CN113570474A - Monitoring system for power grid event response - Google Patents
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Abstract
A monitoring system for power grid event response comprises a view layer, a control layer, a data service layer and a business logic layer; data interaction is carried out between the control layer and the view layer; the data service layer performs data interaction with the business logic layer; the business logic layer comprises an alarm monitoring module, an event analysis module, an alarm synthesis module and an intelligent auxiliary decision module; the intelligent auxiliary decision-making system comprises an alarm monitoring module, an alarm analysis module, an alarm synthesis module and an intelligent auxiliary decision-making module, wherein the alarm monitoring module is used for monitoring alarm information and operation data in real time, the alarm analysis module is used for extracting a power grid event from the alarm information and the operation data based on a semantic recognition algorithm, the alarm synthesis module is used for performing event synthesis on the alarm information of electrical equipment corresponding to the power grid event, and combining event characteristic information of the equipment corresponding to the power grid event and the alarm information after event synthesis into logic processing data, and the intelligent auxiliary decision-making module is used for extracting auxiliary decision-making information from an auxiliary decision-making knowledge base according to the logic processing data and sending the auxiliary decision-making information to professionals.
Description
Technical Field
The invention relates to the technical field of power grid event monitoring, in particular to a monitoring system for power grid event response.
Background
With the rapid development of the power industry in China, the scale of a power grid in China is continuously enlarged, and more primary and secondary devices are incorporated into the power grid, so that the structure of the power grid is complicated, the operation modes are various, and more alarm information needs to be monitored in the power grid. Through statistical analysis of alarm data of a certain municipal power grid dispatching automation system, under a conventional operation mode, dozens of alarm information to the dispatching system within one minute are different, and the alarm information relates to various events, including telemetering out-of-limit events, equipment abnormal events, switch operation events, disconnecting link operation events, protection action events, transformer operation events and the like. Moreover, when the power grid fails, the quantity of the alarm information sent to the dispatching system is suddenly increased and often reaches hundreds of pieces within one second, and the content of the alarm information is sent to change rapidly; if the power grid fault is complex and difficult to recover or the automatic fault recovery device cannot normally operate, hundreds or even thousands of pieces of alarm information with different contents are flushed into a control center of the dispatching system within one second. Therefore, when the power grid fault occurs frequently, a large amount of alarm information which changes rapidly is triggered within a short time, which causes great challenges to power grid monitoring personnel, easily causes the missed judgment and the erroneous judgment of the fault, and the delayed notification of the fault information. The missed judgment and the erroneous judgment of the power grid fault and the delayed notification of the fault information cause that each professional of the power grid is difficult to respond in time, the fault information cannot be known at the first time, the power grid fault cannot be treated effectively in time, the progress of power grid recovery is delayed, and huge economic loss is caused. In addition, due to the fact that abnormal or random errors occur in the operation of the telecontrol system, the communication system and the related measuring equipment, alarm information is distorted, and a dispatcher cannot correctly judge the current operation state of the power grid.
In the prior art, chinese invention patent (CN103268353B) discloses an "automatic power grid alarm response system and an automatic power grid alarm response method", which classify and summarize power grid alarm data, remove noise, and perform logic analysis, contradiction analysis and response processing rules to reduce alarm noise, improve the effective utilization rate of the system, preferentially match response rules with high frequency, and shorten the response time of the system. The Chinese patent application (CN112085231A) discloses a method for quickly responding accident information of a power dispatching control center, which optimizes and modifies original remote signaling signals in the information of each substation table so as to reduce the total amount of monitoring information of an access system; configuring a time delay alarm function for the intelligent power grid dispatching control system so as to filter short-time action and reset signals under each fault condition; and the monitoring personnel accurately and quickly determine the fault information from the rectified and filtered fault information, and report a fault trip conclusion to the dispatcher in time after preliminary analysis and study and judgment. The quick response method for the accident information of the power dispatching control center greatly reduces the pressure of fault study and judgment under the accident condition of a duty monitor, and shortens the accident information processing time; meanwhile, the monitoring information is optimized, so that the pressure of monitoring personnel is reduced, the monitoring efficiency is improved, and the safe and stable operation level of the power grid is improved.
However, in the prior art represented by the above patent technologies, the alarm information is processed in a related manner, and the total amount of alarm information data is reasonably controlled and reduced by classified induction, filtering denoising, logical merging and contradiction elimination, however, when the technologies face a power grid with higher voltage and larger interconnected area, the total amount of alarm information after optimized adjustment is still very large, and a certain delay influence is still caused on the response speed of a power grid event, so that a hidden danger is brought to the stable operation of the power grid.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a monitoring system for power grid event response, which analyzes the correlation degree of alarm information of a monitored power grid event, realizes the eventing synthesis of various alarm information of the power grid event, calls a recovery strategy by combining with the operation data of equipment corresponding to the power grid event, and informs professionals by combining with the positioning information of the power grid event.
The invention adopts the following technical scheme.
A monitoring system for power grid event response comprises a view layer used for carrying out data interaction with system users in the form of graphs and tables.
The monitoring system for power grid event response further comprises a control layer, a data service layer and a service logic layer;
the control layer is used for carrying out data interaction with the view layer, acquiring an instruction request of a system user from the view layer on one hand, and transmitting logic processing data fed back by the service logic layer to the view layer on the other hand; the logic processing data is data obtained by performing service logic processing on a power grid event by a service logic layer;
the data service layer is used for carrying out data interaction with the service logic layer, on one hand, a calling instruction is obtained from the service logic layer, and on the other hand, associated data is returned to the service logic layer; the associated data is corresponding data obtained after querying the associated database according to the calling instruction;
the business logic layer comprises an alarm monitoring module, an event analysis module, an alarm synthesis module and an intelligent auxiliary decision module; the intelligent auxiliary decision-making system comprises an alarm monitoring module, an alarm analysis module, an alarm synthesis module and an intelligent auxiliary decision-making module, wherein the alarm monitoring module is used for monitoring alarm information and operation data in real time, the alarm analysis module is used for extracting a power grid event from the alarm information and the operation data based on a semantic recognition algorithm, the alarm synthesis module is used for performing event synthesis on the alarm information of electrical equipment corresponding to the power grid event, and combining event characteristic information of the equipment corresponding to the power grid event and the alarm information after event synthesis into logic processing data, and the intelligent auxiliary decision-making module is used for extracting auxiliary decision-making information from an auxiliary decision-making knowledge base according to the logic processing data and sending the auxiliary decision-making information to professionals.
Preferably, the control layer includes a controller module, a plurality of different application programs are built in the controller module, different instruction requests of the view layer are transmitted to the corresponding service logic layer in a program direct control manner, and the logic processing data fed back by the service logic layer is transmitted to the view layer.
Preferably, the data service layer includes: the system comprises a data query module, a data storage module and a data verification module;
the data query module is used for querying the associated database according to the call instruction acquired from the business logic layer to acquire corresponding data; the data verification module is used for verifying all the data inquired and acquired by the data inquiry module before submitting and returning the data to the service logic layer; and the data storage module is used for regularly backing up all data in the associated database and storing the data backup into an independent storage medium.
Further, data verification comprises foreground verification or/and background verification;
the contents of foreground authentication include: data type, data length, whether padding is necessary, data format or/and business rules; the contents of the background verification comprise: user rights, data type, data length, whether padding is necessary, data format, and/or business rules.
Preferably, the alarm information monitored by the alarm monitoring module in real time includes: accident total information, various protection and safety automatic device action outlet information, switch abnormal displacement information, primary and secondary equipment abnormal alarm information and automation and communication equipment alarm information;
the operation data of the alarm monitoring module for real-time monitoring comprises the following steps: line current, line voltage, section tide, circuit breaker position, isolation and grounding switch position information and secondary equipment position state information.
Preferably, the alarm analysis module analyzes the power grid alarm information based on a semantic recognition algorithm to extract the power grid event, and the method includes: firstly, carrying out data cleaning pretreatment and data integration pretreatment on real-time monitored alarm information and operation data; dividing the preprocessed alarm information and operation data according to the electrical equipment interval, and dividing the alarm information and the operation data in the same electrical equipment interval together; then, fusing different types of alarm information and operation data in the same electrical equipment interval through a multi-source data fusion algorithm to obtain fusion data of the electrical equipment interval; and (5) transmitting the fusion data serving as input data to a trained deep neural network model, and calculating by the model to extract the power grid event.
Preferably, the alarm synthesis module performs keyword recognition on the alarm information of the electrical equipment corresponding to the power grid event based on the alarm information knowledge base; judging and synthesizing a plurality of alarm information of the electrical equipment based on an event synthesis rule according to the identified keywords to obtain alarm information after the event synthesis; the event synthesis rule comprises a single electrical equipment alarm synthesis rule and a plurality of electrical equipment alarm association rule;
further, the alarm synthesis module reads the event characteristic information of the electrical equipment corresponding to the power grid event one by one, and combines the event characteristic information and the alarm information after the event synthesis into logic processing data.
Further, the event characteristic information of a certain device corresponding to the power grid event includes: the account attribute, the affected user range, the number of power failures within 62 days, and the number of power failures of the affected distribution transformer.
Further, the data structure of the logic processing data is in a tree structure, and mainly comprises: the root node is the power grid event information, the leaf nodes under the root node are the names of all the devices, and the branches under the names of all the devices are the alarm information and the characteristic information of all the devices.
Preferably, the intelligent aid decision module analyzes the logic processing data, and comprises: extracting an equipment name, equipment fault information and a power grid operation mode after fault from logic processing data by a natural language processing technology; calling parameter information, historical fault information and historical overhaul information of the equipment according to the equipment name; analyzing parameter information, historical fault information and historical maintenance information of equipment by a knowledge map method, calculating specific power failure equipment and power failure reasons, and providing auxiliary decision information for professionals related to a power grid; based on the location of the distribution transformer in the logic processed data, grid event location information is sent to system users.
Compared with the prior art, the method has the advantages that the perception capability of each professional of the power grid on the power grid event, particularly the power grid fault event, is improved, and the power grid fault first-aid repair efficiency and the reliability and the safety of the power grid operation are further improved.
The beneficial effects of the invention include:
1. the real-time monitoring of mass alarm information is realized, and the cause analysis capability of the power grid fault event is improved;
2. and the power grid fault information and the recovery strategy are timely notified to power grid emergency repair personnel, so that the power grid fault emergency repair efficiency is improved, and the reliability and the safety of the power grid operation are guaranteed.
Drawings
FIG. 1 is a schematic diagram of a monitoring system for grid event response according to the present invention;
FIG. 2 is a functional schematic of a grid event response monitoring system of the present invention;
FIG. 3 is a schematic diagram of an incident interface of a grid incident response monitoring system according to the present invention;
FIG. 4 is a schematic diagram of a distribution automation interface of a monitoring system for grid event response according to the present invention;
FIG. 5 is a schematic view of an interface for monitoring system of grid event response according to the present invention;
fig. 6 is a schematic diagram of a branch switch interface of a grid event response monitoring system according to the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
Referring to fig. 1, a monitoring system for grid event response includes a view layer for performing data interaction with a system user in the form of a graph and a table.
The monitoring system for power grid event response further comprises a control layer, a data service layer and a service logic layer;
the control layer is used for carrying out data interaction with the view layer, acquiring an instruction request of a system user from the view layer on one hand, and transmitting logic processing data fed back by the service logic layer to the view layer on the other hand; the logic processing data is data obtained by the service logic layer after the service logic layer performs service logic processing on the power grid event.
Preferably, the control layer includes a controller module, a plurality of different application programs are built in the controller module, different instruction requests of the view layer are transmitted to the corresponding service logic layer in a program direct control manner, and the logic processing data fed back by the service logic layer is transmitted to the view layer.
The data service layer is used for carrying out data interaction with the service logic layer, on one hand, a calling instruction is obtained from the service logic layer, and on the other hand, associated data is returned to the service logic layer; the associated data is corresponding data obtained after querying the associated database according to the calling instruction.
Preferably, the data service layer includes: the system comprises a data query module, a data storage module and a data verification module;
the data query module is used for querying the associated database according to the call instruction acquired from the business logic layer to acquire corresponding data; the data verification module is used for verifying all the data inquired and acquired by the data inquiry module before submitting and returning the data to the service logic layer; and the data storage module is used for regularly backing up all data in the associated database and storing the data backup into an independent storage medium.
Further, data verification comprises foreground verification or/and background verification;
the contents of foreground authentication include: data type, data length, whether padding is necessary, data format or/and business rules; the contents of the background verification comprise: user rights, data type, data length, whether padding is necessary, data format, and/or business rules.
The business logic layer comprises an alarm monitoring module, an event analysis module, an alarm synthesis module and an intelligent auxiliary decision module; the intelligent auxiliary decision-making system comprises an alarm monitoring module, an alarm analysis module, an alarm synthesis module and an intelligent auxiliary decision-making module, wherein the alarm monitoring module is used for monitoring alarm information and operation data in real time, the alarm analysis module is used for extracting a power grid event from the alarm information and the operation data based on a semantic recognition algorithm, the alarm synthesis module is used for performing event synthesis on the alarm information of electrical equipment corresponding to the power grid event, and combining event characteristic information of the equipment corresponding to the power grid event and the alarm information after event synthesis into logic processing data, and the intelligent auxiliary decision-making module is used for extracting auxiliary decision-making information from an auxiliary decision-making knowledge base according to the logic processing data and sending the auxiliary decision-making information to professionals.
Preferably, the alarm information monitored by the alarm monitoring module in real time includes: accident total information, various protection and safety automatic device action outlet information, switch abnormal displacement information, primary and secondary equipment abnormal alarm information and automation and communication equipment alarm information;
the operation data of the alarm monitoring module for real-time monitoring comprises the following steps: line current, line voltage, section tide, circuit breaker position, isolation and grounding switch position information and secondary equipment position state information.
Preferably, the alarm analysis module analyzes the power grid alarm information based on a semantic recognition algorithm to extract the power grid event, and the method includes: firstly, carrying out data cleaning pretreatment and data integration pretreatment on real-time monitored alarm information and operation data; dividing the preprocessed alarm information and operation data according to the electrical equipment interval, and dividing the alarm information and the operation data in the same electrical equipment interval together; then, fusing different types of alarm information and operation data in the same electrical equipment interval through a multi-source data fusion algorithm to obtain fusion data of the electrical equipment interval; and (5) transmitting the fusion data serving as input data to a trained deep neural network model, and calculating by the model to extract the power grid event.
Preferably, the alarm synthesis module performs keyword recognition on the alarm information of the electrical equipment corresponding to the power grid event based on the alarm information knowledge base; judging and synthesizing a plurality of alarm information of the electrical equipment based on an event synthesis rule according to the identified keywords to obtain alarm information after the event synthesis; the event synthesis rule comprises a single electrical equipment alarm synthesis rule and a plurality of electrical equipment alarm association rule;
further, the alarm synthesis module reads the event characteristic information of the electrical equipment corresponding to the power grid event one by one, and combines the event characteristic information and the alarm information after the event synthesis into logic processing data.
Further, the event characteristic information of a certain device corresponding to the power grid event includes: the account attribute, the affected user range, the number of power failures within 62 days, and the number of power failures of the affected distribution transformer.
Further, the data structure of the logic processing data is in a tree structure, and mainly comprises: the root node is the power grid event information, the leaf nodes under the root node are the names of all the devices, and the branches under the names of all the devices are the alarm information and the characteristic information of all the devices.
Preferably, the intelligent aid decision module analyzes the logic processing data, and comprises: extracting an equipment name, equipment fault information and a power grid operation mode after fault from logic processing data by a natural language processing technology; calling parameter information, historical fault information and historical overhaul information of the equipment according to the equipment name; analyzing parameter information, historical fault information and historical maintenance information of equipment by a knowledge map method, calculating specific power failure equipment and power failure reasons, and providing auxiliary decision information for professionals related to a power grid; based on the location of the distribution transformer in the logic processed data, grid event location information is sent to system users.
Example 1.
The data display mainly comprises the steps that a BootStrap foreground frame generates an HTML page, the user inputs the HTML control, some special operations and page effects are completed through JavaScript, and the page style is specified through CSS. And submitting the data submitted to the server to a background Controller for processing.
The view layer mainly completes the user interaction function. The data display is mainly carried out on a page by using JSP and HTML5 at a PC end, the user inputs HTML controls, some special operations and page effects are completed by Java Script and Actionscript, and the page style is specified by CSS. And submitting the data submitted to the server to an Action class in a background for processing, and submitting part of functions in an AJAX mode to improve the user interface friendliness. The project utilizes the HTML5 component to develop the page, and guarantees that the CSS style of the page completely conforms to the interface specification of the power company.
The control layer is managed by Spring's Contrler controller. The controller is responsible for receiving requests from users and invoking background services to handle business logic. After processing, the background business logic layer may return some data to be displayed in the view layer. The controller gathers these data and prepares the model for delivery to the viewing layer presentation.
The Service logic layer is composed of a series of services, mainly performs Service processing, each Service is a group of closely associated Service functions, and the Service functions call the data Service layer interface to complete persistence. The business logic layer only concerns business logic, is designed to be thread safe, mostly is in a single-case mode, and realizes the functions of the business logic layer by using JavaBean.
The data service layer is mainly responsible for accessing data sources such as relational databases and converting data into Java objects for being called by programs of other layers, and common data maintenance functions can be directly called without independent DAO design; data objects common to multiple modules or providing interfaces to the outside are then encapsulated by javabeans as more easily understood objects.
Example 2.
As shown in fig. 2, in the preferred embodiment, the view layer includes a login interface, a main interface, an eventing interface, a distribution automation interface, a utilization interface, and a branch switch interface; the user can enter the main interface by inputting the correct login name, password and verification code in the login interface in the view layer.
And the user checks the real-time monitoring alarm information and inquires related data through the main interface.
Specifically, a user inputs query content on a main interface, the main interface transmits the input content of the user to a data service layer through a controller, the data service layer verifies the input content and the user authority through a data verification function in a foreground-background mode, the data service layer queries the input content conforming to the verification through the data query function, and finally the queried data are returned to the main interface through the controller to be displayed.
As shown in fig. 3, in this embodiment, when the monitoring function monitors a power grid outage event, the related data is displayed through the event interface.
Specifically, the data analysis function analyzes the monitored power failure events, then generates power failure events according to lines in the power failure events, analyzes account attributes of the lines, influenced user conditions, power failure times of the lines within 62 days and influenced distribution frequency power failure times after the events are synthesized, and finally sends the data to related personnel through the short message notification function.
As shown in fig. 4, in the present embodiment, after the line blackout event is generated, the data analysis function analyzes the specific blackout equipment and blackout cause, and displays the relevant data through the distribution automation interface.
Specifically, the data analysis function analyzes specific power failure equipment and power failure reasons, analyzes a recovery strategy and a recovery switch of a line, extracts corresponding data for display, and finally sends the fault reasons and the recovery strategy to related personnel through the short message notification function.
As shown in fig. 5, in this embodiment, after the monitoring function monitors the power loss data of the distribution transformer of the mining or TTU, the mining interface displays the relevant data.
Specifically, after monitoring distribution and transformation power loss data of an acquisition unit or a TTU (time to live) by the monitoring function, the data analysis function analyzes the power failure property of the distribution and transformation, analyzes the unmatched power failure according to an overhaul plan, a single distribution and transformation plan and fault power failure recorded for a certain power supply company, merges the power failure events of the distribution and transformation within half an hour according to the same line and power failure time interval, and finally notifies related personnel by the short message notification function.
As shown in fig. 6, in this embodiment, after the monitoring function monitors that the branch switch has an opening and closing action, the monitoring function displays related data through the branch switch interface.
Specifically, after the monitoring function monitors that the branch switch has an opening and closing action, the data analysis function determines the accuracy of the power failure of the branch switch by judging whether the power failure of the distribution transformer under the same line exists or not, and after an event is synthesized, the data analysis function notifies related personnel through a short message notification function, and adds matched distribution transformers in the short message to enable the related personnel to be quickly positioned.
In this embodiment, the data storage function may periodically backup data and place the backup in a separate storage medium, so as to ensure that the data can be restored in time when the data has a problem.
Compared with the prior art, the method has the advantages that the perception capability of each professional of the power grid on the power grid event, particularly the power grid fault event, is improved, and the power grid fault first-aid repair efficiency and the reliability and the safety of the power grid operation are further improved.
The beneficial effects of the invention include:
1. the real-time monitoring of mass alarm information is realized, and the cause analysis capability of the power grid fault event is improved;
2. and the power grid fault information and the recovery strategy are timely notified to power grid emergency repair personnel, so that the power grid fault emergency repair efficiency is improved, and the reliability and the safety of the power grid operation are guaranteed.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (10)
1. A monitoring system for power grid event response comprises a view layer used for carrying out data interaction with system users in the form of graphs and tables, and is characterized in that,
the system also comprises a control layer, a data service layer and a business logic layer;
the control layer is used for carrying out data interaction with the view layer, acquiring an instruction request of a system user from the view layer on one hand, and transmitting logic processing data fed back by the service logic layer to the view layer on the other hand; the logic processing data is data obtained by performing service logic processing on a power grid event by a service logic layer;
the data service layer is used for carrying out data interaction with the service logic layer, on one hand, a calling instruction is obtained from the service logic layer, and on the other hand, associated data is returned to the service logic layer; the associated data is corresponding data obtained after querying an associated database according to a calling instruction;
the business logic layer comprises an alarm monitoring module, an event analysis module, an alarm synthesis module and an intelligent auxiliary decision module; the intelligent auxiliary decision-making system comprises an alarm monitoring module, an alarm analysis module, an alarm synthesis module and an intelligent auxiliary decision-making module, wherein the alarm monitoring module is used for monitoring alarm information and operation data in real time, the alarm analysis module is used for extracting a power grid event from the alarm information and the operation data based on a semantic recognition algorithm, the alarm synthesis module is used for performing event synthesis on the alarm information of electrical equipment corresponding to the power grid event, and combining event characteristic information of the equipment corresponding to the power grid event and the alarm information after event synthesis into logic processing data, and the intelligent auxiliary decision-making module is used for extracting auxiliary decision-making information from an auxiliary decision-making knowledge base according to the logic processing data and sending the auxiliary decision-making information to professionals.
2. A system for monitoring grid event responses as claimed in claim 1,
the control layer comprises a controller module, a plurality of different application programs are arranged in the controller module, different instruction requests of the view layer are transmitted to the corresponding service logic layer in a program direct control mode, and logic processing data fed back by the service logic layer are transmitted to the view layer.
3. A system for monitoring grid event responses as claimed in claim 1,
the data service layer comprises: the system comprises a data query module, a data storage module and a data verification module;
the data query module is used for querying the associated database according to the call instruction acquired from the business logic layer to acquire corresponding data; the data verification module is used for verifying all the data inquired and obtained by the data inquiry module before submitting and returning the data to the service logic layer; and the data storage module is used for regularly backing up all data in the associated database and storing the data backup into a single storage medium.
4. A system for monitoring grid event responses according to claim 3,
the data verification comprises foreground verification or/and background verification;
the foreground verified content includes: data type, data length, whether padding is necessary, data format or/and business rules;
the contents of the background verification comprise: user rights, data type, data length, whether padding is necessary, data format, and/or business rules.
5. A system for monitoring grid event responses as claimed in claim 1,
the alarm information of the alarm monitoring module for real-time monitoring comprises: accident total information, various protection and safety automatic device action outlet information, switch abnormal displacement information, primary and secondary equipment abnormal alarm information and automation and communication equipment alarm information;
the operation data of the alarm monitoring module for real-time monitoring comprises the following steps: line current, line voltage, section tide, circuit breaker position, isolation and grounding switch position information and secondary equipment position state information.
6. A system for monitoring grid event responses according to claim 5,
the alarm analysis module analyzes the power grid alarm information based on a semantic recognition algorithm to extract power grid events, and the method comprises the following steps: firstly, carrying out data cleaning pretreatment and data integration pretreatment on the real-time monitored alarm information and the operation data; dividing the preprocessed alarm information and operation data according to the electrical equipment interval, and dividing the alarm information and the operation data in the same electrical equipment interval together; then, fusing different types of alarm information and operation data in the same electrical equipment interval through a multi-source data fusion algorithm to obtain fusion data of the electrical equipment interval; and (5) transmitting the fusion data serving as input data to a trained deep neural network model, and calculating by the model to extract the power grid event.
7. A system for monitoring grid event responses as claimed in claim 1,
the alarm synthesis module is used for carrying out keyword recognition on the alarm information of the electrical equipment corresponding to the power grid event based on an alarm information knowledge base; judging and synthesizing a plurality of alarm information of the electrical equipment based on an event synthesis rule according to the identified keywords to obtain alarm information after the event synthesis; the event synthesis rule comprises a single electrical equipment alarm synthesis rule and a plurality of electrical equipment alarm association rule;
and the alarm synthesis module is also used for reading the event characteristic information of the electrical equipment corresponding to the power grid event one by one and combining the event characteristic information and the alarm information synthesized by the event into logic processing data.
8. A system for monitoring grid event responses according to claim 7,
the event characteristic information of a certain device corresponding to the power grid event comprises: the account attribute, the affected user range, the number of power failures within 62 days, and the number of power failures of the affected distribution transformer.
9. A system for monitoring grid event responses according to claim 7,
the data structure of the logic processing data is in a tree structure and mainly comprises: the root node is the power grid event information, the leaf nodes under the root node are the names of all the devices, and the branches under the names of all the devices are the alarm information and the characteristic information of all the devices.
10. A system for monitoring grid event responses according to claim 9,
the intelligent assistant decision module analyzes the logic processing data and comprises the following steps: extracting an equipment name, equipment fault information and a power grid operation mode after fault from logic processing data by a natural language processing technology; calling parameter information, historical fault information and historical overhaul information of the equipment according to the equipment name; analyzing parameter information, historical fault information and historical maintenance information of equipment by a knowledge map method, calculating specific power failure equipment and power failure reasons, and providing auxiliary decision information for professionals related to a power grid; based on the location of the distribution transformer in the logic processed data, grid event location information is sent to system users.
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