CN112712343B - Multidimensional information linkage monitoring system and method based on data cube model - Google Patents
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Abstract
The multidimensional information linkage monitoring system comprises an online computing module, an information interaction module, a metadata storage module, a metadata query module, an original data management module and a time-driven power grid operation situation analysis tool module, wherein the online computing module is used for providing independent online analysis; the information interaction module is used for transmitting and distributing information; the metadata storage module is used for subscribing metadata; the metadata query module is used for receiving metadata query request information; the original data management module is used for data storage and query access; and the time-driven-based power grid operation situation analysis tool module is used for subscribing or requesting metadata. According to the method, the real-time running situation of the power grid and the influence degree of the power grid accident are mastered through the visual expression mode, so that the operation analyst can make correct treatment decisions.
Description
Technical Field
The invention relates to the field of power system dispatching automation, in particular to a multidimensional information linkage monitoring system and method based on a data cube model.
Background
The power grid dispatching technical support system is positioned at each level of power grid dispatching control center, utilizes the steady state data, dynamic data and transient state data sent by power plants and substations in the dispatching jurisdiction to be received in real time, performs online calculation and analysis on various key indexes representing the operation characteristics of the power grid, displays the operation situation of the power grid in the modes of numerical value, table, curve, chart, contour line rendering and the like, realizes the comprehensive monitoring and analysis of the action behaviors of the power grid, and powerfully ensures the safe and stable operation of the power grid. With the change of a power grid structure and the introduction of a large number of power electronic equipment, the characteristics of the power grid become more and more complex, and the traditional power grid monitoring function only relying on the data and analysis results of a certain time section cannot provide panoramic analysis on the fault process of the complex power grid, so that the method is not beneficial to dispatching operators to quickly locate the cause, influence degree and sweep range of the fault. Based on the high-density dynamic data of the whole-network unified time synchronization, the dynamic monitoring and analyzing function of the power grid dispatching technical support system provides continuous time sequence observation of the power grid action process, but the analysis result of the power grid characteristics is mainly stored only aiming at certain key time sections. In the power grid observation and fault analysis process, the power grid behavior research is carried out in a time sequence dynamic data curve display mode in a multi-emphasis mode, and comprehensive analysis and evaluation are not carried out by effectively combining dynamic analysis results based on time sequence data.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a multidimensional information linkage monitoring system and a method based on a data cube model, so that operation analysts in a power grid regulation center can fully utilize time-sequence multidimensional information linkage to monitor and identify the panoramic operation state of the power grid, quickly master the development process, the sweep range and the influence degree of a power grid event, facilitate the operators to conveniently and quickly make a correct disposal decision, and comprehensively evaluate the event characteristics and make an improvement scheme. In view of the above, the invention discloses a multidimensional information linkage monitoring system based on a data cube model.
The invention adopts the following technical scheme:
A multidimensional information linkage monitoring system based on a data cube model comprises an online calculation module, an information interaction module, a metadata storage module and an analysis tool module,
The online computing module is used for computing the operation index of the power grid to generate metadata at fixed time and issuing the metadata to the information interaction module at fixed time;
The information interaction module is used for receiving the metadata from the online computing module and forwarding the metadata to the metadata storage module, receiving a subscription and query request from the analysis tool module, and receiving the application result metadata from the metadata storage module and sending the application result metadata to the analysis tool module;
the metadata storage module is used for receiving the metadata issued by the online computing module and the subscription request from the analysis tool module through the information interaction module, generating and storing application result metadata by taking a time mark as an index, and sending the application result metadata to the analysis tool module through the information interaction module based on the subscription request; the metadata storage module circularly compresses and stores the metadata based on the types by taking the time marks as indexes as the metadata of the application result;
The analysis tool module is used for sending the subscription request of the application result metadata to the metadata storage module through the information interaction module, receiving the application result metadata from the metadata storage module through the information interaction module, and realizing the visualization of the data based on a data cube model.
The data cube model is a data model covering three dimensions of a power grid primary model, the application result type and the time scale.
The online computing module further includes:
the acquisition unit is used for acquiring the original data acquired by the power grid dispatching technical support system;
The modeling unit is used for forming an online computing object set according to the primary model of the power grid and analysis requirements;
The calculation unit is used for calculating the power grid operation index on line and in real time based on the on-line calculation object set, the original data and the set calculation period;
And the generating unit is used for generating metadata based on types at regular time based on the power grid operation index and issuing the metadata to the outside.
The power grid operation indexes calculated by the calculation unit are four types of power grid oscillation indexes, including ultralow frequency, low frequency 1, low frequency 2 and medium and high frequency,
Wherein, the ultra-low frequency is 0.02 Hz-0.1 Hz, the low frequency 1 is 0.1 Hz-0.5 Hz, the low frequency 2 is 0.5-2.5 Hz, and the medium-high frequency is 2.5 Hz-10 Hz;
the type-based metadata generated by the generating unit is type-divided based on an application result theme, and a time stamp corresponding to the metadata is included in the type-based metadata.
The multi-dimensional information linkage monitoring system further comprises a metadata query module and a raw data management module, wherein,
The metadata query module is used for receiving a metadata query request from the analysis tool module through the information interaction module, querying application result metadata based on the query request to obtain required metadata, and returning the required metadata to the analysis tool module through the information interaction module;
The original data management module is used for acquiring original acquired data, receiving an original data query request from the analysis tool module through the information interaction module, and returning the original acquired data to the analysis tool module through the information interaction module.
The analysis tool module further comprises:
the real-time analysis unit is used for analyzing the real-time operation condition of the power grid based on the received data and displaying the data in a multi-dimensional information linkage monitoring page of the power grid based on a data cube model;
The offline analysis unit is used for analyzing offline operation conditions of the power grid based on the received data and displaying the data in the page based on the data cube model;
And the event analysis unit is used for screening the data corresponding to the power grid event based on the power grid event and displaying the data in the page based on the data cube model.
The power grid multidimensional information linkage monitoring page comprises a display plug-in for displaying multidimensional data, and the display plug-in comprises a waterfall diagram, a phasor diagram, a table and contour line rendering based on a power grid geographic wiring diagram.
The real-time analysis unit is further configured to:
Driving a power grid operation situation analysis tool to enter a power grid real-time operation condition monitoring state;
processing the received application result metadata, the required metadata and the original acquired data into multidimensional information based on a data cube model;
displaying the multidimensional information in the page by adopting the set observation window duration and the set observation sliding step length;
the display of the multi-dimensional information in the page is dynamically advanced based on the time stamp to update the page.
The off-line analysis unit is further configured to:
changing the observation time based on the user indication so as to display the multi-dimensional information based on the offline time scale in the observation window; and
And adjusting the duration of the observation window and the observation sliding step length based on the user instruction.
The event analysis unit is further configured to:
selecting the power grid event based on the user indication, and displaying the three-dimensional information in a linkage way based on the power grid event;
and displaying an event range and an event degree in the page based on the event parameters of the power grid event.
The multidimensional linkage monitoring method of the multidimensional information linkage monitoring system based on the data cube model is characterized by comprising the following steps of:
step 1, calculating an operation index of a power grid on line to generate metadata at fixed time and releasing the metadata at fixed time;
step 2, generating a subscription request of application result metadata;
Step 3, generating and storing application result metadata by taking a time mark as an index according to the metadata and the subscription request;
and 4, realizing the visualization of the data based on the application result metadata and a data cube model.
Compared with the prior art, the invention has the beneficial effects that:
According to the method, the computing results of different types of online monitoring analysis applications are subjected to induction classification to form a series of application result metadata representing the running state of the power grid, the application result metadata are issued outwards at regular time in a service mode, and the time section is used as an index for compression storage to form a data cube model covering three dimensions of the primary model of the power grid, the metadata of each type and the time sequence. And the method combines the steady-state data or dynamic data of the power grid, provides multi-dimensional information of the power grid from the original acquired data to the data cube model, adopts various display forms to carry out visual and concise expression, realizes the on-line and off-line monitoring analysis of the operation working condition of the power grid based on time driving, practically improves the event handling and analysis capability of dispatching operators of the power grid, and powerfully ensures the safe and stable operation of the power grid.
Drawings
FIG. 1 is a block diagram of the main modules of a multi-dimensional information linkage monitoring system based on a data cube model;
FIG. 2 is a block diagram of all modules of a multi-dimensional information linkage monitoring system based on a data cube model;
FIG. 3 is a flow chart of a method for multi-dimensional information linkage monitoring based on a data cube model.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. The described embodiments of the application are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art without making any inventive effort, are within the scope of the present application.
FIG. 1 is a block diagram of a data cube model based multidimensional information linked monitoring system in accordance with an embodiment of the present invention.
A multidimensional information linkage monitoring framework based on a data cube model is characterized in that the framework is used for summarizing and classifying calculation results of different types of online monitoring analysis applications to form a series of application result metadata representing the running state of a power grid, the application result metadata are issued at regular time and outwards in a service mode, and a time section is used as an index for compression and storage to form the data cube model covering the three dimensions of the primary model of the power grid, the metadata of each type and the time sequence. And the power grid multi-dimensional information from the original collected data to the data cube model is provided by combining the power grid steady-state data or dynamic data, and visual and concise expression is carried out by adopting various display forms, so that the on-line and off-line monitoring analysis of the power grid operation working condition based on time driving is realized.
The multidimensional information linkage monitoring system based on the data cube model comprises an online calculation module, an information interaction module, a metadata storage module and an analysis tool module.
And the online calculation module is used for calculating the power grid operation index to generate metadata at fixed time and issuing the metadata to the information interaction module at fixed time.
The metadata, also called intermediate data and relay data, is data describing data, mainly describing data attribute information, and is used for supporting functions such as indicating storage location, historical data, resource searching, file recording and the like. Metadata is an electronic catalog, and in order to achieve the purpose of cataloging, the content or characteristics of data must be described and collected, so that the purpose of assisting in data retrieval is achieved.
The online computing module also comprises a plurality of online analysis services of the power grid indexes, which are used for providing different kinds of services for different types of power grid indexes so as to generate different types of metadata.
Preferably, the online computing service module further comprises: the modeling unit is used for forming an online computing object set according to the primary model of the power grid and analysis requirements; the acquisition unit is used for acquiring the original data acquired by the power grid dispatching technical support system; the computing unit is used for computing the power grid operation index on line in real time based on the on-line computing object set, the original data and the set computing period; and the generation unit is used for generating metadata based on types based on the grid operation index timing.
In one embodiment, the grid operation indexes may be four types of grid oscillation indexes, and according to different distribution frequency bands of oscillation frequencies, the grid oscillation indexes in the power system oscillation event may be divided into four types of ultra-low frequency (0.02 Hz-0.1 Hz), low frequency 1 (0.1 Hz-0.5 Hz), low frequency 2 (0.5-2.5 Hz) and medium-high frequency (2.5 Hz-10 Hz).
The type-based metadata is type-divided based on the application result theme, and the type-based metadata includes a time stamp corresponding thereto. The calculation period of the metadata may be 1 second, i.e., the metadata is marked at 1 second intervals.
And the information interaction module is used for receiving the metadata from the online calculation module and forwarding the metadata to the metadata storage module, and receiving the application result metadata from the metadata storage module and sending the application result metadata to the analysis tool module.
The information interaction module receives the application result metadata from the online calculation module, forwards the application result metadata to the metadata storage module, compresses and stores the metadata to a metadata storage file through the metadata storage module, receives a metadata query request from the analysis tool module, forwards the metadata query request to the metadata query module, receives an original acquisition data query request from the analysis tool module, forwards the original acquisition data query request to the original data management module, acquires the original acquisition data from the original acquisition data module, returns the queried original acquisition data to the information interaction module through the original data management module, receives the application result metadata and the original acquisition data subscription and query request from the analysis tool module, and returns the application result metadata and the original acquisition data to the analysis tool module through the information interaction module.
The metadata storage module is used for receiving metadata issued by the online computing module and subscription requests from the analysis tool module through the information interaction module, generating and storing application result metadata by taking the time marks as indexes, sending the application result metadata to the analysis tool module through the information interaction module based on the subscription requests, automatically subscribing metadata of various application result topics to be stored to the information interaction module when the metadata storage module is started, and directly and automatically pushing and forwarding the metadata to the metadata storage module without any processing after the information interaction module receives the metadata of the various application result topics.
Preferably, the metadata storage module is further configured to perform cyclic compression storage according to the type of the application result theme and with the time section as an index, so as to form a power grid application data cube model, which is a state of the power grid system at the taken moment, that is, a set of different types of data under the same time scale.
And the analysis tool module is used for sending a subscription request of the application result metadata to the metadata storage module through the information interaction module, receiving the application result metadata from the metadata storage module through the information interaction module and realizing data visualization based on the data cube model.
FIG. 2 is a block diagram of a data cube model based multidimensional information linked monitoring system in accordance with yet another embodiment of the present invention. As shown in fig. 2, the multidimensional information linkage monitoring system based on the data cube model further comprises a metadata query module and a raw data management module.
The metadata query module is used for receiving a metadata query request from the analysis tool module through the information interaction module, querying the application result metadata based on the query request to obtain the required metadata, and returning the required metadata to the analysis tool module through the information interaction module.
The original data management module is used for acquiring original acquired data, receiving an original data query request from the analysis tool module through the information interaction module, and returning the original acquired data to the analysis tool module through the information interaction module.
Preferably, the analysis tool module further comprises a real-time analysis unit, an offline analysis unit and an event analysis unit. The real-time analysis unit is used for analyzing the real-time operation condition of the power grid based on the received data and displaying the data in the power grid multidimensional information linkage monitoring page based on the data cube model. And the offline analysis unit is used for analyzing the offline operation condition of the power grid based on the received data and displaying the data in the page based on the data cube model. And the event analysis unit is used for screening data corresponding to the power grid event based on the power grid event and displaying the data in the page based on the data cube model.
The data cube model is a data model covering three dimensions of a power grid primary model, an application result type and a time scale.
Preferably, the real-time analysis unit is further used for driving a power grid operation situation analysis tool to enter a power grid real-time operation condition monitoring state; processing the received application result metadata, the required metadata and the original acquisition data into multidimensional information based on a data cube model; the display of the multi-dimensional information in the page is dynamically advanced based on the time stamp to update the page. And adopting the set observation window duration and the observation sliding step length, and regularly refreshing a power grid multidimensional information linkage monitoring page comprising a power grid-based geographical wiring diagram and a series of application result metadata display plug-ins in a time scale dynamic advancing mode, displaying the power grid running state, and realizing the panoramic observation power grid real-time running situation based on time driving.
In one embodiment, the observation window duration may be set to 2 minutes and the observation sliding step length may be set to 2 seconds. The observation window duration and the observation sliding step length can also be modified by a technician according to specific requirements.
Preferably, the offline analysis unit is further configured to change the observation time based on the user instruction, so as to display multidimensional information based on the offline time scale in the observation window; and adjusting the observation window duration and the observation sliding step length based on the user indication.
Preferably, the event analysis unit is further used for selecting a grid event based on the user indication and displaying multidimensional information based on the grid event in a linked manner; and displaying the event range and the event degree in the page based on the event parameters of the grid event.
The analysis tool module analyzes the power grid operation condition and comprises the following steps: running a power grid running situation analysis tool based on time driving, and entering a power grid real-time working condition monitoring state; subscribing application result theme metadata and original acquisition data to an information interaction module to form multidimensional information; and the set time length of the observation window and the observation sliding step length are adopted, and the multi-dimensional information linkage monitoring page of the power grid is updated in a time scale dynamic pushing mode.
The power grid multidimensional information linkage monitoring page comprises a display plug-in for displaying multidimensional data, and the display plug-in comprises a waterfall diagram, a phasor diagram, a table, contour line rendering based on a power grid geographic wiring diagram and the like.
In a second aspect of the invention, a multi-dimensional information linkage monitoring method based on a data cube model is provided.
Figure 3 is a flow chart of a multi-dimensional information linkage monitoring method based on a data cube model,
In an embodiment of the invention, the multidimensional information linkage monitoring system based on the data cube model operates on a power grid dispatching technical support system platform of a power grid dispatching control center, and can monitor and analyze the oscillation event of the power system. The real-time online identification and the post offline analysis are usually carried out on the oscillation event of the power system by using the phasor data with the equal interval of 25 frames/second or 50 frames/second collected by the dispatching control center, so that the oscillation event with the oscillation frequency below 10Hz is accurately analyzed. According to different distribution frequency bands of oscillation frequency, the oscillation events of the electric power system can be divided into four types of ultra-low frequency (0.02 Hz-0.1 Hz), low frequency 1 (0.1 Hz-0.5 Hz), low frequency 2 (0.5-2.5 Hz) and medium-high frequency (2.5 Hz-10 Hz).
The method specifically comprises the following steps:
step 1, an oscillation result metadata online calculation module forms an online calculation object set according to a primary power grid model and analysis requirements, acquires dynamic data acquired by a power grid dispatching technical support system, and calculates four types of power grid oscillation indexes online in real time with a period of 1 second;
Step 2, an information interaction module, a metadata storage module and an original data management module are operated, and metadata of various oscillation result topics to be stored are automatically subscribed to the information interaction module when the metadata storage module is started; when the 1 second computing period is reached, the oscillation result metadata online computing service generates metadata of an application result theme with a time mark, and the metadata is automatically released to the information interaction module through different types of oscillation result themes; after the information interaction module receives the metadata of the four types of oscillation result subjects, the metadata is directly and automatically pushed and forwarded to the metadata storage module without any processing;
Step 3, the metadata storage module carries out cyclic compression storage according to different oscillation result topics of the received metadata and according to the type of the application result topic and by taking a time mark contained in the metadata as an index, so as to form a power grid oscillation data cube model containing a power grid model, the application result metadata and three dimensions of a time sequence, and when the used storage space exceeds 90% of the set storage capacity, the oldest oscillation result metadata of the time mark is automatically deleted;
The generalized power grid model includes primary (generator, transmission line, transformer, etc.) equipment and secondary equipment (various hardware devices protecting the primary equipment), but the general power grid model refers to the primary equipment model.
Step 4, operating a power grid operation situation analysis tool module based on time driving, entering a power grid real-time working condition monitoring state by default, and automatically subscribing various oscillation result theme metadata and original acquisition data to be displayed to an information interaction module to form multidimensional information;
The method comprises the steps that the time length of an observation window of 2 minutes and the observation sliding step length of 2 seconds are adopted, a grid multidimensional information linkage monitoring page comprising a grid-based geographical wiring diagram and a series of oscillation result metadata display plug-in units is refreshed at regular time in a time scale dynamic advancing mode, and the grid oscillation state is intuitively displayed in various modes such as numerical value, curve, bubble, waterfall diagram, phasor diagram, table, contour line rendering and the like, so that the real-time oscillation distribution situation of the panoramic observation grid based on time driving is realized;
Switching an observation time window of a time-driven-based power grid operation situation analysis tool module, automatically entering an offline analysis state by the tool, manually adjusting the observation sliding step length again according to actual analysis requirements, manually moving the observation time window forwards and backwards according to the adjusted sliding step length, and automatically updating the multidimensional information of a tool monitoring page along with the movement of the observation time window, thereby realizing the offline analysis of the time-driven multidimensional information of the power grid oscillation distribution situation;
The method comprises the steps that an oscillation event to be analyzed is manually selected from a power grid oscillation event list displayed by a power grid operation situation analysis tool module based on time driving, the tool automatically enters a power grid oscillation case replay mode, and according to a set observation time window and an observation sliding step length, a monitoring page automatically refreshes and displays linkage change conditions of various multidimensional information in the power grid oscillation development process in a time driving mode, and an oscillation sweep range and influence degree are given.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The multidimensional information linkage monitoring system based on the data cube model comprises an online computing module, an information interaction module, a metadata storage module and an analysis tool module, and is characterized in that:
The online computing module is used for computing the operation index of the power grid to generate metadata at fixed time and issuing the metadata to the information interaction module at fixed time;
The online computing module further comprises a computing unit, and the computing unit is used for online real-time computing of the power grid operation index based on the online computing object set, the original data and the set computing period;
the information interaction module is used for receiving the metadata from the online computing module and forwarding the metadata to the metadata storage module, receiving a subscription and query request from the analysis tool module, receiving application result metadata from the metadata storage module and sending the application result metadata to the analysis tool module;
The metadata storage module is used for receiving the metadata issued by the online computing module and the subscription request from the analysis tool module through the information interaction module, generating and storing application result metadata by taking a time mark as an index, and sending the application result metadata to the analysis tool module through the information interaction module based on the subscription request;
the metadata storage module circularly compresses and stores the metadata based on the types by taking the time marks as indexes as the metadata of the application result;
The analysis tool module is used for sending the subscription request of the application result metadata to the metadata storage module through the information interaction module, receiving the application result metadata from the metadata storage module through the information interaction module, realizing the visualization of the data based on a data cube model,
The data cube model is a data model covering three dimensions of a power grid primary model, an application result type and a time scale.
2. The data cube model based multidimensional information linked monitoring system of claim 1, wherein the online computing module further comprises:
the acquisition unit is used for acquiring the original data acquired by the power grid dispatching technical support system;
The modeling unit is used for forming an online computing object set according to the primary model of the power grid and analysis requirements;
And the generating unit is used for generating metadata based on types at regular time based on the power grid operation index and issuing the metadata to the outside.
3. The data cube model based multi-dimensional information linkage monitoring system of claim 2 wherein,
The power grid operation indexes calculated by the calculation unit are four types of power grid oscillation indexes, including ultralow frequency, low frequency 1, low frequency 2 and medium and high frequency,
Wherein, the ultra-low frequency is 0.02 Hz-0.1 Hz, the low frequency 1 is 0.1 Hz-0.5 Hz, the low frequency 2 is 0.5-2.5 Hz, and the medium-high frequency is 2.5 Hz-10 Hz;
the type-based metadata generated by the generating unit is type-divided based on an application result theme, and a time stamp corresponding to the metadata is included in the type-based metadata.
4. The data cube model based multidimensional information linked monitoring system of claim 1, wherein:
The multi-dimensional information linkage monitoring system further comprises a metadata query module and a raw data management module, wherein,
The metadata query module is used for receiving a metadata query request from the analysis tool module through the information interaction module, querying application result metadata based on the query request to obtain required metadata, and returning the required metadata to the analysis tool module through the information interaction module;
The original data management module is used for acquiring original acquired data, receiving an original data query request from the analysis tool module through the information interaction module, and returning the original acquired data to the analysis tool module through the information interaction module.
5. The data cube model based multidimensional information linkage monitoring system of claim 1 or 4, wherein the analysis tool module further comprises:
the real-time analysis unit is used for analyzing the real-time operation condition of the power grid based on the received data and displaying the data in a multi-dimensional information linkage monitoring page of the power grid based on a data cube model;
The offline analysis unit is used for analyzing offline operation conditions of the power grid based on the received data and displaying the data in the page based on the data cube model;
And the event analysis unit is used for screening the data corresponding to the power grid event based on the power grid event and displaying the data in the page based on the data cube model.
6. The data cube model based multidimensional information linked monitoring system of claim 5 wherein:
The power grid multidimensional information linkage monitoring page comprises a display plug-in for displaying multidimensional data, and the display plug-in comprises a waterfall diagram, a phasor diagram, a table and contour line rendering based on a power grid geographic wiring diagram.
7. The multi-dimensional information linkage monitoring system based on a data cube model as set forth in claim 5, wherein,
The real-time analysis unit is further configured to:
Driving a power grid operation situation analysis tool to enter a power grid real-time operation condition monitoring state;
processing the received application result metadata, the required metadata and the original acquired data into multidimensional information based on a data cube model;
displaying the multidimensional information in the page by adopting the set observation window duration and the set observation sliding step length;
the display of the multi-dimensional information in the page is dynamically advanced based on the time stamp to update the page.
8. The data cube model based multidimensional information linkage monitoring system of claim 7, wherein the offline analysis unit is further configured to:
changing the observation time based on the user indication so as to display the multi-dimensional information based on the offline time scale in the observation window; and
And adjusting the duration of the observation window and the observation sliding step length based on the user instruction.
9. The data cube model based multidimensional information linkage monitoring system of claim 7, wherein the event analysis unit is further configured to:
Selecting the power grid event based on the user indication, and displaying three-dimensional information based on the power grid event in a linkage way;
and displaying an event range and an event degree in the page based on the event parameters of the power grid event.
10. A multi-dimensional information linkage monitoring method using a multi-dimensional information linkage monitoring system based on a data cube model as claimed in any one of claims 1 to 9, comprising the steps of:
step 1, calculating an operation index of a power grid on line to generate metadata at fixed time and releasing the metadata at fixed time;
step 2, generating a subscription request of application result metadata;
Step 3, generating and storing application result metadata by taking a time mark as an index according to the metadata and the subscription request;
and 4, realizing the visualization of the data based on the application result metadata and a data cube model.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488610A (en) * | 2015-11-23 | 2016-04-13 | 国网山东省电力公司信息通信公司 | Fault real-time analysis and diagnosis system and method for power application system |
| CN106339509A (en) * | 2016-10-26 | 2017-01-18 | 国网山东省电力公司临沂供电公司 | Power grid operation data sharing system based on large data technology |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100468402B1 (en) * | 2002-10-31 | 2005-01-27 | 한국전력공사 | A On-line Real-time Operation Performance Monitoring and Diagnostic System for Combined-cycle Power Plant |
| CN102426525B (en) * | 2011-11-07 | 2014-01-29 | 中国南方电网有限责任公司 | Panoramic modeling method of multi-application system |
| CN104123675A (en) * | 2013-04-27 | 2014-10-29 | 国家电网公司 | Power distribution network simulation research and analysis system and method based on network-wide data |
| CN103699967B (en) * | 2013-12-19 | 2017-10-17 | 国家电网公司 | Panoramic information platform based on power grid regulation integration |
| CN105071385B (en) * | 2015-08-10 | 2019-02-12 | 国家电网公司 | A kind of grid operation data real-time analyzer |
| CN105278373A (en) * | 2015-10-16 | 2016-01-27 | 中国南方电网有限责任公司电网技术研究中心 | Method for realizing comprehensive information processing system of transformer substation |
| CN105701181A (en) * | 2016-01-06 | 2016-06-22 | 中电科华云信息技术有限公司 | Dynamic heterogeneous metadata acquisition method and system |
| CN107545253B (en) * | 2017-09-11 | 2020-10-20 | 国网江西省电力公司电力科学研究院 | Low-frequency oscillation monitoring method for power system |
| CN109034521B (en) * | 2018-06-07 | 2021-11-16 | 国电南瑞科技股份有限公司 | Intelligent operation and maintenance architecture design method of power grid dispatching control system |
| CN109816161A (en) * | 2019-01-14 | 2019-05-28 | 中国电力科学研究院有限公司 | A kind of power distribution network operation computer-aided decision support System and its application method |
| CN110442814A (en) * | 2019-06-19 | 2019-11-12 | 中国电力科学研究院有限公司 | A kind of data interaction system and method for ubiquitous electric power Intelligent terminal for Internet of things |
| CN110990656A (en) * | 2019-10-14 | 2020-04-10 | 广西电网有限责任公司贺州供电局 | System for visual analysis of big data of smart power grid |
-
2020
- 2020-12-31 CN CN202011641337.2A patent/CN112712343B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488610A (en) * | 2015-11-23 | 2016-04-13 | 国网山东省电力公司信息通信公司 | Fault real-time analysis and diagnosis system and method for power application system |
| CN106339509A (en) * | 2016-10-26 | 2017-01-18 | 国网山东省电力公司临沂供电公司 | Power grid operation data sharing system based on large data technology |
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