452 results about "Wiring diagram" patented technology

The invention provides a primitive recognition method and device for a wiring diagram, electronic equipment and a storage medium, and relates to the technical field of image recognition, and the method comprises the steps: constructing a training data set according to the wiring diagram; training the residual network model and the semantic segmentation network model by adopting the training data set to obtain a primitive segmentation network model; detecting a to-be-identified wiring diagram according to the primitive segmentation network model to obtain a primitive mask area; and extracting edge point coordinates according to the primitive mask area to obtain a primitive segmentation result. According to the method, the advanced semantic segmentation network technology is combined, pixel-level fine segmentation is carried out on the primitive area of the line graph, the positioning detection and recognition capability of all types of primitives of the line graph is remarkably improved, and powerful support is provided for subsequent tasks such as primitive relation analysis and connection line optimization.

The invention provides a transformer substation AI aided design method based on LLM and RAG, and the method comprises the steps: carrying out the demand analysis through a large language model LLM, and extracting key information; performing knowledge retrieval by using an RAG technology, wherein the knowledge retrieval comprises transformer substation aided design knowledge base construction, transformer substation aided design knowledge retrieval and knowledge reordering; according to the demand analysis and the knowledge retrieval result, the LLM is utilized to generate a preliminary design scheme of the transformer substation, and the design scheme comprises an electrical main wiring diagram, equipment type selection and layout. By adopting the combination of the LLM, RAG and AI aided design, the comprehensive improvement of the design efficiency, standardization and innovation of the transformer substation can be realized, and the problems of low efficiency, insufficient standardization and lack of innovation in the prior art are solved.

The invention belongs to an aircraft wire harness design technology, and relates to a digital and automatic collaborative design simulation method for aircraft wire harnesses based on Capal and CATIA. According to the method, an existing boundary data model is utilized, electrical parts are installed on CATIA software, and wiring harness arrangement environment conditions are created; creating a three-dimensional wire harness model in the CATIA software; establishing a Capal graphic symbol library and a wire harness part library; creating an aircraft electrical wiring diagram on the Capital software by using the graphic symbol library and the wiring harness part library file; in combination with a CATIA three-dimensional wiring harness model, interactive design is carried out with flight Capital software, and an aircraft two-dimensional topological graph is formed; the sectional area of the wire harness is automatically calculated through CATIA software, and an aircraft simulation three-dimensional wire harness is formed; and combining the aircraft simulation three-dimensional wiring harness with the aircraft topological graph and the aircraft wiring harness two-dimensional graph design to form an aircraft two-dimensional wiring harness chart diagram. According to the invention, database management informatization, three-dimensional wiring harness design digitalization, two-dimensional electrical system principle design and three-dimensional electrical wiring harness model interaction design automation are realized.

The invention provides a power grid wiring diagram automatic analysis system and method based on deep learning. The method comprises the steps of S1, data preprocessing and model training; s2, carrying out equipment identification and association; step S3, topology reasoning and verification are carried out; s4, standardized output: converting the verified power grid network model into a regulation and control cloud platform standard graphic file, and optimizing graphic arrangement through an adaptive layout algorithm; step S5, performing closed-loop optimization; and S6, performing manual intervention and iteration. According to the method, the wiring diagram analysis efficiency and accuracy can be remarkably improved, manual intervention is reduced, standardized graph generation of a power grid regulation and control cloud platform is supported, and a reliable data basis is provided for power system analysis and decision making.

The invention discloses an unstructured file identification method based on primitive identification, and the method comprises the following steps: (1) preprocessing: cutting and zooming an electrical wiring drawing to a required size, and carrying out the gray processing; (2) primitive recognition: constructing a feature extraction network of an electrical primitive detection model by adopting a YOLO electrical primitive detection algorithm fused with an attention mechanism; (3) character recognition, which comprises the following steps: removing primitives, detecting an annotated text area, constructing a text candidate box, segmenting and adjusting an annotated text boundary, recognizing annotated text content, and filtering an electrical text recognition result; and (4) electrical element association relationship analysis, which comprises the following steps: frame element extraction, primitive group region division, template matching and electrical primitive-annotation text association. According to the method, the primitives and characters of the electrical wiring diagram can be obtained, the problem that different fonts and styles appear in marked characters can be solved, and semantic information can be understood.

The invention discloses an intelligent refrigeration control method and system of an intelligent calculation machine room moving ring system, and relates to the technical field of air conditioner refrigeration control, and the method comprises the steps: obtaining a cable wiring diagram in a machine room, and adjusting the intelligent calculation machine room partition in real time according to the electric heating power parameters obtained by combining the equipment load state value and the temperature change rate in the machine room; an air port distribution strategy is set, and an air port is distributed for each partition in the intelligent computer room partitions; an air volume intelligent control algorithm is set, and the angle and the air intensity of each air outlet are controlled according to the equipment load state value and the temperature change rate of each partition in the machine room; according to the invention, the problem of cooling airflow path blockage caused by excessive concentration of cables is solved, and the cooling efficiency is improved.

The invention provides a main wiring automatic mapping method and system for SCD file topological connection, and the method comprises the steps: forming a topological connection code of equipment in a gap by taking the gap as an object through automatic analysis and recognition of primary equipment described by transformer substation configuration in a transformer substation SCD file and a topological connection relation of the primary equipment; building and layout of device primitives in the interval and generation of connecting lines are completed based on topology connection coding, and therefore automatic generation of interval primitives is completed; the layout mode of the main wiring diagram is automatically deduced by analyzing various characteristics such as the voltage class, the bus type and the wiring mode of the transformer substation, and automatic matching of the layout of the main wiring diagram is achieved; by analyzing the position relation between the main transformer and the voltage grade, analyzing the direction of the connecting line and setting a proper connecting line inflection point, the intersection and overlapping of the connecting line are avoided, and the automatic generation of the main transformer and the main transformer interval connecting line is completed.

The invention discloses an automatic intelligent point alignment method for identifying a G file of a master station based on AI, and the method comprises the steps: analyzing a G file of a primary wiring diagram of a transformer substation through an AI server, and building a mapping relation between equipment topology and screen coordinates; host images are monitored in real time through computer vision, and automatic navigation of target intervals is achieved through an intelligent mouse module; remote signaling and telemetering signals are identified through an AI analysis system; and after the test parameters are configured by the management and control platform, an instruction is issued through the simulation terminal, and a monitoring background return value and an AI identification result are automatically compared. According to the method, the problems of low efficiency and high error rate of traditional manual debugging are solved, and full-process coverage, full-loop verification, full-channel comparison and full-information verification can be carried out on three-remote information of the transformer substation.

The invention provides a new energy field grid-connected system broadband oscillation wide-area propagation path tracking method and device, and the method comprises the steps: firstly obtaining an electrical main wiring diagram of a transformer substation, numbering incoming and outgoing lines, and recording the rated voltage and capacity of the incoming and outgoing lines; and monitoring harmonic voltage and current of the high-voltage bus and the low-voltage bus of the transformer substation, carrying out fast Fourier analysis, and judging whether oscillation occurs or not. If oscillation occurs, the concerned oscillation spectrum range and harmonic wave type are determined, and the sampling frequency is determined. Then, a sampling instruction is issued, voltage and current data of all lines are collected, and per-unit processing is carried out; and performing Fourier series analysis on the data to obtain a harmonic spectrogram. And finally, determining an oscillation propagation path in combination with the main wiring diagram, the operation mode and the spectrogram so as to quickly position disturbance sources, quantify responsibilities of multiple disturbance sources and improve system stability.

The invention discloses a machine learning-based transformer substation main wiring diagram intelligent identification method and system, and the method comprises the steps: collecting and preprocessing a transformer substation drawing data set, employing a super-resolution network Real-ESRGAN to improve the image quality, and enhancing the model generalization capability through data amplification; an image recognition model based on YOLOv5x6 is trained, the model is combined with Slim-Neck to improve real-time detection efficiency and accuracy, and a wiring mode, an interval type and a switching device are recognized step by step; meanwhile, a character recognition model based on PaddleOCRv4 is trained, and the performance of the model is improved by adopting a collaborative mutual distillation method CML; and finally, integrating an image recognition model and a character recognition model, realizing a front-end framework and a rear-end framework through algorithm module programming, and deploying the system at a mobile terminal, thereby realizing rapid and accurate transformer substation wiring diagram digitalization, improving the speed and accuracy of transformer substation drawing digitalization, ensuring the operation safety of a power grid, and improving the working efficiency of field technicians.

The invention provides a method for tracing a multi-power-source power supply path in a power system, and the method comprises the steps: obtaining topological data of a power transmission line network diagram, a transformer substation primary wiring diagram, a distribution network looped network diagram and a user low-voltage side wiring diagram in a specified power network, and carrying out the multi-source heterogeneous fusion, so as to construct an integrated transmission, transformation and distribution network topology, corresponding switch state data and mobile power supply equipment operation data are configured in the transmission, transformation and distribution integrated network topology so as to obtain a digital power grid operation model; constructing a node admittance matrix by taking each piece of equipment as a node based on a topological relation between lines in the digital power grid operation model so as to determine lines belonging to a loop, a branch and a cut set in the digital power grid operation model; and determining a multi-power-supply power supply path according to the circuits of the loop, the branches and the cut set in combination with the switch state information and the mobile power supply equipment operation information. According to the invention, the transmission, transformation and distribution integrated network can be comprehensively covered, and the problems of low efficiency, high use cost and the like can be solved.

The invention discloses a multi-modal depth perception and adaptive segmentation full-spectrum primitive intelligent identification method, system and device for a primary main wiring diagram of a plant station, and a medium, and belongs to the technical field of intelligent identification of engineering drawings of power system plant stations, and the method comprises the steps: fusing the dual-source data of a vector diagram and a grating diagram, and constructing a standard primitive library; secondly, primitive detection is realized by adopting a recognition and segmentation collaborative multi-stage network, and the contour precision is improved through model distillation; secondly, iteratively optimizing the recognition capability of the model on the difficult sample by using an active learning mechanism; and finally, finishing primitive classification and result optimization in combination with deep metric learning and electrical topology constraints. According to the invention, through multi-modal data fusion and multi-scale feature adaptive fusion, the recognition capability of a small target and a fine primitive is improved; by means of a double-branch heterogeneous architecture and a structural distillation mechanism, pixel-level high-precision edge segmentation is realized, and the identification problem of dense adhesion primitives is effectively solved.

The invention discloses a primary main wiring diagram on-site configuration method based on microcomputer protection, and relates to the technical field of power system microcomputer protection. Two-stage mapping from a grid position to a primitive identifier and two-stage mapping from the primitive identifier to a rendering handle are maintained in parallel in a nonvolatile memory through a double-page mirroring transaction; reading screen resolution, adaptively calculating blank space and grid scaling according to a residual pixel threshold value, and outputting global coordinates; monitoring virtual switching value change in an operation period, dynamically selecting local or whole-screen refreshing according to a dirty rectangle merging algorithm, and triggering a degradation strategy in combination with a comprehensive load score; the protection device can be safely and rapidly rearranged in a low-resource mode on site, a main wiring diagram is refreshed in real time, and the problems of factory returning upgrading, resolution ratio adaptation and refreshing lagging are solved.

A converter station AC filter group circuit breaker abnormal arcing modeling analysis method comprises the following steps: firstly, carrying out time mark alignment, amplitude calibration and filtering de-noising on wave recording signals such as AC bus voltage and filter branch current to obtain high-quality input data; then, combining a primary wiring diagram, enabling an alternating current system to be equivalent to an ideal power supply and series impedance, enabling circuit breaker arcing to be equivalent to arc resistance changing along with time, and constructing an equivalent circuit model comprising the power supply, the impedance, a capacitor, an electric reactor and dynamic arc resistance; establishing a state space equation according to a voltage and current constraint relation, and performing time domain solution by adopting a two-step two-order or three-order diagonal implicit Runge-Kutta method to obtain voltage and current responses of the whole process of the fault; on this basis, the arc resistance change is inversed according to the ratio of arc voltage to current, the current zero passage is identified through the resistance symbol change at adjacent moments, and the zero passage section is smoothed; and finally, the inversion result is verified again by means of the simplified equivalent model.

The invention belongs to the field of smart power grids and computer vision, and particularly relates to an improved SwinTextSpotter v2-based robust generalization detection and identification method for a power station wiring image text. Comprising the following steps of 1, sending an input image into a text detection and recognition network based on multi-modal learning for training and prediction, extracting a backbone network through shared features to obtain a shared feature map, and further sending the shared feature map into a text detection module to obtain a text detection result and a text feature map; 2, sending the text feature map into a visual feature extraction and prediction module to obtain a feature sequence, and then matching the predicted feature sequence with the standard representation obtained by the character structure feature extraction and prediction module to obtain an identification result; and the like. According to the method, the detection and recognition precision of the model on irregular texts and Chinese character texts is improved robustly, and the generalization performance of detection and recognition on various types of wiring texts and texts is improved.

The invention provides intelligent wiring equipment, and relates to the technical field of power electronics, a camera set is arranged on a workbench of the equipment, a global camera, a tail end camera and a grabbing clamp are arranged on a mechanical arm, a control device controls the grabbing clamp to clamp a wire and place the wire in the middle of the camera set, and images of all the cameras in the camera set are obtained at the same time; identifying a wire identifier on the surface of the wire according to the image of each camera; determining identifications of wiring terminals connected with two ends of the lead according to the wiring diagram; path planning is carried out according to the identifications of the wiring terminals connected with the two ends of the wire and the images shot by the global camera; and controlling the tail end of the mechanical arm to move to the position of the target wiring terminal, and controlling the gripper to insert one end of the wire into the target wiring hole. According to the scheme, the wire can be automatically clamped, the wiring position can be automatically determined, the wire can be automatically moved to the wiring position, the wiring operation can be automatically executed, the manual workload is reduced, and meanwhile the problems of high error rate, low efficiency, poor consistency, high maintenance difficulty and the like caused by manual operation are solved.

The invention relates to an electrical main wiring diagram character recognition and classification method fusing CAD and image data, and the method specifically comprises the steps: converting a collected DWG format electrical main wiring diagram into a high-resolution JPG format drawing, and carrying out the preprocessing of the drawing through a Canny edge detection algorithm; performing text detection by using a target detection algorithm, distinguishing common texts and text labeling boxes in the drawing, and extracting coordinates and category information of all the text labeling boxes; collecting text content in an original DWG format electrical main wiring diagram, insertion point coordinates of the text content and end point coordinate data of a straight line entity, and carrying out standardization processing on all coordinate data and coordinate data of a target detection algorithm; pre-classifying the text annotation boxes of the texts according to the text annotation boxes and the endpoint data of the straight line entities in the corresponding coordinates; and obtaining an equipment text classification result and a complete device text according to a textbox classification result in combination with the endpoint coordinates and the text positions of the corresponding straight line entities.

The invention discloses a broadband harmonic type analysis and propagation path tracking method for a flexible DC power grid system, and the method comprises the following steps: determining the number and positions of DC network harmonic monitoring points according to an electrical main wiring diagram of the flexible DC power grid system, and the harmonic limit values of different types and frequencies in each DC network harmonic monitoring point; determining the sampling frequency and interval of each converter station harmonic monitoring point, and carrying out harmonic online monitoring on the DC side bus current of each converter station of the DC power grid; when a harmonic amplitude exceeding event occurs in the direct-current power grid, determining the type of the exceeding harmonic and the frequency or frequency band of the exceeding harmonic needing to be tracked, and issuing a monitoring instruction to all monitoring points; and according to the amplitude relation of the harmonic waves needing to be tracked by each harmonic wave monitoring point in the same time period, rapid tracking of the harmonic waves in a direct current transmission network propagation path is realized by taking the frequency as the characteristic. According to the invention, rapid tracking of propagation paths of harmonic waves with different frequencies or frequency bands in the flexible DC power grid system is realized.

The invention provides an electrical drawing automatic identification method and system, and relates to the field of electrical drawing identification, and the electrical drawing automatic identification method comprises the following steps: 1, image preprocessing: collecting a multi-source original new energy electrical drawing, converting the multi-source original new energy electrical drawing into a uniform format, eliminating noise, and enhancing features; step 2, identifying and marking symbols; step 3, topological relation modeling; step 4, parameter verification; according to the method, the topological structure diagram of the electrical system is automatically generated by analyzing the connection relation between the elements, manual intervention is not needed, the recognition result and the BOM database of the new energy vehicle are integrated, automatic input and management of element information are achieved, production efficiency can be improved, human errors are reduced, and the method is suitable for popularization and application. The method can be expanded to automatic identification of transformer substation wiring diagrams and industrial robot electrical drawings, and promotes digital transformation of the manufacturing industry.

The invention discloses centralized photovoltaic one-key mapping and automatic identification and adjustment software, and belongs to the technical field of photovoltaics. Comprising a data acquisition module, a one-key mapping module, an automatic identification module, an adjustment optimization module and a user interaction module. The data acquisition module is in communication connection with the photovoltaic monitoring equipment and acquires data of a photovoltaic power station in real time; the one-key mapping module automatically generates a layout diagram of a photovoltaic array according to the data of the photovoltaic power station acquired by the data acquisition module, and automatically draws an electrical wiring diagram of the photovoltaic power station according to an electrical design specification and the data of the photovoltaic power station acquired by the data acquisition module; the automatic identification module analyzes the data of the photovoltaic power station acquired by the data acquisition module in real time, and automatically identifies a fault component in the photovoltaic power station through a preset algorithm and a threshold value; and the adjustment and optimization module provides maintenance suggestions for the fault component according to the result of the automatic identification module, and optimizes and adjusts the operation parameters of the photovoltaic power station at the same time.

A building management system, such as a small or medium business, having one or more control devices. Assigning codes to devices, and reading and listing them may aid in configuring the devices. Templates may be used for dynamic configuration of devices and equipment. Representing terminal assignments and wiring diagrams of control devices may be intuitive in that they resemble real hardware for ease of complete installation. The present system and approach may provide an intuitive way of securely registering devices with cloud usage, for example, involving a mobile phone with no manual entry of data so that a user can complete this process with ease. An intuitive, automatic and asynchronous device configuration downloading may be seen, such as to multiple control devices in a single shot. There may be seamless configuration data synchronization, for example, in view of replacement devices, or so the latest data is readily available.

A sequential control simulation method and system of a centralized control station simulation system comprises the following steps: establishing a primary wiring diagram and an interval diagram through the simulation system, and collecting data information; establishing an equipment switch disconnecting link association table; associating equipment of the simulation system with a switch and a disconnecting link associated with the equipment, and establishing an index; decomposing the operation state of the equipment according to the association of the equipment, the switch and the disconnecting link to obtain the operation state of the switch; based on a switch operation state, establishing an indexed equipment switch disconnecting link association table, and modeling a scheduling instruction ticket; on the basis of the obtained scheduling instruction ticket model, the simulation system automatically generates an operation instruction ticket according to the initial state and the target state according to the equipment state recorded by the equipment switch disconnecting link association table with the established index; analyzing the operation instruction ticket according to a time sequence to form an event set, and inserting a to-be-executed event list of the simulation system; and the simulation system carries out analysis according to the time sequence and feeds back corresponding states including operation success or operation failure, and one-key sequential control is completed.

The invention relates to the technical field of smart home, and discloses a smart device auxiliary installation method and auxiliary installation system based on the AR technology, and the method comprises the steps that a terminal module obtains a device list and an installation task of a to-be-installed house from a cloud module; the terminal module constructs a 3D space model of a to-be-installed house through an SLAM algorithm, marks recommended installation positions of a plurality of devices in a device list, and superposes the recommended installation positions to a real-time image picture of the terminal module through an AR technology; and the terminal module generates a virtual wiring diagram of target equipment for the target equipment needing wiring in the multiple pieces of equipment, and the virtual wiring diagram is superposed to a real-time image picture of the terminal module through an AR (Augmented Reality) technology. According to the method provided by the embodiment of the invention, the 3D model of the to-be-installed house is automatically constructed through the SLAM algorithm, and the AR technology is adopted to provide guidance of the recommended installation position and the virtual wiring diagram, so that installation personnel can carry out visual reference, repeated measurement and trial and error are avoided, and the installation efficiency of the intelligent equipment is improved.

The invention relates to the technical field of image recognition, and discloses an automatic checking method, device and equipment for a power grid plant station wiring diagram and a storage medium, and the method comprises the steps: carrying out the image segmentation of a pre-obtained power grid plant station wiring diagram based on an edge detection algorithm, and obtaining a plurality of segmentation parts corresponding to the power grid plant station wiring diagram; a character recognition checking technology, a primitive feature matching checking technology and a topological connection relation checking technology are adopted to carry out recognition result checking on the multiple segmented parts, and abnormal recognition parts are obtained; and correcting the abnormal identification part to obtain an automatic identification result corresponding to the power grid plant station wiring diagram. Compared with a single checking technology, the overall recognition accuracy of the power grid plant station wiring diagram can be remarkably improved, recognition errors caused by manual or simple technologies are reduced, and full-process automation from picture segmentation, recognition result checking to abnormal part correction is achieved.

The invention relates to the technical field of graph generation, in particular to a self-adaptive topological plant station wiring diagram generation method, which comprises the following steps of: acquiring a wiring diagram image, extracting edge features, identifying an image type, positioning a line structure boundary, identifying text elements, classifying corresponding graph areas, and constructing a connection path to generate a topological wiring diagram. According to the method, clear recognition of the structure contour is realized through extraction of the edge features of the line structure of the image, the spatial position information of the graphic area is acquired in combination with a multi-scale primitive positioning technology, and then identity extraction and classification judgment are performed on the text elements contained in the image in a character recognition mode. And establishing a corresponding relationship between the equipment identifier and the graph region, constructing a complete path by combining the graph arrangement direction and the starting and ending coordinates of the connecting line, and determining a connection sequence and a relative position relationship between the equipment. Coordination and unification of spatial arrangement are realized through application of an attraction and repulsive force model between nodes, and clearness and coherence of a wiring diagram in the aspect of topological structure expression are improved.

The invention discloses a wiring diagram recognition method and device based on deep learning and electronic equipment, and the method comprises the steps: carrying out the correction and mask processing of an initial wiring diagram, obtaining a first wiring diagram, and fusing mask parameters and mask skeleton parameters; extracting circuit elements in the first wiring diagram based on fusion mask parameters and mask skeleton parameters, and classifying the circuit elements to obtain a first element set of the first wiring diagram; performing port connection line pairing processing and topological optimization processing on the first element set, and determining a second element set and a corresponding second wiring diagram; according to the second element set, performing multi-dimensional verification and global topological structuring processing on the second wiring diagram to obtain a topological graph data model; and determining a JSON file, a visual topological graph, a VF2 check report and a Neo4j graph database of the wiring diagram according to the structured data in the topological graph data model. According to the invention, a more accurate wiring diagram can be identified.

The invention relates to the technical field of floor heating winding displacement, in particular to an assembly type floor heating winding displacement diagram automatic generation algorithm based on LORA large language model fine tuning, and the assembly type floor heating winding displacement diagram automatic generation algorithm comprises the steps: 1, inputting a building base map, and appointing a floor heating module laying area; 2, inputting floor heating parameters in an appointed floor heating module laying area of the building base map; 3, determining a plane bounding box range according to the laying area; 4, determining the maximum point, the minimum point and the span of the bounding box; 5, creating grids in a blocking manner; and 6, determining coordinates of four corners of each unit of the grid, and generating floor heating module unit occupation coordinates. According to the assembly type floor heating wiring diagram automatic generation algorithm based on LORA large language model fine tuning, the problems that floor heating construction drawings are time-consuming and high in error rate are solved, the efficiency and accuracy of floor heating system design are greatly improved, the labor cost and the error rate are reduced, and revolutionary changes are brought to design and construction of the assembly type floor heating system.

The invention provides a wiring diagram identification method based on a neural network and computer vision processing, and relates to the technical field of graph model identification, and the method comprises the following steps: inputting a power grid plant station wiring diagram, the wiring diagram format specifically comprising BMP, JPG and PNG; uniformly scaling the wiring diagram to a uniform pixel resolution, processing the power grid plant station wiring diagram, scaling, denoising, detecting circuit breakers and other primitives, correcting the direction, identifying characters, complementing to generate a structured record, reconstructing a wiring topology, associating the primitives, the characters and the topology through multi-modal matching, and finally obtaining the power grid plant station wiring diagram. And finally, a CIM file conforming to IEC61970 is mapped, automatic extraction and standardized conversion of wiring diagram information are achieved, the rotating frame detection and direction restoration technology is adopted, primitives rotating at any angle are accurately recognized, the direction of the primitives is unified, the problem of angle loss of traditional horizontal frame detection is effectively solved, and the detection efficiency is improved. The omission ratio and the repetition rate of dense or multi-scale primitives are reduced, and the robustness of primitive detection is improved.

The invention discloses a non-intrusive power grid wiring diagram switch state identification method and system based on deep learning, a processor and a medium. According to the method, electrical data and switching state data of a power grid are collected and marked, a '1D-CNN + BiLSTM + Transform 'hybrid network model is constructed after preprocessing and feature extraction, and the switching state of the whole network is recognized after training. Power grid equipment does not need to be transformed, an existing mutual inductor is used for collecting data, local mutation, time sequence dependence and global association of electrical data are effectively processed through multi-dimensional feature extraction and a hybrid network model, the accuracy and robustness of on-off state recognition are improved, and the method can be applied to power grid on-off state monitoring in real time. And reliable support is provided for intelligent power grid operation.

The invention provides a transformer substation secondary circuit verification method and device, and mainly relates to the technical field of relay protection and control. Specifically, the transformer substation secondary circuit verification method comprises the following steps: identifying a secondary circuit topological structure of a transformer substation based on a secondary circuit wiring diagram of the transformer substation; based on the secondary circuit topological structure, generating a terminal connection relation configuration table which comprises a starting end terminal list; performing loop verification based on the initial terminal list to obtain a feedback terminal configuration table; and performing matching verification on the terminal connection relation configuration table and the feedback terminal configuration table to obtain a secondary circuit verification result of the transformer substation.