CN111382564B - Network topology-based power grid monitoring alarm event analysis and pushing method - Google Patents
Network topology-based power grid monitoring alarm event analysis and pushing method Download PDFInfo
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Abstract
The invention relates to a network topology-based power grid monitoring alarm event analysis and pushing method, which is technically characterized by comprising the following steps of: automatically collecting monitoring alarm data and summarizing the monitoring alarm data to a master station side in real time through a communication network, and automatically detecting newly-generated alarm equipment and alarm signals by a system; acquiring an alarm signal set of an associated equipment node; establishing a power grid monitoring event analysis model library, inputting an alarm signal set into a monitoring event analysis model, and automatically aggregating and analyzing power grid event information; and automatically sending the power grid event information to the user terminal according to the preset authority and user customization. The intelligent push system is reasonable in design, adopts a natural language processing technology and a big data analysis algorithm, realizes the active accurate personalized intelligent push function for regulating and controlling and running mass data information to be oriented to post responsibilities and self-customization, has the characteristics of strong instantaneity, accuracy, reliability, convenience in use and the like, and improves man-machine interaction experience and information acquisition efficiency.
Description
Technical Field
The invention belongs to the technical field of power grid monitoring, and particularly relates to a power grid monitoring alarm event analysis and pushing method based on network topology.
Background
With the deep promotion and regulation integration of the construction of the large operation of the power grid, the monitoring information in the power system is more and more approaching to a simplified mode. At present, the monitoring data information in the power system usually needs to be manually and actively searched and obtained, and the problems are that: (1) easy omission and low efficiency; (2) Lack of data information association clusters indexed by operational events; (3) The lack of an active push instant reminding mechanism for operation information and business flow results in that monitoring personnel cannot acquire alarm information in time.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a power grid monitoring alarm event analysis and pushing method which is reasonable in design, strong in instantaneity, high in efficiency, accurate and reliable and is based on network topology.
The invention solves the technical problems by adopting the following technical scheme:
a network topology-based power grid monitoring alarm event analysis and pushing method comprises the following steps:
step 1, a field device sensor automatically collects monitoring alarm data and gathers the monitoring alarm data to a master station side in real time through a communication network, and a system automatically detects newly-generated alarm devices and alarm signals;
step 2, searching associated equipment nodes of the alarm equipment on the power grid network topology according to the electrical connection relation, and acquiring an alarm signal set of the associated equipment nodes;
step 3, establishing a power grid monitoring event analysis model library, inputting an alarm signal set into a monitoring event analysis model, and automatically aggregating and analyzing power grid event information;
and 4, automatically sending the power grid event information to the user terminal according to the preset authority and user customization.
Further, the step 1 adopts a method of polling and monitoring the multi-source data change by a service program to automatically detect newly generated alarm equipment and alarm signals, including but not limited to databases, interfaces, service buses and file services, and judges whether the new alarm signals occur or not through time stamps or time fields.
Further, the specific implementation method of the step 2 includes the following steps:
analyzing equipment node identification and signal description according to alarm signals, and extracting equipment information related to main transformers, switches and disconnecting links on network topology nodes in a full-power-grid CIME model;
secondly, acquiring a monitoring alarm deflection signal and a remote measured value sent by the related electrical equipment;
performing grammar inference and syntax analysis on each monitoring alarm signal based on a natural language processing technology, sorting the monitoring alarm signals according to a standard signal list and a signal list to be matched under the condition that key characteristic point voltage levels and equipment types are met, screening invalid information, and performing normalization treatment on nonstandard or nonstandard data;
and fourthly, confirming the real electrified condition and the operation state of the electrical equipment at the analysis time point based on the equipment state and the operation measurement value, and forming an alarm signal set of the related equipment node.
Further, the natural language processing technology in the steps performs grammar inference and syntactic analysis on the structured and unstructured data through machine learning to obtain text meanings which can be understood by a computer.
Further, the steps are characterized in that the steps are ordered according to the similarity, and the priority of the steps is given to the priority of the steps by the information with high reliability.
Further, the specific implementation method of the step 3 includes the following steps:
establishing an analysis model library of various standard events, and perfecting an event model based on historical operation data;
secondly, through analyzing the generation source of the signals, information clusters taking the nodes as centers are established, and push data service groups taking all the nodes as centers are established;
the method comprises the steps of acquiring data corresponding to a certain data source from a certain data service in a push data service group, extracting the whole process of occurrence, development and result of various events, and forming standard event information.
Further, the information clusters include device type information, digital class information, and sequence number class information.
Furthermore, the step is to establish analysis model libraries of various standard events according to different power grid wiring/running modes, protection action rules and analysis and learning methods of historical data.
Further, the specific implementation method of the step 4 includes the following steps:
the method comprises the steps of obtaining preset permission and user customization of a user, portrait of the user and post conditions of the user, and forming pushing modes of real-time recommendation, system recommendation, timing pushing and client calling;
and secondly, automatically pushing the event information to the user terminal according to the preset authority and user customization of the user, the user portrait, the user post condition and the pushing mode.
The invention has the advantages and positive effects that:
the intelligent power grid monitoring alarm system is reasonable in design, adopts a natural language processing technology and a big data analysis algorithm to perform grammar inference and semantic analysis on the power grid monitoring alarm structured and unstructured data, constructs a knowledge graph of each post of each specialty, performs excavation, classification screening extraction and automatic aggregation based on events on massive information, realizes the active accurate personalized intelligent pushing function of regulating and controlling the massive data information to face the post responsibilities and customizing, can achieve the effects of thousands of people and information searching, has the characteristics of strong instantaneity, accuracy, reliability, convenience in use and the like, and improves the man-machine interaction experience and the information acquisition efficiency.
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Fig. 1 is a process flow diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
A network topology-based power grid monitoring alarm event analysis and pushing method, as shown in figure 1, comprises the following steps:
and step 1, automatically collecting monitoring alarm data by a field device sensor, and collecting the monitoring alarm data to a master station side in real time through a communication network to automatically detect newly-generated alarm devices and alarm signals.
In this step, the system automatically detects newly generated alarm devices and alarm signals, and performs polling monitoring on multi-source data changes through a service program, including but not limited to databases, interfaces, service buses, file services, and judges whether new alarm signals occur through time stamps or time fields.
And 2, searching associated equipment nodes of the alarm equipment on the power grid network topology according to the electrical connection relation, and acquiring an alarm signal set of the associated equipment nodes.
The specific implementation method of the steps is as follows:
(1) Analyzing equipment node identification and signal description according to the alarm signals, and extracting equipment information related to main transformers, switches and disconnecting links on network topology nodes in a full-power-grid CIME model;
(2) Acquiring monitoring alarm deflection signals (namely the opening/closing state of a breaker or a disconnecting switch) sent by related electrical equipment and remote measured values (such as current and voltage values);
(3) Based on Natural Language Processing (NLP) technology, performing grammar inference and syntax analysis on each monitoring alarm signal, and aiming at a standard signal list and a signal list to be matched, ordering according to similarity (reliability) under the condition of meeting the voltage level and the equipment type of key feature points, wherein the information with high reliability is the priority preemption place. Screening invalid information, and carrying out normalization treatment on nonstandard/nonstandard data;
(4) And confirming the real electrified condition and the operation state of the electrical equipment at the analysis time point based on the equipment state and the operation measurement value, and forming an alarm signal set of the related equipment node.
Among them, natural Language Processing (NLP) is the process of performing grammar inference and syntactic analysis on structured and unstructured data through machine learning into text meaning that can be understood by a computer.
Step 3, aiming at different power grid wiring/running modes and protection action rules, establishing a power grid monitoring event analysis model library through analysis and learning of historical data; and inputting the alarm signal set into a monitoring event analysis model, and automatically aggregating and analyzing the power grid event information.
The specific implementation method of the steps is as follows:
(1) Establishing an analysis model library of various standard events, and perfecting an event model based on historical operation data;
(2) By analyzing the generation source of the signals, establishing information clusters centered on the nodes, and establishing push data service groups centered on each node, wherein the push data service groups comprise equipment type information, digital type information and serial number type information;
(3) And acquiring data corresponding to a certain data source from a certain data service in the push data service group, and extracting the whole process of occurrence, development and results of various events to form standard event information.
And 4, automatically sending the event information to the user terminal according to the preset authority and user customization.
The specific implementation method of the step comprises the following steps:
(1) Acquiring preset authority and user customization, user portrait and user post conditions of a user, and forming a pushing mode of real-time recommendation, system recommendation, timing pushing and client calling;
(2) And automatically pushing the event information to the user terminal according to the preset authority and user customization of the user, the user portrait, the user post condition and the pushing mode.
Through the steps, the network topology-based power grid monitoring alarm event analysis and pushing functions are realized.
It should be emphasized that the examples described herein are illustrative rather than limiting, and therefore the invention includes, but is not limited to, the examples described in the detailed description, as other embodiments derived from the technical solutions of the invention by a person skilled in the art are equally within the scope of the invention.
Claims (6)
1. A network topology-based power grid monitoring alarm event analysis and pushing method is characterized in that: the method comprises the following steps:
step 1, a field device sensor automatically collects monitoring alarm data and gathers the monitoring alarm data to a master station side in real time through a communication network, and a system automatically detects newly-generated alarm devices and alarm signals;
step 2, searching associated equipment nodes of the alarm equipment on the power grid network topology according to the electrical connection relation, and acquiring an alarm signal set of the associated equipment nodes;
step 3, establishing a power grid monitoring event analysis model library, inputting an alarm signal set into a monitoring event analysis model, and automatically aggregating and analyzing power grid event information;
step 4, according to preset authority and user customization, automatically sending the power grid event information to a user terminal;
the specific implementation method of the step 2 comprises the following steps:
step 2.1, analyzing equipment node identification and signal description according to the alarm signal, and extracting main transformer, switch and disconnecting link associated equipment information on a network topology node in a full-power-grid CIME model;
step 2.2, obtaining a monitoring alarm deflection signal and a remote measured value sent by the related electrical equipment;
step 2.3, performing grammar inference and syntax analysis on each monitoring alarm signal based on a natural language processing technology, sorting the standard signal list and the signal list to be matched under the condition of meeting the voltage level and the equipment type of key feature points, screening out invalid information, and performing normalization treatment on nonstandard or nonstandard data;
step 2.4, confirming the real electrification condition and the operation state of the electrical equipment at the analysis time point based on the equipment state and the operation measurement value, and forming an alarm signal set of the related equipment node;
the specific implementation method of the step 3 comprises the following steps:
step 3.1, establishing an analysis model base of various standard events, and perfecting an event model based on historical operation data;
step 3.2, by analyzing the generation source of the signals, establishing information clusters centering on the nodes, and establishing a push data service group centering on each node;
step 3.3, pushing a certain data service in the data service group to acquire data corresponding to a certain data source, and extracting the whole process of occurrence, development and results of various events to form standard event information;
the specific implementation method of the step 4 comprises the following steps:
step 4.1, acquiring preset authority and user customization of a user, and user portrait and user post conditions, and forming a pushing mode of real-time recommendation, system recommendation, timing pushing and client calling;
and 4.2, automatically pushing the event information to the user terminal according to the preset authority and user customization of the user, the user portrait, the user post condition and the pushing mode.
2. The network topology-based power grid monitoring alarm eventing analysis and pushing method according to claim 1, wherein the method comprises the following steps: and step 1, automatically detecting newly generated alarm equipment and alarm signals by a system by adopting a method for carrying out polling monitoring on multi-source data change by a service program, wherein the newly generated alarm equipment and alarm signals comprise but are not limited to databases, interfaces, service buses and file services, and judging whether new alarm signals occur or not through time stamps or time fields.
3. The network topology-based power grid monitoring alarm eventing analysis and pushing method according to claim 1, wherein the method comprises the following steps: the natural language processing technique in step 2.3 performs grammar inference and syntactic analysis on the structured and unstructured data through machine learning to obtain text meaning which can be understood by a computer.
4. The network topology-based power grid monitoring alarm eventing analysis and pushing method according to claim 1, wherein the method comprises the following steps: and step 2.3, sorting according to the similarity, and optimally preempting the position by using the information with high reliability.
5. The network topology-based power grid monitoring alarm eventing analysis and pushing method according to claim 1, wherein the method comprises the following steps: the information clusters include device type information, digital class information, and sequence number class information.
6. The network topology-based power grid monitoring alarm eventing analysis and pushing method according to claim 1, wherein the method comprises the following steps: and 3.1, establishing an analysis model library of various standard events according to different power grid wiring/running modes, protection action rules and analysis and learning methods of historical data.
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