CN104270265A - Self-adaptation power grid resource topological structure change multi-server cache synchronization method - Google Patents
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Abstract
The invention relates to a self-adaptation power grid resource topological structure change multi-server cache synchronization method. The method comprises the following steps that spatial information background server codes of a GIS platform are compiled and deployed; a power grid topological structure is analyzed, and power grid equipment object-oriented modeling is adopted as the basis in the GIS platform; a coverage algorithm is called for compiling and deployment, and the coverage algorithm is dynamically called to coverage data according to coherent logic processing; distributed cache of the GIS platform is achieved; the rear end of the GIS platform pushes a data program to the front end of the GIS platform to be compiled and deployed; the rear end of the GIS platform pushes data to the front end of the GIS platform; event listening is carried out by the front end of the GIS platform; the topology analysis efficiency on power grid resource equipment is displayed at the front end of the GIS platform. According to the method, orientation speed is high, management is facilitated, and no manual operation is needed.
Description
(I) technical field
The invention relates to a GIS technology, in particular to a self-adaptive multi-server cache synchronization method for the topological structure change of a power grid resource, which relates to the research of a power grid topological analysis method and the application method for the design and implementation of a distributed data cache system.
(II) background of the invention
The self-adaptive multi-server cache synchronization technology for the topological structure change of the power grid resources adopts the geographical position information as a main line and adopts a system organization mode of a power Geographical Information System (GIS), and the application of the power system is constructed on the basis, so that the data sharing and consistency can be improved, the visual expression of the information is enhanced, the network congestion is effectively reduced, the server load is reduced, and the information access speed is accelerated. By applying the new power grid data model with the topological relation, the defect that the power distribution network simulation operation can only be carried out on the power topological graph and the geographic position of the power grid equipment cannot be directly positioned is overcome, the powerful analysis function of the GIS can be fully utilized, and the power grid topology analysis efficiency is improved.
Research on the multi-server cache synchronization technology for power grid topological data structure change in the power GIS has important academic and practical significance for establishing a practical power geographic information system, providing functions of high performance, dynamic expansibility, high availability, usability and distributed code execution, greatly promoting informatization of the power industry and improving the modernization level of the power system.
By applying the distributed cache technology in the GIS platform, one concern is to optimize the cache placement and minimize the access overhead. And the power grid resource topology analysis method is applied to the GIS platform, so that the GIS power grid platform is more complete in function, damaged equipment can be searched according to the topology structure of the power grid equipment, and the damaged equipment can be displayed at the front end of the GIS platform in a self-enabling mode.
Disclosure of the invention
The invention provides a self-adaptive multi-server cache synchronization method for the topological structure change of power grid resources, which overcomes the defects of the prior art, integrates basic geographic data and power grid resource data by adopting an open architecture and a universal technology, constructs a power grid GIS (geographic information system) resource topological structure and line dynamic change, provides spatial information service support for power grid business application, generates an algorithm of distributed multi-server dynamic cache and real-time synchronization, and improves the lean management level of a power grid. By integrating with each service system, the unified maintenance and management of the account information, the space position information and the power grid topology information of power generation, power transmission, power transformation, power distribution, power utilization, communication and other power grid resources in the power grid are realized.
The invention is realized by the following technical scheme:
the multi-server cache synchronization method for the self-adaptive power grid resource topological structure change is characterized by comprising the following steps of:
1) compiling and deploying codes of a GIS platform spatial information background server;
2) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
3) calling the layer algorithm to compile and deploy, and dynamically calling the layer data according to the relevant logic processing;
4) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
5) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
6) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
7) monitoring events at the front end of the GIS platform, compiling an event monitoring program in a display container at the front end of the GIS platform, and monitoring the pushing of data at the back end;
8) and displaying the topology analysis efficiency of the power grid resource equipment at the front end of the GIS platform.
The invention discloses a multi-server cache synchronization method for self-adaptive power grid resource topological structure change, which is characterized by comprising the following steps of:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of a GIS platform, and carrying out logic processing and calling graph data according to the strong wind related data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end;
10) the method comprises the steps that (1) the damage analysis efficiency of strong wind to power grid resource equipment is displayed at the front end of a GIS platform;
11) code compilation and deployment.
The invention discloses a multi-server cache synchronization method for self-adaptive power grid resource topological structure change, which is characterized by comprising the following steps of:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of the GIS platform, carrying out logic processing according to rain and snow data, and calling graph data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end of the GIS platform;
10) displaying the damage analysis efficiency of rain and snow to power grid resource equipment at the front end of the GIS platform;
11) code compilation and deployment.
The invention has the beneficial effects that:
1. on a GIS platform spatial information service platform, unified and structured management of various power grid resources is realized, and power grid spatial information and analysis service are provided for various business applications. By integrating with each business application, the lean management level of the power grid is effectively improved.
2. By adopting the design and implementation of the distributed data cache system, the speed of accessing and acquiring data can be effectively improved, the load of the database is greatly reduced, resources are better distributed, the access speed is accelerated, the placement of cache is optimized, and the access overhead is minimized.
3. The GIS platform front end display interface does not need manual operation, monitors data pushed by the GIS platform rear end through events, automatically enters a power grid resource topological structure analysis interface, and dynamically displays the latest data pushed by the GIS platform in real time.
(IV) description of the drawings
The invention is further described with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic diagram of a GIS platform front end container.
(V) detailed description of the preferred embodiments
The attached drawing is a specific embodiment of the invention. As shown in fig. 1, the multi-server cache synchronization method for adaptive power grid resource topology change includes the following steps:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of a GIS platform, and carrying out logic processing and calling graph layer data according to related requirements;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end of the GIS platform;
10) the topology analysis efficiency of the power grid resource equipment is displayed at the front end of the GIS platform;
11) code compilation and deployment.
The following are two specific embodiment examples:
the self-adaptive power grid resource topological structure change multi-server cache synchronization technology based on the strong wind topic comprises the following steps:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of a GIS platform, and carrying out logic processing and calling graph data according to the strong wind related data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end of the GIS platform;
10) the method comprises the steps that (1) the damage analysis efficiency of strong wind to power grid resource equipment is displayed at the front end of a GIS platform;
11) code compilation and deployment.
The multi-server cache synchronization technology based on the rain and snow special subject adaptive power grid resource topological structure change comprises the following steps:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of the GIS platform, carrying out logic processing according to rain and snow data, and calling graph data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end of the GIS platform;
10) displaying the damage analysis efficiency of rain and snow to power grid resource equipment at the front end of the GIS platform;
11) code compilation and deployment.
Wherein,
the GIS is an english abbreviation of Geographic Information System (Geographic Information System). The GIS platform generally integrates the functions of map editing, inquiring, positioning, zooming in, zooming out, network analysis, path analysis, equivalence analysis, DEM analysis and the like.
A front-end container: the front-end user interface is made up of components. A container is a special component that can contain other components as shown in fig. 2.
Other technical features than those described in the specification are known to those skilled in the art.
Claims (3)
1. The multi-server cache synchronization method for the self-adaptive power grid resource topological structure change is characterized by comprising the following steps of:
1) compiling and deploying codes of a GIS platform spatial information background server;
2) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
3) calling the layer algorithm to compile and deploy, and dynamically calling the layer data according to the relevant logic processing;
4) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
5) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
6) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
7) monitoring events at the front end of the GIS platform, compiling an event monitoring program in a display container at the front end of the GIS platform, and monitoring the pushing of data at the back end;
8) and displaying the topology analysis efficiency of the power grid resource equipment at the front end of the GIS platform.
2. The adaptive power grid resource topology change multi-server cache synchronization method according to claim 1, comprising the steps of:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of a GIS platform, and carrying out logic processing and calling graph data according to the strong wind related data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end;
10) the method comprises the steps that (1) the damage analysis efficiency of strong wind to power grid resource equipment is displayed at the front end of a GIS platform;
11) code compilation and deployment.
3. The adaptive power grid resource topology change multi-server cache synchronization method according to claim 1, comprising the steps of:
1) compiling GIS platform codes;
2) compiling GIS platform front-end container codes according to the display data;
3) adding event monitoring to a GIS platform front-end container, and building a GIS platform rear-end server;
4) compiling GIS space information data service codes at the rear end of the GIS platform, carrying out logic processing according to rain and snow data, and calling graph data;
5) analyzing a power grid topological structure by using an analysis method recorded in 'research on a power grid topological analysis method', and dividing a network topology into a static generation part and a dynamic tracking part for analysis by using a breadth-first search method based on node analysis on the basis of modeling of a power grid equipment object in a GIS platform so as to realize quick generation of the network topology;
6) realizing GIS platform distributed cache according to the algorithm recorded in the design and realization of the distributed data cache system;
7) pushing a data program to be compiled and deployed to the front end of the GIS platform by the rear end of the GIS platform;
8) pushing data to the front end of the GIS platform by the rear end of the GIS platform;
9) monitoring the time of the front end of the GIS platform, compiling an event monitoring program in a display container of the front end of the GIS platform, and monitoring the data push of the back end of the GIS platform;
10) displaying the damage analysis efficiency of rain and snow to power grid resource equipment at the front end of the GIS platform;
11) code compilation and deployment.
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Application publication date: 20150107 |