CN115080629B - Meteorological element forecasting system and method based on remote sensing technology - Google Patents
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Abstract
The invention relates to the technical field of meteorological forecasting, in particular to a meteorological element forecasting system and method based on a remote sensing technology. The data acquisition terminal comprises a data acquisition module, a preprocessing module for stripping and classifying acquired meteorological element parameters, a construction module for constructing a space vector database based on the stripped and classified meteorological element parameters, and a data storage module for intelligently storing meteorological element acquisition signal data in different areas; the signal processing terminal comprises a data receiving module, an image processing module, a data integration module, a data correction module for performing linear weighting and geometric correction on integrated data and structured processing data, and an algorithm module for performing algorithm processing analysis on various data. According to the method, through a core algorithm formula, the initial state parameters acquired by a remote sensing technology are utilized for algorithm analysis, so that data are integrated in real time, an algorithm analysis value and a simulation image and trend are obtained, and the accuracy and the efficiency of weather forecast are improved.
Description
Technical Field
The invention relates to the technical field of meteorological forecasting, in particular to a meteorological element forecasting system and method based on a remote sensing technology.
Background
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. However, the existing weather forecasting system has a simple structure and a single function, is not intelligent enough, and changes of weather are instantaneous and variable, so that the latest and most accurate weather forecasting can be obtained only by processing a large amount of real-time data. Furthermore, the level of the remote sensing technology in the prior art is also more and more intelligent, the modern remote sensing technology mainly comprises links of information acquisition, transmission, storage, processing and the like, a whole set of system for completing the functions is called a remote sensing system, and the core component of the system is a remote sensor for acquiring information. The research on weather forecast based on remote sensing technology is less and more superficial at present, and it is difficult to efficiently obtain accurate judgment of weather element forecast. Therefore, a system and a method for forecasting meteorological elements based on remote sensing technology are needed.
Disclosure of Invention
The invention provides a meteorological element forecasting system and a meteorological element forecasting method based on a remote sensing technology, which aim to solve the technical problems that the meteorological element forecasting function in the prior art is single, the meteorological element forecasting function is not intelligent enough, and the latest and most accurate meteorological forecast can be obtained only by processing a large amount of real-time data.
The invention relates to a meteorological element forecasting system and a meteorological element forecasting method based on a remote sensing technology, which adopt the following technical scheme:
a meteorological element forecasting system based on a remote sensing technology comprises a data acquisition terminal, a signal processing terminal and a cloud background data analysis terminal;
the data acquisition terminal comprises a data acquisition module for acquiring meteorological elements, a preprocessing module for stripping and classifying the acquired meteorological element parameters, a construction module for constructing a space vector database based on the stripped and classified meteorological element parameters, and a data storage module for intelligently storing meteorological element acquisition signal data in different areas;
the signal processing terminal comprises a data receiving module for receiving preprocessed data and space vector data of the data acquisition terminal, an image processing module for performing regularization processing on remote sensing monitoring data and sampling image information received by the data receiving module, a data integration module for sorting dynamic parameter change data of an image element in a sampling space received by the data receiving module, a data correction module for performing linear weighting and geometric correction on the integrated data and the regularized data, an algorithm module for performing algorithm processing analysis on various data and a network transmission module for performing signal transmission on the various data acquired based on the remote sensing technology;
the cradle head platform data analysis terminal comprises a network receiving module for receiving data transmitted by the network transmission module, a oscillogram module for presenting time trends of various meteorological element parameters acquired based on a remote sensing technology, an image analysis module for displaying images, an evaluation processing module for acquiring various original parameters in an atmospheric environment based on the remote sensing technology and carrying out comprehensive analysis on linear weighting algorithm result values in the algorithm module, and an environment simulating trend module for acquiring meteorological element original values and algorithm reference value analysis based on the remote sensing technology.
As a preferred technical scheme: the core algorithm formula in the algorithm module comprises:
k is a distribution characteristic parameter based on error correction of a remote sensing technology;
a first set specific gravity value varying with the state based on the remote sensing mapping model;
a second set specific gravity value varying with the state based on the remote sensing mapping model;
the method comprises the steps of obtaining a foot point error reference value corresponding to an mth first scanning image and an nth first scanning image in a remote sensing mapping model; f is the vector in the data correction moduleThe data corrects the reference value.
Further preferred technical scheme: the core formula in the data correction module is as follows:
wherein f is a correction balance coefficient which is initially set,
is the maximum modified balance coefficient.
As a preferred technical scheme: the data acquisition module is a multispectral scanner and a meteorological monitoring sensor, so that the data acquisition module can acquire various meteorological element parameters in real time.
As a preferred technical scheme: a Key-midea data system is adopted for establishing a space vector database in the structural modeling block, wherein a WPS-office system is adopted for a text database; establishing a data sampling and statistical database by adopting an Excel system and a MySQL system; the establishment of the database comprises the work of data classification storage, data classification coding, vectorization, editing, retrieval comparison and storage of the existing database and the like.
As a preferred technical scheme: and the carriers of the data acquisition terminal and the signal processing terminal are remote sensing unmanned aerial vehicles.
As a preferred technical scheme: the network transmission module adopts a 5G network transmission protocol or satellite communication.
A method for using a remote sensing technology-based meteorological element forecasting system comprises the following steps:
a. acquiring weather element parameters in a designated area through a data acquisition module, wherein the weather element parameters comprise diversified sensor sensing data parameters and scanning image display;
b. filtering, stripping and classified storage are carried out on diversified data acquired by a data acquisition module, wherein the diversified video data comprise air pressure, air temperature, humidity, wind, cloud, visibility, evaporation, radiation, sunlight, rain, snow, fog, sand storm and haze;
c. according to the principle and the target of database establishment, a centralized and distributed storage form of the database is implemented, and the database types comprise a space vector database, a text database and a oscillogram trend database; the atmospheric motion change is the result of the change of various meteorological elements under the radiation from the sun, and is described and recorded by a differential equation;
d. data storage is carried out on various reference data of the data acquisition terminal, so that self-storage of the data can be realized under the state of network unsmooth;
e. the data integration module is used for integrating dynamic parameter change data of the meteorological elements in the sampling space received by the data receiving module, carrying out linear weighting and geometric correction on the integrated data and the structured processing data, and further carrying out algorithm processing analysis on various data through a core algorithm formula to obtain an algorithm reference value;
f. the network transmission module is used for transmitting signals of diversified data acquired based on a remote sensing technology to the cloud background data analysis terminal;
g. the time trend of each meteorological element parameter is obtained based on a remote sensing technology through the oscillogram module, and the image is displayed on a display terminal through the image analysis module; then, comprehensively analyzing various original parameters in the atmospheric environment, linear weighting algorithm result values in the algorithm module and a simulation test model simulation algorithm of a computer, which are acquired based on the remote sensing technology, through an evaluation module to obtain a simulated environment trend of meteorological element original values and algorithm reference value analysis, which are acquired based on the remote sensing technology;
h. and g, further analyzing the forecast values of the pressure, height, temperature, humidity and wind speed vectors at a certain future moment, each place and each height in the area based on the reference data in the step g, so as to obtain a future weather map and further make forecast of each meteorological element.
The invention has the beneficial effects that: the remote sensing technology based on the remote sensing weather forecast system is characterized in that a multispectral scanner is used for displaying images of environmental parameters in an area, and meanwhile, various weather parameters can be acquired through a weather monitoring sensor, the various weather data comprise air pressure, air temperature, humidity, wind, cloud, visibility, evaporation, radiation, sunshine, rain, snow, fog, sand storm, haze and other parameters, a centralized and distributed storage form of a database is implemented according to the principle and the target established by the database, and the database type comprises a space vector database, a text database and a oscillogram trend database; the atmospheric motion change is the result of the change of each meteorological element under the radiation from the sun, and is described and recorded by a differential equation, so that the time trend of each meteorological element parameter obtained based on the remote sensing technology is presented by a oscillogram module, and the image is displayed on a display terminal by an image analysis module; then, comprehensively analyzing various original parameters in the atmospheric environment acquired based on the remote sensing technology and the result value of the linear weighting algorithm in the algorithm module through the evaluation module to obtain the simulated environment trend of the original value of the meteorological elements acquired based on the remote sensing technology and the analysis of the algorithm reference value, thereby obtaining a future weather map and further making the forecast of each meteorological element; the method further performs algorithm analysis by using the initial state parameters acquired by the remote sensing technology through a core algorithm formula, so as to integrate data in real time, obtain an algorithm analysis value and a simulation image and trend, and improve the accuracy and the efficiency of weather forecast.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is an overall connection schematic block diagram of a meteorological element forecasting system based on remote sensing technology according to the present invention;
fig. 2 is a flow chart of a method of the meteorological element forecasting system based on the remote sensing technology according to the invention.
In the figure: the system comprises a data acquisition terminal, a data acquisition module, a 111 multispectral scanner, a 112 meteorological monitoring sensor, a 12 preprocessing module, a 13 construction module, a 14 data storage module, a 2 signal processing terminal, a 21 data receiving module, a 22 image processing module, a 23 integration module, a 24 data correction module, a 25 algorithm module, a 26 network transmission module, a 3 cloud background data analysis terminal, a 31 network receiving module, a 32 oscillogram module, a 33 image analysis module, a 34 evaluation processing module and a 35 simulated environment trend module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can, for example, be fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example (b): as shown in fig. 1-2:
a meteorological element forecasting system based on remote sensing technology comprises a data acquisition terminal 1, a signal processing terminal 2 and a cloud background data analysis terminal 3; the carriers of the data acquisition terminal 1 and the signal processing terminal 2 are remote sensing unmanned aerial vehicles. And the real-time and quick data acquisition is convenient to realize.
The data acquisition terminal 1 comprises a data acquisition module 11 for acquiring meteorological elements, a preprocessing module 12 for stripping and classifying the acquired meteorological element parameters, a construction module 13 for constructing a space vector database based on the stripped and classified meteorological element parameters, and a data storage module 14 for intelligently storing meteorological element acquisition signal data in different areas; the data acquisition module 11 includes a multispectral scanner 111 and meteorological monitoring sensors 112 to enable the data acquisition module to acquire a variety of meteorological parameters in real time. In this embodiment, the meteorological monitoring sensor may be a comprehensive meteorological parameter sensor, or may be a plurality of meteorological parameter sensors classified into a single meteorological parameter.
A Key-midea data system is adopted for establishing a space vector database in the construction module 13, wherein a WPS-office system is adopted for a text database; the domestic system is more stable, and the data encryption is convenient for protecting. Establishing a data sampling and statistical database by adopting an Excel system and a MySQL system; the establishment of the database comprises the work of data classification storage, data classification coding, vectorization, editing, retrieval comparison and storage of the existing database and the like. The diversified weather data comprises parameters such as air pressure, air temperature, humidity, wind, cloud, visibility, evaporation, radiation, sunshine, rain, snow, fog, sand storm, haze and the like, a centralized and distributed storage form of the database is implemented according to the principle and the target established by the database, and the database types comprise a space vector database, a text database and a oscillogram trend database.
The signal processing terminal 2 comprises a data receiving module 21 for receiving the preprocessed data and the space vector data of the data acquisition terminal, an image processing module 22 for performing regularization processing on the remote sensing monitoring data and the sampled image information received by the data receiving module, a data integrating module 23 for collating the dynamic parameter change data of the image elements in the sampling space received by the data receiving module, a data correcting module 24 for performing linear weighting and geometric correction on the integrated data and the regularized data, an algorithm module 25 for performing algorithm processing analysis on various data, and a network transmission module 26 for performing signal transmission on the various data acquired based on the remote sensing technology; the network transmission module 26 adopts a 5G network transmission protocol or satellite communication. By the arrangement, the meteorological element forecasting system is more efficient and stable in signal transmission, and meanwhile, the fidelity of data signal transmission is improved.
The tripod head data analysis terminal 3 comprises a network receiving module 31 for receiving data transmitted by the network transmission module, a oscillogram module 32 for presenting time trends of various meteorological element parameters acquired based on the remote sensing technology, an image analysis module 33 for displaying images, an evaluation processing module 34 for acquiring various original parameters in the atmospheric environment based on the remote sensing technology and performing comprehensive analysis on linear weighting algorithm result values in the algorithm module, and a simulated environment trend module 35 for acquiring meteorological element original values and algorithm reference value analysis based on the remote sensing technology. By the arrangement, algorithm analysis is performed through a core algorithm to obtain a prediction reference value, comparison and trend simulation are performed, the trend of meteorological elements developing in a certain time period in the future is obtained, and accuracy and efficiency of meteorological forecasting are improved.
In this embodiment, the core algorithm formula in the algorithm module includes:
k is a distribution characteristic parameter based on error correction of a remote sensing technology;
a first set specific gravity value varying with the state based on the remote sensing mapping model;
a second set specific gravity value varying with the state based on the remote sensing mapping model;
the method comprises the steps of obtaining a foot point error reference value corresponding to an mth first scanning image and an nth first scanning image in a remote sensing mapping model; and F is a vector data correction reference value in the data correction module.
In this embodiment, the core formula in the data correction module is:
wherein f is a correction balance coefficient which is initially set,
is the maximum modified balance coefficient. Based on remote sensing technology, sampling environment parameters in the region are rapidly obtained, a database is rapidly built, stripping and algorithm processing are carried out on a certain meteorological element in real time, and corresponding meteorological state analysis and simulation trends are obtained.
As shown in fig. 2: a method for using a remote sensing technology-based meteorological element forecasting system comprises the following steps:
a. acquiring weather element parameters in a designated area through a data acquisition module, wherein the weather element parameters comprise diversified sensor sensing data parameters and scanning image display;
b. filtering, stripping and classified storage are carried out on diversified data acquired by the data acquisition module, wherein the diversified weather data comprises air pressure, air temperature, humidity, wind, cloud, visibility, evaporation, radiation, sunshine, rain, snow, fog, sand storm and haze;
c. according to the principle and the target of database establishment, a centralized and distributed storage form of the database is implemented, and the database types comprise a space vector database, a text database and a oscillogram trend database; the atmospheric motion change is the result of the change of various meteorological elements under the radiation from the sun, and is described and recorded by a differential equation;
d. data storage is carried out on various reference data of the data acquisition terminal, so that self-storage of the data can be realized under the state of network unsmooth;
e. the data integration module is used for integrating dynamic parameter change data of the meteorological elements in the sampling space received by the data receiving module, carrying out linear weighting and geometric correction on the integrated data and the structured processing data, and further carrying out algorithm processing analysis on various data through a core algorithm formula to obtain an algorithm reference value;
f. the network transmission module is used for transmitting signals of diversified data acquired based on a remote sensing technology to the cloud background data analysis terminal;
g. the time trend of each meteorological element parameter is obtained based on a remote sensing technology through the oscillogram module, and the image is displayed on a display terminal through the image analysis module; the background is provided with a staff for monitoring and terminal command operation guidance. And then, comprehensively analyzing various original parameters in the atmospheric environment acquired based on the remote sensing technology and the simulated measurement simulation algorithm result values in the algorithm module through an evaluation module, wherein the simulated environment trend of the meteorological element original values and the algorithm reference value analysis acquired based on the remote sensing technology is obtained through a linear weighting algorithm formula and a computer program in the evaluation module and with the assistance of the simulated measurement model simulation algorithm technology. The simulated environment trend also comprises a curve trend graph and a dynamic distribution graph which are used for visually displaying the distribution of meteorological elements.
h. And g, further analyzing the predicted values of the pressure, height, temperature, humidity and wind speed vectors at a certain future time, each place and each height in the area based on the reference data in the step g, so as to obtain a future weather map and further forecast each meteorological element.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A meteorological element forecasting system based on remote sensing technology is characterized in that: the system comprises a data acquisition terminal, a signal processing terminal and a cloud background data analysis terminal;
the data acquisition terminal comprises a data acquisition module for acquiring meteorological elements, a preprocessing module for stripping and classifying the acquired meteorological element parameters, a construction module for constructing a space vector database based on the stripped and classified meteorological element parameters, and a data storage module for intelligently storing meteorological element acquisition signal data in different areas;
the signal processing terminal comprises a data receiving module for receiving preprocessed data and space vector data of the data acquisition terminal, an image processing module for performing regularization processing on remote sensing monitoring data and sampling image information received by the data receiving module, a data integration module for sorting dynamic parameter change data of an image element in a sampling space received by the data receiving module, a data correction module for performing linear weighting and geometric correction on the integrated data and the regularized data, an algorithm module for performing algorithm processing analysis on various data and a network transmission module for performing signal transmission on the various data acquired based on the remote sensing technology;
the cloud background data analysis terminal comprises a network receiving module for receiving data transmitted by the network transmission module, a oscillogram module for presenting time trend of each meteorological element parameter obtained based on a remote sensing technology, an image analysis module for displaying images, an evaluation processing module for obtaining each original parameter in an atmospheric environment based on the remote sensing technology and performing comprehensive analysis on a linear weighting algorithm result value in the algorithm module, and a simulated environment trend module for obtaining the meteorological element original value and an algorithm reference value based on the remote sensing technology;
the core algorithm formula in the algorithm module comprises:
k is a distribution characteristic parameter based on error correction of a remote sensing technology; a is m A first set specific gravity value varying with the state based on the remote sensing mapping model; b n A second set specific gravity value varying with the state based on the remote sensing mapping model; e.g. of the type mn The method comprises the steps of obtaining a foot point error reference value corresponding to an mth first scanning image and an nth first scanning image in a remote sensing mapping model; f is a vector data correction reference value in the data correction module;
the core formula in the data correction module is as follows:
wherein f is a correction balance coefficient set initially, f max Is the maximum modified balance coefficient.
2. The meteorological element forecasting system based on remote sensing technology of claim 1, characterized in that: the data acquisition module comprises a multispectral scanner and a meteorological monitoring sensor, so that the data acquisition module can acquire various meteorological element parameters in real time.
3. The meteorological element forecasting system based on remote sensing technology of claim 1, characterized in that: a Key-midea data system is adopted for establishing a space vector database in the structural modeling block, wherein a WPS-office system is adopted for a text database; establishing a data sampling and statistical database by adopting an Excel system and a MySQL system; the database establishment comprises data classification storage, data classification coding, vectorization, editing, retrieval comparison of the existing database and storage.
4. The remote sensing technology-based meteorological element forecasting system according to claim 1, wherein: and the carriers of the data acquisition terminal and the signal processing terminal are remote sensing unmanned aerial vehicles.
5. The meteorological element forecasting system based on remote sensing technology of claim 1, characterized in that: the network transmission module adopts a 5G network transmission protocol or satellite communication.
6. A method of using a remote sensing technology based meteorological element forecasting system as claimed in claim 1, comprising the steps of:
a. acquiring weather element parameters in a designated area through a data acquisition module, wherein the weather element parameters comprise diversified sensor sensing data parameters and scanning image display;
b. filtering, stripping and classified storage are carried out on diversified data acquired by a data acquisition module, wherein the diversified video data comprise air pressure, air temperature, humidity, wind, cloud, visibility, evaporation, radiation, sunlight, rain, snow, fog, sand storm and haze;
c. according to the principle and the target of database establishment, a centralized and distributed storage form of the database is implemented, and the database types comprise a space vector database, a text database and a oscillogram trend database; the atmospheric motion change is the result of the change of various meteorological elements under the radiation from the sun, and is described and recorded by a differential equation;
d. the data acquisition terminal stores the various reference data to realize self-storage of the data in a state of network unsmooth;
e. the data integration module is used for integrating dynamic parameter change data of the meteorological elements in the sampling space received by the data receiving module, carrying out linear weighting and geometric correction on the integrated data and the structured processing data, and further carrying out algorithm processing analysis on various data through a core algorithm formula to obtain an algorithm reference value;
f. the network transmission module is used for transmitting signals of diversified data acquired based on a remote sensing technology to the cloud background data analysis terminal;
g. the time trend of each meteorological element parameter is obtained based on a remote sensing technology through the oscillogram module, and the image is displayed on a display terminal through the image analysis module; then, comprehensively analyzing various original parameters in the atmospheric environment, linear weighting algorithm result values in the algorithm module and a simulated measurement model simulation algorithm of a computer, which are acquired based on the remote sensing technology, through an evaluation module to obtain a simulated environment trend of meteorological element original values and algorithm reference value analysis, which are acquired based on the remote sensing technology;
h. and g, further analyzing the predicted values of the pressure, height, temperature, humidity and wind speed vectors at a certain future time, each place and each height in the area based on the reference data in the step g, so as to obtain a future weather map and further forecast each meteorological element.
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