CN112526637B - Integrated power grid channel rainstorm monitoring method and system based on uneven weight - Google Patents
Integrated power grid channel rainstorm monitoring method and system based on uneven weight Download PDFInfo
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Abstract
The invention relates to the technical field of electric power engineering, and discloses an integrated power grid channel rainstorm monitoring method and system based on uneven weight to improve monitoring precision and breadth. The method comprises the following steps: step S1, defining a power grid channel region, and collecting ground meteorological station information in the power grid channel, meteorological radar information covering the power grid channel and synchronous satellite precipitation data; s2, constructing gridding data of three types of rainfall of the geostationary satellite, the meteorological radar and the ground meteorological station, and fusing rainfall information of the geostationary satellite, the meteorological radar and the ground meteorological station based on uneven weight; s3, rapidly matching the fused real-time grid rainfall data with the power grid channel information to obtain real-time rainfall information in the power grid channel; and S4, carrying out real-time monitoring and early warning on the rainstorm disaster according to rainfall and real-time rainfall which have occurred at different positions in the power grid channel.
Description
Technical Field
The invention relates to the technical field of electric power engineering, in particular to an integrated power grid channel rainstorm monitoring method and system based on uneven weight.
Background
A large amount of rainfall can be brought in a short time in the rainstorm process, so that important electric facilities such as tower foundations and transformer substations are soaked in water for a long time, and the tripping of power grid lines and the damage of important electric equipment are caused; the method is easy to cause secondary disasters such as flood, landslide and the like, so that the transmission tower is inclined and inverted, and a large-area power failure accident can be caused in serious cases. The power grid channel rainstorm real-time monitoring is carried out, the power grid rainstorm disaster occurrence and development conditions can be mastered in time, and the method has important significance in timely taking and adjusting emergency work.
At present, the main rainfall monitoring means of the meteorological department comprise a ground meteorological observation station, meteorological radar observation and satellite remote sensing monitoring. However, the power facilities are wide in points and narrow in power grid channels, the ground rain gauges and the foundation radars are scattered, the observation range is limited, and the rainfall information of the towers in the power grid channels of the cross-region cannot be covered; the satellite is used for carrying out rainstorm remote sensing inversion monitoring, although the observation range is wide, the monitoring precision is low. The single monitoring means can not meet the requirements of electric power enterprises on rainstorm monitoring in a power grid channel, and large-area power failure caused by untimely disaster disposal due to lack of disaster live information or delay easily causes great loss of national economy.
Disclosure of Invention
The invention aims to disclose an integrated power grid channel rainstorm monitoring method and system based on uneven weight so as to improve monitoring precision.
In order to achieve the purpose, the invention discloses an integrated power grid channel rainstorm monitoring method based on uneven weight, which comprises the following steps:
step S1, power grid channel region planning, wherein ground meteorological station information in a power grid channel, meteorological radar information covered to the power grid channel and synchronous satellite precipitation data are collected;
s2, constructing gridding data of three types of rainfall of the geostationary satellite, the meteorological radar and the ground meteorological station, and fusing rainfall information of the geostationary satellite, the meteorological radar and the ground meteorological station based on uneven weight;
s3, rapidly matching the fused real-time grid rainfall data with power grid channel information to obtain real-time rainfall information in the power grid channel;
and S4, carrying out real-time monitoring and early warning on the rainstorm disaster according to rainfall and real-time rainfall which have occurred at different positions in the power grid channel.
Preferably, the gridding data processing of step S2 specifically includes:
1) Constructing a 1km × 1km grid aiming at ground meteorological station rainfall, wherein if a meteorological station is arranged in the grid, the rainfall of the grid is the rainfall of the station, and if no meteorological station is arranged in the grid, the grid marks that the meteorological station is lack of the rainfall;
2) Constructing a 1km × 1km grid aiming at meteorological radar precipitation, wherein if precipitation data inverted by the meteorological radar exists in the grid, the precipitation of the grid is the precipitation inverted by the meteorological radar at the position, and if the precipitation data inverted by the meteorological radar does not exist in the grid, the grid marks weather radar precipitation loss;
3) The rainfall data of the synchronous satellite four-wind-cloud is a grid of 4km × 4km, the grid of 4km × 4km is divided into 16 grids of 1km × 1km, and the rainfall data in the original grid of 4km × 4km is assigned to 16 new grids of 1km × 1km cells. Correspondingly, the fusion processing in step S2 includes:
according to the obtained 3 pieces of landing data of the 1km × 1km grid geostationary satellite, the meteorological radar and the ground meteorological station, data fusion is carried out, and the basic rule is as follows:
A. if the geostationary satellite, the weather radar and the ground weather station in a certain grid all have data during the water fall, the weight coefficients of the three data are 0.05,0.15 and 0.80 respectively;
B. if synchronous satellite and meteorological radar data exist in a certain grid, but no ground meteorological station precipitation data exist, the following two conditions are divided:
b1, if 8 grids adjacent to the grid have ground meteorological station precipitation data, assigning the ground meteorological station precipitation data adjacent to the grid, wherein the weight coefficients of the three data, namely the synchronous satellite data, the meteorological radar data and the ground meteorological station precipitation data in the grid are 0.10,0.40 and 0.50 respectively;
b2, if no ground meteorological station precipitation data exists in 8 grids adjacent to the grid, the weight coefficients of the geostationary satellite data, the meteorological radar data and the ground meteorological station precipitation data in the grid are 0.30,0.70 and 0.00 respectively;
C. if the synchronous satellite and the ground meteorological station precipitation data exist in a certain grid but the meteorological radar data do not exist, the weight coefficients of the synchronous satellite, the meteorological radar and the ground meteorological station precipitation data in the grid are 0.10,0.00 and 0.90 respectively;
D. if only the synchronous satellite precipitation data exists in a certain grid, no meteorological radar and ground meteorological station precipitation data exist, and the weight coefficients of the synchronous satellite precipitation data, the meteorological radar precipitation data and the ground meteorological station precipitation data in the grid are 1.00,0.00 and 0.00 respectively.
Preferably, the fusion processing data is updated according to the least common multiple of the updating of the precipitation data of the geostationary satellite, the meteorological radar and the ground meteorological station.
In order to achieve the purpose, the invention also discloses an integrated power grid channel rainstorm monitoring system based on uneven weight, which comprises the following steps: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the corresponding method described above when executing the computer program.
The invention has the following beneficial effects:
three types of precipitation data of geostationary satellite, meteorological radar, ground meteorological station precipitation fuse, get strong and make up for the weak point based on inhomogeneous weight to effectively extended the coverage of credible data, the practicality is strong, and the rate of accuracy is high, can effectively promote accurate and the promptness of electric wire netting passageway rainstorm real-time supervision.
The present invention will be described in further detail below with reference to the accompanying drawings.
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 flow chart of an integrated power grid channel storm monitoring method based on uneven weight according to a preferred embodiment of the 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
The embodiment discloses an integrated power grid channel rainstorm monitoring method based on uneven weight, which comprises the following steps:
(1) Electric network channel region demarcation
The important power grid channels include but are not limited to extra-high voltage lines for trans-provincial power transmission, 500kV or 220kV connecting lines between provinces, 220kV on important power transmission sections in the provincial power grid, upper lines and the like. The power grid passageway area is divided into long and narrow strip-shaped passageways which take the power transmission lines in the power grid passageways as the centers and respectively extend 1km to the two sides of the power grid passageways.
(2) Basic data collection and arrangement
Collecting the concerned power grid channel information, including the start and stop positions of the power grid channel, the voltage, design information and positions of the transmission tower and the important power transformation equipment in the channel.
Collecting weather station information in the power grid channel, wherein the weather station information comprises station coordinates and precipitation updating frequency; and collecting weather radar information which can cover the power grid channel, and collecting synchronous satellite precipitation data.
(3) Geostationary satellite, meteorological radar and ground meteorological station rainfall information fusion based on uneven weight
The weather station rainfall information is most accurate and has the highest credibility, but only represents local data, and the data updating frequency is generally 10 minutes.
The meteorological radar can scan a large range, the space precision can reach 1km, but the meteorological radar is influenced by the terrain, the radar data has large errors in some scanning blind areas, and the data updating frequency is generally 6 minutes.
At present, the space range of precipitation data of a Fengyun No. four synchronous satellite is large, but the resolution ratio is thick, the resolution ratio is 4km, the credibility of the data is the lowest of the three types of data, and the updating frequency of the data is 10 minutes.
The method comprises the steps of fusing rainfall information of a synchronous satellite, a meteorological radar and a ground meteorological station based on uneven weight, and firstly constructing gridding data of three types of rainfall of the synchronous satellite, the meteorological radar and the ground meteorological station.
1) The ground meteorological station precipitation constructs 1km × 1km grids, if a meteorological station exists in the grids, the precipitation of the grids is the precipitation of the station, and if no meteorological station exists in the grids, the grids mark the precipitation loss of the meteorological station.
2) The method comprises the steps of constructing a 1km × 1km grid by meteorological radar precipitation, if precipitation data inverted by the meteorological radar exists in the grid, determining that the precipitation of the grid is the precipitation inverted by the meteorological radar at the position, and if the precipitation data inverted by the meteorological radar does not exist in the grid, marking the weather radar precipitation loss by the grid.
3) The rainfall data of the synchronous satellite No. four of wind and cloud is a grid of 4km × 4km, the original grid of 4=4km × 4km is divided into 16 grids of 1km × 1km, and the rainfall data in the original grid of 4km × 4km is assigned to new 16 grids of 1km × 1km cells.
4) And according to the obtained 3 pieces of 1km × 1km grid geostationary satellite, meteorological radar and ground meteorological station precipitation data, carrying out data fusion, wherein the basic rule is as follows:
(1) and if the synchronous satellite, the weather radar and the ground weather station in a certain grid all have data during water falling, the weight coefficients of the three data are 0.05,0.15 and 0.80 respectively.
(2) If synchronous satellite and meteorological radar data exist in a certain grid, but no ground meteorological station precipitation data exist, the following two conditions are divided:
if the 8 grids adjacent to the grid have the ground meteorological station precipitation data, the ground meteorological station precipitation data adjacent to the grid are assigned to the grid, and the weight coefficients of the three data, namely the geostationary satellite data, the meteorological radar data and the ground meteorological station precipitation data in the grid are 0.10,0.40 and 0.50 respectively.
ii, if the water precipitation data of the ground meteorological station does not exist in 8 grids adjacent to the grid, the weight coefficients of the three data of the geostationary satellite, the meteorological radar and the water precipitation of the ground meteorological station in the grid are respectively 0.30,0.70 and 0.00.
(3) And if the synchronous satellite and the ground meteorological station precipitation data exist in a certain grid but the meteorological radar data do not exist, the weight coefficients of the synchronous satellite, the meteorological radar and the ground meteorological station precipitation data in the grid are respectively 0.10,0.00 and 0.90.
(4) If only the synchronous satellite precipitation data exist in a certain grid, no meteorological radar and ground meteorological station precipitation data exist, and the weight coefficients of the synchronous satellite precipitation data, the meteorological radar precipitation data and the ground meteorological station precipitation data in the grid are 1.00,0.00 and 0.00 respectively.
And performing data fusion once every 10 minutes according to the fusion rule of the data of the precipitation of the geostationary satellite, the meteorological radar and the ground meteorological station to obtain the real-time precipitation data of the 1km x 1km grid.
(4) Power grid channel rainstorm disaster real-time monitoring and early warning
And rapidly matching the fused 1km × 1km grid real-time rainfall data with long strip-shaped power grid channel information to obtain real-time rainfall information in the power grid channels. The method comprises the steps of carrying out real-time monitoring and early warning on rainstorm disasters according to rainfall and real-time rainfall which have occurred at different positions in a power grid channel, wherein the rainstorm rainfall threshold value of the specific early warning can be adjusted by an operation and maintenance unit according to the reality.
(5) Power grid channel rainstorm disaster real-time monitoring and early warning information output and release
And (4) outputting the early warning result of the step (4), and timely issuing the early warning result to departments of safety quality, operation and maintenance, emergency repair and the like, and timely carrying out power grid channel rainstorm disaster disposal.
In summary, as shown in fig. 1, the method flow of the embodiment can be summarized as the following steps:
s1, defining a power grid channel region, and collecting ground meteorological station information in the power grid channel, meteorological radar information covering the power grid channel and synchronous satellite precipitation data.
And S2, constructing gridding data of three types of rainfall of the synchronous satellite, the meteorological radar and the ground meteorological station, and fusing rainfall information of the synchronous satellite, the meteorological radar and the ground meteorological station based on uneven weight.
And S3, rapidly matching the fused real-time grid rainfall data with the power grid channel information to obtain real-time rainfall information in the power grid channel.
And S4, carrying out real-time monitoring and early warning on the rainstorm disaster according to rainfall and real-time rainfall which have occurred at different positions in the power grid channel.
Example 2
The embodiment discloses an integrated power grid channel rainstorm monitoring system based on uneven weight: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the corresponding method steps in the above embodiments when executing the computer program.
In summary, the integrated power grid channel rainstorm monitoring method and system based on uneven weight disclosed in the embodiments of the present invention have the following beneficial effects:
three types of precipitation data of geostationary satellite, meteorological radar, ground meteorological station precipitation fuse, get strong and make up for the weak based on inhomogeneous weight to effectively extended credible data's coverage, the practicality is strong, and the rate of accuracy is high, can effectively promote accurate and the promptness of electric wire netting passageway rainstorm real-time supervision.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and those skilled in the art can make various modifications and variations (for example, values differentiated by the size of the grid). 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 (3)
1. An integrated power grid channel rainstorm monitoring method based on uneven weight is characterized by comprising the following steps:
step S1, power grid channel region planning, wherein ground meteorological station information in a power grid channel, meteorological radar information covered to the power grid channel and synchronous satellite precipitation data are collected;
s2, constructing gridding data of three types of rainfall of a synchronous satellite, a meteorological radar and a ground meteorological station, and fusing rainfall information of the synchronous satellite, the meteorological radar and the ground meteorological station based on uneven weight; the gridding data processing specifically comprises the following steps:
1) Constructing a 1km × 1km grid aiming at ground meteorological station rainfall, wherein if a meteorological station exists in the grid, the rainfall of the grid is the rainfall of the station, and if no meteorological station exists in the grid, the grid marks the rainfall loss of the meteorological station;
2) Constructing a 1km × 1km grid aiming at meteorological radar precipitation, wherein if precipitation data inverted by the meteorological radar exists in the grid, the precipitation of the grid is the precipitation inverted by the meteorological radar, and if the precipitation data inverted by the meteorological radar does not exist in the grid, the grid marks weather radar precipitation loss;
3) Aiming at the precipitation data of the wind and cloud four-number synchronous satellite, the precipitation data is a grid of 4km x 4km, the grid of 4km x 4km is divided into 16 grids of 1km x 1km, and the precipitation data in the original grid of 4km x 4km is assigned to 16 new grids of 1km x 1km cells;
the fusion processing of step S2 includes:
according to the obtained 3 pieces of 1km × 1km grid geostationary satellite, meteorological radar and ground meteorological station precipitation data, carrying out data fusion, wherein the basic rule is as follows:
A. if the geostationary satellite, the weather radar and the ground weather station in a certain grid all have data during the water falling, the weight coefficients of the three data are 0.05,0.15 and 0.80 respectively;
B. if synchronous satellite and weather radar data exist in a certain grid, but no ground weather station precipitation data exist, the following two conditions are adopted:
b1, if 8 grids adjacent to the grid have ground meteorological station precipitation data, assigning the ground meteorological station precipitation data adjacent to the grid, wherein the weight coefficients of three data, namely the synchronous satellite data, the meteorological radar data and the ground meteorological station precipitation data in the grid are 0.10,0.40 and 0.50 respectively;
b2, if no ground meteorological station precipitation data exist in 8 grids adjacent to the grid, the weight coefficients of three data including a geostationary satellite, a meteorological radar and ground meteorological station precipitation in the grid are 0.30,0.70 and 0.00 respectively;
C. if the synchronous satellite and the ground meteorological station precipitation data are in a certain grid but the meteorological radar data are not in the grid, the weight coefficients of the synchronous satellite, the meteorological radar and the ground meteorological station precipitation data in the grid are 0.10,0.00 and 0.90 respectively;
D. if only the synchronous satellite precipitation data exists in a certain grid, no meteorological radar and ground meteorological station precipitation data exist, and the weight coefficients of the synchronous satellite precipitation data, the meteorological radar precipitation data and the ground meteorological station precipitation data in the grid are 1.00,0.00 and 0.00 respectively;
s3, rapidly matching the fused real-time grid rainfall data with the power grid channel information to obtain real-time rainfall information in the power grid channel;
and S4, carrying out real-time monitoring and early warning on the rainstorm disaster according to rainfall and real-time rainfall which have occurred at different positions in the power grid channel.
2. The method of claim 1, wherein the updating of the fusion process data is performed according to the least common multiple of geostationary satellite, meteorological radar, and ground meteorological station precipitation data updates.
3. An integrated power grid channel rainstorm monitoring system based on uneven weight comprises: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of the preceding claims 1 to 2 when executing the computer program.
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| CN110363327A (en) * | 2019-06-04 | 2019-10-22 | 东南大学 | Short based on ConvLSTM and 3D-CNN faces Prediction of Precipitation method |
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