297 results about "Wiring diagram" patented technology

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 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 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 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.

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.

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 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 relates to an automatic mapping method and system of a standard graph applied to power grid equipment homologous maintenance, and relates to the technical field of power grid mapping, and the method comprises the steps: extracting equipment ledger data, geographic coordinate data and topological connection relation data based on a preset power grid management system, and constructing a power grid equipment knowledge graph; layering the power grid equipment based on the voltage levels in the knowledge graph, and performing initial layout optimization on each layer of equipment by adopting a reinforcement learning model to generate a layered layout result; dynamically calculating the contact positions of the T-shaped wiring and the n-shaped wiring to generate contact coordinates; and generating a power grid logic view and a geographical wiring diagram based on superposition of the contact coordinates and the hierarchical layout result. By automatically generating the power grid logic view and the geographical wiring diagram, the dependency on manpower is greatly reduced, errors caused by personnel in drawing are reduced, and the drawing efficiency is remarkably improved.

The invention discloses an electric energy meter assembling standard intelligent identification system, which comprises an image acquisition module, an image preprocessing module, a wiring identification module and a standard comparison module, and is characterized in that the wiring identification module carries out NLM denoising and Gamma correction enhancement processing on a to-be-identified image, dynamically calculates a threshold value by using an Otsus method, accurately detects the position of a sleeve in an electric meter image, and carries out standard comparison on the to-be-identified image; and acquiring the coordinate of each casing, and identifying the casing fields by using PaddleOCR (Passive Optical Character Recognition). According to the method, through specific tests, wiring diagram shooting, threshold value dynamic calculation through an Otsus method, contrast enhancement through Gamma correction, NLM denoising, text detection, character recognition, geometric correction and other modes, OCR recognition is carried out on the image, algorithm and formula optimization of different degrees is carried out in the recognition process, the detection precision and efficiency are remarkably improved, and the method is suitable for popularization and application. And an effective solution is provided for automatic detection of the electric meter.

The invention provides an electric energy metering equipment wiring image-text recognition method and a related device, and the method comprises the steps: determining first image feature information based on image information and feature fusion operation, and determining first text feature information based on text information and depth context coding operation; determining a plurality of loss values under multiple levels based on the first image feature information and the first text feature information, and fusing features; determining a plurality of predicted loss values based on the fused features; and determining an optimized electric energy metering equipment wiring image-text recognition model based on the plurality of predicted loss values and the plurality of loss values under multiple levels, and determining an image-text recognition result based on the optimized electric energy metering equipment wiring image-text recognition model. Therefore, the semantic alignment precision of the image-text features is improved, the adaptability of the model to complex scenes is enhanced, the detection efficiency and accuracy are improved, the automation level of wiring specification detection of the electric energy metering equipment is further improved, and the operation safety and stability of an electric power system are improved.

The invention relates to the technical field of wiring diagram recognition, and discloses an intelligent recognition method, device and equipment for a power grid plant station wiring diagram and a storage medium, and the method comprises the steps: obtaining a to-be-recognized power grid plant station wiring diagram; performing image preprocessing on the power grid plant station wiring diagram; performing image recognition on the preprocessed power grid plant station wiring diagram by using an edge detection algorithm to obtain an equipment key part and a connecting line key part; comparing the key part of the equipment with a pre-stored standard equipment image, and matching a corresponding equipment label for the key part of the equipment; and according to the connection relationship between the equipment key part and the connection line key part, obtaining a connection result of each matched equipment label and other equipment labels through the connection line key part. The method can achieve the intelligent recognition of the wiring diagram of the power grid plant station, avoids the time-consuming and labor-consuming manual recognition, and is liable to cause errors or omission, and improves the recognition precision and efficiency.

The invention discloses an inter-harmonic source positioning and propagation path tracking method for a multi-terminal flexible direct-current system. The method comprises the following steps: acquiring an electrical main wiring diagram of the multi-terminal flexible direct-current system, alternating-current side frequency of each converter station, rated capacity and voltage; when inter-harmonics are monitored to exceed the standard in the multi-terminal flexible direct current system, acquiring frequency and amplitude data of inter-harmonic components at the ports of the alternating current side and the direct current side of each converter station; determining a direct current side inter-harmonic frequency needing to be tracked by the multi-terminal flexible direct current system, determining an inter-harmonic frequency and amplitude corresponding to an alternating current side of each converter station, and determining a source station generating inter-harmonics in the multi-terminal flexible direct current system; obtaining current intermediate harmonic amplitude data of each direct current line of the multi-terminal flexible direct current system, and realizing propagation path tracking according to the amplitude of direct current side inter-harmonics needing to be tracked in each line. According to the method, inter-harmonic source positioning of the multi-terminal flexible direct current system is realized, and path tracking of inter-harmonics of the multi-terminal flexible direct current system in a direct current transmission network is realized.

The invention belongs to the technical field of automatic graph generation, and discloses a centralized control station interval sub-graph generation method and device based on a point table, equipment and a storage medium. The method comprises the following steps: dividing four remote signals in a centralized control station table into different intervals according to interval names, and obtaining interval categories, interval attributes, the number and serial numbers of equipment, related remote signaling signals and remote measuring signals of any interval from the divided centralized control station table; labeling the equipment name of the interval primary wiring diagram template determined according to the interval category by using the replacement character, and updating the replacement character into the field actual number through the equipment number and the number to obtain an interval primary wiring diagram; according to the method, the interval sub-graph is generated based on the interval attribute, the interval primary wiring graph, the telemetry signal and the related telecommand signal in combination with the sub-graph primitives in the interval sub-graph primitive library, the needed interval equipment data can be automatically analyzed and obtained after the centralized control station table is imported, the interval sub-graph is directly generated, and the generation efficiency is improved.

The invention relates to a wiring relation identification method for an electrical main wiring diagram fusing CAD data and an image, and the method specifically comprises the steps: converting a collected DWG format electrical main wiring diagram into a high-resolution JPG format drawing, and cutting the contour of the drawing through employing a Canny edge detection algorithm, identifying relative coordinates and categories of the electrical equipment primitives in the drawing by using a target detection algorithm; traversing an entity space of an original DWG drawing, analyzing data of all straight line entities and multi-broken line entities, screening a bus and a loop starting point in the entity space data, and converting end point coordinate data into normalized coordinates in the same format as a target detection algorithm according to a drawing range; obtaining wiring data according to the detection frame of the equipment primitive and the coordinate of the line segment entity; pre-defining a connection relationship and obtaining a connection list according to the wiring and the primitive position; and traversing the connection list by using a breadth-first search algorithm, and then matching the starting point of the loop to obtain a connected primitive list of the loop.

The invention discloses an intelligent substation SCD automatic generation method, system and device and a storage medium. The method comprises the following steps: constructing a primary main wiring diagram, wherein the primary main wiring diagram comprises a topological relation in the intelligent substation; associating intelligent electronic equipment IED in a substation configuration description SCD file to a corresponding interval in the main wiring diagram; generating an IED configuration parameter based on the topological relation and the IED; and associating the ICD file of the IED to the SCD file, importing a loop configuration subscription relation table and a total station primary equipment interval classification, number and initial address table, and automatically generating a subnet, communication parameter configuration, port configuration and virtual loop configuration in combination with the IED configuration parameters so as to complete the configuration of the SCD file. According to the method, the SCD file meeting the specification can be automatically configured.