1. A centralized control station equipment monitoring system based on intelligent event processing is characterized by comprising an information acquisition module, a fault knowledge base, a state analysis module and an event processing module;

the information acquisition module acquires power grid monitoring data in real time;

the fault knowledge base stores information parameters related to equipment and measures for disposing the equipment under the corresponding information parameters;

the state analysis module analyzes and judges the data acquired by the information acquisition module according to the information parameters stored in the fault knowledge base and generates an event handling plan for the equipment;

the event processing module handles according to an event handling plan.

2. The monitoring system of claim 1, wherein the fault knowledge base storage information parameters include grid increase and crossing, power flow transfer, voltage change, equipment parameters, equipment history fault, equipment defect information, abnormal signal condition, risk notice, operation mode adjustment notice, weather condition, three-span information, and live working, and the handling measures include equipment abnormality handling measures and equipment fault handling measures.

3. The centralized control station equipment monitoring system according to claim 2, wherein the event handling plan includes abnormal event handling and fault event handling, and the abnormal event handling includes displaying corresponding equipment abnormal handling measures in the fault knowledge base, displaying all information of the abnormal events, displaying abnormal equipment positions and wiring relationships, and displaying video monitoring pictures when abnormality occurs; the fault event handling comprises displaying corresponding equipment fault handling measures in a fault knowledge base, displaying fault task overview and conditions, generating a man-machine interaction fault handling page, sending a fault notification and generating a fault report.

4. The monitoring system of claim 1, wherein the event processing module includes a display module, a notification module, and an interaction module, the display module displays fault-related information, treatment plans, and treatment progress of the faulty devices, the notification module performs event notification on the faulty events to the communication devices, and the interaction module is configured to perform human-machine information interaction.

5. The centralized control station equipment monitoring system of claim 4, wherein the fault-associated information includes equipment fault characteristics, protection action conditions, fault ranging, outside weather, fault handling process information, field reporting information.

6. The centralized control station equipment monitoring system of claim 1, wherein the state analysis module performs online static security analysis and vulnerability analysis on faulty equipment according to real-time power grid data to indicate a power grid operation dangerous link; and carrying out safety constraint scheduling, sensitivity analysis and load transfer analysis on the fault equipment, generating fault handling measures, and providing power grid regulation and control measures under the condition of equipment fault.

7. The centralized control station equipment monitoring system of claim 1, wherein the acquisition of the equipment information parameters in the fault knowledge base includes real-time collection of grid measurement data, on-line operation and analysis data, equipment ledger and scheduling operation logs, and grid operation rules by the scheduling control system, the OMS system, and the meteorological environment system.

8. A control method of the centralized control station equipment monitoring system according to any one of claims 1 to 7, characterized by comprising the following steps:

(1) constructing a fault knowledge base according to historical power grid data, equipment information parameters and disposal measures;

(2) acquiring real-time monitoring data of a power grid;

(3) analyzing the monitoring data according to a fault knowledge base, and judging the types of events of the equipment, including equipment abnormity and equipment faults;

(4) generating an event handling plan according to the event type: if the equipment is abnormal, generating a flow for handling the abnormal event, and if the equipment is in failure, generating a flow for handling the failure event;

(5) and according to the event handling plan, handling the event generated by the equipment.

9. The control method according to claim 8, wherein the flow of exception event handling in step (4) includes the following:

(4.1.1) associating the disposal measures in the fault knowledge base and displaying a disposal flow;

(4.1.2) displaying all information of the abnormal events;

(4.1.3) displaying the geographical position and the wiring relation of the abnormal equipment;

and (4.1.4) displaying a video monitoring picture at the abnormal equipment.

10. The control method according to claim 8, wherein the flow of fault event handling in step (4) comprises the following:

(4.2.1) associating the disposal measures in the fault knowledge base and displaying a disposal flow;

(4.2.2) displaying the fault task overview condition, including fault information and handling progress;

and (4.2.3) generating a man-machine interaction fault handling page, and displaying fault handling details and fault detailed information on the fault handling page.

(4.2.4) sending an event notice to the communication equipment according to the fault detailed information;

(4.2.5) acquiring treatment information of the fault equipment during field operation and maintenance and overhaul;

(4.2.6) storing the historical disposition procedure of the event and generating a presentation page of human-machine interactions.

Background

With the continuous improvement of the intelligent level of the power grid, the gradual progress of the integrated processes of regulation, control, supervision, transportation and inspection of the power grid system is promoted, the quantity of the transformer substations and the power grid equipment which are connected to the regulation and control mechanism to realize the centralized monitoring is continuously increased, and the quantity of the alarm information of the centralized monitoring system is correspondingly continuously increased. In the face of massive power grid operation alarm information, decision support functions such as centralized monitoring application, comprehensive intelligent alarm and the like are designed and realized in the conventional intelligent power grid dispatching control system, and technical support is provided for power grid dispatching fault judgment and handling and equipment monitoring operation. However, the following problems still exist in the aspect of grid smart event handling in the prior art: 1. the monitoring system and the management system are in different safety partitions, delay exists from the monitoring to the management and disposal of abnormity after abnormity is monitored, and monitoring services cannot smoothly circulate; 2. the power grid fault type judgment and handling process has no correlation analysis, depends on manual handling experience, lacks of standardized handling processes aiming at different event types, and different operators have different opinions in experience, so that omission and misjudgment of power grid system abnormity are easily caused.

Disclosure of Invention

The purpose of the invention is as follows: in view of the above disadvantages, the present invention provides a centralized control station equipment monitoring system based on intelligent event processing, which converts the behavior experience of repeated monitoring, analysis and judgment into a standardized handling process of intelligent events by analyzing the information of the model, data, monitoring signals, etc. of the system, and visually displays the process to the monitor.

The invention also provides a control method of the centralized control station equipment monitoring system based on the intelligent event processing.

The technical scheme is as follows: in order to solve the problems, the invention adopts a centralized control station equipment monitoring system based on intelligent event processing, which comprises an information acquisition module, a fault knowledge base, a state analysis module and an event processing module;

the information acquisition module acquires power grid monitoring data in real time;

the fault knowledge base stores information parameters related to equipment and measures for disposing the equipment under the corresponding information parameters;

the state analysis module analyzes and judges the data acquired by the information acquisition module according to the information parameters stored in the fault knowledge base and generates an event handling plan for the equipment;

the event processing module handles according to an event handling plan.

Has the advantages that: compared with the prior art, the centralized control station equipment monitoring system has the remarkable advantages that event handling measures obtained according to behavior experiences are stored in the fault knowledge base of the centralized control station equipment monitoring system, operators handle the power grid events according to the standardized handling process of the stored event handling measures, the intelligent level of the whole process of handling the power grid events is improved, the efficiency and the correctness of handling the power grid events are improved, and the fault handling pressure of dispatchers is reduced.

Further, the fault knowledge base storage information parameters comprise power grid new increasing out-of-limit, power flow transfer, voltage change, equipment parameters, equipment historical faults, equipment defect information, abnormal signal conditions, risk notification books, operation mode adjustment notification, weather conditions, three-span information and live working, and the disposal measures comprise equipment abnormal disposal measures and equipment fault disposal measures.

Further, the event handling plan comprises abnormal event handling and fault event handling, and the abnormal event handling comprises displaying corresponding equipment abnormal handling measures in a fault knowledge base, displaying all information of abnormal events, displaying abnormal equipment positions and wiring relations, and displaying video monitoring pictures when abnormality occurs; the fault event handling comprises displaying corresponding equipment fault handling measures in a fault knowledge base, displaying fault task overview and conditions, generating a man-machine interaction fault handling page, sending a fault notification and generating a fault report.

Further, the event processing module comprises a display module, a notification module and an interaction module, the display module displays fault associated information, a disposal plan and a processing progress of the fault equipment, the notification module performs event notification on the fault event to the communication equipment, and the interaction module is used for man-machine information interaction.

Further, the fault associated information includes device fault characteristics, protection action conditions, fault location, external weather, fault handling process information, and field report information.

Further, the state analysis module performs online static safety analysis and weak point analysis on the fault equipment according to the real-time power grid data to indicate a power grid operation dangerous link; and carrying out safety constraint scheduling, sensitivity analysis and load transfer analysis on the fault equipment, generating fault handling measures, and providing power grid regulation and control measures under the condition of equipment fault.

Furthermore, the equipment information parameters in the fault knowledge base are acquired through a scheduling control system, an OMS system and a meteorological environment system to acquire measurement data, online operation and analysis data, equipment ledger and scheduling operation logs and power grid operation regulations of the power grid in real time.

The control method of the centralized control station equipment monitoring system based on the intelligent event processing, provided by the invention, comprises the following steps of:

(1) constructing a fault knowledge base according to historical power grid data, equipment information parameters and disposal measures;

(2) acquiring real-time monitoring data of a power grid;

(3) analyzing the monitoring data according to a fault knowledge base, and judging the types of events of the equipment, including equipment abnormity and equipment faults;

(4) generating an event handling plan according to the event type: if the equipment is abnormal, generating a flow for handling the abnormal event, and if the equipment is in failure, generating a flow for handling the failure event;

(5) and according to the event handling plan, handling the event generated by the equipment.

Further, the flow of exception event handling in step (4) includes the following:

(4.1.1) associating the disposal measures in the fault knowledge base and displaying a disposal flow;

(4.1.2) displaying all information of the abnormal events;

(4.1.3) displaying the geographical position and the wiring relation of the abnormal equipment;

and (4.1.4) displaying a video monitoring picture at the abnormal equipment.

Further, the flow of fault event handling in step (4) includes the following:

(4.2.1) associating the disposal measures in the fault knowledge base and displaying a disposal flow;

(4.2.2) displaying the fault task overview condition, including fault information and handling progress;

and (4.2.3) generating a man-machine interaction fault handling page, and displaying fault handling details and fault detailed information on the fault handling page.

(4.2.4) sending an event notice to the communication equipment according to the fault detailed information;

(4.2.5) acquiring treatment information of the fault equipment during field operation and maintenance and overhaul;

(4.2.6) storing the historical disposition procedure of the event and generating a presentation page of human-machine interactions.

Drawings

FIG. 1 is a block diagram of the overall structure of the monitoring system of the central control station equipment of the present invention;

FIG. 2 is a hardware block diagram of the monitoring system of the central control station device according to the present invention;

FIG. 3 is a flow chart of knowledge-graph-based construction of a fault knowledge base in the present invention;

FIGS. 4 and 5 are flow charts illustrating event handling according to the present invention;

fig. 6 is a schematic diagram illustrating the handling of a fault event in the present invention.

Detailed Description

Example one

As shown in fig. 1 and fig. 2, in the centralized control station device monitoring system based on intelligent event processing in this embodiment, based on the existing centralized control station device monitoring system, function expansion of intelligent event handling is performed at a system application layer and an intelligent interaction layer. The information acquisition is realized through the existing centralized control station equipment monitoring system, the power grid monitoring data are acquired in real time based on the integrated basic platform of the centralized control station equipment monitoring system, and the model data and the monitoring data monitored by the power grid are gathered. The model, data and monitoring signals used by the existing centralized control station equipment monitoring system are accurate, reliable and free of time delay, the intelligent event handling behavior is guaranteed to be correct and timely, and the timeliness of the centralized control station equipment monitoring system for intelligently handling the power grid events is effectively improved.

As shown in fig. 3, a fault knowledge base is constructed by using a knowledge graph technology, fault equipment associated information distributed in a plurality of systems is automatically extracted, collected and associated through an existing centralized control station equipment monitoring system, and the fault equipment associated information comprises data such as measurement data, online operation and analysis data, equipment ledger and scheduling operation logs, and power grid operation procedure documents of a power grid from a power grid operation service system or an external system such as a scheduling control system, an OMS system and a meteorological environment system, and the construction of the power grid fault knowledge base is realized by using an artificial intelligence technology such as the knowledge graph technology and combining with an electric power system analysis technology. In this embodiment, the device information parameters are acquired mainly by using technologies such as natural language processing and structured extraction, the acquired information parameters include power grid new increase and crossing, power flow transfer, voltage change, device parameters, device historical faults, device defect information, abnormal signal conditions, risk notification, operation mode adjustment notification, weather conditions, three-span information, live working and the like, knowledge extraction is performed on related structured and unstructured regulation and control data during power grid faults, handling measures of the events at the time are associated, a fault association knowledge graph is constructed, a fault knowledge base is formed, efficient data support is provided for information query, application analysis, decision inference, comprehensive display and the like of power grid fault handling, and comprehensive and targeted information reference is provided for handling of the device faults.

In the embodiment, a state analysis module of the centralized control station equipment monitoring system based on intelligent event processing comprehensively studies and judges information according to a knowledge model of a fault knowledge base, and mainly automatically performs online static safety analysis and weak point analysis on current fault equipment according to currently acquired data such as a power grid operation mode and the like, gives information of a fault rear mode, and points out a power grid operation dangerous link; and based on safety constraint scheduling, sensitivity analysis, load transfer analysis and the like, power grid regulation and control measures under the condition of equipment failure are given; the method comprises the steps of reminding power grid operation risk points such as equipment defects, identified power grid weak links and the like existing under the fault condition, automatically analyzing and calculating a power grid fault after expected faults of the risk points, automatically reminding dangerous links after the faults, further generating corresponding fault handling plan measures according to stored data of a fault knowledge base, wherein the corresponding fault handling plan measures comprise equipment abnormity handling measures when the equipment is abnormal and equipment fault handling measures when the equipment is in fault, and making sufficient preparation for a dispatcher to deal with power grid risk evolution into sudden faults under the current fault.

As shown in fig. 4, a knowledge model of a power grid device exception and fault handling process is built in a state analysis module, an event handling process is started by triggering knowledge matching through an accident event, and an exception handling process and a fault event handling process can be respectively formed according to different fault types, where the exception handling includes displaying corresponding device exception handling measures in a fault knowledge base, displaying all information of an exception event, displaying an exception device position and a wiring relation, and displaying a video monitoring picture when an exception occurs. The fault event handling includes displaying corresponding equipment fault handling measures in a fault knowledge base, displaying a fault task overview and conditions, generating a fault handling page capable of interacting, sending a fault notification, and generating a fault report. The event handling plan constructed by the state analysis module automatically guides a dispatcher to quickly handle the real-time fault according to the priority, so that the fault handling efficiency is improved, and the stable operation of the power grid after the fault is ensured. And in combination with different business requirements, the repeated and procedural fault handling experience is converted into a standardized thinking mode, and standardized data is output and displayed, so that the informatization auxiliary function of the monitoring system is strengthened.

The event processing module comprises a display module, a notification module and an interaction module, event handling is carried out according to an event handling plan started by the state analysis module, comprehensive display of the event processing module is mainly deployed in a safe IV area, and the processing method assists a user to complete a handling process better and more conveniently by combining technologies such as artificial intelligence and intelligent voice interaction. The guide type interaction in the event processing module is mainly to enter corresponding business scenes according to different processing flows, visually display the corresponding event processing flows through an integrated seat, guide a monitor to finish event standardized processing, and effectively prevent the occurrence of artificial omission and misjudgment. The treatment work is actively or assisted and guided by a guide type interaction mode, the information interaction and verification work of a monitor and field operating personnel during treatment is supported, meanwhile, the comprehensive information is automatically collected, and the panoramic data of the event is displayed by adopting a visualization means.

Example two

In this embodiment, a control method for a centralized control station device monitoring system based on intelligent event processing includes the following steps:

(1) automatically extracting, collecting and associating fault equipment association information distributed in a plurality of systems by using a knowledge map technology, and realizing the construction of a fault knowledge base which stores treatment measures when the equipment is abnormal or has faults;

(2) acquiring real-time monitoring data of a power grid through a centralized control station equipment monitoring system;

(3) analyzing the monitoring data according to a fault knowledge base, wherein the analysis comprises online static security analysis, weak point analysis and the like, judging the type of an event occurring in equipment, and judging whether the equipment is abnormal or has a fault;

(4) generating a corresponding event handling plan according to the event type: if the equipment is abnormal, generating a flow for handling the abnormal event, and if the equipment is in failure, generating a flow for handling the failure event;

(5) and according to the event handling plan, handling the event generated by the equipment.

The exception handling mainly comprises the following contents:

(4.1.1) automatically associating the abnormal event content with equipment abnormal handling measures in the fault knowledge base, and displaying a handling process;

(4.1.2) displaying all information of the abnormal events, including basic event attributes, event process warning information, historical defect records of the abnormal transformer substation, abnormal handling strategies, abnormal handling task progress, abnormal handling whole process records and the like;

(4.1.3) displaying the geographical position of abnormal equipment (such as a transformer substation) and the wiring relation of the upper and lower levels thereof by combining a GIS map;

and (4.1.4) butting a video monitoring system, and displaying a video monitoring picture when an abnormal equipment accident occurs.

As shown in fig. 5, the failure event handling includes the following:

(4.2.1) associating the content of the fault event with equipment fault handling measures in a fault knowledge base, and displaying a handling process;

(4.2.2) displaying fault task overview conditions, including fault information and treatment progress, wherein fault equipment association information includes equipment fault characteristics, protection action conditions, fault distance measurement, external weather, fault treatment process information and field report information;

and (4.2.3) generating a man-machine interaction fault handling page, clicking the specific fault information in the step (4.2.2) to enter the fault handling page, and displaying fault handling details and fault detailed information on the fault handling page, wherein the fault handling page comprises defect filling, on-duty log recording, short message sending (the content of the short message comprises real-time remote signaling alarm, remote monitoring, equipment ledger, equipment historical overhaul information and field working conditions), telephone notification, mobile operation terminal information pushing and the like.

(4.2.4) after manually confirming the equipment fault event, sending an event notification in the modes of telephone, short message, mobile operation terminal and the like according to the fault detail information, wherein the sent event notification information is accompanied with a fault report automatic generation function;

(4.2.5) finishing information interaction of a monitor and field operation personnel through a voice intelligent interaction function of the centralized control station equipment monitoring system, interconnecting with data of a mobile operation terminal, and automatically acquiring disposal information of the fault equipment during field operation and maintenance and overhaul;

(4.2.6) storing the history processing process of the event, automatically generating a fault initial log record comprising fault associated information such as actual equipment fault characteristics, protection action conditions, fault distance measurement, external weather, fault processing process information, field report information and the like, generating a human-computer interaction display interface, displaying the history processing process of the event by the human-computer interaction display interface, and supporting the human-computer interaction to perform a subsequent processing flow.

Based on the historical disposal process and disposal flow information of the event, which are provided by intelligent event disposal, an abnormal event disposal scene and a fault event disposal scene are designed through an integrated seat visual interface, so that the integrated display of each service system of the centralized control station is realized, the original information of the event in each service system is convenient to retrieve, and the visual disposal flow is completed in the corresponding scene.