CN115907268A - Integrated forecast meteorological resource integrated management method and system - Google Patents
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Abstract
The invention provides a method and a system for integrated forecast meteorological resource comprehensive management, which relate to the technical field of meteorological resource management, and the method comprises the following steps: connecting a meteorological data query system of a target management area to acquire historical meteorological data; performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics; dividing the target management area based on the area meteorological features to obtain a plurality of sub-areas; acquiring a demand meteorological characteristic based on a real-time management target; matching and analyzing the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees; according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identified sub-regions; and outputting the identification subarea through the forecast meteorological resource comprehensive management system. The technical problem that the utilization efficiency of meteorological resources is low due to the fact that meteorological data are not utilized to conduct regional prediction in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of meteorological resource management, in particular to a method and a system for integrated forecast meteorological resource comprehensive management.
Background
Nowadays of high-speed development of science and technology, more and more meteorological resources are known and discovered by human beings and are directly converted into novel productivity, and in recent decades, energy crisis and environmental problems are increasingly highlighted, so that various countries around the world also develop new energy, wherein wind power and photovoltaic power generation are main forces of the new energy, and large-scale development of the new energy is strategic demand of national economic and social sustainable development. Solar energy (photovoltaic) and wind energy are high-quality new energy which are widely distributed and safe to use, however, the new energy is different from the traditional energy and has the biggest characteristic of random fluctuation caused by the influence of external environments such as illumination intensity, temperature, wind speed and the like, for example, a common fan generates more power when wind is strong, but sometimes the fan does not generate more power because of the problem of the wind direction although the wind is strong, the photovoltaic is similar, the power generation is more stable in sunny days, and the output is lower in cloudy days. Therefore, it is a significant subject to predict the new energy output power by using the meteorological data to perform meteorological forecast, obtaining the prediction data of illumination intensity, temperature, wind speed, and the like. Accordingly, how to predict regional weather by using the historical weather data to realize efficient and accurate comprehensive management of weather resources becomes an important research topic. In the prior art, the meteorological data are not utilized to predict the region, so that the utilization efficiency of meteorological resources is low.
Disclosure of Invention
The application provides a method and a system for integrated forecast meteorological resource comprehensive management, which are used for solving the technical problem that the utilization efficiency of meteorological resources is low due to the fact that meteorological data are not utilized and regional forecast is carried out in the prior art.
In view of the above problems, the present application provides a method and a system for integrated forecast of meteorological resources.
In a first aspect, the present application provides a method for integrated forecast meteorological resource management, where the method includes: connecting a meteorological data query system of a target management area to acquire data and obtain historical meteorological data; performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics; dividing the target management area based on the area meteorological features to obtain a plurality of sub-areas; acquiring a required meteorological feature based on a real-time management target; performing matching analysis on the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions; according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identification sub-regions; and outputting the identified subarea through the forecast meteorological resource comprehensive management system.
In a second aspect, the present application provides an ensemble forecasting meteorological resources integrated management system, the system comprising: the historical data acquisition module is used for connecting a meteorological data query system of a target management area to acquire data and acquire historical meteorological data; the characteristic analysis module is used for carrying out characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics; the region dividing module is used for dividing the target management region based on the regional meteorological features to obtain a plurality of sub-regions; the system comprises a demand meteorological feature acquisition module, a real-time management target acquisition module and a real-time management target acquisition module, wherein the demand meteorological feature acquisition module is used for acquiring demand meteorological features based on a real-time management target; the characteristic matching analysis module is used for performing matching analysis on the regional meteorological characteristics and the required meteorological characteristics and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions; the area identification module is used for carrying out area identification on the plurality of sub-areas according to the plurality of weather matching degrees and outputting identification sub-areas; and the management output module is used for outputting the identification subarea through the forecast meteorological resource comprehensive management system.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the comprehensive management method for the ensemble forecasting meteorological resources is adopted, the meteorological data query system connected with the target management area carries out data acquisition to obtain historical meteorological data; performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics; dividing the target management area based on the regional meteorological features to obtain a plurality of sub-areas; acquiring a demand meteorological characteristic based on a real-time management target; performing matching analysis on the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees correspond to the sub-regions one to one; according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identified sub-regions; and outputting the identified subarea through the forecast meteorological resource comprehensive management system. According to the method and the device, the climate characteristics of the region are checked, the prediction demand needing to be carried out in real time is subjected to region matching according to the climate characteristics, the recommended sub-region is output, and the reasonable utilization of meteorological resources is realized.
Drawings
FIG. 1 is a flow chart of a method for integrated forecast weather resource management according to the present application;
fig. 2 is a schematic diagram illustrating a supplementary flow of historical meteorological data in a method for integrated forecast meteorological resource integrated management according to the present application;
fig. 3 is a schematic diagram illustrating a flow of acquiring a sub-area in an ensemble forecasting meteorological resource integrated management method provided by the present application;
fig. 4 is a schematic structural diagram of an integrated forecast meteorological resource management system according to the present application.
Description of reference numerals: the system comprises a historical data acquisition module 1, a characteristic analysis module 2, a region division module 3, a demand meteorological characteristic acquisition module 4, a characteristic matching analysis module 5, a region identification module 6 and a management output module 7.
Detailed Description
The method for comprehensively managing the ensemble forecasting meteorological resources comprises the steps of firstly connecting a meteorological data query system in a target management area to collect data and obtain historical meteorological data; performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics; dividing the target management area based on the area meteorological features to obtain a plurality of sub-areas; acquiring a required meteorological feature based on a real-time management target; performing matching analysis on the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions; according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identification sub-regions; the identification sub-regions are output through the weather resource forecasting comprehensive management system, the technical problem that the utilization efficiency of weather resources is low due to the fact that weather data is not utilized to conduct region forecasting in the prior art is solved, and the prediction needs to be conducted in real time are subjected to region matching through checking the climate characteristics of the regions according to the climate characteristics, and recommended sub-regions are output.
Example one
As shown in fig. 1, the present application provides a method for integrated forecast meteorological resources management, which is applied to an integrated forecast meteorological resources management system, the system is connected to a data acquisition device in communication, and the method includes:
step S100: the meteorological data query system connected with the target management area performs data acquisition to acquire historical meteorological data;
specifically, the method for integrally managing forecast meteorological resources is applied to an integrally managing system for forecast meteorological resources, the method serves for forecasting new energy power, the integrally managing system for forecast meteorological resources is used for forecasting regional meteorology and managing meteorological resources according to meteorological requirements, a data acquisition device is used for acquiring meteorological data of a target management region, and the integrally managing system for forecast meteorological resources is in communication connection with the data acquisition device, so that mutual information transmission can be achieved. The method comprises the steps of firstly connecting a meteorological data query system of a target management area to obtain historical meteorological data of the target management area, wherein the target management area is an area where a forecast station is to be established, the historical meteorological data refers to meteorological data of the area in the past period, the meteorological data comprises temperature, humidity, wind direction and speed, illumination intensity, air pressure intensity, precipitation amount and the like, for example, zhengzhou city is used as a target management area, and the meteorological data query system of the Zhengzhou city is connected to obtain the illumination intensity, the temperature, the humidity, the wind speed and the like of each place in the Zhengzhou city in the past year, so that the historical meteorological data is collected, and the basis for area forecast is further carried out.
Step S200: performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics;
specifically, after historical meteorological data is acquired, characteristic analysis is carried out, the meteorology in the whole area is not necessarily the same, various meteorology are analyzed, the change and the distribution area of each meteorology are analyzed, area clustering is carried out according to the distribution area of each meteorology, namely, various meteorology are distributed in the whole large area, and the areas with similar meteorological characteristics are classified into one type. For example, the meteorological data of a certain county in the past year is collected, the collected data includes the temperature, the humidity, the wind direction and the wind speed, the illumination intensity, the air pressure intensity and the like of the county in the past year, places with strong sunlight can be divided into one type according to different illumination intensities, places with weak sunlight can be divided into one type, places with high wind speed can be divided into one type according to the wind speed, places with low wind speed can be divided into one type, the same method is used for dividing places with similar climatic features into one type according to the climatic features of the temperature, the humidity, the air pressure and the like, and the regional meteorological features are important bases for subsequent subregion division.
Step S300: dividing the target management area based on the area meteorological features to obtain a plurality of sub-areas;
specifically, with regional meteorological features as a reference, determining meteorological data extreme value features and variation features, such as intensity of illumination, wind speed and the like, in a target management region, performing regional division on the target management region, thereby dividing a plurality of sub-regions, exemplarily, taking a city region as the target management region, collecting historical meteorological data in the city region, analyzing meteorological features, such as wind speed, and average wind speed of each region in the city in the past year: and a region A: 14.6m/s, B region: 10.8m/s, zone C: 7.2m/s, zone D: 9.1m/s, zone E: 4.6m/s: and a region F: 8.0m/s; a G region: 2.7m/s, H region: 3.1m/s, it can be obtained that in the past year, the average wind speed of the city A area is the largest, the average wind speed of the city G area is the smallest, the area with the wind speed larger than 7m/s is taken as a sub-area according to the wind speed, the area with the wind speed between 3 and 7m/s is divided into the sub-areas, and the area with the wind speed lower than 3m/s is divided into the sub-areas, so that three sub-areas are divided, the weather in the city not only contains the wind speed, and the illumination intensity can be analyzed again, the area with higher altitude, stronger illumination intensity and lower altitude can be divided into a plurality of sub-areas according to the intensity of the illumination intensity, and similarly, the sub-areas can be continuously divided according to the temperature, the humidity and the like, and finally a plurality of sub-areas are divided.
Step S400: acquiring a demand meteorological characteristic based on a real-time management target;
specifically, the integrated forecast meteorological resource integrated management method provided by the application is used for predicting the power of new energy, so that the real-time management target is the new energy which is required to be served by people, for example, the wind power generation in a certain area is required, the wind power generation in the area is required, the wind motor possibly has requirements on the ambient temperature and humidity, and the requirements on the climate are the required meteorological characteristics of the real-time management target, such as the wind speed is more than what, the illumination intensity is more than what, the temperature range and the like, for example, the wind power generation in a certain urban area is required, and the climatic characteristics required by the wind power generation are determined, such as the annual average wind speed is more than 7m/s, and the temperature requirement is-20-45 ℃.
Step S500: performing matching analysis on the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions;
specifically, the regional meteorological features are obtained by analyzing according to historical meteorological data in a target management region, the required meteorological features are climatic features required by a real-time management target, the regional meteorological features and the required meteorological features are compared, a plurality of meteorological matching degrees are output, the meteorological matching degrees refer to the similarity between the regional meteorological features and the required meteorological features, the meteorological matching degrees correspond to a plurality of sub-regions one by one, namely each sub-region corresponds to one meteorological matching degree, for example, a certain urban region is used as a target management region, the historical meteorological data in the region are analyzed, 20 sub-regions are divided according to the meteorological features, the required meteorological features are that the annual average wind speed is greater than 10m/s, the temperature is-30-40 ℃, then the meteorological features of the 20 sub-regions are compared with the required meteorological features, and the matching degree between the meteorological features of each sub-region and the required meteorological features is output.
Step S600: according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identified sub-regions;
specifically, in step S500, a weather matching degree between the weather feature of each sub-region and the weather feature required is obtained, where a plurality of weather matching degrees are different, where a matching degree that we expect to achieve may be preset, then the plurality of weather matching degrees and the preset matching degree are compared to obtain sub-regions whose weather matching degree is greater than or equal to the preset matching degree, the sub-regions are identified and identified, for example, we currently have 10 sub-regions, the weather feature of the 10 sub-regions and the weather feature required are matched to obtain 10 matching degrees corresponding to the 10 sub-regions, where the 10 matching degrees are between 0% and 100%, and the matching degree that we expect is 85%, the 10 matching degrees and the preset matching degree are compared to determine sub-regions whose weather matching degree is greater than or equal to 85%, the sub-regions are marked as green, and the identified sub-regions are output.
Step S700: and outputting the identification subarea through the forecast meteorological resource comprehensive management system.
Specifically, the identification sub-regions are regions which meet the needs of people in all aspects and are suitable for building forecasting stations, the forecast weather resource integrated management system is used for forecasting and managing weather resources, after the identification sub-regions are obtained, the identification sub-regions are output by the forecast weather resource integrated management system and recommended to workers, and the workers can select to build the forecasting stations in the regions.
Further, before performing feature analysis according to the historical meteorological data, as shown in fig. 2, step S200 in the embodiment of the present application further includes:
step S210: acquiring an integrity index by carrying out data integrity detection on the historical meteorological data;
step S220: judging whether the integrity index is larger than a preset integrity index or not;
step S230: if the integrity index is larger than the preset integrity index, acquiring a data supplement instruction;
step S240: acquiring supplementary meteorological data according to the data supplementary instruction;
step S250: adding the supplemental meteorological data to the historical meteorological data.
Specifically, historical meteorological data is subjected to data integrity detection to obtain an integrity index, the data integrity detection is to detect whether missing parts exist in the data, namely whether the accuracy and the reliability of the data are enough, the integrity index represents the missing degree of the historical meteorological data, the integrity index is larger, the data are more missing, an integrity index needs to be preset, whether the integrity index is larger than the preset integrity index is judged, if the integrity index is larger than the preset integrity index, the accuracy and the reliability of the collected historical meteorological data are insufficient, so that the regional meteorological features obtained according to the historical meteorological data are inaccurate, subsequent judgment is affected, a data supplement instruction needs to be obtained, the missing meteorological data are determined according to the data supplement instruction to obtain supplement meteorological data, the supplement meteorological data are added into the historical meteorological data, and meteorological feature analysis is performed according to the corrected historical meteorological data to ensure the accuracy of the subsequently obtained regional meteorological features.
Further, based on the regional meteorological features, the target management region is divided to obtain a plurality of sub-regions, as shown in fig. 3, step S300 in this embodiment of the present application further includes:
step S310: acquiring the historical meteorological data, wherein the historical meteorological data is a meteorological data set corresponding to a unit grid;
step S320: performing meteorological feature analysis according to the historical meteorological data, wherein the meteorological feature analysis comprises meteorological data extreme value features and meteorological data change features;
step S330: acquiring a meteorological feature analysis result, wherein the meteorological feature analysis result comprises a data extreme value feature and a data change feature;
step S340: and carrying out grid clustering on the target management region based on the data extreme value characteristics and the data change characteristics to obtain the plurality of sub-regions.
Specifically, historical meteorological data is obtained, wherein the historical meteorological data is a meteorological data set corresponding to a unit grid, the grid is an existing administrative management unit, grid management is an administrative management reform, and a city management jurisdiction is divided into unit grids according to a certain standard by means of a unified city management and digital platform, and the unit grids are unit grids. The method comprises the steps of carrying out meteorological feature analysis according to historical meteorological data, wherein the meteorological feature comprises a meteorological data extreme value feature and a meteorological data change feature, the extreme value feature refers to a maximum value, a minimum value and the change feature is the change trend of the meteorological data, a column statistical chart can be established according to the meteorological data of unit grids, the extreme value feature and the change feature of the meteorological data can be seen more visually, for example, each unit grid is taken as an abscissa, a red column is used for representing illumination intensity, a green column is used for representing wind speed, a yellow column is used for representing temperature and a blue column is used for representing humidity, one unit grid of the abscissa corresponds to the four kinds of data, the illumination intensity corresponding to which grids is stronger, the wind speed corresponding to which grids is larger, the wind speed change of different areas and the like can be seen visually, the needed data extreme value feature and data change feature are obtained, then, grid clustering is carried out according to the meteorological data feature, the grids similar to the meteorological feature are divided to one place, for example, the areas with high wind speed are divided to one place, and the areas with strong illumination are obtained, and a plurality of sub-areas are obtained.
Further, according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting an identified sub-region, in step S600 in this embodiment of the present application, further includes:
step S610: judging the multiple weather matching degrees based on a preset weather matching degree to obtain N sub-regions which are greater than or equal to the preset weather matching degree, wherein N is a positive integer greater than 0, and N is less than the total number of the multiple sub-regions;
step S620: and outputting the identified sub-regions by identifying the N sub-regions.
Specifically, a plurality of sub-regions are divided according to meteorological features, matching analysis is performed on regional meteorological features and required meteorological features, a plurality of meteorological matching degrees are output, then a matching degree is preset according to expectation of the matching degree, the plurality of meteorological matching degrees are judged by taking the preset meteorological matching degree as a reference, whether the plurality of meteorological matching degrees are larger than or equal to the preset meteorological matching degree or not is judged, N sub-regions larger than or equal to the preset meteorological matching degree are obtained, wherein N is a positive integer larger than 0, N is smaller than the total number of the plurality of sub-regions, the N sub-regions are identified, the sub-regions identified by the sub-regions are output, illustratively, 15 sub-regions are divided in a target management region according to the meteorological features, then the meteorological matching degree analysis is performed according to the required meteorological features, 15 meteorological matching degrees corresponding to the 15 sub-regions are obtained, then an expected meteorological matching degree is set, the weather matching degree is 95%, whether the number of the 15 meteorological matching degrees is larger than or equal to 95% or not is judged, the number of the sub-regions is larger than or equal to 95%, and the number of the sub-regions is larger than or equal to 5, and the sub-regions is larger than 5, for example, the number of the sub-meteorological features is equal to say, and the number of the sub-meteorological features is larger than 5.
Further, by identifying the N sub-regions and outputting the identified sub-regions, step S620 in this embodiment further includes:
step S621: acquiring N groups of geological data corresponding to the N sub-regions;
step S622: inputting the N groups of geological data into a geological fitness evaluation model, and acquiring N groups of fitness according to the geological fitness evaluation model;
step S623: acquiring M sub-regions with the fitness being more than or equal to a preset fitness based on the N groups of fitness, wherein M is a positive integer which is more than 0 and less than N;
step S624: and identifying the M sub-regions, and outputting the identified sub-regions.
Specifically, N sub-regions are obtained according to weather matching degrees, that is, from the aspect of weather requirements, the N sub-regions meet weather requirements, then N sets of geological data corresponding to the N sub-regions are acquired, the geological data comprise terrain and topography, geological composition, hydrological conditions, geological structures and the like, whether the geological conditions of the N sub-regions are suitable for establishing a prediction station is determined according to the geological data, no geological damage such as water and soil loss, groundwater pollution and the like can be caused after the prediction station is established, therefore, a geological fitness evaluation model needs to be established, the N sets of geological data are input into the geological fitness evaluation model, the N sets of fitness are acquired according to the geological fitness evaluation model, the fitness can be represented by a number between 0 and 100%, the larger the fitness is, the smaller the influence on the geology is indicated, and the fitness needs to be preset, then, comparing N groups of fitness with the preset fitness to obtain M sub-regions with the fitness being more than or equal to the preset fitness, wherein M is a positive integer with the value of more than 0 and less than N, the M sub-regions are regions with climate characteristics and geological characteristics suitable for building a prediction station, marking the M sub-regions, outputting marked sub-regions, for example, if a prediction station is required to be built, outputting 20 sub-regions meeting the requirement of weather according to the weather matching degree, considering the influence of the building of the prediction station on the geological environment, obtaining 20 groups of geological data corresponding to the 20 sub-regions, inputting the geological data into a geological fitness evaluation model, outputting 20 groups of fitness, setting one expected fitness 90%, judging whether the 20 groups of fitness have the fitness being more than or equal to 90%, wherein the number of the sub-regions with the fitness being more than or equal to 90% is an integer with the value of more than 0 and less than 20, for example, it is found that the fitness of 9 regions is greater than or equal to 90%, then 9 sub-regions with fitness greater than or equal to 90% may be marked as yellow, and finally the region marked by us is output.
Further, identifying the M sub-regions, and outputting the identified sub-regions, step S624 in this embodiment of the present application further includes:
step S6241: acquiring region attribute data of the M sub-regions;
step S6242: and inputting the region attribute data serving as newly added data into the geological fitness evaluation model, performing secondary identification on the M sub-regions according to the geological fitness evaluation model, and outputting the identification sub-regions.
Specifically, in step S624, the obtained M sub-regions are regions where meteorological features and geology all conform to the building of the prediction station, and then region attribute data of the M sub-regions are obtained, where the region attribute data are positions of the sub-regions, it is determined that the M sub-regions are located in a living area, a protected area, a suburban area, a chemical engineering area, and the like, that is, hazards such as noise and the like may be generated when the prediction station is built, it is necessary to keep away from human living areas, protected areas, chemical engineering areas, and the like, the region attribute data corresponding to the M sub-regions are input into a geological fitness evaluation model as new added data, M groups of fitness are output according to the geological fitness evaluation model, secondary identification is performed on the M sub-regions according to the fitness, the sub-regions suitable for building the prediction station are marked as red, and an identification sub-region is output, so far, the sub-regions suitable for building the prediction station are selected, and the identification sub-regions can be subsequently output as recommended sub-regions.
Example two
Based on the same inventive concept as the method for integrated management of ensemble forecasting weather resources in the previous embodiment, as shown in fig. 4, the present application provides an integrated management system for ensemble forecasting weather resources, the system is connected to a data acquisition device in communication, and the system includes:
the historical data acquisition module is used for connecting a meteorological data query system of a target management area to acquire data and acquire historical meteorological data;
the characteristic analysis module is used for carrying out characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics;
the region dividing module is used for dividing the target management region based on the regional meteorological features to obtain a plurality of sub-regions;
the system comprises a demand meteorological feature acquisition module, a real-time management target acquisition module and a real-time management target acquisition module, wherein the demand meteorological feature acquisition module is used for acquiring demand meteorological features based on a real-time management target;
the characteristic matching analysis module is used for performing matching analysis on the regional meteorological characteristics and the required meteorological characteristics and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions;
the area identification module is used for carrying out area identification on the plurality of sub-areas according to the plurality of weather matching degrees and outputting identification sub-areas;
and the management output module is used for outputting the identification subarea through the forecast meteorological resource comprehensive management system.
Further, the system further comprises:
the data integrity detection module is used for carrying out data integrity detection on the historical meteorological data to obtain an integrity index;
the integrity index judging module is used for judging whether the integrity index is larger than a preset integrity index or not;
the data supplement instruction acquisition module is used for acquiring a data supplement instruction if the integrity index is larger than the preset integrity index;
the meteorological data supplement module is used for acquiring supplementary meteorological data according to the data supplement instruction;
and the meteorological data adding module is used for adding the supplementary meteorological data into the historical meteorological data.
Further, the system further comprises:
the grid meteorological data acquisition module is used for acquiring the historical meteorological data, wherein the historical meteorological data is a meteorological data set corresponding to a unit grid;
the meteorological feature analysis module is used for carrying out meteorological feature analysis according to the historical meteorological data and comprises meteorological data extreme value features and meteorological data change features;
the system comprises a characteristic analysis result acquisition module, a characteristic analysis result acquisition module and a characteristic analysis module, wherein the characteristic analysis result acquisition module is used for acquiring a meteorological characteristic analysis result, and the meteorological characteristic analysis result comprises a data extreme value characteristic and a data change characteristic;
and the grid clustering module is used for carrying out grid clustering on the target management area based on the data extreme value characteristics and the data change characteristics to obtain the plurality of sub-areas.
Further, the system further comprises:
the weather matching degree judging module is used for judging the weather matching degrees based on a preset weather matching degree to obtain N sub-regions which are greater than or equal to the preset weather matching degree, wherein N is a positive integer greater than 0, and N is less than the total number of the sub-regions;
and the identifier sub-region output module is used for outputting the identifier sub-region by identifying the N sub-regions.
Further, the system further comprises:
the geological data acquisition module is used for acquiring N groups of geological data corresponding to the N sub-regions;
the geological fitness evaluation module is used for inputting the N groups of geological data into a geological fitness evaluation model and acquiring N groups of fitness according to the geological fitness evaluation model;
a fitness judging module, configured to obtain M sub-regions with a fitness greater than or equal to a preset fitness based on the N groups of fitness, where M is a positive integer greater than 0 and smaller than N;
and the fitness identification module is used for identifying the M sub-regions and outputting the identified sub-regions.
Further, the system further comprises:
the region attribute acquisition module is used for acquiring region attribute data of the M sub-regions;
and the fitness secondary identification module is used for inputting the region attribute data into the geological fitness evaluation model as new data, carrying out secondary identification on the M sub-regions according to the geological fitness evaluation model, and outputting the identification sub-regions.
Through the foregoing detailed description of the method for integrated management of forecast meteorological resources, it will be clear to those skilled in the art that, in the embodiment, the method for integrated management of forecast meteorological resources is simple in description, and for the apparatus disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the relevant points can be referred to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. An integrated forecast meteorological resource management method, applied to an integrated forecast meteorological resource management system, communicatively connected with a data acquisition device, the method comprising:
connecting a meteorological data query system of a target management area to acquire data and obtain historical meteorological data;
performing characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics;
dividing the target management area based on the area meteorological features to obtain a plurality of sub-areas;
acquiring a demand meteorological characteristic based on a real-time management target;
performing matching analysis on the regional meteorological features and the required meteorological features, and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions;
according to the multiple weather matching degrees, performing region identification on the multiple sub-regions, and outputting identification sub-regions;
and outputting the identified subarea through the forecast meteorological resource comprehensive management system.
2. The method of claim 1, wherein prior to performing a signature analysis based on the historical meteorological data, the method further comprises:
acquiring an integrity index by carrying out data integrity detection on the historical meteorological data;
judging whether the integrity index is larger than a preset integrity index or not;
if the integrity index is larger than the preset integrity index, acquiring a data supplement instruction;
acquiring supplementary meteorological data according to the data supplementary instruction;
adding the supplemental meteorological data to the historical meteorological data.
3. The method of claim 1, wherein the target management area is partitioned based on the regional meteorological features to obtain a plurality of sub-areas, the method further comprising:
acquiring the historical meteorological data, wherein the historical meteorological data is a meteorological data set corresponding to a unit grid;
performing meteorological characteristic analysis according to the historical meteorological data, wherein the meteorological characteristic analysis comprises meteorological data extreme value characteristics and meteorological data change characteristics;
acquiring a meteorological feature analysis result, wherein the meteorological feature analysis result comprises a data extreme value feature and a data change feature;
and carrying out grid clustering on the target management area based on the data extreme value characteristics and the data change characteristics to obtain the plurality of sub-areas.
4. The method of claim 1, wherein the plurality of sub-regions are identified according to the plurality of weather matching degrees, and a sub-region is output, and the method further comprises:
judging the multiple weather matching degrees based on a preset weather matching degree to obtain N sub-regions which are greater than or equal to the preset weather matching degree, wherein N is a positive integer greater than 0, and N is less than the total number of the multiple sub-regions;
and outputting the identified sub-regions by identifying the N sub-regions.
5. The method of claim 4, wherein the identified sub-region is output by identifying the N sub-regions, the method further comprising:
acquiring N groups of geological data corresponding to the N sub-regions;
inputting the N groups of geological data into a geological fitness evaluation model, and acquiring N groups of fitness according to the geological fitness evaluation model;
acquiring M sub-regions with fitness larger than or equal to preset fitness based on the N groups of fitness, wherein M is a positive integer larger than 0 and smaller than N;
and identifying the M sub-regions and outputting the identified sub-regions.
6. The method of claim 5, wherein the M sub-regions are identified, the identified sub-regions are output, the method further comprising:
acquiring region attribute data of the M sub-regions;
and inputting the region attribute data serving as newly added data into the geological fitness evaluation model, performing secondary identification on the M sub-regions according to the geological fitness evaluation model, and outputting the identification sub-regions.
7. An ensemble forecasting meteorological resources integrated management system, the system communicatively coupled with a data acquisition device, the system comprising:
the historical data acquisition module is used for connecting a meteorological data query system of a target management area to acquire data and acquire historical meteorological data;
the characteristic analysis module is used for carrying out characteristic analysis according to the historical meteorological data to obtain regional meteorological characteristics;
the region dividing module is used for dividing the target management region based on the regional meteorological features to obtain a plurality of sub-regions;
the system comprises a demand meteorological feature acquisition module, a real-time management target acquisition module and a real-time management target acquisition module, wherein the demand meteorological feature acquisition module is used for acquiring demand meteorological features based on a real-time management target;
the characteristic matching analysis module is used for performing matching analysis on the regional meteorological characteristics and the required meteorological characteristics and outputting a plurality of meteorological matching degrees, wherein the meteorological matching degrees are in one-to-one correspondence with the sub-regions;
the area identification module is used for carrying out area identification on the plurality of sub-areas according to the plurality of weather matching degrees and outputting identification sub-areas;
and the management output module is used for outputting the identification subarea through the forecast meteorological resource comprehensive management system.
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| CN117713039A (en) * | 2023-11-01 | 2024-03-15 | 宁夏青铜峡市华能雷避窑光伏发电有限公司 | Power plant power generation control method based on regional new energy power generation prediction |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117713039A (en) * | 2023-11-01 | 2024-03-15 | 宁夏青铜峡市华能雷避窑光伏发电有限公司 | Power plant power generation control method based on regional new energy power generation prediction |
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