CN110989046B - Data quality control method and system for anchorage buoy station - Google Patents
Data quality control method and system for anchorage buoy station Download PDFInfo
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Abstract
The invention relates to a data quality control method for an anchorage buoy station, wherein the data of the anchorage buoy station comprises historical data, comparison data and mode data, and the method comprises the following steps of: selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element; correcting the historical data according to the climatology limit value to obtain correction data; verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result; and judging whether the climatology limit value is positive to the historical data or not according to the verification result. In the technical scheme of the invention, powerful guarantee can be provided for the construction and operation of the marine meteorological observation system in China, scientific research is combined with actual business requirements, and particularly, the blank of quality control of observation data of the anchorage buoy is filled in the observation aspect of the anchorage buoy.
Description
Technical Field
The invention relates to the field of data quality control, in particular to a data quality control method and system for an anchorage buoy station.
Background
Due to the limitation of technical level and economic condition, the marine meteorological observation in China starts late and progresses slowly, after the 21 st century, China pays attention to the construction of marine observation systems, increases the investment of technical research and development and construction capital, and steps into the rapid development period of the marine observation systems, the marine meteorological observation in China has been primarily scaled at present, a comprehensive observation system consisting of island stations, buoy stations, oil platform stations, ship stations, coastal meteorological observation towers, weather radars, wind profile radars, GNSS/MET water vapor observation, meteorological satellites and the like is primarily formed, and the marine meteorological observation data plays an important role in the aspects of conventional marine meteorological forecast service, marine weather decision-making service, professional service, important guarantee service, south sea forecast and the like.
However, compared with developed countries, many differences still exist in the aspects of construction, operation guarantee and the like of marine meteorological observation systems in China, some differences also exist between scientific research and practical business requirements, and particularly in the aspect of anchorage buoy observation, data quality control is still blank, so that certain troubles are caused to application and service terminals. The data of the anchorage buoy is used as marine actual measurement data, has very important functions for researching the forming, generating and developing mechanisms of sea surface strong wind, fog, visibility, stormy waves, strong storms and the like, researches the data law of the anchorage buoy station, explores the observation data quality control algorithm of the anchorage buoy station, and is the basis for exerting marine meteorological observation benefits.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art or the related art.
Therefore, one object of the invention is to provide an anchor buoy station data quality control method and system, which can provide powerful guarantee for the construction and operation of a marine meteorological observation system in China, and play a very important role in researching the formation, occurrence and development mechanisms of sea surface strong wind, fog, visibility, storms, strong storms and the like.
In order to achieve the above object, a technical solution of a first aspect of the present invention provides a method for controlling data quality of an anchorage buoy station, where the data of the anchorage buoy station includes history data, contrast data, and mode data, and the method includes the following steps:
selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element;
correcting the historical data according to the climatology limit value to obtain correction data;
verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result;
and judging whether the climatology limit value is positive to the historical data or not according to the verification result.
In the above technical solution, preferably, the preset algorithm is an absolute deviation algorithm, and the expression formula is as follows:
wherein, XMExpressed as said pattern data, XNThe absolute deviation value of the correction data is smaller than the absolute deviation of the contrast dataWhen the value is positive, the climatology limit value is positive, otherwise, the climate limit value is negative.
In any of the above technical solutions, preferably, the preset algorithm is a correlation coefficient algorithm, and the specific expression is as follows:
wherein, XMExpressed as said pattern data, XNAnd when the correlation coefficient of the correction data is greater than that of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction.
In any of the above technical solutions, preferably, the meteorological element includes at least one of air pressure, air temperature, wind speed and visibility;
the climatological threshold comprises at least one of a maximum, a minimum, and a maximum of a variance;
the mode data is observed by the anchorage buoy station in the GRAPES mode and/or the EC mode.
In any of the above technical solutions, preferably, the correcting the history data according to the climatological limit value to obtain correction data includes the following steps:
preliminarily correcting the historical data according to a preset change threshold value to obtain preliminarily corrected data;
performing secondary correction on the primary correction data according to the climatology limit value to obtain correction data;
wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
The technical solution of the second aspect of the present invention provides a data quality control system for an anchor buoy station, where the data of the anchor buoy station includes historical data, comparison data, and mode data, and includes:
the statistic module is used for selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element;
the correction module is used for correcting the historical data according to the climatological limit value to obtain correction data;
the verification module is used for verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result;
and the judging module is set for judging whether the climate limit value is correct for the historical data according to the verification result.
In the above technical solution, preferably, the preset algorithm is an absolute deviation algorithm, and the expression formula is as follows:
wherein, XMExpressed as said pattern data, XNAnd when the absolute deviation value of the correction data is smaller than the absolute deviation value of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction.
In any of the above technical solutions, preferably, the preset algorithm is a correlation coefficient algorithm, and the specific expression is as follows:
wherein, XMExpressed as said pattern data, XNThe data is expressed as the comparison data or the correction data, M is expressed as the total number of the anchorage buoy stations, N is expressed as the time total number, i is the number of the anchorage buoy stations, j is the time number, and the correlation coefficient of the correction data is greater than that of the comparison dataAnd when the correlation coefficient of the data is larger than the threshold value, the climate limit value is positive, and otherwise, the climate limit value is negative.
In any of the above technical solutions, preferably, the meteorological element includes at least one of air pressure, air temperature, wind speed and visibility;
the climatological threshold comprises at least one of a maximum, a minimum, and a maximum of a variance;
the mode data is observed by the anchorage buoy station in the GRAPES mode and/or the EC mode.
In any one of the above technical solutions, preferably, the correcting module includes: the preliminary correction unit is set to be used for preliminarily correcting the historical data according to a preset change threshold value to obtain preliminary correction data of the anchorage buoy station; the secondary correction unit is set to be used for carrying out secondary correction on the primary correction data of the anchorage buoy station according to the climatology limit value to obtain correction data; wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
Compared with the prior art, the method and the system for controlling the data quality of the anchorage buoy station have the advantages that powerful guarantee can be provided for the construction and operation of a marine meteorological observation system in China, scientific research is combined with actual business requirements, and particularly, the blank of quality control of anchorage buoy observation data is filled in the anchorage buoy observation aspect; the data of the anchorage buoy is used as marine actual measurement data, has very important functions for researching the mechanism of formation, generation and development of sea surface strong wind, fog, visibility, stormy waves, strong storms and the like, researches the data law of the anchorage buoy station, explores the observation data quality control algorithm of the anchorage buoy station, strengthens the quality control of marine observation data, improves the precision of data products, and is the basis for exerting marine meteorological observation benefits.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a block flow diagram showing a data quality control method for an anchor buoy station according to an embodiment of the present invention;
fig. 2 is a block flow diagram illustrating a data quality control method for an anchor buoy station according to another embodiment of the present invention;
fig. 3 is a block diagram showing a data quality control system of an anchor buoy station according to a third embodiment of the present invention;
fig. 4 is a block diagram showing a data quality control system of an anchor buoy station according to a fourth embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Methods and systems for tieback buoy station data quality control according to some embodiments of the present invention are described below with reference to fig. 1-4.
As shown in fig. 1, a method for controlling data quality of an anchor buoy station according to an embodiment of the present invention includes the following steps:
s1, selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element;
it should be noted that the meteorological elements include at least one of air pressure, air temperature, wind speed and visibility; in the step, 5 anchorage buoy stations in a yellow sea area and 4 anchorage buoy stations in a Bohai sea area, which run in a total of 9 businesses, are selected for development and research, and historical data is observed by the 9 anchorage buoy stations in 2017 plus 2018.
And 4 anchor buoys in the Bohai sea area and 5 anchor buoys in the yellow sea area 2017 and 2018 hourly data are counted to obtain the maximum and minimum values of 4 meteorological elements of air pressure, air temperature, air speed and visibility.
Statistical data show that extreme values of air pressure, air speed and visibility are not greatly different in each month, and the extreme values of air temperature are obviously different in each season, wherein the statistical values in spring are similar to those in autumn, so that the range is properly expanded according to the statistical extreme values to form two sea area climate limit values as shown in the following tables 1-2.
TABLE 1 Bohai sea area climatological limit
TABLE 2 climatological limits for the yellow sea area
And (4) anchor buoys in the Bohai sea area and 5 anchor buoys in the yellow sea area 2017 and 2018 hourly data change value maximum values are counted to obtain change values of 4 meteorological elements of air pressure, air temperature, air speed and visibility.
Statistical data shows that extreme values of air pressure, air speed and visibility change values are not greatly different in each month, the same quality control method can be adopted for different times, but different change values in sea areas are slightly different, the range is properly expanded, and time consistency threshold values shown in the following tables 3-4 are formed.
TABLE 3 Bohai sea area time consistency threshold
TABLE 4 yellow sea area time consistency limits
S2, correcting the historical data according to the climatology limit value to obtain corrected data;
in this step, the history data is corrected by the climatological threshold, and data in question of quality other than the climatological threshold is marked in the history data, and the remaining data is used as correction data.
S3, verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result;
in the step, in order to check the correction effect of the climatological limit value on the historical data, the air temperature, the air speed, the air pressure and the visibility data of 9 anchor buoy stations in two sea areas from 2019 in 1 month to 2019 in 10 months and 1 day are selected as comparison data, and the comparison data and the historical data are compared and analyzed with the mode data which are reported at 20 days.
And S4, judging whether the climatology limit value is positive to the historical data according to the verification result.
As shown in fig. 2, according to a data quality control method for an anchor buoy station according to another embodiment of the present invention, S2, corrects the historical data according to the climatological limit value to obtain corrected data, including the following steps:
s21, preliminarily correcting the historical data according to a preset change threshold value to obtain preliminarily corrected data;
s22, performing secondary correction on the primarily-set data according to the climatology limit value to obtain corrected data;
wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
In this embodiment, if a certain element is kept constant for a long time or kept for a long time with a change value with a very small amplitude, the quality of the data is still questionable. However, because maintenance records of all stations are not obtained, and some data quality problems are caused by external factors and not by the fault of the instrument, in the quality control process, extreme data which does not change for more than 6 hours or only changes within 0.1 range for 24 hours of a certain element is preliminarily marked.
As shown in fig. 3, according to an anchor buoy station data quality control system 100 according to a third embodiment of the present invention, the anchor buoy station data includes historical data, comparison data, and mode data, and includes:
a statistical module 10 configured to select an extremum corresponding to each meteorological element according to the historical data to obtain a climatological boundary value corresponding to each meteorological element;
a correction module 20 configured to correct the historical data according to the climatological threshold to obtain corrected data;
a verification module 30 configured to verify the comparison data, the correction data and the pattern data according to a preset algorithm, respectively, to obtain a verification result;
and the judging module 40 is configured to judge whether the historical data is correct according to the verification result.
As shown in fig. 4, according to a data quality control system of an anchor buoy station according to a third embodiment of the present invention, the correction module 20 includes:
a preliminary correction unit 21 configured to perform preliminary correction on the historical data according to a preset change threshold, so as to obtain preliminary correction data of the anchor buoy station;
the secondary correction unit 22 is configured to perform secondary correction on the primarily-set data of the anchorage buoy station according to the climatology limit value to obtain the correction data;
wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
Specifically, the method for performing comparative analysis includes, but is not limited to, the following technical schemes:
example 1
The preset algorithm is an absolute deviation algorithm, and the expression is as follows:
wherein, XMExpressed as said pattern data, XNAnd when the absolute deviation value of the correction data is smaller than the absolute deviation value of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction.
Example 2
The preset algorithm is a correlation coefficient algorithm, and the specific expression is as follows:
wherein, XMExpressed as said pattern data, XNAnd when the correlation coefficient of the correction data is greater than that of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction.
In any of the above embodiments, preferably, the mode data is data observed by the anchor buoy station in the GRAPES mode and/or the EC mode.
In this embodiment, because the visibility data of the GRAPES is not obtained for objective reasons, EC mode data is used to compare with anchor buoy data. It should be noted that, in order to avoid the deviation of the modes in the forecast, only the mode data obtained by observing in two modes is compared with the anchor buoy observation data, and in addition, because the performance of the different time of triggering is different in the modes, the comparison is performed only by using the mode at the same time of triggering. Because the initial assimilation field of the self mode has certain deviation, the test only can qualitatively explain the quality control method and cannot accurately calculate the quality control effect.
Examination of correction effect of yellow sea
The air pressure, air temperature, wind speed and visibility quality control results of 5 anchorage buoy stations in the yellow sea area are shown in a table 5, the test results are similar to those of the Bohai sea, observation data of the air temperature and the air pressure of an anchorage buoy are anchored, quality control mainly comes from reduction of absolute deviation of data quality improvement, no obvious change exists in correlation, the absolute deviation of the air pressure is reduced by 0.1, and the absolute deviation of the air temperature is also reduced by 0.1. Similarly, the test result of the wind speed data of the anchorage buoy is relatively poor, the average correlation coefficient of the data which is not subjected to quality control and the GRAPES is 0.61, the correlation coefficient is improved to 0.64 after the quality control, the average absolute deviation is reduced to 1.75 from 1.84, and the quality control effect is obvious. The correlation between visibility data of the anchorage buoy station and Bohai sea data in a mode phase is improved, but the overall correlation is still poor, before quality control is not performed, the correlation is only 0.30, after quality control, the correlation is only 0.31, the average absolute deviation is reduced from 6499.7 to 6455.3, and the effect of a quality control algorithm is not obvious.
TABLE 5 quality control results of meteorological elements in the sea area of the yellow sea
Bohai sea correction effect test
The results of controlling the air pressure, air temperature, wind speed and visibility quality of 4 anchor buoy stations in the Bohai sea area are shown in a table 6, and the inspection results show that the observation data of the air temperature and the air pressure of the anchor buoy are anchored, the quality control on the data quality is mainly caused by the reduction of absolute deviation, the correlation has no obvious change, wherein the absolute deviation of the air pressure is reduced by 0.01, and the absolute deviation of the air temperature is reduced by 0.02, which are not obvious. This is because the observation data of the air temperature and the air pressure are highly available, the data correlation with the model is 0.98 or more, and the quality control result is not obvious for the data with high availability because the quality algorithm only eliminates the abnormal value and does not change the observation data.
Compared with the air temperature and the air pressure, the air speed data inspection result of the anchorage buoy is relatively poor, the average correlation coefficient of the data which is not subjected to quality control and the GRAPES is 0.66, the correlation coefficient is improved to 0.69 after the quality control, the average absolute deviation is reduced to 1.63 from 1.73, and the quality control effect is obvious. But the visibility data of the anchorage buoy station has a large difference with the mode data, the correlation is only 0.10 before quality control, the correlation after quality control is only 0.12, and the average absolute deviation is reduced from 6169.1 to 6047.7.
TABLE 6 Bohai sea area meteorological element quality control results
In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the term "plurality" means two or more unless expressly limited otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a detachable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meaning of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", "front", "rear", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or unit indicated must have a specific direction, be configured and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the specification, reference throughout this specification to "one embodiment," "some embodiments," "a particular embodiment," or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An anchorage buoy station data quality control method is provided, the anchorage buoy station data comprises historical data, comparison data and mode data, and the method is characterized by comprising the following steps:
selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element;
correcting the historical data according to the climatology limit value to obtain correction data;
verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result;
the preset algorithm is an absolute deviation algorithm, and the expression is as follows:
wherein, XMExpressed as said pattern data, XNWhen the absolute deviation value of the correction data is smaller than the absolute deviation value of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction; and/or
The preset algorithm is a correlation coefficient algorithm, and the specific expression is as follows:
wherein, XMExpressed as said pattern data, XNWhen the correlation coefficient of the correction data is greater than that of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction;
and judging whether the climatology limit value is positive to the historical data or not according to the verification result.
2. The data quality control method for an anchorage buoy station according to claim 1, characterized in that: the meteorological elements comprise at least one of air pressure, air temperature, wind speed and visibility;
the climatological threshold comprises at least one of a maximum, a minimum, and a maximum of a variance;
the mode data is observed by the anchorage buoy station in the GRAPES mode and/or the EC mode.
3. The data quality control method for an anchorage buoy station according to claim 2, wherein the correction of the historical data is performed according to the climatology limit value to obtain correction data, and the method comprises the following steps:
preliminarily correcting the historical data according to a preset change threshold value to obtain preliminarily corrected data;
performing secondary correction on the primarily-set data according to the climatology limit value to obtain correction data;
wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
4. The utility model provides an anchorage buoy station data quality control system, anchorage buoy station data include historical data, contrast data and mode data, its characterized in that includes:
the statistic module is used for selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological limit value corresponding to each meteorological element;
the correction module is set for correcting the historical data according to the climatological limit value to obtain correction data;
the verification module is used for verifying the comparison data, the correction data and the mode data respectively according to a preset algorithm to obtain a verification result;
the preset algorithm is an absolute deviation algorithm, and the expression is as follows:
wherein, XMExpressed as said pattern data, XNWhen the absolute deviation value of the correction data is smaller than the absolute deviation value of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction; and/or
The preset algorithm is a correlation coefficient algorithm, and the specific expression is as follows:
wherein, XMExpressed as said pattern data, XNWhen the correlation coefficient of the correction data is greater than that of the comparison data, the climatology limit value is positive correction, otherwise, the climate limit value is negative correction;
and the judging module is set for judging whether the historical data is positive according to the verification result.
5. The data quality control system for an anchorage buoy station according to claim 4, characterized in that: the meteorological elements comprise at least one of air pressure, air temperature, wind speed and visibility;
the climatological threshold comprises at least one of a maximum, a minimum, and a maximum of a variance;
the mode data is observed by the anchorage buoy station in the GRAPES mode and/or the EC mode.
6. The data quality control system for an anchorage buoy station according to claim 5, wherein the correction module includes:
the preliminary correction unit is set for preliminarily correcting the historical data according to a preset change threshold value to obtain preliminary correction data of the anchor buoy station;
the secondary correction unit is set to be used for carrying out secondary correction on the primary correction data of the anchorage buoy station according to the climatology limit value to obtain correction data;
wherein the preset change threshold is more than 6 hours and the change value is between 0 and 0.1.
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