribution equipment and the five-prevention key through a positioning signal broadcasted by the UWB tag so as to determine the real-time position of the target power distribution equipment relative to the five-prevention key, the master control center issues the real-time position to the five-prevention key through the five-prevention machine, navigation information is generated on the five-prevention key through the real-time position, and the navigation information is transmitted to the target power distribution equipment through the five-prevention machine. Operation and maintenance personnel are guided to accurately and quickly walk to target power distribution equipment through navigation information, switching operation is performed through five-prevention key unlocking, safety accidents caused by misoperation due to the fact that the operation and maintenance personnel mistakenly enter a non-target power distribution equipment interval are avoided, the switching safety protection performance and switching operation efficiency of a transformer substation are improved, and the safety and reliability of the transformer substation are improved. And the personal safety of operation and maintenance personnel is ensured.

The invention aims to provide the switching operation ticket multi-dimensional intelligent verification system and verification method with high accuracy and integrity. The system comprises a data acquisition module (1), an objectification processing module (2), a multi-dimensional verification module (3), a result output module (4) and a verification rule iteration module (5). The method comprises the following steps: T1, a data acquisition module obtains an operation order to be verified and associated data; t2, analyzing the operation ticket into triple data by the objectification processing module; t3, a multi-dimensional verification module sequentially executes topological logic verification, normalization verification, cross-ticket comparison verification and real-time state matching; t4, a result output module generates a verification report containing question types, positions and rectification suggestions; and T5, the verification rule iteration module updates the verification rule base based on manual auditing feedback. The method is applied to the technical field of power safety operation and maintenance.

The invention discloses a construction industry warehouse order time consumption prediction method and system based on machine learning. The method comprises the steps of collecting order data and cleaning the order data; constructing a multivariable feature set and carrying out one-hot coding; an XGBoost model is adopted for training, and parameters are optimized through grid search and random search; a prediction interface is deployed to a warehouse management system, the system comprises a data acquisition module, a data preprocessing module, a feature engineering module, a model training module, a prediction interface module and a prediction module, and tests show that the prediction precision Rreaches 0.85, the MAE is 10.6 minutes, the scheduling conflict rate is reduced to 2%, and the operating cost is saved by 75% annually. The problems that a traditional method depends on manpower and is low in precision are solved.

The invention provides a temporary delisting management method and system, electronic equipment and a storage medium, and relates to the technical field of handover and midwifery isolation management, and the method comprises the following steps: obtaining an initiation instruction of temporary delisting, and obtaining a boundary instruction and a boundary state of boundary equipment corresponding to the temporary delisting; performing conflict detection between each boundary state of the boundary device corresponding to the temporary delisting and the boundary state of the corresponding boundary device which is being isolated; and when each boundary state of the boundary device corresponding to the temporary delisting conflicts with the boundary state of the corresponding boundary device which is performing isolation, performing modification configuration on a boundary instruction of the boundary device which is performing isolation to obtain a temporary delisting operation sheet. According to the temporary delisting management method and system, the electronic equipment and the storage medium provided by the invention, while the risk of temporary delisting is ensured to be controllable, the implementation efficiency of initiating temporary delisting and recovering temporary delisting can be improved by utilizing the initiating instruction and the recovering instruction.

The invention discloses a power grid operation order processing method and system based on artificial intelligence. The method comprises the steps of performing key field information extraction on at least one power grid maintenance plan application data uploaded by a user through an RPA intelligent agent to generate an application form information table including at least one piece of application form information; according to key field information of the application form information, classifying the application form information in the application form information table to obtain at least one application form set; according to the operation task corresponding to each application form set and the current state and the target state of the power grid equipment in the target power system, performing execution strategy prediction through a reasoning model, and obtaining the strategy information of the security measure required to be executed by each application form set to generate a power grid operation ticket of the corresponding application form set, power grid equipment in a target power system is indicated to be adjusted to a target state; according to the invention, the power grid operation order is automatically generated, the generation efficiency and accuracy of the operation order are improved, and stable operation of a power system is guaranteed.

The invention relates to a method for controlling an action on an asset, implemented by a computer system, comprising the steps of: Collecting data on the asset evolving over a period P1; Determining a plurality of action strategies to be performed on the asset over period P1; Developing a database associating each strategy with the asset data and at least one result of an evaluation over period P1 of said action strategy relating to the asset; Generating parameters for a machine learning algorithm trained on the previously developed database; Predicting an outcome over a period P2, distinct from P1, for each strategy using the machine learning algorithm; Controlling an action on the asset by automatically selecting the strategy with the best outcome. (See Figure 1 for the abstract.)

The invention discloses an operation ticket checking method and device for a transformer substation, relates to the technical field of electric power, and mainly aims to improve the accuracy of an operation ticket checking result. According to the main technical scheme, the method comprises the steps of obtaining a to-be-verified operation ticket, and analyzing an operation item and a check item in the to-be-verified operation ticket; checking whether the sequence relationship between the operation item and the check item is correct or not according to a preset sequence checking model and a colored Petri net model; if yes, verifying whether each operation item meets an execution condition or not according to a vector knowledge base corresponding to the operation locking logic and the real-time state of equipment involved in each operation item; if each operation item meets the execution condition, aiming at each equipment node in a preset equipment knowledge graph, extracting an operation item set having an association relationship with each equipment node from each operation item, and performing operability verification on the operation item set according to a preset five-prevention management rule; and if the operation item set of each equipment node is operable, determining that the to-be-verified operation ticket passes verification.

The invention provides a live working method, electronic equipment, a storage medium and a program product. The method comprises the following steps: a first terminal obtains risk point information in a working area and sends the risk point information to a second terminal; responding to a job application form and a scheduling command operation order sent by the second terminal, and sending work starting application information to the second terminal after determining that each operation item in the scheduling command operation order is executed; in response to start-up permission information sent by the second terminal, executing the target hot-line work according to the work application form, and sending completion application information to the second terminal after execution is completed; and in response to completion agreement information sent by the second terminal, ending the target hot-line work. The method is used for achieving the effect of improving the hot-line work efficiency and safety.

This invention provides a method and system for checking the pressure plate of a power transmission operation ticket. The method includes: counting the total number of pressure plate operation items and pressure plate inspection items for each cabinet in the power transmission operation ticket; determining the percentage of this total number relative to the actual total number of pressure plates for the corresponding cabinet; if this percentage reaches or exceeds a preset threshold, marking the cabinet as a high-risk suspected omission point; when a cabinet is marked as a high-risk suspected omission point, matching the operation task with a preset custom power outage operation task terminology rule library; if the operation task does not meet the preset representative power outage operation task, it is determined to be a real omission; if the operation task meets the preset representative power outage operation task, the operation ticket is determined to be a power outage operation; after all cabinets have been checked, summarizing the check results for all cabinets and outputting an inspection report. This invention achieves a leap from manual item-by-item verification to automatic, second-level screening by the system, significantly shortening the review time and significantly improving the alarm accuracy.

The invention discloses a remote regulation and control method and system for a relay protection device. The method comprises the following steps: acquiring an operation ticket to be executed; generating an execution request corresponding to each to-be-operated item according to the to-be-operated object, the operation type of the to-be-operated object and the to-be-operated item sequence; and executing the execution request corresponding to the current to-be-operated item according to the execution serial number of each to-be-operated item to obtain an execution result corresponding to the current to-be-operated item, verifying the execution result of the current to-be-operated item through an anti-error verification module, and feeding back a verification result of the current to-be-operated item after verification is completed. If the verification result of the current to-be-operated item does not pass, stopping executing the to-be-executed operation ticket; and when all the to-be-operated items are executed, completing the execution of the to-be-executed operation order. According to the invention, the remote regulation and control efficiency of the relay protection device can be improved.

The application discloses a kind of automatic car driving mode conversion test method, simulation simulation device, it is related to railway shunting operation technical field.The application provides scheme: after locomotive shunting mode registration, for by manual driving mode conversion to automatic shunting driving mode, construct test scene, test scene is according to the task legality of operation order, the path feasibility of shunting route, the operation safety of parking state as constraint condition to construct scene, each test scene is according to corresponding with corresponding expected result corresponding configuration, according to each test scene, test scene corresponding expected result, automatic shunting driving mode conversion is tested.The application uses "receives effective operation order", "there is correct shunting route", "is in parking state" constraint condition design test scene, from "task legality", "path feasibility" and "operation safety" three aspects construct solution that is both simple and covers comprehensive to "mode conversion" test.

The invention relates to the technical field of electric power systems, and discloses an operation order execution authority approval method, system, device, medium and product, the method comprises the following steps: predicting a prediction order corresponding to an operation sequence of an operation order by using a large language model, comparing the prediction order with an actual order, checking whether a target order of the operation order is consistent with the actual order, and if yes, executing the operation order execution authority approval. And then, comparing whether the first topological graph after the operation order rehearsal is consistent with the second topological graph of the target power station updated according to the actual dispatching order, and checking whether the expected result of the dispatching order can be accurately achieved after the operation order is executed, thereby checking the matching between the operation order execution result and the expected result of the dispatching order. Therefore, the matching and the consistency between the operation order and the dispatching order are checked, the robustness and the reliability of operation order checking can be effectively improved, and the safety and the accuracy of power grid operation are ensured.

The invention discloses a transformer substation E-key lock management method and system. The method comprises the steps that an operation order is converted into a structured sequence diagram through operation sequence modeling; dynamic permission activation is realized based on a state machine model; performing five-prevention logic real-time verification in linkage with a substation monitoring system; digital signature and bidirectional authentication are adopted to ensure instruction security; local decision execution is realized through intelligent verification of the lockset; a sequence state is automatically advanced based on an operation progress. The system comprises a management background, an intelligent mobile terminal and an intelligent electronic lock, and a complete closed-loop management system is formed. According to the invention, deep binding of lock operation and substation operation processes is realized, the technical problems of extensive management and disjunction with safety regulations of a traditional lock are solved, and the operation safety, the operation and maintenance efficiency and the system reliability are remarkably improved.

The invention relates to an electric power dispatching auxiliary system and method. The system comprises a login authentication module, a data collection module, an auxiliary dispatching operation ticket to-be-written module, an auxiliary terminal calling module, an operation progress supervision module and a data output module. The system realizes secure access through identity recognition and authentication; acquiring and transmitting a scheduling application form, an operation order and equipment running state data by using a data collection module; the auxiliary writing module determines a writing requirement through similarity calculation and generates a corresponding scheduling operation ticket; the auxiliary terminal calling module calls a related unit according to the operation order and records an unsuccessful contact condition; the operation progress supervision module counts timeout conditions caused by equipment defects or low operation speed and calculates timeout rates in a classified manner; and finally, the data output module uniformly outputs various results. According to the method, the scheduling operation ticket generation efficiency can be improved, a scheduling terminal notification and supervision mechanism is optimized, and the intelligence and safety of power scheduling work are enhanced.

The invention relates to a whole-process anti-misoperation simulation method and system for a dispatching operation order, and belongs to the technical field of dispatching automation of a power system. Comprising the following steps: constructing a power grid equipment digital twinborn model library, and integrating equipment static parameters, real-time state quantity and an anti-error rule set; generating an initial operation order step sequence based on the scheduling instruction and the power grid topology constraint; operation ticket simulation rehearsal is executed step by step in the simulation environment; generating an anti-misoperation verification report according to the simulation result, and prompting to modify or confirm the operation order; in the operation order execution stage, the state of field equipment is collected through the Internet of Things terminal, and a simulation rehearsal result and practical operation data are compared in real time; establishing an operation order full life cycle anti-error file, and associating simulation data with an actual execution record; the defect that a traditional operation ticket system depends on manual checking and cannot dynamically pre-judge linkage risks is overcome, the misoperation accident rate is remarkably reduced, and the operation safety of a power grid is improved.

The invention discloses a power transformation operation ticket intelligent analysis and remote video verification system, belongs to the technical field of power system automation and intelligent monitoring, and aims to solve the problems of low operation ticket analysis efficiency, insufficient remote verification intelligence and disjunction of analysis and verification links in the prior art. Operation information structured extraction is realized through matching of an NLP technology and a rule base; the remote video acquisition module acquires a multi-view operation video; the video intelligent verification module quantifies key indexes such as the operation step matching degree and the protective equipment recognition confidence degree through an algorithm formula based on the analysis result; the control center module stores data and generates a feedback instruction; according to the method, end-to-end automation from operation ticket text analysis to video behavior verification is realized, and the consumed time of traditional manual verification is compressed from an hour level to a second level through support of a three-level response mechanism and a millisecond-level time sequence database.