CN111078909A - Power grid mountain fire satellite monitoring image assimilation modeling method and system based on tetrahedral model - Google Patents
Power grid mountain fire satellite monitoring image assimilation modeling method and system based on tetrahedral model Download PDFInfo
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Abstract
The invention discloses a tetrahedral model-based power grid mountain fire satellite monitoring image synchronization modeling method and system, wherein 4 facets are used for respectively describing basic attributes, data characteristics, disaster characteristics, original images and other elements of unstructured data of a power grid disaster satellite monitoring image and describing internal relations among the elements, and structured data synchronization operation is carried out on multi-time satellite images, so that rapid retrieval of power grid disaster data in multi-time satellite remote sensing monitoring images is realized. The method is clear in thought, convenient to operate and high in practicability, can provide a technical basis for unified storage and associated operation of power grid disaster multi-source monitoring data, and achieves multi-source heterogeneous data assimilation modeling in power grid disaster monitoring.
Description
Technical Field
The invention belongs to the technical field of electric power weather, and particularly relates to a power grid disaster situation multi-time satellite image synchronization modeling method and system of a tetrahedral model.
Background
Along with the deepening of the informatization and the intelligentization construction of the electric power system, the monitoring data stored in the terminal server is multiplied, and the monitoring data far exceeds the category of the traditional power grid disaster monitoring. In the electric power meteorological disaster monitoring data, satellite image data, video monitoring image data and the like belong to unstructured data, part of observation data are stored in a graph-text mixed semi-structured mode, unified data storage, management and analysis are not facilitated to be directly performed, a large amount of observation data cannot be compared and analyzed in a unified mode, standardized conversion needs to be performed on semi-structured and unstructured electric power meteorological observation data, and quick standardized conversion and storage of the semi-structured and unstructured electric power meteorological data are achieved. At present, the meteorological satellite monitoring image data volume of a power grid company reaches a PB level, a wind cloud four-weather synchronous satellite updates every 15 minutes, the data volume reaches 5G every time, and the multi-time satellite image unstructured data has the characteristics of large scale, high timeliness and the like.
Disclosure of Invention
The invention provides a tetrahedral model-based power grid mountain fire satellite monitoring image simultaneous modeling method and system which are convenient to operate and high in practicability, and aims at the storage requirements of large data volume and high timeliness of electric power meteorological satellites. The rapid storage, query and retrieval of the power grid disaster data in the multi-time mass satellite remote sensing monitoring image can be realized, and the assimilation modeling of the structured data and the unstructured data in the power grid disaster monitoring is realized.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a power grid mountain fire satellite image assimilation modeling method based on a tetrahedral model comprises the following steps:
acquiring meteorological satellite image data, extracting basic attribute information of a satellite image, and describing by using a basic attribute xml file;
step (2), acquiring the data characteristics of the current satellite according to the meteorological satellite image data acquired in the step (1), and describing by using a data characteristic xml file;
step (3), selecting different mountain fire identification models to perform pixel-by-pixel mountain fire identification according to the meteorological satellite image data obtained in the step (1), and describing disaster monitoring characteristics by using a table text file;
and (4) constructing a meteorological satellite image tetrahedral model by taking the original satellite image data of the meteorological satellite, the basic attribute obtained in the step (1), the data characteristic obtained in the step (2) and the disaster monitoring characteristic obtained in the step (3) as 4 facets, simultaneously writing a unique identification code into the basic attribute xml file, the data characteristic xml file and the disaster monitoring characteristic table text file, naming the original satellite image data of the meteorological satellite by the unique identification code for local storage, and constructing a query index association relationship among different facets.
As a further improvement of the above technical solution:
preferably, the unique identification code is a satellite transit time.
Preferably, the basic attributes include a satellite name, a satellite sensor type, a satellite transit time, and a satellite transit zenith angle.
Preferably, the data characteristics include latitude and longitude ranges of the satellite monitoring images, the provinces of the networks included in the satellite monitoring images and a projection mode of the satellite monitoring images.
Preferably, the disaster monitoring features include longitude and latitude coordinates of fire pixels in the satellite monitoring image forest fire identification model and the satellite forest fire identification result, brightness temperature values of mid-infrared wave bands and far-infrared wave bands of the fire pixels, and underlying surface classification results of the fire pixel region.
Preferably, the original satellite image data includes an original file of unstructured data, and the file format of the original satellite image is maintained.
The invention also provides a power grid mountain fire satellite monitoring image assimilation modeling system based on the tetrahedral model, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of any method when executing the computer program.
The invention has the following beneficial effects:
the power grid mountain fire satellite monitoring image synchronization modeling method and system based on the tetrahedral model are convenient to operate and high in practicability, based on the incidence relation in a tetrahedron, 4 facets are utilized to respectively describe the basic attributes, data characteristics, disaster monitoring characteristics, original image data and other components of power grid disaster satellite monitoring image unstructured data, the query index incidence relation among different facets is constructed, structured data synchronization operation is carried out on multiple times of satellite images, the efficiency of storage, query and retrieval of power grid disaster data in multiple times of mass satellite remote sensing monitoring images is improved, a technical basis can be provided for unified storage and association operation of power grid disaster data, and structured data and unstructured assimilation modeling in power grid disaster monitoring is achieved. The search range can be quickly narrowed, and the target data can be accurately positioned.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow diagram of the process of the present invention.
FIG. 2 is a tetrahedral model diagram of a meteorological satellite image constructed in the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
As shown in fig. 1, the power grid mountain fire satellite monitoring image assimilation modeling method based on the tetrahedral model specifically comprises the following steps:
acquiring unstructured image data of a meteorological satellite at a certain time, and constructing a tetrahedral model of the meteorological satellite at the time (as shown in fig. 2):
1) basic properties: the method comprises the steps of describing a satellite name, a satellite sensor type, satellite transit time, a satellite transit zenith angle and the like by using an xml file;
for example, Fengyun three # C star, VIRR sensor, entrance time Beijing time 2019, 10 months and 28 days 09: 43: 00, exit time beijing time 2019, 10 months, 28 days 09: 58: 00 and a satellite transit zenith angle of 92.5 degrees.
2) Data characteristics: the method comprises the steps of describing a longitude and latitude range of a satellite monitoring image, a network province contained in the satellite monitoring image and a projection mode of the satellite monitoring image by using an xml file;
for example, longitude ranges of east longitude 93-119 degrees, latitude ranges of north latitude 18-46 degrees, border crossing network provinces Jiangsu, Zhejiang, Anhui, Shanghai, Jiangxi, Hunan, Hubei, Fujian, Guizhou, Sichuan, Shaanxi, Shanxi, Hebei, Tianjin, Gansu, Xinjiang, Liaoning, Shandong, Guangxi and Yunnan, and equal longitude and latitude projection is adopted.
3) Disaster monitoring characteristics: the method comprises the steps of describing a satellite monitoring image forest fire identification model, longitude and latitude coordinates of fire point pixels in satellite forest fire identification results, brightness temperature values of middle infrared wave bands and far infrared wave bands of the fire point pixels and underlying surface classification results of fire point pixel areas by using a text file; and selecting a context forest fire identification model, identifying 29 forest fire pixels in total, and storing the result of each pixel into a table text.
4) Original satellite image data: original files of unstructured data keep the file format of original satellite images.
Constructing a meteorological satellite image tetrahedral model by using original satellite image data of a meteorological satellite, basic attributes acquired in step 1), data characteristics acquired in step 2) and disaster monitoring characteristics acquired in step 3) as 4 facets, simultaneously writing a unique identification code into a basic attribute xml file acquired in step 1), a data characteristic xml file acquired in step 2) and a disaster monitoring characteristic table text file acquired in step 3), taking satellite transit time as the unique identification code, for example 20191028094300, writing the satellite transit time into the 2 xml files and the table text, naming the original meteorological satellite image data as the unique identification code for local storage, and constructing query index association relations among different facets.
Query example:
1) "retrieve the general situation of mountain fire in Hunan province 4 months and 5 days of Qingming festival in 2019", carry on the year, month and day matching of the satellite transit time in the basic attribute on the basis of the date, carry on the satellite in the data characteristic and cross the network province matching of the satellite in Hunan province, the direct correlation gives the correspondent disaster monitoring characteristic data, summarize many times satellite data of each time quantum, get the mountain fire monitoring general situation of Hunan province on the day of Qingming festival;
2) "13: 00 +/-800 kV binin gold thread 1214 tower accessory mountain fire trips in 4/5/2019, mountain fire satellite monitoring images in that period of time are retrieved", satellite transit time accurate matching in basic attributes is carried out based on date, +/-800 kV binin gold thread 1214 tower longitude and latitude coordinates are inquired by a related circuit pole tower table, fire pixel longitude and latitude matching in disaster monitoring characteristic data is carried out based on the longitude and latitude coordinates, a matching result is given, and basic attributes (satellite name, satellite sensor type and the like) of the satellite passing the border nearby at the tripping moment and inquiry conditions of whether mountain fire is identified are output.
Example 2
The invention also provides a power grid mountain fire satellite monitoring image assimilation modeling system based on the tetrahedral model, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the steps of the method embodiment 1 are realized when the processor executes the computer program.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A power grid mountain fire satellite image assimilation modeling method based on a tetrahedral model is characterized by comprising the following steps:
acquiring meteorological satellite image data, extracting basic attribute information of a satellite image, and describing by using a basic attribute xml file;
step (2), acquiring the data characteristics of the current satellite according to the meteorological satellite image data acquired in the step (1), and describing by using a data characteristic xml file;
step (3), selecting different mountain fire identification models to perform pixel-by-pixel mountain fire identification according to the meteorological satellite image data obtained in the step (1), and describing disaster monitoring characteristics by using a table text file;
and (4) constructing a meteorological satellite image tetrahedral model by taking the original satellite image data of the meteorological satellite, the basic attribute obtained in the step (1), the data characteristic obtained in the step (2) and the disaster monitoring characteristic obtained in the step (3) as 4 facets, simultaneously writing a unique identification code into the basic attribute xml file, the data characteristic xml file and the disaster monitoring characteristic table text file, naming the original satellite image data of the meteorological satellite by the unique identification code for local storage, and constructing a query index association relationship among different facets.
2. The tetrahedron model-based power grid mountain fire satellite monitoring image assimilation modeling method according to claim 1, wherein the unique identification code is satellite transit time.
3. The tetrahedron model-based power grid mountain fire satellite surveillance image assimilation modeling method defined in claim 2, wherein the basic attributes include satellite name, satellite sensor type, satellite transit time, and satellite transit zenith angle.
4. The tetrahedron model-based power grid forest fire satellite monitoring image assimilation modeling method according to claim 2, wherein the data characteristics include satellite monitoring image longitude and latitude range, satellite monitoring image contained province, and satellite monitoring image projection mode.
5. The power grid mountain fire satellite monitoring image assimilation modeling method based on the tetrahedral model is characterized in that the disaster monitoring characteristics comprise longitude and latitude coordinates of fire pixels in the satellite mountain fire recognition model and the satellite mountain fire recognition result, brightness temperature values of middle infrared wave bands and far infrared wave bands of the fire pixels, and underlying surface classification results of the fire pixel area.
6. The tetrahedron model-based power grid forest fire satellite monitoring image assimilation modeling method of claim 2, wherein the original satellite image data comprises an original file of unstructured data, and a file format of the original satellite image is maintained.
7. A power grid mountain fire satellite monitoring image assimilation modeling system based on a tetrahedral model, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program is executed by the processor to realize the steps of the method according to any one of claims 1 to 6.
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Application publication date: 20200428 |