44 results about "Digital substation" patented technology

The invention discloses a condensation monitoring method for a digital substation. The method comprises the following steps: acquiring data information of a target digital substation; a high-risk area where condensation occurs is determined, and monitoring equipment is arranged to obtain monitoring data; selecting a monitoring frequency band, acquiring and analyzing data of the monitoring frequency band, and constructing a feature set related to the condensation degree; acquiring monitoring data of the target digital substation in real time and selecting an electromagnetic wave monitoring frequency band; feature extraction and analysis are carried out to construct a condensation monitoring model, and optimization is carried out; generating a condensation risk prediction result of the target digital substation based on the optimized condensation monitoring model; and giving an optimal anti-condensation measure for the target digital substation according to a prediction result, and completing condensation monitoring of the target digital substation. According to the method, the environmental parameters of the digital substation are acquired and processed, and the condensation prediction model is established, so that the condensation monitoring of the digital substation is realized, the reliability is higher, and the accuracy is better.

The invention relates to a transformer fault multi-dimensional monitoring method based on a digital substation, and belongs to the technical field of fault monitoring. The method comprises the following steps: sending obtained original data of a sensor network to a digital substation, sampling an analog signal of the original data by the digital substation, transmitting the analog signal to intelligent electronic equipment in the substation, and generating an output data stream; performing multi-dimensional feature extraction in the monitoring intelligent electronic equipment according to the output data stream to obtain fault feature parameters of the transformer; performing fusion dimension reduction processing on the fault feature parameters through a feature fusion model to obtain a fused fault feature vector; and inputting the fused fault feature vectors into a pre-trained fault classification model for fault type identification, and automatically identifying the fault type of the transformer. The transformer fault can be accurately and rapidly monitored, and the accuracy and efficiency of fault identification are effectively improved.

The invention discloses a digital substation electric power industrial control system network hardware asset identification method and device, relates to the technical field of electric power industrial control system asset identification, and aims to identify relevance between to-be-accessed target hardware assets and existing assets by calculating similarity and update a hardware asset library in time. False report and confusion caused by network change are reduced, and efficiency and accuracy of network management are improved. The method comprises the following steps: constructing a hardware asset attribute index; preprocessing the hardware asset data of each hardware asset according to the hardware asset attribute indexes, and constructing a hardware asset library; in response to the hardware asset access request, obtaining a to-be-accessed target hardware asset, preprocessing target hardware asset data of the target hardware asset to obtain a target attribute sequence, and calculating the similarity between the target hardware asset and each hardware asset by using the target attribute sequence; and updating the hardware asset library by referring to the similarity between the target hardware asset and each hardware asset.

The invention discloses a data consistency verification method for dual-network communication of a digital substation, and relates to the technical field of operation data monitoring. The digital network A and the digital network B are arranged, time correction pulses are sent to the digital network A and the digital network B, then time synchronization of the digital double networks is completed, a plurality of collection cores are arranged in the digital network A and the digital network B, multiple fault-tolerant mechanisms are set for the collection cores, and the time synchronization of the digital double networks is completed. The message data in the operation process of the transformer substation is acquired through the acquisition core, the acquisition process is monitored through a multiple fault-tolerant mechanism, structured analysis is performed on the message data, and then a corresponding SV message detection data table and a GOOSE message detection data table are generated; and sequentially comparing the SV message detection data tables of the digital network A and the digital network B with each channel data in the GOOSE message detection data, and judging an abnormal digital network according to a comparison result.

The present disclosure relates to a system and method of classification of faults associated with digital substations. The method comprises receiving a disturbance record associated with each of a plurality of faults, from one or more lEDs (102) associated with the digital substation (101), upon occurrence of each fault. Further, the method comprises extracting one or more features associated with the fault variable by analysing the fault variable using a predefined feature extraction technique. Further, the method comprises determining one or more entropies for each of the one or more features. Thereafter, the method comprises classifying each of the fault into one of one or more fault types using a machine learning model (235) by analysing the one or more entropies and the one or more features. The present invention provides precise fault diagnosis for maintaining operational efficiencies and may minimize disruptions in the digital substation.

The invention discloses a security anomaly detection method and system for an SV message of a digital substation, and belongs to the technical field of safe operation of a power distribution network. The method comprises the following steps: acquiring SV message data in a digital substation and carrying out real-time preprocessing; after historical normal SV message features are preprocessed, reconstruction errors are solved through an auto-encoder, a dynamic threshold value is solved according to the reconstruction errors, unsupervised training is carried out with the reconstruction error being minimum as the target, the dynamic threshold value is set as a security anomaly criterion of unsupervised training, and security anomaly detection is carried out. Constructing a deep auto-encoder neural network model of unsupervised learning; new normal working condition data are received, and the unsupervised learning deep auto-encoder neural network model is updated; and inputting the preprocessed SV data into the updated unsupervised learning deep auto-encoder neural network model to obtain an anomaly detection result. According to the invention, the false alarm rate and the missing report rate are obviously reduced, and powerful guarantee is provided for power distribution network safety and power system reliability.

The invention discloses a multi-source heterogeneous data processing method and device in an industrial control system of a digital substation, relates to the technical field of power data processing, and mainly aims to improve the cleaning accuracy of data. The method comprises the following steps: acquiring to-be-processed multi-source heterogeneous data in a digital substation industrial control system; performing classification processing on the to-be-processed multi-source heterogeneous data to obtain to-be-processed data under different classification categories; and determining a data processing mode corresponding to each classification category, and processing the to-be-processed data under the corresponding classification category by using each data processing mode to obtain processed data corresponding to each classification category. The multi-source heterogeneous data processing method is suitable for processing the multi-source heterogeneous data in the digital substation industrial control system.

The present disclosure relates to securing digital substation. A switching node is configured to connect a decoy network and a substation communication network. Further, a plurality of bogus medium access control (MAC) IDs are created that resembles similar to a plurality of critical media access control (MAC) IDs exchanged between a plurality of intelligent electronic devices (IEDs) present in the substation communication network. Furthermore, the plurality of bogus MAC IDs are provided to the decoy network for communicating with the alien device. In this way, one or more malicious attack requests received from the alien device are detected. Further, the switching node may switch the substation network to the decoy network for displaying a set of bogus MAC IDs to the alien device depending on type of the one or more malicious attack requests.

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 belongs to the field of electric power industrial control system safety. The invention provides a digital substation power industrial control system user security access control method and system innovatively. The method comprises the following steps: calculating an abnormal score # imgabs0 # that a kth user Vk accesses a digital substation power industrial control system for the ith time, and calculating an abnormal score set of each access of all users according to the abnormal score # imgabs1 #; the abnormal scores in the abnormal score set are ranked from small to large according to numerical values to obtain S ', access recognition is conducted according to the ranked abnormal score set, the problems that a traditional access method is complex in implementation and needs to process a large amount of data are solved, and the method is scientific, reasonable, low in energy consumption, easy to implement and high in practicability. The user access can be evaluated and judged more accurately, and the access safety of the electric power industrial control system of the digital substation is effectively ensured.

1. Name of the product of this design: Graphical user interface for emergency material management for electronic equipment. 2. Purpose of this design product: for electronic equipment. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: The graphical user interface of the product is the software interface of the digital substation fire emergency material management system; the main view is the first interface displayed by the system; the interface change status diagram is the interface displayed after clicking the "Emergency Materials" option in the main view interface.

The present invention uses a safe temperature coefficient and an alarm cutoff temperature coefficient, set in advance for each heat resistance class classified according to the heat resistance characteristics of insulating materials used in monitored transformers deployed in respective electrical circuits going from a power supply to a plurality of loads, to determine whether power can continue to be supplied through the monitored transformers, continues issuing an alarm to a person in charge when necessary, and cuts off the power supply when necessary. The present invention is deployed in a building in which the transformers are deployed. When an alarm is issued by a fire alarm that senses smoke and / or heat from a fire and issues an alarm, the present invention is deployed to the building or to the load deployed in an area in which the fire alarm issuing the alarm is deployed, cuts off the power supply to the load, and prevents electrical accidents or the like of secondary disasters caused by short circuits, sparks, tracking, or the like in a low-voltage distribution board, a distribution board, a control board, and a trunk line, wiring, terminal electric equipment, terminal load equipment, or the like of a system caused by the occurrence of a fire.

The invention discloses a feature extraction method for digital substation equipment. The method comprises the following steps: analyzing target digital substation equipment to confirm a fault diagnosis signal; obtaining a fault diagnosis signal and carrying out noise reduction and decomposition to obtain candidate intrinsic mode function components; calculating the sample entropy of the candidate intrinsic mode function component, and comparing the sample entropy with the sample entropy of the actual signal to obtain an intrinsic mode function component; and feature vectors in the intrinsic mode function components are extracted, dimensionality reduction, inspection and analysis are carried out, and the final features of the digital substation equipment are obtained. The invention also discloses a system for realizing the feature extraction method of the digital substation equipment. According to the method, noise reduction, decomposition, sample entropy calculation, comparison and dimension reduction analysis are carried out on the obtained transformer substation equipment signal, so that feature extraction of digital transformer substation equipment is realized, the reliability is higher, and the accuracy is better.

The invention discloses an equipment monitoring method and device for a digital substation, equipment and a storage medium, and the method comprises the steps: obtaining the position information of each camera device in the substation and the shooting region of each camera device, determining each substation device in the shooting region of the camera device as equipment associated information, and storing the equipment associated information in a server; and according to the position information and the associated information of each camera device, carrying out transformer substation three-dimensional modeling to obtain a digital transformer substation model, in response to an instruction for monitoring the transformer substation device, determining all camera devices associated with the transformer substation device in the digital transformer substation model, calling a plurality of camera devices, and displaying a shooting area picture. Therefore, a comprehensive and systematic information network is constructed by associating the camera equipment with the substation equipment, so that operation and maintenance personnel can quickly inquire the operation condition of the target substation equipment and efficiently monitor the substation equipment, the information management efficiency is improved, and safe and stable operation of the substation is guaranteed.

The utility model discloses an intelligent switch cabinet for a digital substation, which relates to the technical field of intelligent switch cabinets and comprises a switch cabinet body, a cabinet door is rotatably mounted at the open end of the switch cabinet body, a mounting plate is mounted on the side wall of the inner bottom of the switch cabinet body, and two through mounting grooves are formed in two sides of the mounting plate. A plurality of threading holes are formed in the middle of the mounting plate, two filter screens are further installed at the bottom of the mounting plate, an air inlet groove communicated with the interior of the switch cabinet body is formed in the side wall of the bottom of the switch cabinet body, and the air inlet groove is located at the bottom of the mounting plate; a plurality of second heat dissipation fans are further installed on the side wall of the inner top of the switch cabinet body, heat dissipation grooves corresponding to the second heat dissipation fans are formed in the side wall of the top of the switch cabinet body, and dust removal parts corresponding to the heat dissipation grooves are arranged outside the switch cabinet body. The heat dissipation effect is poor; and the cabinet body lacks necessary dust removal treatment.

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 invention provides a networking joint debugging method and device for a digital substation and a computer program product, and the method comprises the steps: building a wireless connection between a debugging host and at least one debugging instrument under the condition that the at least one debugging instrument is in wired communication connection with a to-be-debugged merging unit and a to-be-debugged intelligent terminal, the debugging instrument is used for generating a simulation signal of the mutual inductor; the debugging host synchronously sends a debugging instruction to the debugging instrument, so that at least one debugging instrument synchronously generates a corresponding simulation signal, and the simulation signal is sent to the corresponding relay protection device or measurement and control device through the merging unit; the relay protection device or the measurement and control device feeds back the action time to the debugging host through the intelligent terminal and the debugging instrument in sequence, full-loop debugging is completed, and the problem that in the prior art, debugging work of a digital substation wastes manpower is solved.

The invention discloses a risk behavior identification method and device for power grid asset data, relates to the technical field of communication, and mainly aims to solve the problem that risk behavior identification cannot be performed on the power grid asset data in the prior art. Comprising the following steps: acquiring alarm information obtained by alarming power grid asset data by a digital substation industrial control system, and constructing a topological network of the digital substation industrial control system; determining an asset influence score based on the asset association degree of each power grid asset data in the topology network, and determining risk asset data according to the asset influence score, the asset influence score being used for representing a condition of generating a risk influence on power grid assets; and identifying the alarm information and the risk asset data, and determining the risk behavior of the power grid asset data.

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 provides a debugging method and device for a digital substation and a computer program product, and the method comprises the steps: controlling debugging software to generate a simulation signal corresponding to a collection signal of a mutual inductor, and transmitting the simulation signal to a merging unit; the control merging unit processes the simulation signal to obtain a first digital simulation signal, and sends the first digital simulation signal to a corresponding protection device or a measurement and control device; the control protection device or the measurement and control device generates a corresponding action instruction according to the first digital simulation signal and sends the action instruction to the intelligent terminal; controlling the intelligent electronic equipment to receive and execute the action instruction transmitted by the intelligent terminal, and sending the action state of the intelligent electronic equipment to the intelligent terminal; and under the condition that the action states of all the intelligent electronic equipment meet the expectation, the debugging of the digital substation is determined to be passed, so that the problem that the secondary system of the substation is not completely debugged in the prior art is solved.

The present invention uses a safe temperature coefficient and an alarm cutoff temperature coefficient, set in advance for each heat resistance class classified according to the heat resistance characteristics of insulating materials used in monitored transformers deployed in respective electrical circuits going from a power supply to a plurality of loads, to determine whether power can continue to be supplied through the monitored transformers, continues issuing an alarm to a person in charge when necessary, and cuts off the power supply when necessary. The present invention is deployed in a building in which the transformers are deployed. When an alarm is issued by a fire alarm that senses smoke and / or heat from a fire and issues an alarm, the present invention is deployed to the building or to the load deployed in an area in which the fire alarm issuing the alarm is deployed, cuts off the power supply to the load, and prevents electrical accidents or the like of secondary disasters caused by short circuits, sparks, tracking, or the like in a low-voltage distribution board, a distribution board, a control board, and a trunk line, wiring, terminal electric equipment, terminal load equipment, or the like of a system caused by the occurrence of a fire.

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 invention discloses an establishment method, device and equipment of a three-dimensional digital transformer substation and a storage medium, and the method comprises the steps: collecting equipment and buildings of the transformer substation through a three-dimensional laser scanner, obtaining point cloud data, splicing and filtering the point cloud data, obtaining denoised point cloud data, extracting the contour features of the equipment and the structural features of the buildings, and obtaining the contour features of the equipment and the structural features of the buildings; and determining the connection modes between the devices and between the devices and the building, and carrying out three-dimensional modeling to obtain the three-dimensional digital substation. Therefore, the three-dimensional laser scanner can accurately perform data acquisition on each device and building of the transformer substation to obtain comprehensive point cloud data, human errors are reduced, the establishment of the three-dimensional digital transformer substation meets the requirements of intelligent power grid construction on refined, intelligent and visual operation and maintenance management of the transformer substation, the operation and maintenance cost is reduced, and the operation and maintenance efficiency is improved. The power supply reliability is improved, and powerful support is provided for full-life-cycle operation and maintenance management of the transformer substation.

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.

This application discloses a DC protection measurement and control device, characterized in that the measurement and control device includes a host module and a liquid crystal module. The host module and the liquid crystal module perform information interaction through a data line or a wireless transceiver module. The host module includes a protection component, a communication component, an input component, an output component, a sampling component, a power supply component, and a digitalization component. Data transmission is carried out between the components through a backplane bus. Among them, the digitalization component provides an interface for accessing the process layer network of a digital substation, so that the measurement and control device can exchange information with other secondary power equipment. With the support of the digitalization module, the rapidity and reliability of information transmission between secondary devices are improved; the function of load dynamic monitoring is available, providing a reference for reasonable load allocation; the adoption of the visual configuration development method improves the development efficiency.

A system that prevents electrical accidents that may lead to fires in an electrical circuit configuration in which the power circuit from the power source and the load circuit to the load are electrically connected via various electrical devices. A system that prevents accidents that may damage the various power, electrical devices, and equipment that are the loads to which the load circuit is connected. A system that prevents electrical accidents caused by short circuits, sparks, tracking, etc. in low-voltage distribution boards, distribution boards, control panels, system trunk lines, wiring, terminal electrical equipment, terminal load equipment, etc.

An inspection method and system based on a digital transformer substation relates to the technical field of digital transformer substation inspection, performs periodic analysis on easily abnormal characteristics in a plurality of easily abnormal characteristic time periods in a historical period to obtain an easily abnormal period evaluation value, is helpful for inspectors to evaluate the operation stability degree of some equipment in the digital transformer substation, and improves the inspection efficiency of the digital transformer substation. According to the easy-to-anomaly period evaluation value, whether the easy-to-anomaly characteristics have periodicity in multiple easy-to-anomaly characteristic time periods in the historical period is identified, and according to the evaluation period result, the inspection optimization quantity is further obtained, and the inspection interval duration of the inspection strategy is adjusted, so that the easy-to-anomaly characteristics are dynamically adjusted, and the accuracy of the inspection strategy is improved. In the case of sudden small-interval abnormity, the inspection frequency can be increased in time, the response speed to the sudden abnormity can be improved, the fault can be quickly positioned and processed, the influence of the equipment fault on the normal operation of the transformer substation can be reduced, and the emergency response efficiency can be improved.

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 invention discloses a threat assessment method and system for a digital substation electric power industrial control system, and relates to the technical field of electric power industrial control system network security. The method comprises the following steps: obtaining threat characteristic parameters according to the threat type of the digital substation electric power industrial control system, and establishing a threat characteristic model according to the threat characteristic parameters; summarizing all the threat feature models and carrying out matrix processing on the summarized models to obtain a total threat feature model; calculating an overall threat score of all threat feature parameters according to the threat feature general model; and setting an overall threat level, and performing overall threat level evaluation on the digital substation electric power industrial control system according to the overall threat score. According to the method, the problem of deficiencies in the aspects of threat feature data processing and threat risk assessment in the prior art can be solved, so that more accurate threat identification and more effective risk management are realized.