19 results about "Operations order" patented technology

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 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 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 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.

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 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 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 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.

The invention discloses a local anti-misoperation system and method applied to switching of a transformer substation, the system comprises an AI glasses end and an edge calculation box end which are in communication connection with each other, and the AI glasses end comprises a data acquisition module and a man-machine interaction module; the edge calculation box end comprises a knowledge graph module which is used for storing and loading a time sequence knowledge graph of an operation order; the visual identification module is used for receiving the equipment image and identifying field equipment information; and the inference engine module is used for receiving the equipment information and the eyeball movement data, performing inference based on the time sequence knowledge graph so as to verify the compliance triggered by the current operation and the next operation, and outputting corresponding operation prompt or alarm information based on a verification result. According to the invention, localized, real-time and intelligent safety management and control of the switching operation of the transformer substation are realized through the steps of determining the knowledge graph, collecting data, identifying equipment, reasoning and checking, outputting information and the like.

The invention discloses a power transformation switching operation intelligent ticket forming method based on reinforcement learning, and relates to the technical field of power system substation automation control, and the method comprises the following steps: S1, constructing a reinforcement learning agent, and generating a preliminary operation sequence based on historical operation data; s2, establishing a real-time state sensing interface, and obtaining power grid real-time topology, equipment state and grounding wire state data; according to the power transformation switching operation intelligent ticket forming method based on reinforcement learning, the technical scheme of combining a reinforcement learning agent and a dual real-time verification mechanism is introduced, so that the intelligence level and safety of power transformation switching operation ticket generation are effectively improved. The real-time state of the power grid can be dynamically sensed, the generated operation order is ensured to conform to the safety rule of the power grid and be strictly matched with the actual state of field equipment through logic consistency and operability dual verification, and the risk of misoperation caused by manual negligence or information lag is fundamentally reduced.

The invention relates to a typical operation ticket intelligent revision method. The method comprises the following steps: obtaining equipment information in a transformer substation and power grid topological structure data; calculating the similarity theta between the operation task and a typical operation ticket stored in a typical operation ticket database, sorting, taking the maximum value theta max for judgment, if the theta max is greater than or equal to 0.6 and less than 0.9, judging that part of the operation task is similar, and entering the step (4); and if the theta max is greater than or equal to 0.9, judging that all the theta max are consistent, and entering the step (5). According to the method, equipment information in a transformer substation and power grid topological structure data are acquired, equipment involved in an operation task is taken out according to a preset operation rule, matching with a typical operation ticket database is carried out based on related information of the operation task, a typical work ticket is extracted, and revision adjustment is carried out according to similarity; the problem of manually selecting typical work tickets similar to the actual work tickets on site is solved, the intelligent level of finished tickets is improved, the finished tickets can be conveniently and quickly issued, the workload of repairing and changing the tickets is reduced, and the ticket issuing efficiency is improved.

The invention belongs to the technical field of electric digital data processing, and particularly discloses a substation regional collaborative anti-error method and system based on multi-source information, and the method comprises the steps: obtaining process data and state information from an operation order system and a real-time equipment sensor, aligning timestamps of the process data and the state information through a time synchronization algorithm to obtain fusion data under a unified time reference; according to the forced constraint and mutual exclusion constraint relationship between the fusion data extraction devices, determining the constraint type and dependency sequence of the forced constraint and mutual exclusion constraint relationship by adopting an association rule mining algorithm, and obtaining an initial structure of a link network; for a precondition in the initial structure, if it is judged that the state collection frequency is higher than a preset threshold value, a timestamp missing part is filled with an interpolation method; the invention aims to solve the problems of asynchronous equipment state and flow data time, complex constraint relation and delayed real-time interaction response in an industrial scene.

The application discloses a production line scheduling method based on data and model hybrid driving, first, according to the resource position and layout, the number and type of operation orders, random noise disturbance and other elements in the flexible production line, a flexible production line scheduling model under random disturbance is constructed; then, according to the data and model hybrid driving framework, the scheduling model is solved; in the data and model hybrid driving framework, the data driving refers to the multi-agent reinforcement learning algorithm based on value decomposition, the model driving refers to the heuristic dispatching rule and experience knowledge, and the hybrid driving of the two mainly embodies three aspects: one is that the scheduling rule is used for guiding the agent strategy selection, two is that the reward function is designed based on the scheduling scene knowledge, and three is that the historical experience and data are supervised to train the noise detection and denoising module; finally, in the disturbance environment, the production line scheduling is carried out by adopting the data and model hybrid driving method, and the application is used for solving the flexible production scheduling under random disturbance.

The invention relates to the technical field of power system safety and stability control, in particular to a remote safety regulation and control method and system for a low-frequency and low-voltage load shedding device, electronic equipment and a medium. The method comprises the following steps: firstly, acquiring running state data of the low-frequency and low-voltage load shedding device and real-time running data of a power grid; based on the running state data and the real-time running data of the power grid, generating a standardized operation ticket of the low-frequency and low-voltage load shedding device through the cloud platform; the standardized operation order is transmitted to side equipment through a safety pipeline; and performing instruction verification on the received standardized operation order through the side equipment, and after the instruction verification is passed, executing local logic locking verification based on the real-time operation data of the power grid so as to generate a security permission allowing instruction issuing. By means of the mode, the problem that it is difficult to achieve efficient and reliable management of remote modification of the low-frequency and low-voltage load shedding device under the condition that safety is guaranteed in the prior art is solved, and the intelligent level and operation and maintenance efficiency of power grid safety control are improved.

The invention provides a switching operation ticket generation method based on an electric power large model and electronic equipment, and the method comprises the steps: receiving a dispatching instruction, carrying out the semantic analysis of the dispatching instruction through a large model pre-trained by an electric power corpus, and extracting a structured operation element; retrieving real-time state information of related equipment from an equipment knowledge base; retrieving matched sample ticket data from a sample ticket knowledge base; and inputting the operation elements, the real-time state information and the sample ticket data into the large model to generate a switching operation ticket. According to the scheme, the scheduling instruction is subjected to semantic analysis by adopting the large model pre-trained by the power corpus, and the equipment topological relation data generated by automatic analysis of the model from the electrical wiring diagram and the equipment state information obtained by real-time linkage with the anti-error system are combined; according to the method, deep fusion of the scheduling instruction and the topology and real-time state of the field equipment is realized, and the logic consistency and the safety compliance in the operation ticket generation process are effectively improved.

The invention relates to the technical field of distribution network dispatching anti-misoperation, and discloses a distribution network dispatching full-process anti-misoperation analysis method based on an intelligent anti-misoperation model, which comprises the following steps: constructing a universal intelligent analysis type anti-misoperation model; based on the general intelligent analysis type anti-misoperation model and an intelligent anti-misoperation reasoning algorithm, combining a real-time risk assessment algorithm to quantify the influence degree of operation on the power grid; calling the anti-misoperation model and the intelligent anti-misoperation reasoning algorithm to carry out verification based on a power grid operation mode required by the operation order; a dual mechanism of manual text auditing and power grid state simulation checking is adopted; and updating model parameters based on real-time data of the current power grid, and re-executing the intelligent anti-error reasoning algorithm and the real-time risk assessment algorithm. According to the invention, a full-process and dynamic self-adaptive anti-error closed loop is formed, and the defect of single-point prevention and control in the prior art is overcome.

The invention discloses a power grid operation ticket generation system based on multi-agent cooperative work, and the system comprises a rule knowledge graph which stores a power grid operation ticket rule and a relation thereof; the graph neural network is used for matching rules in the rule knowledge graph; each agent is responsible for different subtasks, information is shared through reinforcement learning collaborative decision and an attention mechanism, and finally an operation ticket is generated; and the distributed workflow receives the operation order generated by the intelligent agent, converts the operation order into a modular workflow, stores the modular workflow in a code block or Prompt form and supports dynamic updating, and each module corresponds to a specific operation step or task. The system efficiently generates the power grid operation order by means of multi-agent cooperation and in combination with the knowledge graph and the graph neural network, the accuracy and intelligent degree of operation order generation are improved, the distributed workflow is convenient for dynamic management and updating, the system can better adapt to complex and changeable operation requirements of a power grid, and safe and stable operation of the power grid is guaranteed.