15 results about "Digital substation" patented technology

The invention belongs to the technical field of digital substations of electric power systems, and particularly relates to an automatic acquisition and checking method for an SCCD model in a grid-connected implementation process, which comprises the following steps of: constructing an integrated technical system of multi-source acquisition, difference comparison, format conversion and automatic filing; the stock device analyzes SSH / SNMP / API protocol data by configuring a translation conversion tool; checking the acquired data and the SCCD model constant value by adopting a constant value comparison and intention comparison two-dimensional mechanism; converting the non-standard data into an IEC61850 XML format through a configurable mapping grammar; and generating and filing an SCCD-plus model file after the check is passed, thereby providing support for grid-connected auditing, operation and maintenance of the transformer substation.

The invention discloses a wiring diagram knowledge graph construction method and system based on hierarchical semantic analysis. The method comprises the steps of data collection and preprocessing to construct a special data set and a standard library; constructing a top-down four-level analysis framework for designing a wiring mode, an interval type, switch equipment and an equipment number, and extracting a topological relation by adopting a depth-first strategy; a YOLOv8 model is improved in a differentiated mode, a GhostNet module and a Swin Transform module are integrated, and the light weight and the recognition precision are considered; a PP-OCRv4 model is embedded and optimized, and an equipment number is accurately extracted; constructing a knowledge graph containing longitudinal hierarchy and transverse connection based on a semantic rule, and combining with post-processing optimization; and integrating model deployment to generate an executable program. The system comprises a data processing module, a hierarchical semantic analysis module, a model optimization module, a knowledge graph construction module and a system deployment module. The method solves the problems of error accumulation and relation splitting of a traditional method, improves the recognition precision and efficiency, and provides support for transformer substation digitization.

This disclosure relates to a system and method for classifying faults associated with a digital substation. The method includes receiving, at each fault occurrence, a disturbance record associated with each of a plurality of faults from one or more IEDs (102) associated with the digital substation (101). Furthermore, the method includes extracting one or more features associated with the fault variables by analyzing fault variables using predefined feature extraction techniques. The method further includes determining one or more entropies for each of the one or more features. Subsequently, the method includes classifying each fault into one or more fault types by analyzing the one or more entropies and the one or more features using a machine learning model (235). This invention provides accurate fault diagnosis for maintaining operational efficiency and minimizing outages in digital substations.

The present invention relates to a fault detection device and a detection method for a digital substation. The fault detection device for a digital substation may include a collection unit that collects data of a plurality of transmission lines and a plurality of busbars, a judgment unit that determines whether there is a fault and whether there is a failure to cut off the transmission lines and busbars based on the collected data, and determines a fault section and a cause of the fault based on the judgment result, and an output unit that outputs a recovery method corresponding to the fault section and the cause of the fault. The judgment unit may determine whether there is a fault and whether there is a failure to cut off the fault using logic operations.

The invention discloses a multi-dimensional quantitative evaluation model construction method for practical efficiency of a digital substation, belongs to the technical field of intelligent power grids, and aims to solve the problems of single evaluation dimension, lack of quantitative measurement standards, lack of dynamic efficiency evaluation and disjunction of technology and business effects in the prior art, and the method comprises the following steps: S1, determining the evaluation dimension; s2, constructing an index system; s3, data acquisition and preprocessing; according to the method, four core dimensions of operation reliability, operation and maintenance economy, business collaboration and technical advancement are creatively determined, and a multi-level and three-dimensional evaluation framework is constructed, so that traditional technical indexes such as equipment state and system stability are covered; and economic and management dimensions such as operation and maintenance cost, asset utilization rate, management decision efficiency and the like are incorporated into a system, so that comprehensive portraits of safe, efficient, economic and intelligent comprehensive efficiency of the digital substation are realized, and an unprecedented global perspective and an accurate resource optimization configuration basis are provided for managers.

The application discloses a condensation monitoring method for a digitalized transformer substation, comprising the following steps: obtaining data information of a target digitalized transformer substation; determining a high-risk area of condensation occurrence and arranging a monitoring device to obtain monitoring data; selecting a monitoring frequency band, obtaining data of the monitoring frequency band and analyzing, and constructing a feature set related to a condensation degree; obtaining monitoring data of the target digitalized transformer substation in real time and selecting an electromagnetic wave monitoring frequency band; performing feature extraction and analysis to construct a condensation monitoring model and optimization; generating a condensation risk prediction result of the target digitalized transformer substation based on the optimized condensation monitoring model; giving optimal anti-condensation measures to the target digitalized transformer substation according to the prediction result, and completing condensation monitoring of the target digitalized transformer substation. Through obtaining, processing of environmental parameters of the digitalized transformer substation and establishment of a condensation prediction model, the condensation monitoring method not only realizes condensation monitoring of the digitalized transformer substation, but also has higher reliability and better accuracy.

The application is suitable for the field of digital substation technology, and provides a substation secondary circuit three-dimensional drawing generation method and system for intelligent operation and inspection. The method comprises the following steps: obtaining a two-dimensional drawing, an SCD system configuration file and point cloud data of a substation secondary system; constructing a three-dimensional structure model of the secondary circuit based on the two-dimensional drawing and the point cloud data, and establishing a mapping relationship between the SCD system configuration file and physical devices; and generating a three-dimensional visual drawing of the secondary circuit according to the three-dimensional structure model. The application can fuse the two-dimensional drawing geometric parameters and the point cloud data to construct a high-precision three-dimensional visual drawing, and can stereoscopically present the screen cabinet structure, device panel and cable path, so that the operation and maintenance personnel can directly "see through" the screen cabinet, check the device layout, terminal row arrangement mode and cable laying path, and facilitate the operation and maintenance personnel to operate and maintain the secondary circuit.

The present disclosure relates to systems and methods for detecting the real-time intrusion in the digital substation. The present disclosure may include a system for real-time intrusion detection that comprising: a processor, wherein the processor is configured to: receive one or more message packets from at least one network switch associated with at least one electrical node of the digital substation. Further, the processor is configured to implement an integrative intrusion analysis on the one or more message packets. Further, the intrusion may be determined in real-time based on the integrative intrusion analysis of the one or more message packets. The system may detect the real-time intrusion while managing the time-sensitive flow of the message packets in the digital substation, in accordance with the present disclosure.

The invention relates to the technical field of transformer substation maintenance, in particular to a maintenance device for a digital transformer substation, which comprises a shell and a machine body, the machine body is arranged above the shell, the bottom of the shell is rotatably connected with a plurality of rotating balls arranged in an annular array, each rotating ball is fixedly connected with a hollow cylinder, and the hollow cylinders are arranged in the shell. A driving assembly is arranged on the shell; a supporting rod is slidably connected to the interior of each hollow cylinder, an anti-skid arc-shaped block is fixedly connected to the end, penetrating through the corresponding hollow cylinder, of each supporting rod, a mounting assembly is arranged on each supporting rod, and each mounting assembly comprises a round rod rotationally mounted on the corresponding supporting rod. Handheld operation is replaced by the expandable supporting mechanism, hand fatigue caused by long-time detection is avoided, gas pressure control of the sealing cavity and position locking of the electromagnet are combined, it is ensured that the angle between the supporting mechanism and the machine body is stable, and the influence of shaking on the detection precision is prevented.

The present invention relates to a method and system for supervising and monitoring the communication buses of a digital substation. In addition, the present invention relates to a piece of equipment for monitoring the communication bus of a digital substation and a method for training a neural network to monitor and diagnose the communication bus of a digital substation, as well as to computer-readable memories containing a set of instructions which, when executed, implement the method for supervising and monitoring the communication buses of a digital substation.

The invention relates to the technical field of power transmission equipment, in particular to a digital substation suspension insulator cleaning device which comprises a handheld rod, a fixing block is arranged at the top of the handheld rod, a first semi-arc seat is mounted on the front side of the rear end of the fixing block, and a second semi-arc seat is rotationally arranged on the rear side of the rear end of the fixing block. According to the insulator cleaning device, the rotating piece is arranged to drive the second semi-arc base to rotate along the first semi-arc base in an opening mode, then all-directional cleaning is conducted along the surface of the insulator through the brushes in the first semi-arc base and the second semi-arc base, and compared with the prior art, the cleaning effect is comprehensive, and the cleaning efficiency is high. The semi-arc seat I and the semi-arc seat II can be cleaned only by slowly moving the semi-arc seat I and the semi-arc seat II along the insulator without winding the semi-arc seat I and the semi-arc seat II along the edge of the insulator, and the brush can be provided with long bristles and short bristles, so that the semi-arc seat I and the semi-arc seat II can be cleaned at the arc-shaped edge of the insulator in an attached manner, and the surface cleaning effect of the insulator is improved.

The utility model relates to the technical field of digital substations, and discloses a digital substation power distribution device which comprises a power distribution device body and a bearing platform, universal wheels are installed on the surface of the bottom end in the bearing platform, an adjusting device is installed at the upper end of the bearing platform, and the bearing platform is installed at the lower end of the power distribution device body. According to the digital substation power distribution device, the universal wheels, the bearing table and the blocking assembly are arranged, the design aims at achieving the operation blocking function of the device, meanwhile, the universal wheels are directly installed at the lower end of the bearing table, and meanwhile the situation that the surface of the bottom end of the bearing table collides with the ground during transportation of the bearing table can be avoided; the situation that the device cannot be transported is effectively prevented, the transportation convenience of the bearing table is improved, an electric push rod drives a stopping block to move up and down through a connecting piece, the device can conduct stopping operation according to the actual situation, and then the service life of the device is effectively prolonged.

The invention belongs to the field of digital substation data analysis, and particularly relates to a digital substation WEB user active data analysis method and system. The method comprises the following steps: after a user logs in, analyzing user login information, writing online user data of the user and a corresponding active mark into a real-time database, and setting a validity period of the active mark so as to delete active mark data from the real-time database after the validity period; the online user data comprises identity information of the user; when the user operates, the identity information of the operation user is analyzed; if the active mark of the user is stored in the real-time database, refreshing and resetting the validity period of the active mark, otherwise, re-writing the active mark and setting the validity period of the active mark; when the user exits, analyzing current user information, and deleting the active mark data; and when the active mark data is deleted, subtracting the initial active time in the active mark data from the current time to obtain the single active duration of the user corresponding to the active mark.

The application discloses a data consistency checking method for digital substation double-network communication and relates to the technical field of operation data monitoring.The application sets digital A network and digital B network, corrects time pulses sent by the digital A network and the digital B network, and then completes time synchronization of the digital double network, sets multiple acquisition cores in the digital A network and the digital B network, sets multiple fault-tolerant mechanisms for the acquisition cores, then acquires message data in the operation process of the substation through the acquisition cores, and monitors the acquisition process through the multiple fault-tolerant mechanisms, structurally analyzes the message data, then generates corresponding SV message detection data table and GOOSE message detection data table, and compares each channel data in the SV message detection data table and the GOOSE message detection data table of the digital A network and the digital B network in sequence, and judges the digital network with abnormalities according to the comparison result.

The invention discloses a dynamic billboard generation method for the business practicability level of a digital substation, belongs to the technical field of digital substations, and aims to solve the problems that a unified data fusion framework is lacked, an alarm can be triggered only when an index exceeds a preset threshold value, and index trend prediction and potential anomaly identification cannot be realized. The method comprises the following steps: acquiring multi-source data, performing data fusion on the acquired multi-source data, realizing deep analysis and intelligent early warning of the data based on machine learning and an index system, and dynamically rendering an index calculation result, a trend prediction curve and graded early warning information to a billboard interface through a visual component according to a display demand configured by a user. The real-time updating and display of the data are realized; according to the method, a unified multi-source heterogeneous data fusion framework is constructed, the problem that data formats and semantics are inconsistent is solved, normalized integration of all-channel data of equipment, business and operation and maintenance is achieved, and practical evaluation is more comprehensive and accurate.