CN112232675B - Combined wind field evaluation method, device and system - Google Patents
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Abstract
The invention discloses a combined wind field evaluation method, a device and a system, wherein the device comprises a product inspection module, a quality problem case library and an algorithm inspection module; the product inspection module comprises a ground truth analysis field module and a networking product evaluation module; the quality problem case library is used for collecting observation data and problems of observation products in the service operation process, screening and marking various problems to form a problem data case data set; and the algorithm checking module is used for analyzing the problem data of the weather radar base data marked by the quality problem individual case library, and reprocessing the data in the quality problem individual case library by adopting an adjusted algorithm to judge the improvement condition of the algorithm. Therefore, the combined wind field is analyzed and evaluated, and the problems in evaluation can be fed back and improved in real time, so that the evaluation result of the combined wind field is more accurate. The technical problem that the evaluation precision is poor due to the fact that the existing wind field evaluation is lack of combined judgment is solved.
Description
Technical Field
The embodiment of the application relates to the technical field of weather forecast, in particular to a combined wind field evaluation method, device and system.
Background
Much research has been done on weather forecasting. Due to the vector characteristics of the wind field, the difficulty of forecasting the wind field is increased correspondingly. How to synthesize each item data, continuously optimize and improve the combined wind field evaluation technical scheme still has very big promotion space.
Disclosure of Invention
Therefore, the embodiment of the application provides a combined wind field evaluation method, device and system, and the method, device and system are used for evaluating, comparing and analyzing products of different weather types so as to at least partially solve the technical problem of poor evaluation precision caused by lack of combined judgment in existing wind field evaluation.
In order to achieve the above object, the embodiments of the present application provide the following technical solutions:
a combined wind farm assessment method, the method comprising:
acquiring ground truth data and networking product data;
generating a combined wind field evaluation data packet based on the ground truth data and the networking product data;
the method comprises the steps of obtaining observation data and problems of an observation product in a service operation process, screening and marking various problems to form a problem data individual case data set;
analyzing the problem data of the weather radar base data marked by the quality problem individual case library, adjusting an algorithm, reprocessing the data in the quality problem individual case library by adopting the adjusted algorithm, analyzing a reprocessing result, and judging the algorithm improvement condition.
The invention also provides a combined wind farm evaluation device, comprising: the system comprises a product inspection module, a product individual case library, a quality problem individual case library and an algorithm inspection module;
the product inspection module comprises a ground truth analysis field module and a networking product evaluation module;
the networking product evaluation module is used for combining a real-time product of the whole-network wind profile radar, a speed and direction display product of the weather radar and sounding data to form a horizontal wind field with an equal pressure surface so as to describe the strength and the position of a circulation and a secondary circulation of a weather system; carrying out deviation and correlation inspection on the combined wind field product by using numerical mode data and sounding data through a standard deviation or correlation coefficient method to find out a problem site;
the quality problem case library is used for collecting observation data and problems of observation products in the service operation process, screening and marking various problems to form a problem data case data set;
the algorithm checking module is used for analyzing the problem data of the weather radar base data marked by the quality problem individual case base, adjusting the algorithm, reprocessing the data in the quality problem individual case base by adopting the adjusted algorithm, analyzing the reprocessed result and judging the improved condition of the algorithm.
Optionally, the quality problem case library includes a problem analysis module, a problem case module, a problem classification module, and a problem statistics module.
Optionally, the problem analysis module is configured to automatically monitor a quality control process of the weather radar, and automatically place single-station data in the problem data resource pool, where the single-station data is marked as an error by quality control codes of a clear sky echo and a fault bad picture.
Optionally, the ground truth analysis field module comprises a precipitation module, an air temperature module, an air pressure module, a relative humidity module, a visibility module and a ground wind module, and is used for evaluating hourly data of the ground truth analysis field every day by calculating a standard deviation and a square algorithm of a correlation coefficient according to observation and reality analysis values based on a deviation index threshold of meteorological observation data and reality analysis data; and judging the ground truth analysis field according to the result evaluated by the evaluation algorithm and the manual judgment of an automatic analysis tool and an expert, and marking the problem sites.
Optionally, the networking product evaluation module is configured to combine a full-network wind profile radar real-time product, a weather radar speed and direction display product, and sounding data to form an isobaric horizontal wind field, so as to describe the strength and position of a weather system ring current and a secondary weather system ring; and (4) carrying out deviation and correlation inspection on the combined wind field product by using the numerical mode data and the sounding data through a standard deviation or correlation coefficient method, and finding out a problem site.
Optionally, the combined wind park product comprises a wind profile radar and weather radar VAD product.
Optionally, the product case base is further configured to: and checking the quantity of each type of product example generated in each year and about 24 months, the quantity of related product data files and the storage quantity, and comparison information of each example in terms of resource occupation.
Optionally, the algorithm checking module includes an algorithm management module, an algorithm back-calculation module and an algorithm evaluation module.
Optionally, the algorithm management module is configured to filter algorithms through an algorithm classification module, a version selection module, and a time selection module; the algorithm backcalculation module is used for displaying the current executing algorithm backcalculation progress; the algorithm evaluation module is used for analyzing and evaluating algorithms of different versions under the same algorithm classification, and problem description is carried out on the result after number back calculation.
Optionally, the networking product evaluation module is further configured to select different numerical mode data to switch different evaluation results by combining the wind field selection module; and the system is also used for displaying the station name, the station number, the standard deviation and the related coefficient information, and selecting nearby associated stations to be synchronously displayed through the evaluation time sequence module so as to analyze and compare.
In summary, the embodiment of the present application provides a method, an apparatus, and a system for evaluating a combined wind farm, including a product inspection module, a quality problem individual case base, and an algorithm inspection module; the influence of meteorological parameters such as precipitation, air temperature, air pressure, relative humidity, visibility and ground wind on the combined wind field is analyzed and evaluated, the problems existing in the evaluation can be fed back and improved in real time, and the evaluation result of the combined wind field is more accurate. Therefore, the technical problem that the evaluation precision is poor due to lack of combined judgment in the existing wind field evaluation is solved.
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. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Fig. 1 is a flowchart of a combined wind farm evaluation method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a combined wind farm assessment method provided in an embodiment of the present application in a specific scenario;
fig. 3 is a block diagram of a combined wind farm evaluation device according to an embodiment of the present disclosure.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. 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.
The combined wind field evaluation method, the combined wind field evaluation device and the combined wind field evaluation system are based on complex meteorological parameter combination, analyze and evaluate the combined wind field, and can feed back and improve problems existing in evaluation in real time, so that the evaluation result of the combined wind field is more accurate.
As shown in fig. 1, in a specific embodiment, the combined wind farm evaluation method provided by the present invention includes the following steps:
s1: acquiring ground truth data and networking product data;
s2: generating a combined wind field evaluation data packet based on the ground truth data and the networking product data;
s3: the method comprises the steps of obtaining observation data and problems of an observation product in a service operation process, screening and marking various problems to form a problem data individual case data set;
s4: analyzing the problem data of the weather radar base data marked by the quality problem individual case library, adjusting an algorithm, reprocessing the data in the quality problem individual case library by adopting the adjusted algorithm, analyzing a reprocessing result, and judging the algorithm improvement condition.
Further, the steps of the method in the actual product can be detailed, as shown in fig. 2, the method can be specifically as follows:
s100: acquiring combined wind farm product data and mode data (ECMWF, GRAPES);
s200: establishing a time-space matching model of the combined wind field product data and the mode data, and generating combined wind field evaluation data by adopting evaluation methods such as standard deviation, correlation coefficient and the like;
s300: formulating a product quality evaluation standard, classifying product quality, screening problematic data, issuing a product quality evaluation report, and forming a product quality problem case base by summarizing problem data and product use feedback information;
s400: and (4) by adjusting the algorithm, reprocessing the data in the quality problem case library by adopting the adjusted algorithm, comparing the product data quality before and after the back calculation, and judging the improvement condition of the algorithm.
In addition to the above method, the present invention also provides a device, and in one embodiment, as shown in fig. 3, the combined wind farm evaluation device includes a product inspection module 1, a product case base 2, a quality problem case base 3 and an algorithm inspection module 4.
Wherein the product inspection module 1 comprises a ground truth analysis field module 11 and a networking product evaluation module 13.
The ground truth analysis field module 11 comprises a precipitation module 111, an air temperature module 112, an air pressure module 113, a relative humidity module 114, a visibility module 115 and a ground wind module 116, and is used for evaluating hourly real estate analysis field data every day by calculating a standard deviation and a square algorithm of a correlation coefficient according to observation and real estate analysis values based on a deviation index threshold of meteorological observation data and real estate analysis data; and judging the ground truth analysis field according to the result evaluated by the evaluation algorithm and the manual judgment of an automatic analysis tool and an expert, and marking the problem sites.
The quality problem case library 3 is used for collecting observation data and observing problems of products in the service operation process, and screening and marking various problems to form a problem data case data set.
And the algorithm checking module 4 is used for analyzing the problem data of the weather radar base data marked by the quality problem individual case library 3, adjusting the algorithm, reprocessing the data in the quality problem individual case library by adopting the adjusted algorithm, analyzing the reprocessed result and judging the algorithm improvement condition.
In one possible implementation, the quality problem case library 3 includes a problem analysis module, a problem case module, a problem classification module and a problem statistics module. That is to say, in the working process, after the information of the problem is obtained, the problem analysis module analyzes the parameters such as the problem type and the like, and the problem statistic module carries out statistics. Specifically, the problem analysis module can be used for automatically monitoring the quality control process of the weather radar and automatically putting single-station data, which are marked as errors by quality control codes of the echo and the fault bad image in the clear sky, into the problem data resource pool.
Further, the combined wind farm product includes wind profile radar and weather radar VAD products. The product case base 2 is also used for: and checking the quantity of each type of product example generated in each year and about 24 months, the quantity of related product data files and the storage quantity, and comparison information of each example in terms of resource occupation.
In one possible embodiment, the algorithm checking module 4 includes an algorithm management module, an algorithm back-calculation module, and an algorithm evaluation module. The algorithm management module is used for screening algorithms through an algorithm classification module, a version selection module and a time selection module; the algorithm backcalculation module is used for displaying the current executing algorithm backcalculation progress; the algorithm evaluation module is used for analyzing and evaluating algorithms of different versions under the same algorithm classification, and problem description is carried out on the result after number back calculation.
In a possible embodiment, the networking product evaluation module 13 is further configured to select different numerical mode data to switch different evaluation results by combining with a wind field selection module; and the system is also used for displaying the station name, the station number, the standard deviation and the related coefficient information, and selecting nearby associated stations to be synchronously displayed through the evaluation time sequence module so as to analyze and compare.
For ease of understanding, the combined wind farm evaluation device provided in the embodiments of the present application is further described below.
The device comprises three main body functional areas of algorithm inspection, product inspection and quality problem individual case library. When the left classification is selected and switched, the corresponding result can be displayed in the display area, the corresponding legend is displayed in the operation area, the time corresponding to the evaluation result of the related product on the map can be synchronously switched through the time selection function, and the page provides functions of evaluation index threshold selection, evaluation comparison analysis of different products and the like.
The system structure functions are shown in table 1:
TABLE 1 System architecture functionality
Specifically, the product inspection specifically includes:
1. ground truth analysis field
The functional module comprises evaluation products such as precipitation, air temperature, air pressure, relative humidity, visibility and ground wind. According to the deviation index threshold limit (including standard deviation, root mean square error, square of correlation coefficient, relative error and the like) of the meteorological observation data and the live analysis data, the standard deviation and the square algorithm of the correlation coefficient are calculated according to the observation and live analysis values and are integrated in the system, and the day hourly live analysis field data are evaluated. And comprehensively analyzing and judging the analysis field according to the result evaluated by the evaluation algorithm, various automatic analysis tools such as expert experience and the like and the manual judgment of experts, and marking the problematic sites.
The evaluation results of the observed and live analysis data are compared with corresponding products generated by other departments, the difference of the products is found through data comparison and analysis, the reasons of the fundamental problems are analyzed and summarized, and the quality of the live analysis products is further improved through improving system parameters.
(1) Precipitation
By selecting the precipitation option, the monthly evaluation and single station data are displayed by default, and the positions of the national ground evaluation stations according to the evaluation index threshold range are displayed on the map. And moving the mouse to the site label to display the site name, the root mean square error, the square of the correlation coefficient, the standard deviation and other information. The month and evaluation index may be switched in the operation region to present different data.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'comparison graph' is displayed, evaluation information of the past 12 months is displayed in a chart form, evaluation information of ground stations (national stations) in different time ranges is displayed by adjusting time, and at most 3 associated stations can be selected to be displayed synchronously, so that analysis is facilitated.
By selecting the precipitation option and then selecting the month evaluation and the region, the month evaluation information according to the provinces is displayed on the map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a mouse clicks a province, displaying 'region inspection evaluation', displaying an evaluation result of the province even after 12 months and every month in a chart form, displaying evaluation information of the province in different time ranges by adjusting time, and selecting related provinces (at most 3) to be displayed synchronously so as to facilitate analysis.
By selecting the precipitation option and then selecting the near real-time single station, the positions of the national ground examination stations according to the evaluation index threshold range are displayed on the map. And moving the mouse to the site label to display the site name, the root mean square error, the square of the correlation coefficient, the standard deviation and other information. Different data can be presented by switching time and evaluation index in the operation area.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays near real-time regional evaluation data information on a map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times when time is switched.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
(2) Air temperature
And selecting the air temperature option, selecting the single station, and displaying the position of the national ground assessment station according to the assessment index threshold range on the map. And moving the mouse to the site label to display the information of the site name, the root mean square error, the square of the correlation coefficient, the relative error and the like.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
(3) Air pressure
And selecting the air pressure option and selecting the single station, and displaying the position of the national ground assessment station according to the threshold range of the assessment index on the map. And moving the mouse to the site label to display the information of the site name, the root mean square error, the square of the correlation coefficient, the relative error and the like.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
(4) Relative humidity
By selecting the "relative humidity" option, selecting "single station," the location of the national ground assessment site according to the assessment index threshold range is displayed on the map. And moving the mouse to the site label to display the information of the site name, the root mean square error, the square of the correlation coefficient, the relative error and the like.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
(5) Visibility
And selecting the visibility option and the single station, and displaying the positions of the national ground assessment stations according to the threshold range of the assessment indexes on the map. And moving the mouse to the site label to display the information of the site name, the root mean square error, the square of the correlation coefficient, the relative error and the like.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
(6) Ground wind
And selecting the 'ground wind' option and the 'single station', and displaying the position of the national ground assessment station according to the assessment index threshold range on the map. And moving the mouse to the site label to display the information of the site name, the root mean square error, the square of the correlation coefficient, the relative error and the like.
And clicking the statistical information to display the sites in different threshold intervals.
When a mouse clicks a website, a 'timing diagram' is displayed, information in a time range is displayed in a chart form, and ground station (national station) evaluation information in different time ranges is displayed by adjusting time.
Clicking a region button to display assessment information by province on a map. The function displays the area evaluation data information on the map, distinguishes evaluation results of different thresholds through different colors of color codes, and can display the evaluation results of different times for time switching.
When a province is clicked by a mouse, displaying 'region inspection evaluation', displaying a discrete graph of observation and live scenes in a time range in a graph mode, and displaying evaluation information of the province in different time ranges by adjusting time.
The networking product specifically comprises:
the functional module comprises evaluation products such as a combined wind field. The combined wind field product is formed by combining a full-network wind profile radar real-time product, a speed and direction display product (VAD) of a weather radar and sounding data to form a horizontal wind field with an equal pressure surface (an air pressure coordinate system). The product aims to accurately describe the strength and the position of the circulation of a weather system and the circulation of a secondary weather system (such as frontal surface, temperate zone cyclone, typhoon and the like).
The system uses ECMWF, GRAPES-MESO numerical mode data and sounding data to carry out deviation and correlation test on combined wind field products (wind profile radar and weather radar VAD products) through methods of standard deviation, correlation coefficients and the like, and a problem site is found, so that a product algorithm is continuously improved.
By selecting a 'combined wind field' option, sites of 'weather radar', 'wind profile', 'sounding co-site station' of a natural moon are displayed on a map by default, and 'comprehensive', 'U', 'V', as well as 'ECWMF' and 'GRAPES' can be selected to switch different evaluation results.
And moving the mouse to the site label to display the information of the site name, the site number, the standard deviation, the correlation coefficient and the like. And clicking the site to pop up an evaluation time sequence chart, and selecting nearby associated sites to be synchronously displayed so as to facilitate analysis and comparison.
The quality problem individual case library of the device specifically comprises:
the functional module comprises a weather radar and other problem products. The method comprises the steps of collecting observation data and problems found by an observation product in the service operation process, manually screening and marking various quality problems to form a problem data case data set, and providing data support for algorithm test, improvement and evaluation of service use.
1. Problem analysis
The weather scale system automatically monitors the quality control process of the weather radar, and automatically puts single-station data with quality control codes of clear sky echoes and fault bad diagrams marked as errors into a problem data resource pool to construct a quality problem resource pool. The result of data extraction is only referred by the service personnel, and the service personnel is required to perform an operation to enter the case base.
Selecting 'problem analysis', and displaying abnormal echo data (fault bad picture, electromagnetic interference, sea wave echo and ground object super refraction) of weather radars of more than one hundred nationwide in the last two times in a chart form on a page.
Clicking an analysis button of each piece of data to display a comparison graph, displaying the comparison graph before and after quality control of the abnormal echo, clicking editing, directly performing frame selection on a page, selecting an area which cannot be identified or wrongly identified by an algorithm by adopting a marking function provided by a system, describing possible reasons of the problem, and synchronously storing the data to a problem case after clicking storage.
2. Problem example
Clicking the 'problem case' shows that abnormal echo data which are stored as cases after being marked are further screened through 'province', 'site', 'abnormal echo' and 'time selection'.
Clicking on the "details" can show the editing information, and the question description, which can be edited again.
3. Problem classification
And the service personnel further checks the problems in the quality problem resource pool, marks the data with serious problems and places the data into a problem case library. The data can mark the severity level (mild degree and severe degree) of the problem data, so that the severe problem data can be intensively diagnosed in the follow-up process. And clicking 'problem classification' to display thumbnails of abnormal echo data (fault bad pictures, electromagnetic interference, sea wave echoes and ground object super refraction) of weather radars in more than one hundred parts of the whole country at the last two times.
4. Problem statistics
And clicking 'problem statistics' to show the occurrence times of abnormal echo data (fault bad pictures, electromagnetic interference, sea wave echoes and ground object super-refraction) of weather radars of more than one hundred nationwide in the last two times, and rapidly checking statistical information through 'province', 'classification' and 'time selection'.
Third, algorithm inspection
Analyzing the fault bad graph and the electromagnetic interference data of the weather radar base data marked in the case base, adjusting the related algorithm, reprocessing the data in the case base by adopting a new algorithm, analyzing the reprocessed result, and judging the algorithm improvement condition.
1. Algorithm management
And clicking 'algorithm management', displaying an algorithm name, a version number, uploading/modifying time and algorithm description, and quickly screening the algorithms through 'algorithm classification', 'version selection' and 'time selection'.
2. Algorithm back calculation
Clicking 'algorithm reckoning' to show the currently executed reckoning progress.
3. Algorithm evaluation
And clicking 'algorithm evaluation', displaying the name, version number, uploading/modifying time and data back calculation completion time of the algorithm, and quickly screening the algorithm through 'algorithm classification', 'version selection' and 'time selection'.
Clicking analysis to display the algorithms of different versions under the same algorithm classification, and performing problem description on the results through numerical back calculation so as to analyze the problems conveniently.
Based on the same technical concept, the embodiment of the present application further provides a combined wind farm evaluation device, including: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the above-described method.
In summary, the combined wind farm evaluation method, the combined wind farm evaluation device and the combined wind farm evaluation system provided by the embodiment of the application are based on the influence of rainfall, air temperature, air pressure, relative humidity, visibility, ground wind and other meteorological parameters on the combined wind farm through the product inspection module, the product individual example library, the quality problem individual example library and the algorithm inspection module, so that the combined wind farm is analyzed and evaluated, and the problems existing in the evaluation can be fed back and improved in real time, so that the evaluation result of the combined wind farm is more accurate. Therefore, the technical problem that the evaluation precision is poor due to lack of combined judgment in the existing wind field evaluation is solved. In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
It is noted that while the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not a requirement or suggestion that the operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Although the present application provides method steps as in embodiments or flowcharts, additional or fewer steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware devices. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A combined wind farm evaluation method, the method comprising:
acquiring ground truth data and networking product data;
generating a combined wind field evaluation data packet based on the ground truth data and the networking product data;
acquiring observation data and problems of an observation product in the service operation process, screening and marking various problems to form a quality problem case library;
analyzing the problem data of the weather radar base data marked by the quality problem individual case library, adjusting an algorithm, reprocessing the data in the quality problem individual case library by adopting the adjusted algorithm, and analyzing a reprocessing result, wherein the reprocessing result comprises the following steps:
clicking algorithm management, displaying an algorithm name, a version number, uploading/modifying time and algorithm description, and quickly screening algorithms through algorithm classification, version selection and time selection;
clicking 'algorithm backcalculation' to show the currently executed backcalculation progress;
clicking 'algorithm evaluation', displaying an algorithm name, a version number, uploading/modifying time and data back calculation completion time, and quickly screening the algorithm through 'algorithm classification', 'version selection' and 'time selection';
clicking analysis to display algorithms of different versions under the same algorithm classification, and performing problem description on the results through numerical back calculation so as to analyze the problems conveniently;
the method comprises the steps of automatically monitoring the quality control process of the weather radar, automatically placing single-station data with quality control codes of clear sky echoes and fault bad pictures marked as errors into a problem data resource pool, specifically, selecting ' problem analysis ', displaying abnormal echo data of more than one hundred weather radars in the whole country at the latest two times in a chart form on a page, clicking an ' analysis ' button of each piece of data, displaying a ' comparison map ', displaying the comparison map before and after quality control of abnormal echoes, clicking ' editing ', directly performing frame selection on the page, selecting an area which cannot be identified or is identified by an algorithm by adopting a marking function frame provided by a system, describing reasons for the problem, synchronously storing the data into ' problem cases ' after clicking ' storage ', clicking ' problem cases ' to display the abnormal echo data stored as cases after marking, and saving the data into a problem data resource pool through ' provinces "site", "abnormal echo", "time selection" for further screening;
clicking the 'details' can display and edit information and question description, and can edit the information again;
the service personnel further checks the problems in the quality problem resource pool, marks the data with serious problems, places the data into a quality problem case library, marks the serious grade of the problem data, clicks 'problem classification', and displays thumbnails of abnormal echo data of more than one hundred weather radars in the whole country at the last two times;
clicking 'problem statistics', showing the occurrence times of abnormal echo data of more than one hundred weather radars in the whole country at the last two times, and quickly checking statistical information through 'province', 'classification' and 'time selection';
based on a deviation index threshold value of meteorological observation data and live analysis data, calculating a standard deviation and a square algorithm of a correlation coefficient according to observation and live analysis values, and evaluating the hourly live analysis field data every day; and judging the ground truth analysis field according to the result evaluated by the evaluation algorithm and the manual judgment of an automatic analysis tool and an expert, and marking the problem sites, wherein the meteorological observation data comprise: precipitation, air temperature, air pressure, relative humidity, visibility and ground wind.
2. A combined wind farm evaluation device, the device comprising: the system comprises a product inspection module, a quality problem individual case library and an algorithm inspection module, wherein the quality problem individual case library comprises a problem analysis module, a problem individual case module, a problem classification module and a problem statistic module;
the product inspection module comprises a ground truth analysis field module and a networking product evaluation module;
the quality problem case library is used for collecting observation data and observing problems of products in the service operation process, and screening and marking various problems to form the quality problem case library;
the algorithm checking module is used for analyzing the problem data of the weather radar base data marked by the quality problem individual case base, adjusting the algorithm, reprocessing the data in the quality problem individual case base by adopting the adjusted algorithm, and analyzing a reprocessing result, and specifically comprises:
clicking algorithm management, displaying an algorithm name, a version number, uploading/modifying time and algorithm description, and quickly screening algorithms through algorithm classification, version selection and time selection;
clicking 'algorithm backcalculation' to show the currently executed backcalculation progress;
clicking 'algorithm evaluation', displaying an algorithm name, a version number, uploading/modifying time and data back calculation completion time, and quickly screening the algorithm through 'algorithm classification', 'version selection' and 'time selection';
clicking analysis to display algorithms of different versions under the same algorithm classification, and performing problem description on the results through numerical back calculation so as to analyze the problems conveniently;
the problem analysis module is used for automatically monitoring the quality control process of the weather radar, automatically putting single-station data with quality control codes of clear sky echoes and fault bad diagrams as errors into a problem data resource pool, and specifically comprises the following steps:
selecting 'problem analysis', displaying abnormal echo data of two latest national one hundred surplus weather radars in a graph form on a page, clicking an 'analysis' button of each piece of data, displaying a 'comparison graph', displaying a comparison graph before and after quality control of the abnormal echo, clicking 'editing', directly performing frame selection on the page, selecting an area which cannot be identified or wrongly identified by an algorithm by adopting a marking function frame provided by a system, describing the reason of the problem, synchronously storing the data into 'problem case' after clicking 'storage', clicking 'the problem case' to display the abnormal echo data which is stored as the case after marking, and further screening by 'province', 'site', 'abnormal echo', 'time selection';
clicking the 'details' can display and edit information and question description, and can edit the information again;
the service personnel further checks the problems in the quality problem resource pool, marks the data with serious problems, places the data into a problem case library, marks the serious grade of the problem data, clicks 'problem classification', and displays thumbnails of abnormal echo data of more than one hundred weather radars in the whole country at the last two times;
clicking 'problem statistics', showing the occurrence times of abnormal echo data of more than one hundred weather radars in the whole country at the last two times, and quickly checking statistical information through 'province', 'classification' and 'time selection';
the ground truth analysis field module comprises a precipitation module, an air temperature module, an air pressure module, a relative humidity module, a visibility module and a ground wind module, and is used for calculating a standard deviation and a square algorithm of a correlation coefficient according to observation and reality analysis values based on a deviation index threshold of meteorological observation data and reality analysis data and evaluating the hourly reality analysis field data every day; and judging the ground truth analysis field according to the result evaluated by the evaluation algorithm and the manual judgment of an automatic analysis tool and an expert, and marking the problem sites.
3. The combined wind farm evaluation device of claim 2, wherein the networking product evaluation module is configured to combine the full-network wind profile radar real-time product, the weather radar speed and direction display product, and the sounding data to form a constant-pressure-level horizontal wind farm to describe the strength and position of the weather system ring current and the secondary weather system ring; and (4) carrying out deviation and correlation inspection on the combined wind field product by using the numerical mode data and the sounding data through a standard deviation or correlation coefficient method, and finding out a problem site.
4. The combined wind farm evaluation device of claim 2, wherein the combined wind farm product comprises a wind profile radar and weather radar VAD product.
5. The combined wind farm evaluation device of claim 2, wherein the quality issue instance base is further configured to: and checking the quantity of each type of product example generated in each year and about 24 months, the quantity of related product data files and the storage quantity, and comparison information of each example in terms of resource occupation.
6. The combined wind farm evaluation device of claim 2, wherein the algorithm checking module comprises an algorithm management module, an algorithm back-calculation module, and an algorithm evaluation module.
7. A combined wind farm evaluation system, the system comprising: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of claim 1.
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