CN118068448B - Meteorological unmanned aerial vehicle ground measurement and control platform - Google Patents
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Abstract
The invention relates to the field of ground measurement and control of a meteorological unmanned aerial vehicle, and particularly discloses a ground measurement and control platform of the meteorological unmanned aerial vehicle, which is used for respectively carrying out time-varying inspection, limit value inspection, space consistency inspection and internal consistency inspection on all the observed data of all the meteorological elements in an observation area by collecting all the observed data of all the meteorological elements in the observation area, and analyzing time-varying inspection coincidence indexes, limit value inspection coincidence indexes, space consistency inspection coincidence indexes and internal consistency inspection coincidence indexes of all the meteorological element observed data in the observation area; further comprehensively analyzing quality evaluation indexes of the observed data of all the meteorological elements in the observation area, judging whether the observed data of all the meteorological elements in the observation area are wrong or not, and performing fault investigation on the meteorological sensors of the meteorological unmanned aerial vehicle; and the accuracy of the meteorological element observation data is evaluated from multiple dimensions, so that the quality and the credibility of the observation data are improved, and effective information is provided for meteorological monitoring.
Description
Technical Field
The invention relates to the field of ground measurement and control of meteorological unmanned aerial vehicles, in particular to a ground measurement and control platform of a meteorological unmanned aerial vehicle.
Background
Meteorological monitoring refers to the process of obtaining relevant data by observing and analyzing information such as weather conditions, meteorological elements, and changes in weather. The weather monitoring can provide accurate weather forecast, ensure public safety, support scientific research and climate change research and promote sustainable development, and has important significance.
The existing meteorological monitoring is mostly a process of collecting meteorological element observation data by means of a meteorological sensor carried by a meteorological unmanned plane and transmitting the meteorological element observation data to a ground meteorological station, and because the meteorological sensor is easy to age and fail when operating outdoors for a long time, the meteorological sensor is in a failure state, so that the collected data is changed greatly, the difference between an observation value and a true value is larger, and data errors are generated, therefore, the collected meteorological element observation data needs to be preprocessed.
In the preprocessing of the existing meteorological element observation data, whether the observation data has false evaluation indexes and evaluation modes are excessively single and shallow is judged, if the linear regression curve corresponding to each meteorological element observation data is drawn and the discrete degree of the observation data is analyzed, further whether the individual observation data has errors is judged, and if the individual observation data is not analyzed from multiple dimensions, for example, time-varying inspection, limit value inspection, space consistency inspection, internal consistency inspection and the like are carried out on the meteorological element observation data, so that the preprocessing of the existing meteorological element observation data is insufficient in reliability, and the quality and the reliability of the meteorological element observation data cannot be ensured.
Disclosure of Invention
Aiming at the problems, the invention provides a ground measurement and control platform of a meteorological unmanned aerial vehicle, which realizes the function of ground measurement and control of the meteorological unmanned aerial vehicle.
The technical scheme adopted for solving the technical problems is as follows: the invention provides a ground measurement and control platform of a meteorological unmanned plane, which comprises the following components: the meteorological unmanned aerial vehicle task allocation module: the method is used for dividing the meteorological region to be observed to obtain each observation subarea, further distributing the meteorological unmanned aerial vehicle for meteorological observation in each observation subarea, and setting a flight route, a flight height and each sampling position point of the meteorological unmanned aerial vehicle.
The meteorological element data acquisition module: the method is used for acquiring data of each meteorological element detected by the meteorological unmanned aerial vehicle in each observation subarea at each sampling position point in each subarea, and recording the data as each observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea.
Weather element data time-varying checking module: the method is used for acquiring reasonable change rate coefficients of the meteorological element observation data in each observation sub-area according to the meteorological element observation data acquired by the meteorological unmanned aerial vehicle in each observation sub-area, and analyzing time-varying inspection coincidence indexes of the meteorological element observation data in each observation sub-area.
Weather element data limit value checking module: the method is used for acquiring the reference range of each meteorological element in each observation sub-area, and further analyzing the limit value inspection coincidence index of the observation data of each meteorological element in each observation sub-area.
The meteorological element data space consistency checking module: and the system is used for acquiring each observation subarea which is adjacent to each observation subarea and has the same meteorological type, and further analyzing the space consistency check coincidence index of the observation data of each meteorological element in each observation subarea.
The weather element data internal consistency checking module: and the system is used for acquiring each associated meteorological element of each meteorological element in each observation subarea and further analyzing the internal consistency check coincidence index of the observed data of each meteorological element in each observation subarea.
The meteorological element data quality evaluation processing module: the system is used for analyzing the quality evaluation index of the observed data of each meteorological element in each observation sub-area according to the time-varying inspection coincidence index, the limit value inspection coincidence index, the space consistency inspection coincidence index and the internal consistency inspection coincidence index of the observed data of each meteorological element in each observation sub-area, judging whether the observed data of each meteorological element in each observation sub-area is wrong, if yes, transmitting, and if yes, performing fault checking on the meteorological sensor of the meteorological unmanned plane.
Database: the method is used for storing the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in the observation subareas in each time of meteorological observation tasks.
Based on the above embodiment, the specific analysis process of the task allocation module of the weather unmanned aerial vehicle is as follows: and dividing the meteorological region to be observed into grids according to a preset equal area principle to obtain each observation subarea.
The remote monitoring terminals of the meteorological unmanned aerial vehicle are used for deploying and observing the meteorological unmanned aerial vehicle in the same number as the observing subareas to conduct meteorological observation on each observing subarea, the flight route and the flight height of the meteorological unmanned aerial vehicle are set, and each sampling position point is further set on the flight route of the meteorological unmanned aerial vehicle according to a preset equidistant principle.
On the basis of the embodiment, the specific analysis process of the meteorological element data time-varying inspection module comprises the following steps: the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea are recorded as，Represent the firstThe number of the individual observation sub-areas,，Represent the firstThe number of the individual meteorological elements is the same,，Represent the firstThe number of the individual observations is set,。
By analysis of formulasObtaining the change rate of the observed data of each meteorological element in each observation sub-areaWhereinIndicating the number of observed data items,Represent the firstMeteorological unmanned aerial vehicle acquisition first in observation subareaFirst of meteorological elementsAnd (3) observing data.
On the basis of the above embodiment, the specific analysis process of the weather element data time-varying inspection module further includes: and extracting the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task stored in the database, further obtaining the change rate of the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task, and carrying out classification statistics to obtain the change rate range of the observation data of the meteorological elements in each observation subarea.
The upper limit value and the lower limit value of the observed data change rate range of each meteorological element in each observed sub-area are respectively recorded as。
By analysis of formulasObtaining reasonable coefficient of change rate of observed data of each meteorological element in each observation subareaWhereinA deviation threshold representing a predetermined observed data rate of change.
By analysis of formulasObtaining time-varying inspection coincidence index of each meteorological element observation data in each observation subareaWhereinA correction factor representing a predetermined time-varying check compliance index,And representing a preset reasonable coefficient threshold of the change rate.
On the basis of the embodiment, the specific analysis process of the meteorological element data limit value checking module comprises the following steps: and extracting all the observation data of all the meteorological elements collected by the meteorological unmanned aerial vehicle in all the observation subareas in all the historical meteorological observation tasks stored in the database, acquiring the meteorological types of all the observation subareas in all the historical meteorological observation tasks, and classifying and counting to obtain the range of all the meteorological elements in all the observation subareas under all the meteorological types in the historical meteorological observation.
The current weather type of each observation subarea is obtained, the range of each weather element corresponding to the current weather type of each observation subarea is obtained through screening, the range is recorded as the reference range of each weather element in each observation subarea, the median number of the reference range of each weather element in each observation subarea is recorded as the reference value of each weather element in each observation subarea, and the reference range is expressed as。
On the basis of the above embodiment, the specific analysis process of the weather element data limit value checking module further includes: by analysis of formulasObtaining limit value inspection coincidence index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating that the preset limit value checks the compliance index,Represents a natural constant of the natural product,A threshold value representing a difference between an observed value of a preset meteorological element and a corresponding reference value thereof.
Based on the above embodiment, the specific analysis process of the weather element data space consistency check module is as follows: each observation sub-area adjacent to each observation sub-area and having the same weather type is acquired and recorded as each reference area of each observation sub-area.
Screening and obtaining the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each reference area of each observation subarea according to the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the observation data as，Represent the firstThe number of the individual reference areas is referred to,。
By analysis of formulasObtaining the space consistency check coincidence index of the observation data of each meteorological element in each observation subareaWhereinA correction factor representing a predetermined spatial consistency check compliance index,Indicating the number of reference areas to be referred to,A threshold value representing a difference between the meteorological element observation data of the preset observation sub-area and the meteorological element observation data of the reference area thereof.
Based on the above embodiment, the specific analysis process of the weather element data internal consistency check module includes: and setting a set of associated meteorological elements of each meteorological element, and further screening to obtain each associated meteorological element of each meteorological element in each observation sub-area.
Screening and obtaining each observation data of each relevant meteorological element of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea according to each observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the each observation data as，Represent the firstThe number of each associated weather element,。
And carrying out average value calculation on the observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea to obtain the observation data of each meteorological element in each observation subarea.
A one-to-one correspondence between each numerical range of each meteorological element and each numerical range of each associated meteorological element corresponding to the meteorological element is set.
Obtaining the numerical range of each meteorological element in each observation sub-area according to the observation data of each meteorological element in each observation sub-area, further screening and obtaining the numerical range of each associated meteorological element of each meteorological element in each observation sub-area, and marking the numerical range as the reference numerical range of each associated meteorological element of each meteorological element in each observation sub-area and representing the reference numerical range as。
On the basis of the above embodiment, the specific analysis process of the weather element data internal consistency check module further includes: by analysis of formulasObtaining consistency coefficients of each associated meteorological element of each meteorological element in each observation subareaWhereinAnd the observation data deviation threshold value representing the preset associated meteorological element.
By analysis of formulasObtaining internal consistency check compliance index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating a predetermined internal consistency check compliance index,A threshold value representing a predetermined associated weather element consistency coefficient.
Based on the above embodiment, the specific analysis process of the weather element data quality evaluation processing module is as follows: and carrying out weighted average calculation on the time-varying inspection coincidence index, the limit value inspection coincidence index, the space consistency inspection coincidence index and the internal consistency inspection coincidence index of the observed data of each meteorological element in each observation subarea to obtain the quality evaluation index of the observed data of each meteorological element in each observation subarea.
Comparing the quality evaluation index of the observation data of each meteorological element in each observation sub-area with a preset quality evaluation index threshold, if the quality evaluation index of the observation data of each meteorological element in a certain observation sub-area is larger than or equal to the preset quality evaluation index threshold, transmitting the observation data of the meteorological element in the observation sub-area to a meteorological observation station of a meteorological area to be observed, otherwise, acquiring the observation data of the meteorological element in the observation sub-area, and feeding back to a remote monitoring terminal of the meteorological unmanned aerial vehicle for fault investigation.
Compared with the prior art, the ground measurement and control platform of the meteorological unmanned aerial vehicle has the following beneficial effects: 1. according to the method, time-varying inspection is carried out on the meteorological element observation data, whether the observation data are abnormal or not is judged from the angle that whether the change rate of the observation data is too large or too small along with time, and further the dimension for evaluating the correctness of the meteorological element observation data is increased, so that the quality and the credibility of the meteorological element observation data are guaranteed, and effective information is provided for meteorological monitoring.
2. According to the invention, the limit value inspection is carried out on the meteorological element observation data, whether the observation data is abnormal or not is judged from the angle that whether the value of the observation data exceeds the conventional range, so that the dimension for evaluating the correctness of the meteorological element observation data is increased, the quality and the credibility of the meteorological element observation data are ensured, and effective information is provided for meteorological monitoring.
3. According to the method, the space consistency check is carried out on the meteorological element observation data, and whether the observation data are abnormal or not is judged by comparing the differences between the observation data of the same meteorological element in the adjacent areas, so that the dimension for evaluating the correctness of the meteorological element observation data is increased, the quality and the credibility of the meteorological element observation data are guaranteed, and effective information is provided for meteorological monitoring.
4. According to the invention, the internal consistency check is carried out on the meteorological element observation data, and whether the observation data are abnormal or not is judged by comparing the difference of the observation data between the associated meteorological elements in the same area, so that the dimension for evaluating the correctness of the meteorological element observation data is increased, the quality and the credibility of the meteorological element observation data are ensured, and effective information is provided for meteorological monitoring.
5. According to the invention, by analyzing the quality evaluation index of the observation data of each meteorological element in the observation area, whether the observation data of each meteorological element in the observation area is wrong or not is judged, and the meteorological sensor of the meteorological unmanned aerial vehicle is subjected to fault investigation, and the state of the meteorological sensor is monitored and the fault investigation is carried out according to the quality of the observation data, so that the meteorological sensor can be maintained in time, and the normal operation of the subsequent meteorological observation operation is facilitated.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a ground measurement and control platform of a weather unmanned aerial vehicle, which comprises a weather unmanned aerial vehicle task allocation module, a weather element data acquisition module, a weather element data time-varying inspection module, a weather element data limit value inspection module, a weather element data space consistency inspection module, a weather element data internal consistency inspection module, a weather element data quality evaluation processing module and a database.
The weather unmanned aerial vehicle task allocation module is connected with the weather element data acquisition module, the weather element data acquisition module is respectively connected with the weather element data time-varying inspection module, the weather element data limit value inspection module, the weather element data space consistency inspection module and the weather element data internal consistency inspection module, the weather element data quality evaluation processing module is respectively connected with the weather element data time-varying inspection module, the weather element data limit value inspection module, the weather element data space consistency inspection module and the weather element data internal consistency inspection module, and the database is respectively connected with the weather element data time-varying inspection module and the weather element data limit value inspection module.
The meteorological unmanned aerial vehicle task allocation module is used for dividing a meteorological region to be observed to obtain each observation sub-region, further allocating the meteorological unmanned aerial vehicle for meteorological observation in each observation sub-region, and setting a flight route, a flight height and each sampling position point of the meteorological unmanned aerial vehicle.
Further, the specific analysis process of the meteorological unmanned aerial vehicle task allocation module is as follows: and dividing the meteorological region to be observed into grids according to a preset equal area principle to obtain each observation subarea.
The remote monitoring terminals of the meteorological unmanned aerial vehicle are used for deploying and observing the meteorological unmanned aerial vehicle in the same number as the observing subareas to conduct meteorological observation on each observing subarea, the flight route and the flight height of the meteorological unmanned aerial vehicle are set, and each sampling position point is further set on the flight route of the meteorological unmanned aerial vehicle according to a preset equidistant principle.
In a specific embodiment, the weather drone flies along the boundary line of the observation sub-area.
As a preferable scheme, the sampling position point is a position point where the meteorological unmanned aerial vehicle collects meteorological element observation data.
As a preferred solution, the weather unmanned aerial vehicle is an unmanned aerial vehicle, and is specially used for weather observation and climate monitoring. The device can carry various meteorological sensors and instruments, and collect data of meteorological elements such as atmospheric temperature, humidity, pressure, wind speed, wind direction and the like in a mode of flying and hovering at different heights in the atmosphere.
The meteorological element data acquisition module is used for acquiring the data of each meteorological element detected by the meteorological unmanned aerial vehicle in each observation subarea at each sampling position point in each subarea, and recording the data as each observation data of each meteorological element acquired by the meteorological unmanned aerial vehicle in each observation subarea.
As a preferable scheme, the meteorological unmanned aerial vehicle is provided with meteorological sensors such as a wind speed and direction sensor, a temperature and humidity sensor, an air pressure sensor, a rain gauge, a visibility meter, a millimeter wave cloud measuring instrument, a solar radiometer, an illuminometer, an atmospheric electric field instrument, a lightning positioning instrument and the like, and the meteorological elements such as wind speed, wind direction, temperature, humidity, air pressure, precipitation, cloud bottom height, visibility, solar radiation, illuminance, lightning positioning, atmospheric electric field and the like of an observation subarea are observed.
The time-varying inspection module of the meteorological element data is used for acquiring reasonable coefficient of change rate of the meteorological element observation data in each observation sub-area according to the observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation sub-area and analyzing time-varying inspection coincidence indexes of the meteorological element observation data in each observation sub-area.
Further, the specific analysis process of the meteorological element data time-varying inspection module comprises the following steps: the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea are recorded as，Represent the firstThe number of the individual observation sub-areas,，Represent the firstThe number of the individual meteorological elements is the same,，Represent the firstThe number of the individual observations is set,。
As a preferable mode, when numbering each observation data of the meteorological element, the numbering is performed according to the sequence of the acquisition time of each observation data, and the earlier the acquisition time of the observation data is, the earlier the numbering of the observation data is.
By analysis of formulasObtaining the change rate of the observed data of each meteorological element in each observation sub-areaWhereinIndicating the number of observed data items,Represent the firstMeteorological unmanned aerial vehicle acquisition first in observation subareaFirst of meteorological elementsAnd (3) observing data.
Further, the specific analysis process of the meteorological element data time-varying inspection module further comprises the following steps: and extracting the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task stored in the database, further obtaining the change rate of the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task, and carrying out classification statistics to obtain the change rate range of the observation data of the meteorological elements in each observation subarea.
The upper limit value and the lower limit value of the observed data change rate range of each meteorological element in each observed sub-area are respectively recorded as。
By analysis of formulasObtaining reasonable coefficient of change rate of observed data of each meteorological element in each observation subareaWhereinA deviation threshold representing a predetermined observed data rate of change.
By analysis of formulasObtaining time-varying inspection coincidence index of each meteorological element observation data in each observation subareaWhereinA correction factor representing a predetermined time-varying check compliance index,And representing a preset reasonable coefficient threshold of the change rate.
As a preferable mode, if the rate of change of the observed data of a certain meteorological element with time is too large or is fixed with time, the observed data of the meteorological element is determined to be data error without conforming to the standard of time-varying inspection.
By time-varying inspection of the meteorological element observation data, whether the observation data are abnormal or not is judged from the angle that whether the change rate of the observation data is too large or too small along with time, so that the dimension for evaluating the correctness of the meteorological element observation data is increased, the quality and the credibility of the meteorological element observation data are ensured, and effective information is provided for meteorological monitoring.
The meteorological element data limit value checking module is used for acquiring the reference range of each meteorological element in each observation sub-area and further analyzing the limit value checking coincidence index of the meteorological element observation data in each observation sub-area.
Further, the specific analysis process of the meteorological element data limit value checking module comprises the following steps: and extracting all the observation data of all the meteorological elements collected by the meteorological unmanned aerial vehicle in all the observation subareas in all the historical meteorological observation tasks stored in the database, acquiring the meteorological types of all the observation subareas in all the historical meteorological observation tasks, and classifying and counting to obtain the range of all the meteorological elements in all the observation subareas under all the meteorological types in the historical meteorological observation.
As a preferable scheme, the weather types are classified and generalized according to different characteristics of weather phenomena. Meteorological types include, but are not limited to: sunny days, cloudy days, fog, haze, rain, snow, hail, thunderstorms, typhoons, and the like.
The current weather type of each observation subarea is obtained, the range of each weather element corresponding to the current weather type of each observation subarea is obtained through screening, the range is recorded as the reference range of each weather element in each observation subarea, the median number of the reference range of each weather element in each observation subarea is recorded as the reference value of each weather element in each observation subarea, and the reference range is expressed as。
Further, the specific analysis process of the meteorological element data limit value checking module further comprises the following steps: by analysis of formulasObtaining limit value inspection coincidence index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating that the preset limit value checks the compliance index,Represents a natural constant of the natural product,A threshold value representing a difference between an observed value of a preset meteorological element and a corresponding reference value thereof.
By checking the limit value of the meteorological element observation data, the invention judges whether the observation data is abnormal from the angle that whether the value of the observation data exceeds the conventional range, thereby increasing the dimension for evaluating the correctness of the meteorological element observation data, ensuring the quality and the credibility of the meteorological element observation data and providing effective information for meteorological monitoring.
The meteorological element data space consistency check module is used for acquiring all the observation subareas which are adjacent to all the observation subareas and have the same meteorological type, and further analyzing the space consistency check coincidence index of the meteorological element observation data in all the observation subareas.
Further, the specific analysis process of the meteorological element data space consistency check module is as follows: each observation sub-area adjacent to each observation sub-area and having the same weather type is acquired and recorded as each reference area of each observation sub-area.
Screening and obtaining the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each reference area of each observation subarea according to the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the observation data as，Represent the firstThe number of the individual reference areas is referred to,。
By analysis of formulasObtaining the space consistency check coincidence index of the observation data of each meteorological element in each observation subareaWhereinA correction factor representing a predetermined spatial consistency check compliance index,Indicating the number of reference areas to be referred to,A threshold value representing a difference between the meteorological element observation data of the preset observation sub-area and the meteorological element observation data of the reference area thereof.
As a preferred scheme, the spatial consistency means that under the same weather phenomenon, the observation subarea and the same meteorological elements of the adjacent observation subareas have the same change trend and similar observation values.
The method and the device can judge whether the observed data is abnormal or not by carrying out space consistency check on the observed data of the meteorological elements and comparing the differences between the observed data of the same meteorological elements in adjacent areas, so that the dimension for evaluating the correctness of the observed data of the meteorological elements is increased, the quality and the credibility of the observed data of the meteorological elements are ensured, and effective information is provided for meteorological monitoring.
The internal consistency check module of the meteorological element data is used for acquiring each associated meteorological element of each meteorological element in each observation sub-area and further analyzing the internal consistency check coincidence index of the meteorological element observation data in each observation sub-area.
Further, the specific analysis process of the weather element data internal consistency check module comprises the following steps: and setting a set of associated meteorological elements of each meteorological element, and further screening to obtain each associated meteorological element of each meteorological element in each observation sub-area.
Preferably, the associated weather element set of each weather element is obtained based on experience of historical weather observation.
Screening and obtaining each observation data of each relevant meteorological element of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea according to each observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the each observation data as，Represent the firstThe number of each associated weather element,。
And carrying out average value calculation on the observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea to obtain the observation data of each meteorological element in each observation subarea.
A one-to-one correspondence between each numerical range of each meteorological element and each numerical range of each associated meteorological element corresponding to the meteorological element is set.
As a preferable mode, the one-to-one correspondence between each numerical range of each meteorological element and each numerical range of each associated meteorological element corresponding to each meteorological element is obtained according to experience of historical meteorological observation.
Obtaining the numerical range of each meteorological element in each observation sub-area according to the observation data of each meteorological element in each observation sub-area, further screening and obtaining the numerical range of each associated meteorological element of each meteorological element in each observation sub-area, and marking the numerical range as the reference numerical range of each associated meteorological element of each meteorological element in each observation sub-area and representing the reference numerical range as。
As a preferable mode, if there is a certain correlation between meteorological elements in a certain observation area, the changes between the meteorological elements conform to a certain rule.
Further, the specific analysis process of the weather element data internal consistency check module further comprises the following steps: by analysis of formulasObtaining consistency coefficients of each associated meteorological element of each meteorological element in each observation subareaWhereinAnd the observation data deviation threshold value representing the preset associated meteorological element.
By analysis of formulasObtaining internal consistency check compliance index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating a predetermined internal consistency check compliance index,A threshold value representing a predetermined associated weather element consistency coefficient.
The method and the system can judge whether the observed data is abnormal or not by carrying out internal consistency check on the observed data of the meteorological elements and comparing the difference of the observed data among the associated meteorological elements in the same area, so that the dimension for evaluating the correctness of the observed data of the meteorological elements is increased, the quality and the credibility of the observed data of the meteorological elements are ensured, and effective information is provided for meteorological monitoring.
The weather element data quality evaluation processing module is used for analyzing the quality evaluation index of each weather element observation data in each observation sub-area according to the time-varying inspection coincidence index, the limit value inspection coincidence index, the space consistency inspection coincidence index and the internal consistency inspection coincidence index of each weather element observation data in each observation sub-area, judging whether the observation data of each weather element in each observation sub-area is wrong, if yes, transmitting, and if yes, performing fault investigation on the weather sensor of the weather unmanned aerial vehicle.
Further, the specific analysis process of the meteorological element data quality evaluation processing module is as follows: and carrying out weighted average calculation on the time-varying inspection coincidence index, the limit value inspection coincidence index, the space consistency inspection coincidence index and the internal consistency inspection coincidence index of the observed data of each meteorological element in each observation subarea to obtain the quality evaluation index of the observed data of each meteorological element in each observation subarea.
As a preferable mode, the weight of the time-varying check compliance index, the limit value check compliance index, the space compliance index, and the internal compliance index is a set value, and the sum is 1.
Comparing the quality evaluation index of the observation data of each meteorological element in each observation sub-area with a preset quality evaluation index threshold, if the quality evaluation index of the observation data of each meteorological element in a certain observation sub-area is larger than or equal to the preset quality evaluation index threshold, transmitting the observation data of the meteorological element in the observation sub-area to a meteorological observation station of a meteorological area to be observed, otherwise, acquiring the observation data of the meteorological element in the observation sub-area, and feeding back to a remote monitoring terminal of the meteorological unmanned aerial vehicle for fault investigation.
The invention judges whether the observed data of each meteorological element in the observation area is wrong or not and performs fault detection on the meteorological sensor of the meteorological unmanned aerial vehicle by analyzing the quality evaluation index of the observed data of each meteorological element in the observation area, and performs state monitoring and fault detection on the meteorological sensor according to the quality of the observed data, so that the meteorological sensor can be maintained in time, and the normal operation of the subsequent meteorological observation operation is facilitated.
The database is used for storing the observation data of all the meteorological elements collected by the meteorological unmanned aerial vehicle in all the observation subareas in each meteorological observation task.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. The utility model provides a meteorological unmanned aerial vehicle ground measurement and control platform which characterized in that includes:
the meteorological unmanned aerial vehicle task allocation module: the method comprises the steps of dividing a meteorological region to be observed to obtain each observation subarea, further distributing the meteorological unmanned aerial vehicle for meteorological observation in each observation subarea, and setting a flight route, a flight height and each sampling position point of the meteorological unmanned aerial vehicle;
The meteorological element data acquisition module: the method comprises the steps of acquiring data of each meteorological element detected by a meteorological unmanned aerial vehicle in each observation subarea at each sampling position point in each subarea of the meteorological unmanned aerial vehicle, and recording the data as each observation data of each meteorological element acquired by the meteorological unmanned aerial vehicle in each observation subarea;
Weather element data time-varying checking module: the time-varying inspection coincidence index is used for acquiring reasonable coefficient of change rate of the observed data of each meteorological element in each observation sub-area according to the observed data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation sub-area and analyzing the time-varying inspection coincidence index of the observed data of each meteorological element in each observation sub-area;
Weather element data limit value checking module: the method comprises the steps of acquiring a reference range of each meteorological element in each observation sub-area, and further analyzing a limit value inspection coincidence index of observation data of each meteorological element in each observation sub-area;
The meteorological element data space consistency checking module: the method comprises the steps of acquiring each observation subarea which is adjacent to each observation subarea and has the same meteorological type, and further analyzing the space consistency check coincidence index of the observation data of each meteorological element in each observation subarea;
The weather element data internal consistency checking module: the method comprises the steps of acquiring each associated meteorological element of each meteorological element in each observation sub-area, and further analyzing an internal consistency check coincidence index of observation data of each meteorological element in each observation sub-area;
The meteorological element data quality evaluation processing module: the system is used for analyzing the quality evaluation index of the observed data of each meteorological element in each observation sub-area according to the time-varying inspection coincidence index, the limit value inspection coincidence index, the space consistency inspection coincidence index and the internal consistency inspection coincidence index of the observed data of each meteorological element in each observation sub-area, judging whether the observed data of each meteorological element in each observation sub-area is wrong, if yes, transmitting, and if yes, performing fault investigation on the meteorological sensor of the meteorological unmanned plane;
database: the system is used for storing the historical observation data of all the meteorological elements collected by the meteorological unmanned aerial vehicle in all the observation subareas in all the meteorological observation tasks;
the specific analysis process of the meteorological element data time-varying inspection module comprises the following steps:
The observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea are recorded as ，Represent the firstThe number of the individual observation sub-areas,，Represent the firstThe number of the individual meteorological elements is the same,，Represent the firstThe number of the individual observations is set,；
By analysis of formulasObtaining the change rate of the observed data of each meteorological element in each observation sub-areaWhereinIndicating the number of observed data items,Represent the firstMeteorological unmanned aerial vehicle acquisition first in observation subareaFirst of meteorological elementsA plurality of observation data;
The specific analysis process of the meteorological element data time-varying inspection module further comprises the following steps:
Extracting each observation data of each meteorological element collected by a meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task stored in a database, further obtaining the change rate of the observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task, and carrying out classification statistics to obtain the change rate range of the observation data of each meteorological element in each observation subarea;
The upper limit value and the lower limit value of the observed data change rate range of each meteorological element in each observed sub-area are respectively recorded as ；
By analysis of formulasObtaining reasonable coefficient of change rate of observed data of each meteorological element in each observation subareaWhereinA deviation threshold value representing a preset observed data rate of change;
By analysis of formulas Obtaining time-varying inspection coincidence index of each meteorological element observation data in each observation subareaWhereinA correction factor representing a predetermined time-varying check compliance index,And representing a preset reasonable coefficient threshold of the change rate.
2. The meteorological unmanned aerial vehicle ground measurement and control platform according to claim 1, wherein: the specific analysis process of the meteorological unmanned aerial vehicle task allocation module is as follows:
Dividing a meteorological region to be observed into grids according to a preset equal area principle to obtain each observation subarea;
The remote monitoring terminals of the meteorological unmanned aerial vehicle are used for deploying and observing the meteorological unmanned aerial vehicle in the same number as the observing subareas to conduct meteorological observation on each observing subarea, the flight route and the flight height of the meteorological unmanned aerial vehicle are set, and each sampling position point is further set on the flight route of the meteorological unmanned aerial vehicle according to a preset equidistant principle.
3. The meteorological unmanned aerial vehicle ground measurement and control platform according to claim 1, wherein: the specific analysis process of the meteorological element data limit value checking module comprises the following steps:
Extracting each observation data of each meteorological element collected by a meteorological unmanned aerial vehicle in each observation subarea in each historical meteorological observation task stored in a database, acquiring the meteorological type of each observation subarea in each historical meteorological observation task, and carrying out statistics to obtain the range of each meteorological element in each observation subarea under each meteorological type in the historical meteorological observation;
The current weather type of each observation subarea is obtained, the range of each weather element corresponding to the current weather type of each observation subarea is obtained through screening, the range is recorded as the reference range of each weather element in each observation subarea, the median number of the reference range of each weather element in each observation subarea is recorded as the reference value of each weather element in each observation subarea, and the reference range is expressed as 。
4. A meteorological unmanned aerial vehicle ground measurement and control platform according to claim 3, wherein: the specific analysis process of the meteorological element data limit value checking module further comprises the following steps:
By analysis of formulas Obtaining limit value inspection coincidence index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating that the preset limit value checks the compliance index,Represents a natural constant of the natural product,A threshold value representing a difference between an observed value of a preset meteorological element and a corresponding reference value thereof.
5. The meteorological unmanned aerial vehicle ground measurement and control platform according to claim 1, wherein: the specific analysis process of the meteorological element data space consistency check module is as follows:
acquiring each observation sub-area adjacent to each observation sub-area and having the same weather type, and recording the observation sub-area as each reference area of each observation sub-area;
Screening and obtaining the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each reference area of each observation subarea according to the observation data of the meteorological elements collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the observation data as ，Represent the firstThe number of the individual reference areas is referred to,；
By analysis of formulasObtaining the space consistency check coincidence index of the observation data of each meteorological element in each observation subareaWhereinA correction factor representing a predetermined spatial consistency check compliance index,Indicating the number of reference areas to be referred to,A threshold value representing a difference between the meteorological element observation data of the preset observation sub-area and the meteorological element observation data of the reference area thereof.
6. The meteorological unmanned aerial vehicle ground measurement and control platform according to claim 1, wherein: the specific analysis process of the weather element data internal consistency check module comprises the following steps:
Setting a set of associated meteorological elements of each meteorological element, and further screening to obtain each associated meteorological element of each meteorological element in each observation sub-area;
Screening and obtaining each observation data of each relevant meteorological element of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea according to each observation data of each meteorological element collected by the meteorological unmanned aerial vehicle in each observation subarea, and recording the each observation data as ，Represent the firstThe number of each associated weather element,；
Average value calculation is carried out on all the observation data of all the meteorological elements collected by the meteorological unmanned aerial vehicle in all the observation subareas, so as to obtain the observation data of all the meteorological elements in all the observation subareas;
Setting a one-to-one correspondence between each numerical range of each meteorological element and each numerical range of each associated meteorological element corresponding to the meteorological element;
Obtaining the numerical range of each meteorological element in each observation sub-area according to the observation data of each meteorological element in each observation sub-area, further screening and obtaining the numerical range of each associated meteorological element of each meteorological element in each observation sub-area, and marking the numerical range as the reference numerical range of each associated meteorological element of each meteorological element in each observation sub-area and representing the reference numerical range as 。
7. The meteorological unmanned aerial vehicle ground measurement and control platform of claim 6, wherein: the specific analysis process of the weather element data internal consistency check module further comprises the following steps:
By analysis of formulas Obtaining consistency coefficients of each associated meteorological element of each meteorological element in each observation subareaWhereinAn observed data deviation threshold value representing a preset associated meteorological element;
By analysis of formulas Obtaining internal consistency check compliance index of each meteorological element observation data in each observation sub-areaWhereinA correction factor indicating a predetermined internal consistency check compliance index,A threshold value representing a predetermined associated weather element consistency coefficient.
8. The meteorological unmanned aerial vehicle ground measurement and control platform according to claim 1, wherein: the specific analysis process of the meteorological element data quality evaluation processing module is as follows:
Calculating a weighted average value of time-varying inspection coincidence indexes, limit value inspection coincidence indexes, space consistency inspection coincidence indexes and internal consistency inspection coincidence indexes of the observed data of each meteorological element in each observation sub-area to obtain quality evaluation indexes of the observed data of each meteorological element in each observation sub-area;
Comparing the quality evaluation index of the observation data of each meteorological element in each observation sub-area with a preset quality evaluation index threshold, if the quality evaluation index of the observation data of each meteorological element in a certain observation sub-area is larger than or equal to the preset quality evaluation index threshold, transmitting the observation data of the meteorological element in the observation sub-area to a meteorological observation station of a meteorological area to be observed, otherwise, acquiring the observation data of the meteorological element in the observation sub-area, and feeding back to a remote monitoring terminal of the meteorological unmanned aerial vehicle for fault investigation.
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