CN112596125A - Intelligent probability analysis platform - Google Patents
Intelligent probability analysis platform Download PDFInfo
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- CN112596125A CN112596125A CN201910946149.1A CN201910946149A CN112596125A CN 112596125 A CN112596125 A CN 112596125A CN 201910946149 A CN201910946149 A CN 201910946149A CN 112596125 A CN112596125 A CN 112596125A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention relates to an intelligent rainfall probability analysis platform, which comprises: the cloud layer extraction equipment is used for receiving the directional filtering image and extracting an image area where a cloud layer target is located from the directional filtering image based on cloud layer imaging characteristics to serve as a cloud layer area to be output; the gray level identification device is used for receiving the cloud layer area and outputting the arithmetic mean value of all gray levels of all pixel points of the cloud layer area as the whole gray level value of the cloud layer area; and the signal conversion equipment is connected with the gray scale identification equipment and is used for determining the rainfall probability inversely proportional to the integral gray scale value based on the integral gray scale value to output as the real-time rainfall probability. The intelligent rainfall probability analysis platform is compact in structure and reliable in design. The rainfall probability inversely proportional to the extracted cloud layer pattern is determined based on the whole gray value of the cloud layer pattern to serve as the real-time rainfall probability, so that the accuracy of weather forecast is improved.
Description
Technical Field
The invention relates to the field of weather forecast, in particular to an intelligent probability analysis platform.
Background
After the weather forecast is made, the weather forecast is published to the society through various ways. At present, the approaches for transmitting weather forecast mainly include television, newspaper, internet, short message service, weather telephone, etc. It is a future trend to acquire weather forecast information through the internet. Weather stations around the world receive weather records from weather stations at any time each day. These records are aggregated into a vast database from which the meteorologists obtain information. The mechanism that enables large-scale communication of these data is the global system for communication (GTS). When data is entered into a powerful computer, a meteorologist can draw a weather map. Before making a weather forecast, they very carefully study the weather map and compare it with past images. Weather forecasts for several days in the future can even be 85% accurate, but it is more difficult to predict weather for more than one week in the future.
Disclosure of Invention
The invention has at least the following two important points:
(1) performing median filtering processing on the image splicing part on the basis of performing selective exposure compensation on the sliced molecular images so as to reduce the data difference between sliced sub-images which are not subjected to exposure compensation and sliced sub-images which are subjected to exposure compensation;
(2) and determining the rainfall probability inversely proportional to the extracted integral gray value of the cloud layer pattern as the real-time rainfall probability based on the extracted integral gray value of the cloud layer pattern, so that the accuracy of weather forecast is improved.
According to an aspect of the present invention, there is provided an intelligent rainfall probability resolving platform, including:
the cloud layer extraction equipment is connected with the directional processing equipment and used for receiving the directional filtering image and extracting an image area where a cloud layer target is located from the directional filtering image based on cloud layer imaging characteristics to serve as a cloud layer area to be output;
the gray level identification device is used for receiving the cloud layer area and outputting the arithmetic mean value of all gray levels of all pixel points of the cloud layer area as the whole gray level value of the cloud layer area;
the signal conversion equipment is connected with the gray scale identification equipment and used for determining rainfall probability inversely proportional to the integral gray scale value based on the integral gray scale value to be output as real-time rainfall probability;
the scene overhead shooting device is used for shooting the sky by adopting an overhead shooting view angle so as to obtain and output a corresponding real-time sky image;
the content segmentation device is connected with the on-site depression device and used for performing content segmentation on the real-time sky image based on the area of the minimum object in the received real-time sky image to obtain each segmentation sub-image;
the parameter analysis device is connected with the content segmentation device and used for performing exposure analysis on each segmentation sub-image of the received real-time sky image to obtain corresponding exposure, and outputting a plurality of intermediate values of the exposure closest to the mean value of the exposure of each segmentation sub-image as the whole exposure;
and the targeted execution equipment is connected with the parameter analysis equipment and is used for screening out each segmentation sub-image with the definition exceeding the limit in the real-time sky image and each segmentation sub-image with the definition not exceeding the limit in the real-time sky image, respectively executing exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition not exceeding the limit so as to respectively obtain a plurality of processed blocks, and not executing the exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition exceeding the limit.
The intelligent rainfall probability analysis platform is compact in structure and reliable in design. The rainfall probability inversely proportional to the extracted cloud layer pattern is determined based on the whole gray value of the cloud layer pattern to serve as the real-time rainfall probability, so that the accuracy of weather forecast is improved.
Detailed Description
The following describes an embodiment of the intelligent rainfall probability analysis platform in detail.
The probability of rainfall means how much percent the probability of rainfall in a certain area today is. The probability of rainfall is this number at the time and area of the forecast. This can also be understood as follows: the accuracy of the prediction performed for the specified time and area is the number.
Probability is a mathematical term, and its intuitive meaning refers to the likelihood of an occurrence. The forecast issued in probabilistic form called probabilistic forecast, originated in the united states in 1966. Popular understanding: when certain conditions (temperature, air pressure, humidity, etc.) are satisfied, the probability of rainfall in history is 30%. After the rainfall probability forecast is known, countermeasures can be taken for the weather with the possibility of rain so as to reduce the inconvenience in life.
At present, in weather forecast, the probability of rainfall is a difficult problem, but the probability of rainfall is one of the most needed meteorological parameters in many industries, such as aviation, agriculture, outdoor operation and the like, and for individuals, the probability of rainfall also has important reference significance, for example, whether to wash a car or not is determined according to the probability of rainfall. Therefore, there is a need for an effective rainfall probability forecasting mechanism to provide weather services for the above-mentioned industries and individuals.
In order to overcome the defects, the invention builds an intelligent rainfall probability analysis platform, and can effectively solve the corresponding technical problem.
The intelligent rainfall probability analysis platform shown according to the embodiment of the invention comprises:
the cloud layer extraction equipment is connected with the directional processing equipment and used for receiving the directional filtering image and extracting an image area where a cloud layer target is located from the directional filtering image based on cloud layer imaging characteristics to serve as a cloud layer area to be output;
the gray level identification device is used for receiving the cloud layer area and outputting the arithmetic mean value of all gray levels of all pixel points of the cloud layer area as the whole gray level value of the cloud layer area;
the signal conversion equipment is connected with the gray scale identification equipment and used for determining rainfall probability inversely proportional to the integral gray scale value based on the integral gray scale value to be output as real-time rainfall probability;
the scene overhead shooting device is used for shooting the sky by adopting an overhead shooting view angle so as to obtain and output a corresponding real-time sky image;
the content segmentation device is connected with the on-site depression device and used for performing content segmentation on the real-time sky image based on the area of the minimum object in the received real-time sky image to obtain each segmentation sub-image;
the parameter analysis device is connected with the content segmentation device and used for performing exposure analysis on each segmentation sub-image of the received real-time sky image to obtain corresponding exposure, and outputting a plurality of intermediate values of the exposure closest to the mean value of the exposure of each segmentation sub-image as the whole exposure;
the targeted execution equipment is connected with the parameter analysis equipment and is used for screening out each segmentation sub-image with the definition exceeding the limit in the real-time sky image and each segmentation sub-image with the definition not exceeding the limit in the real-time sky image, respectively executing exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition not exceeding the limit so as to respectively obtain a plurality of processed blocks, and not executing the exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition exceeding the limit;
the directional processing equipment is respectively connected with the parameter analysis equipment and the targeted execution equipment, and is used for splicing each segmentation sub-image with over-definition and a plurality of processed blocks to obtain a spliced image, and also used for respectively executing median filtering processing on the splicing positions of the blocks in the spliced image to obtain corresponding directional filtering images;
the edge sharpening device is connected with the directional processing device and is used for carrying out edge sharpening processing on the directional filtering image so as to obtain a corresponding edge sharpened image;
the smaller the area of the minimum object in the received real-time sky image is, the more the content segmentation is performed on the real-time sky image to obtain the number of each segmented sub-image;
in the cloud layer extraction device, the cloud layer imaging characteristic is a preset cloud layer gray scale range, and the preset cloud layer gray scale range is composed of an upper limit cloud layer gray scale threshold and a lower limit cloud layer gray scale threshold.
Next, a specific configuration of the intelligent rainfall probability analysis platform according to the present invention will be described further.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the geometric correction device is connected with the field depression device and is used for receiving the real-time sky image, and executing geometric correction processing on the real-time sky image to obtain and output a corresponding geometric correction image.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the first interpolation device is connected with the geometric correction device and used for receiving the geometric correction image, and performing bilinear interpolation processing on the geometric correction image to obtain and output a corresponding primary interpolation image.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the proportion analysis device is connected with the first interpolation device and used for acquiring the contrast of the geometric correction image to be used as a first contrast, and is also used for acquiring the contrast of the primary interpolation image to be used as a second contrast, and dividing the second contrast by the first contrast to obtain a reference proportion.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the second interpolation device is connected with the proportion analysis device and is used for executing nearest neighbor interpolation processing on the primary interpolation image when the received reference proportion is less than or equal to a preset proportion threshold value so as to obtain and output a corresponding secondary interpolation image.
In the intelligent rainfall probability analysis platform:
and the second interpolation device is also used for outputting the primary interpolation image as a secondary interpolation image when the received reference proportion is larger than the preset proportion threshold value.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the FLASH FLASH memory is respectively connected with the proportion analyzing equipment and the second interpolation equipment and is used for storing the preset proportion threshold value.
In the intelligent rainfall probability analysis platform, the method further comprises the following steps:
and the homomorphic filtering equipment is respectively connected with the content segmentation equipment and the second interpolation equipment and is used for receiving the re-interpolation image, executing homomorphic filtering processing on the re-interpolation image to obtain a corresponding instant filtering image, and replacing the instant filtering image with the real-time sky image and sending the instant filtering image to the content segmentation equipment.
In the intelligent rainfall probability analysis platform:
the proportion analysis equipment comprises an image receiving sub-equipment, a contrast operation sub-equipment, a proportion obtaining sub-equipment and a proportion output sub-equipment.
In the intelligent rainfall probability analysis platform:
in the proportional analysis device, the contrast operation sub-device is connected to the image receiving sub-device, and is configured to obtain a contrast of the geometrically corrected image as a first contrast and obtain a contrast of the primarily interpolated image as a second contrast;
wherein, in the scale resolution device, the image receiving sub-device is configured to receive the geometrically corrected image and the primarily interpolated image.
In addition, FLASH memory is one kind of memory device, FLASH. Flash memory is a Non-Volatile (Non-Volatile) memory that can hold data for a long time without current supply, and has storage characteristics equivalent to a hard disk, which is the basis of flash memory becoming a storage medium for various portable digital devices. The memory unit of the NAND flash memory adopts a serial structure, the reading and writing of the memory unit are carried out by taking a page and a block as a unit (one page comprises a plurality of bytes, a plurality of pages form a memory block, and the size of the NAND memory block is 8-32 KB).
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. The utility model provides an intelligent rainfall probability analysis platform which characterized in that includes:
the cloud layer extraction equipment is connected with the directional processing equipment and used for receiving the directional filtering image and extracting an image area where a cloud layer target is located from the directional filtering image based on cloud layer imaging characteristics to serve as a cloud layer area to be output;
the gray level identification device is used for receiving the cloud layer area and outputting the arithmetic mean value of all gray levels of all pixel points of the cloud layer area as the whole gray level value of the cloud layer area;
the signal conversion equipment is connected with the gray scale identification equipment and used for determining rainfall probability inversely proportional to the integral gray scale value based on the integral gray scale value to be output as real-time rainfall probability;
the scene overhead shooting device is used for shooting the sky by adopting an overhead shooting view angle so as to obtain and output a corresponding real-time sky image;
the content segmentation device is connected with the on-site depression device and used for performing content segmentation on the real-time sky image based on the area of the minimum object in the received real-time sky image to obtain each segmentation sub-image;
the parameter analysis device is connected with the content segmentation device and used for performing exposure analysis on each segmentation sub-image of the received real-time sky image to obtain corresponding exposure, and outputting a plurality of intermediate values of the exposure closest to the mean value of the exposure of each segmentation sub-image as the whole exposure;
the targeted execution equipment is connected with the parameter analysis equipment and is used for screening out each segmentation sub-image with the definition exceeding the limit in the real-time sky image and each segmentation sub-image with the definition not exceeding the limit in the real-time sky image, respectively executing exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition not exceeding the limit so as to respectively obtain a plurality of processed blocks, and not executing the exposure compensation processing based on the integral exposure on each segmentation sub-image with the definition exceeding the limit;
the directional processing equipment is respectively connected with the parameter analysis equipment and the targeted execution equipment, and is used for splicing each segmentation sub-image with over-definition and a plurality of processed blocks to obtain a spliced image, and also used for respectively executing median filtering processing on the splicing positions of the blocks in the spliced image to obtain corresponding directional filtering images;
the edge sharpening device is connected with the directional processing device and is used for carrying out edge sharpening processing on the directional filtering image so as to obtain a corresponding edge sharpened image;
the smaller the area of the minimum object in the received real-time sky image is, the more the content segmentation is performed on the real-time sky image to obtain the number of each segmented sub-image;
in the cloud layer extraction device, the cloud layer imaging characteristic is a preset cloud layer gray scale range, and the preset cloud layer gray scale range is composed of an upper limit cloud layer gray scale threshold and a lower limit cloud layer gray scale threshold.
2. The intelligent rainfall probability resolution platform of claim 1, further comprising:
and the geometric correction device is connected with the field depression device and is used for receiving the real-time sky image, and executing geometric correction processing on the real-time sky image to obtain and output a corresponding geometric correction image.
3. The intelligent rainfall probability resolution platform of claim 2, wherein said platform further comprises:
and the first interpolation device is connected with the geometric correction device and used for receiving the geometric correction image, and performing bilinear interpolation processing on the geometric correction image to obtain and output a corresponding primary interpolation image.
4. The intelligent rainfall probability resolution platform of claim 3, wherein said platform further comprises:
and the proportion analysis device is connected with the first interpolation device and used for acquiring the contrast of the geometric correction image to be used as a first contrast, and is also used for acquiring the contrast of the primary interpolation image to be used as a second contrast, and dividing the second contrast by the first contrast to obtain a reference proportion.
5. The intelligent rainfall probability resolution platform of claim 4, wherein said platform further comprises:
and the second interpolation device is connected with the proportion analysis device and is used for executing nearest neighbor interpolation processing on the primary interpolation image when the received reference proportion is less than or equal to a preset proportion threshold value so as to obtain and output a corresponding secondary interpolation image.
6. The intelligent rainfall probability resolving platform of claim 5, wherein:
and the second interpolation device is also used for outputting the primary interpolation image as a secondary interpolation image when the received reference proportion is larger than the preset proportion threshold value.
7. The intelligent rainfall probability resolution platform of claim 6, further comprising:
and the FLASH FLASH memory is respectively connected with the proportion analyzing equipment and the second interpolation equipment and is used for storing the preset proportion threshold value.
8. The intelligent rainfall probability resolution platform of claim 7, wherein said platform further comprises:
and the homomorphic filtering equipment is respectively connected with the content segmentation equipment and the second interpolation equipment and is used for receiving the re-interpolation image, executing homomorphic filtering processing on the re-interpolation image to obtain a corresponding instant filtering image, and replacing the instant filtering image with the real-time sky image and sending the instant filtering image to the content segmentation equipment.
9. The intelligent rainfall probability resolving platform of claim 8, wherein:
the proportion analysis equipment comprises an image receiving sub-equipment, a contrast operation sub-equipment, a proportion obtaining sub-equipment and a proportion output sub-equipment.
10. The intelligent rainfall probability resolving platform of claim 9, wherein:
in the proportional analysis device, the contrast operation sub-device is connected to the image receiving sub-device, and is configured to obtain a contrast of the geometrically corrected image as a first contrast and obtain a contrast of the primarily interpolated image as a second contrast;
wherein, in the scale resolution device, the image receiving sub-device is configured to receive the geometrically corrected image and the primarily interpolated image.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910946149.1A CN112596125A (en) | 2019-10-02 | 2019-10-02 | Intelligent probability analysis platform |
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| CN201910946149.1A CN112596125A (en) | 2019-10-02 | 2019-10-02 | Intelligent probability analysis platform |
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