CN111626088B - Meteorological parameter detection system based on snowflake shape analysis - Google Patents
Meteorological parameter detection system based on snowflake shape analysis Download PDFInfo
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- CN111626088B CN111626088B CN201910902976.0A CN201910902976A CN111626088B CN 111626088 B CN111626088 B CN 111626088B CN 201910902976 A CN201910902976 A CN 201910902976A CN 111626088 B CN111626088 B CN 111626088B
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
Abstract
The invention relates to a meteorological parameter detection system based on snowflake shape analysis, which comprises: the content analysis equipment is used for taking pixel points with the brightness values falling within a preset snowflake brightness range in the bilateral filter image as snowflake pixel points and combining all the snowflake pixel points in the bilateral filter image to obtain all snowflake patterns in the bilateral filter image; and the shape extraction device is connected with the content analysis device and used for classifying the shapes of the snowflake patterns and outputting the shapes with the highest occurrence frequency as reference shapes. The meteorological parameter detection system based on the snowflake shape analysis is convenient and practical and has a simple structure. Because the corresponding weather humidity is determined based on the main shape of the snowflake, important evidence data can be obtained for humidity detection.
Description
Technical Field
The invention relates to the field of meteorological analysis, in particular to a meteorological parameter detection system based on snowflake shape analysis.
Background
The weather analysis is a process of describing, operating and deducing observation records filled in related charts according to the weather dynamics principle, and is a basic foothold and a main basis of weather forecast. The method comprises the following steps of ground weather map analysis, isobaric surface map analysis, temperature and pressure field analysis, auxiliary weather map analysis and the like.
During weather analysis, observation records are firstly correctly judged and used, the evolution process of various weather phenomena and weather situations is deduced by referring to relevant analysis and forecast criteria and scientific research summary, and the historical continuity before and after the evolution process is noticed. The organic combination of the respective charts is emphasized. From the reality, the method provides scientific basis for catching the key weather forecast.
Disclosure of Invention
The invention needs to have the following two key points:
(1) determining corresponding weather humidity based on the main shape of the snowflake, wherein the higher the fluffiness degree of the main shape of the snowflake is, the lower the corresponding weather humidity is, so that important evidence data is obtained for humidity detection;
(2) the parameters capable of representing the whole image are acquired by using the partial image data, and the whole image is correspondingly processed based on the acquired parameters, so that the image processing speed is effectively improved.
According to an aspect of the invention, there is provided a meteorological parameter detection system based on snowflake shape analysis, the system comprising:
the content analysis equipment is connected with the bilateral filtering fuzzy equipment and is used for taking pixel points of which the brightness values in the bilateral filtering image fall within a preset snowflake brightness range as snowflake pixel points and combining all snowflake pixel points in the bilateral filtering image to obtain all snowflake patterns in the bilateral filtering image;
the shape extraction device is connected with the content analysis device and used for classifying the shapes of the snowflake patterns and outputting the shapes with the highest occurrence frequency as reference shapes;
the humidity mapping equipment is connected with the shape extraction equipment and used for determining corresponding weather humidity based on the received reference shape, wherein the higher the fluffiness degree of the reference shape is, the lower the corresponding weather humidity is;
the network camera equipment is arranged at a meteorological monitoring point and used for executing camera shooting operation on a current monitoring area so as to obtain and output a corresponding field shooting image;
the real-time processing equipment is connected with the network camera equipment and is used for receiving the field shot image, identifying the content complexity of the field shot image and carrying out region division operation on the field shot image based on the acquired content complexity so as to obtain each image region;
the block acquisition equipment is connected with the real-time processing equipment and is used for receiving each image area of the field shot image and selecting an image area superposed with the character from the field shot image as a reference image area by adopting a character selection mode;
and the mean value calculation equipment is connected with the block acquisition equipment and is used for performing mean value calculation on each definition of each reference image area to obtain a reference mean value, and performing definition enhancement processing on the whole field shot image based on the reference mean value to obtain and output a field processed image.
The meteorological parameter detection system based on the snowflake shape analysis is convenient and practical and has a simple structure. Because the corresponding weather humidity is determined based on the main shape of the snowflake, important evidence data can be obtained for humidity detection.
Detailed Description
The following describes embodiments of the snowflake shape analysis based meteorological parameter detection system of the present invention in detail.
Humidity, a physical quantity representing the degree of dryness of the atmosphere. The less water vapor contained in a certain volume of air at a certain temperature, the drier the air; the more water vapor, the more humid the air. The degree of dryness of air is called "humidity". In this sense, the physical quantities such as absolute humidity, relative humidity, comparative humidity, mixture ratio, saturation difference, and dew point are commonly used; if the weight of water vapor in the wet steam is expressed as a percentage of the total weight (volume) of the steam, it is referred to as the humidity of the steam. The humidity at which the human body feels comfortable is: the relative humidity is lower than 70%.
At present, the requirement of each business to weather forecast is higher and higher, however, if detecting each item of weather information by adopting a single mode, the great error will inevitably occur under some extreme conditions because of the reason of the detection mechanism itself, therefore, other detection modes need to be established to carry out the evidence of data, and at present, the evidence detection mode to weather humidity is lacked.
In order to overcome the defects, the invention builds a meteorological parameter detection system based on snowflake shape analysis, and can effectively solve the corresponding technical problem.
The meteorological parameter detection system based on the snowflake shape analysis, which is shown according to the embodiment of the invention, comprises:
the content analysis equipment is connected with the bilateral filtering fuzzy equipment and is used for taking pixel points of which the brightness values in the bilateral filtering image fall within a preset snowflake brightness range as snowflake pixel points and combining all snowflake pixel points in the bilateral filtering image to obtain all snowflake patterns in the bilateral filtering image;
the shape extraction device is connected with the content analysis device and used for classifying the shapes of the snowflake patterns and outputting the shapes with the highest occurrence frequency as reference shapes;
the humidity mapping equipment is connected with the shape extraction equipment and used for determining corresponding weather humidity based on the received reference shape, wherein the higher the fluffiness degree of the reference shape is, the lower the corresponding weather humidity is;
the network camera equipment is arranged at a meteorological monitoring point and used for executing camera shooting operation on a current monitoring area so as to obtain and output a corresponding field shooting image;
the real-time processing equipment is connected with the network camera equipment and is used for receiving the field shot image, identifying the content complexity of the field shot image and carrying out region division operation on the field shot image based on the acquired content complexity so as to obtain each image region;
the block acquisition equipment is connected with the real-time processing equipment and is used for receiving each image area of the field shot image and selecting an image area superposed with the character from the field shot image as a reference image area by adopting a character selection mode;
the mean value calculation equipment is connected with the block acquisition equipment and is used for performing mean value calculation on each definition of each reference image area to obtain a reference mean value, and performing definition enhancement processing on the whole field shot image based on the reference mean value to obtain and output a field processed image;
bilateral filtering fuzzy equipment connected with the mean value computing equipment and used for executing bilateral filtering fuzzy processing on the received field processing image so as to obtain and output a corresponding bilateral filtering image;
wherein performing sharpness enhancement processing on the entire live-shot image based on the reference mean value comprises: the lower the reference mean value is, the larger the amplitude of performing definition enhancement processing on the whole field shot image is;
the real-time processing equipment comprises pixel value analysis sub-equipment, and is used for acquiring each pixel value of each pixel point of the field shot image and performing duplication elimination processing on each pixel value to acquire the number of the duplicated pixel values;
wherein, in the real-time processing device, the content complexity of the live photographic image is proportional to the number of the pixel values after the duplication removal.
Next, the specific structure of the weather parameter detection system based on snowflake shape analysis according to the present invention will be further described.
In the meteorological parameter detection system based on snowflake shape analysis:
in the real-time processing device, performing a region division operation on the live photographic image based on the acquired content complexity includes: the higher the complexity of the acquired content, the greater the number of image areas obtained by performing area division operations on the live-shot image.
In the meteorological parameter detection system based on snowflake shape analysis:
the content analysis equipment is realized by adopting a CPLD device, and the CPLD device is designed by adopting VHDL.
In the meteorological parameter detection system based on snowflake shape analysis:
the shape extraction device is a GPU processor, and a timer and a ROM are arranged in the GPU processor.
In the meteorological parameter detection system based on snowflake shape analysis:
and the content analysis device and the shape extraction device are in data connection and data interaction through a 32-bit parallel data interface.
In the meteorological parameter detection system based on snowflake shape analysis:
the content analysis device and the shape extraction device share the same field timing device and share the same power input device.
In the meteorological parameter detection system based on snowflake shape analysis:
and a data caching device is also arranged between the content analysis device and the shape extraction device.
In the meteorological parameter detection system based on snowflake shape analysis:
the data caching device is connected with the content analysis device and the shape extraction device through two data interfaces respectively.
In addition, the GPU is a display chip capable of supporting T & L (Transform and Lighting) from hardware, and since T & L is an important part in 3D rendering, it is used to calculate the 3D position of a polygon and process dynamic ray effects, which can also be referred to as "geometric processing". A good T & L unit, which can provide fine 3D objects and high-level light special effects; however, in most PCs, most of the operations of T & L are handled by the CPU (that is, software T & L), and because the CPU has many tasks and performs non-3D graphics processing such as memory management and input response in addition to T & L, the performance is greatly reduced during actual operations, and the CPU generally waits for CPU data, and the operation speed of the CPU is far from the requirement of a complicated three-dimensional game. Even if the operating frequency of the CPU exceeds 1GHz or more, it is not greatly helpful because it is a problem in the design of the PC itself, and has no great relationship with the speed of the CPU.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (5)
1. A meteorological parameter detection system based on snowflake shape analysis, comprising:
the content analysis equipment is connected with the bilateral filtering fuzzy equipment and is used for taking pixel points of which the brightness values in the bilateral filtering image fall within a preset snowflake brightness range as snowflake pixel points and combining all snowflake pixel points in the bilateral filtering image to obtain all snowflake patterns in the bilateral filtering image;
the shape extraction device is connected with the content analysis device and used for classifying the shapes of the snowflake patterns and outputting the shapes with the highest occurrence frequency as reference shapes;
the humidity mapping equipment is connected with the shape extraction equipment and used for determining corresponding weather humidity based on the received reference shape, wherein the higher the fluffiness degree of the reference shape is, the lower the corresponding weather humidity is;
the network camera equipment is arranged at a meteorological monitoring point and used for executing camera shooting operation on a current monitoring area so as to obtain and output a corresponding field shooting image;
the real-time processing equipment is connected with the network camera equipment and is used for receiving the field shot image, identifying the content complexity of the field shot image and carrying out region division operation on the field shot image based on the acquired content complexity so as to obtain each image region;
the block acquisition equipment is connected with the real-time processing equipment and is used for receiving each image area of the field shot image and selecting an image area superposed with the character from the field shot image as a reference image area by adopting a character selection mode;
the mean value calculation equipment is connected with the block acquisition equipment and is used for performing mean value calculation on each definition of each reference image area to obtain a reference mean value, and performing definition enhancement processing on the whole field shot image based on the reference mean value to obtain and output a field processed image;
bilateral filtering fuzzy equipment connected with the mean value computing equipment and used for executing bilateral filtering fuzzy processing on the received field processing image so as to obtain and output a corresponding bilateral filtering image;
wherein performing sharpness enhancement processing on the entire live-shot image based on the reference mean value comprises: the lower the reference mean value is, the larger the amplitude of performing definition enhancement processing on the whole field shot image is;
the real-time processing equipment comprises pixel value analysis sub-equipment, and is used for acquiring each pixel value of each pixel point of the field shot image and performing duplication elimination processing on each pixel value to acquire the number of the duplicated pixel values;
wherein, in the real-time processing device, the content complexity of the live shot image is proportional to the number of the pixel values after the duplication removal;
in the real-time processing device, performing a region division operation on the live photographic image based on the acquired content complexity includes: the higher the complexity of the obtained content is, the more the number of each image area obtained by carrying out area division operation on the field shot image is;
the content analysis equipment is realized by adopting a CPLD device, and the CPLD device is designed by adopting VHDL;
the shape extraction equipment is a GPU processor, and a timer and a ROM (read only memory) are arranged in the GPU processor;
the GPU is a display chip capable of supporting polygon conversion and light source processing from hardware, and since the polygon conversion and the light source processing are part of 3D rendering, functions to calculate a 3D position of a polygon and process dynamic ray effects, also referred to as geometric processing.
2. The snowflake shape analysis based meteorological parameter detection system of claim 1, wherein:
and the content analysis device and the shape extraction device are in data connection and data interaction through a 32-bit parallel data interface.
3. The snowflake shape analysis based meteorological parameter detection system of claim 2, wherein:
the content analysis device and the shape extraction device share the same field timing device and share the same power input device.
4. The snowflake shape analysis based meteorological parameter detection system of claim 3, wherein:
and a data caching device is also arranged between the content analysis device and the shape extraction device.
5. The snowflake shape analysis based meteorological parameter detection system of claim 4, wherein:
the data caching device is connected with the content analysis device and the shape extraction device through two data interfaces respectively.
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| CN201910902976.0A CN111626088B (en) | 2019-09-24 | 2019-09-24 | Meteorological parameter detection system based on snowflake shape analysis |
| GBGB2014807.8A GB202014807D0 (en) | 2019-09-24 | 2020-09-21 | Meteorological parameter detection system based on snowflake shape analysis |
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| CN201910902976.0A CN111626088B (en) | 2019-09-24 | 2019-09-24 | Meteorological parameter detection system based on snowflake shape analysis |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104647551A (en) * | 2013-11-20 | 2015-05-27 | 王艳 | Fun toy production process |
| CN109151318A (en) * | 2018-09-28 | 2019-01-04 | 成都西纬科技有限公司 | A kind of image processing method, device and computer storage medium |
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| CN103033857A (en) * | 2012-12-25 | 2013-04-10 | 中国人民解放军理工大学 | Rainfall and snowfall automatic observation method based on parallel light large visual field |
| CN103439756B (en) * | 2013-07-31 | 2016-02-10 | 中国人民解放军理工大学 | A kind of natural precipitation particle Microphysical Characteristics measuring method based on Particle Image Velocity |
| CN106546513B (en) * | 2016-11-02 | 2019-04-23 | 中国人民解放军理工大学 | A kind of three-dimensional precipitation particle measurement based on orthogonal double-view field and reconstruct device and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104647551A (en) * | 2013-11-20 | 2015-05-27 | 王艳 | Fun toy production process |
| CN109151318A (en) * | 2018-09-28 | 2019-01-04 | 成都西纬科技有限公司 | A kind of image processing method, device and computer storage medium |
Non-Patent Citations (1)
| Title |
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| 雪晶生成过程机理;宋玫峰等;《制冷与空调》;20040630;第4卷(第3期);42-46 * |
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| GB202014807D0 (en) | 2020-11-04 |
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