Quality control method, device and equipment for freezing of wind speed sensor and wind direction sensor

Abstract

The embodiment of the invention provides a quality control method, device and equipment for freezing of a wind speed sensor and a wind direction sensor, and is applied to the technical field of atmospheric exploration. The method comprises the following steps: acquiring wind speed and wind direction data of a current station and performing data preprocessing on the wind speed and wind direction data; and determining whether the wind speed and wind direction sensors of the current station are frozen according to whether the current station has an adjacent station reference, whether a preset weather phenomenon exists and whether the icing diameter of the electric wire is greater than or equal to a preset diameter or not, and judging whether the preprocessed wind speed and wind direction data are in respective threshold intervals or not under corresponding conditions, thereby determining whether the wind speed and wind direction sensors of the current station are frozen or not. In this way, accurate identification and quality control of freezing problems of wind speed and wind direction sensors can be further realized.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, in particular to the field of atmospheric detection technology, and specifically to a quality control method, device and equipment for freezing of wind speed and wind direction sensors. Background Art

[0002] Ground observation data is an important component of atmospheric sounding data, and is the basis for weather forecasting, weather research, agriculture, and water resources management, affecting our lives and society. As the ground observation station network becomes more and more dense and the temporal and spatial resolution continues to improve, the quality of meteorological observation data is directly related to its application effect. Therefore, it is very necessary to control the quality of ground observation data.

[0003] Ground wind is one of the basic elements of meteorological station observation. Conventional regional stations generally use 10-meter-high wind poles for ground wind observation, which are difficult for regional stations to maintain accordingly. In winter, when the temperature and humidity reach certain conditions and rain or snow occurs, wind direction and wind speed sensors are prone to freezing, seriously affecting the data quality of ground wind observation data.

[0004] Specifically, in winter, when the temperature drops, or after rain or snow, the humidity increases, and the wind speed and wind direction sensors are prone to freezing. When the wind speed sensor freezes, the starting wind speed will increase, causing the maximum wind speed to remain at 0m / s for a long time when the wind is light on the ground; when the wind direction sensor freezes, the wind direction will remain unchanged in a certain direction for a long time.

[0005] At present, there are relatively few quality control methods for wind speed and wind direction, which are mainly focused on limit value checking, extreme value checking, internal consistency, time consistency and other aspects. These quality control methods can only perform basic quality control on wind speed and wind direction element data, and cannot further perform quality control on the freezing problem of wind speed and wind direction sensors. Summary of the invention

[0006] The present invention provides a method, a device and an apparatus for quality control of freezing of a wind speed and wind direction sensor.

[0007] According to a first aspect of the present disclosure, a quality control method for freezing of a wind speed and wind direction sensor is provided. The method comprises:

[0008] Get the wind speed and direction data of the current site;

[0009] Preprocessing the wind speed and wind direction data;

[0010] When there is no neighboring site reference for the current site, determining whether the preprocessed wind speed and wind direction data are within a first threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site;

[0011] When there is a neighboring site reference for the current site and there is no preset weather phenomenon, determining whether the preprocessed wind speed and wind direction data are within a second threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site;

[0012] When the current site has a neighboring site reference and a preset weather phenomenon exists, determining whether the preprocessed wind speed and wind direction data are within a third threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site;

[0013] When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, it is determined whether the preprocessed wind speed and wind direction data are within a fourth threshold interval; if so, the wind speed and wind direction sensors at the current site are frozen.

[0014] According to the above aspects and any possible implementation, there is further provided an implementation, wherein the wind speed and wind direction data include maximum wind speed and wind direction data, two-minute average wind speed and wind direction data, instantaneous wind speed and wind direction data, temperature data, relative humidity data, and weather phenomenon data;

[0015] The acquisition of wind speed and wind direction data of the current site includes:

[0016] Obtain the current site's maximum wind speed and direction data, two-minute average wind speed and direction data, instantaneous wind speed and direction data, temperature data, relative humidity data, and weather phenomenon data;

[0017] Based on the principal component analysis algorithm, the maximum wind speed data of the current site, the two-minute average wind speed data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind speed sensor; the wind direction data of the maximum wind speed of the current site, the instantaneous wind direction data, the two-minute average wind direction data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind direction sensor.

[0018] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein when the current site does not have a neighboring site reference, determining whether the preprocessed wind speed and wind direction data are within a first threshold interval, and if so, freezing the wind speed and wind direction sensor of the current site includes:

[0019] When there is no neighboring site reference for the current site, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within a first threshold interval and whether the temperature data and the relative humidity data are respectively within a preset threshold interval, and if so, freeze the wind speed sensor of the current site; or

[0020] When there is no neighboring site reference for the current site, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time period during which the wind direction data of the maximum wind speed remains unchanged at the current site is within the first threshold interval and whether the temperature data and relative humidity data are within the preset threshold intervals respectively. If so, the wind direction sensor of the current site is frozen.

[0021] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein when the current site has a neighboring site reference and there is no preset weather phenomenon, determining whether the preprocessed wind speed and wind direction data are within a second threshold interval, and if so, freezing the wind speed and wind direction sensor of the current site includes:

[0022] When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the number of times the maximum wind speed data of the current site is continuously 0 is within a second threshold interval, and whether the temperature data and relative humidity data are respectively within the preset threshold interval and whether the maximum wind speed data of the neighboring site at the same time is not 0, if so, the wind speed sensor of the current site is frozen; or

[0023] When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the second threshold interval, and whether the temperature data and relative humidity data are respectively in the preset threshold interval and whether the wind direction data of the neighboring site at the same time has changed. If so, the wind direction sensor of the current site is frozen.

[0024] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein when the current site has a neighboring site reference and a preset weather phenomenon exists, determining whether the preprocessed wind speed and wind direction data are within a third threshold interval, and if so, freezing the wind speed and wind direction sensor of the current site includes:

[0025] When there is a neighboring site reference for the current site and there is a preset weather phenomenon, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within a third threshold interval, and whether the temperature data and the relative humidity data are respectively within the preset threshold interval and whether the weather phenomenon data is a preset weather phenomenon, and if so, the wind speed sensor of the current site is frozen; or

[0026] When the current site has a neighboring site reference and a preset weather phenomenon exists, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the third threshold interval, and whether the temperature data and relative humidity data are respectively in the preset threshold interval and whether the weather phenomenon data is the preset weather phenomenon. If so, the wind direction sensor of the current site is frozen.

[0027] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein when the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, determining whether the pre-processed wind speed and wind direction data are within a fourth threshold interval, and if so, freezing the wind speed and wind direction sensors at the current site includes:

[0028] When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, determining whether the number of times that the maximum wind speed data or the two-minute average wind speed data at the current site is continuously 0 is within a fourth threshold interval, and if so, freezing the wind speed sensor at the current site; or

[0029] When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, it is determined whether the wind direction data of the maximum wind speed at the current site or the time for which the two-minute average wind direction data remains unchanged is within a fourth threshold interval. If so, the wind direction sensor at the current site is frozen.

[0030] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the method further includes:

[0031] When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or missing, and the temperature data and the relative humidity data are respectively within the preset threshold range, and the weather phenomenon data is the preset weather phenomenon, the wind speed sensor of the current site is frozen; or

[0032] When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or is missing and the wind speed sensor was frozen at the previous time, the wind speed sensor of the current site is frozen.

[0033] According to a second aspect of the present disclosure, a quality control device for freezing a wind speed and wind direction sensor is provided. The device comprises:

[0034] The acquisition module is used to obtain the wind speed and direction data of the current site;

[0035] A preprocessing module, used for preprocessing the wind speed and wind direction data;

[0036] A recognition module, used for judging whether the pre-processed wind speed and wind direction data are within a first threshold interval when there is no neighboring site reference for the current site, and if so, freezing the wind speed and wind direction sensors of the current site;

[0037] The identification module is further used to determine whether the pre-processed wind speed and wind direction data are within a second threshold interval when there is a neighboring site reference for the current site and there is no preset weather phenomenon, and if so, the wind speed and wind direction sensor of the current site is frozen;

[0038] The identification module is further used to determine whether the pre-processed wind speed and wind direction data are within a third threshold interval when there is a neighboring site reference and a preset weather phenomenon exists at the current site, and if so, freeze the wind speed and wind direction sensors at the current site;

[0039] The identification module is also used to determine whether the pre-processed wind speed and wind direction data are in a fourth threshold interval when the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter. If so, the wind speed and wind direction sensors at the current site are frozen.

[0040] According to a third aspect of the present disclosure, an electronic device is provided, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the method described above is implemented.

[0041] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method described above is implemented.

[0042] The embodiment of the present application provides a quality control method, device and equipment for freezing of wind speed and wind direction sensors, which can obtain wind speed and wind direction data of the current site; then pre-process the wind speed and wind direction data; when there is no neighboring site reference for the current site, determine whether the pre-processed wind speed and wind direction data are in a first threshold interval, if so, the wind speed and wind direction sensor of the current site is frozen; when there is a neighboring site reference for the current site and there is no preset weather phenomenon, determine whether the pre-processed wind speed and wind direction data are in a second threshold interval, if so, the wind speed and wind direction sensor of the current site is frozen; when there is a neighboring site reference for the current site and there is a preset weather phenomenon, determine whether the pre-processed wind speed and wind direction data are in a third threshold interval, if so, the wind speed and wind direction sensor of the current site is frozen; When the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, it is determined whether the pre-processed wind speed and wind direction data are in the fourth threshold interval. If so, the wind speed and wind direction sensors at the current site are frozen. Based on this, a multi-source data quality control method for studying near-ground wind can be proposed. On the basis of traditional wind quality control, a wind freezing quality control algorithm is proposed. The wind speed and wind direction data are pre-processed to eliminate erroneous data, and then the instantaneous wind speed and wind direction, maximum wind speed and wind direction, two-minute average wind speed and wind direction, relative humidity, temperature, weather phenomena and other factors are combined to identify whether the wind speed and wind direction sensors are frozen, so as to detect equipment problems behind the abnormal data as early as possible, and help business personnel at all levels to find, locate and solve problems as soon as possible. It has been integrated into the Tianheng system for national business applications.

[0043] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0045] Figure 1 A flow chart showing a quality control method for freezing of a wind speed and wind direction sensor according to an embodiment of the present disclosure is shown;

[0046] Figure 2 A flow chart of wind speed sensor freeze identification according to an embodiment of the present disclosure is shown;

[0047] Figure 3 A flow chart of wind direction sensor freeze identification according to an embodiment of the present disclosure is shown;

[0048] Figure 4 A schematic diagram of the distribution of freezing sites for wind speed and wind direction sensors according to an embodiment of the present disclosure is shown;

[0049] Figure 5 A flow chart of wind speed and direction data quality control according to an embodiment of the present disclosure is shown;

[0050] Figure 6 A block diagram of a quality control device for freezing a wind speed and wind direction sensor according to an embodiment of the present disclosure is shown;

[0051] Figure 7 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0053] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] In the present disclosure, a quality control method for studying near-surface winds using multi-source data can be proposed. A wind freezing quality control algorithm is proposed on the basis of traditional quality control of wind. The wind speed and wind direction data are pre-processed to eliminate erroneous data, and then the instantaneous wind speed and wind direction, maximum wind speed and wind direction, two-minute average wind speed and wind direction, relative humidity, temperature, weather phenomena and other factors are combined to identify whether the wind speed and wind direction sensors are frozen. The equipment problems behind the abnormal data can be discovered early, helping business personnel at all levels to discover, locate and solve problems as soon as possible. It has been integrated into the Tianheng system to achieve national business applications.

[0055] Figure 1 A flow chart of a quality control method 100 for freezing of a wind speed and wind direction sensor according to an embodiment of the present disclosure is shown.

[0056] In block 110 , the wind speed and wind direction data of the current site are obtained.

[0057] At block 120 , the wind speed and direction data are pre-processed.

[0058] In box 130, when there is no neighboring site reference for the current site, it is determined whether the pre-processed wind speed and wind direction data are within a first threshold interval. If so, the wind speed and wind direction sensors of the current site are frozen.

[0059] In box 140, when there is a neighboring site reference for the current site and there is no preset weather phenomenon, it is determined whether the preprocessed wind speed and wind direction data are within the second threshold interval. If so, the wind speed and wind direction sensors of the current site are frozen.

[0060] In box 150, when there is a neighboring site reference for the current site and a preset weather phenomenon exists, it is determined whether the preprocessed wind speed and wind direction data are within a third threshold interval. If so, the wind speed and wind direction sensors of the current site are frozen.

[0061] In box 160, when the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, it is determined whether the preprocessed wind speed and wind direction data are within a fourth threshold interval. If so, the wind speed and wind direction sensors at the current site are frozen.

[0062] In block 110, the real-time wind speed and wind direction data of the current site may be collected by wind speed and wind direction sensors. The historical wind speed and wind direction data and the corresponding quality control marks may also be extracted from historical meteorological data.

[0063] Among them, the historical wind speed and wind direction data and their corresponding quality control labels can be used to determine whether the data in the wind speed and wind direction data belongs to the wind speed sensor freeze identification element or the wind direction sensor freeze identification element.

[0064] In some embodiments, the maximum wind speed and wind direction data of the ground station, the two-minute average wind speed and wind direction data, the instantaneous wind speed and wind direction data, the temperature data, the relative humidity data, and the weather phenomenon data can also be extracted from the historical meteorological data, and then the extracted data can be cleaned to remove missing values, abnormal values ​​and duplicate values ​​to ensure data quality. The cleaned data can also be standardized to form a data set.

[0065] In some embodiments, the wind speed and wind direction data include maximum wind speed and wind direction data, two-minute average wind speed and wind direction data, instantaneous wind speed and wind direction data, temperature data, relative humidity data, and weather phenomenon data;

[0066] The above acquisition of wind speed and direction data of the current site includes:

[0067] Obtain the current site's maximum wind speed and direction data, two-minute average wind speed and direction data, instantaneous wind speed and direction data, temperature data, relative humidity data, and weather phenomenon data;

[0068] Based on the principal component analysis algorithm, the maximum wind speed data of the current site, the two-minute average wind speed data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind speed sensor; the wind direction data of the maximum wind speed of the current site, the instantaneous wind direction data, the two-minute average wind direction data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind direction sensor.

[0069] In some embodiments, the principal component analysis algorithm (PCA) can be used to analyze the effects of maximum wind speed and wind direction data, two-minute average wind speed and wind direction data, instantaneous wind speed and wind direction data, temperature data, relative humidity data, and weather phenomenon data on the freezing judgment of wind speed and wind direction sensors. The idea of ​​dimensionality reduction is used to transform multiple indicators into a few comprehensive indicators, extract the most effective features, and combine the calculation results with forecasting experience to determine the maximum wind speed data, two-minute average wind speed data, temperature data, relative humidity data, and weather phenomenon data of the current site as the freezing judgment factors of the wind speed sensor; determine the wind direction data, instantaneous wind direction data, two-minute average wind direction data, temperature data, relative humidity data, and weather phenomenon data of the maximum wind speed of the current site as the freezing judgment factors of the wind direction sensor.

[0070] Specifically, the Spearman correlation coefficient ρ between the freezing of wind speed and wind direction sensors and the data of temperature, air pressure, relative humidity, precipitation, weather phenomena and other factors is calculated by correlation analysis. Based on the calculation results and forecast experience, the temperature, relative humidity and weather phenomena are determined as reference factors for judgment. The data of temperature, relative humidity, weather phenomena and other factors when the wind speed and wind direction are frozen are statistically analyzed. It is found that when the temperature T meets 0°C or below and the relative humidity U is greater than 85%, the wind speed and wind direction sensors are prone to freezing. At the same time, if the weather phenomenon is fog, light fog, snow, sleet, ice or rime, it is easier to reach the freezing conditions of wind speed and wind direction sensors. When the diameter of ice (rime) on the wire exceeds 27mm (including the cable diameter), wind speed and wind direction are prone to freezing.

[0071] In block 120 , the wind speed and direction data may be preprocessed using a gross error detection method.

[0072] In some embodiments, the above-mentioned preprocessing of wind speed and wind direction data includes:

[0073] The wind speed and wind direction data are preprocessed based on hourly data limit value check, hourly data continuity check, and / or minute data limit value check and time variation check.

[0074] In some embodiments, preprocessing the wind speed and wind direction data based on the hourly data limit value check includes:

[0075] Determine whether the two-minute average wind speed, ten-minute average wind speed, hourly maximum wind speed, hourly maximum wind speed, instantaneous wind speed, maximum instantaneous wind speed in the past 6 hours, and maximum instantaneous wind speed in the past 12 hours are within the range of (0,60). If not, it is determined to be a data error.

[0076] Determine whether the two-minute average wind speed, ten-minute average wind speed, wind direction of the maximum wind speed within the hour, wind direction of the maximum wind speed within the hour, instantaneous wind direction, maximum instantaneous wind direction in the past 6 hours, and maximum instantaneous wind direction in the past 12 hours are within the range of (0,360). If not, it is determined to be a data error.

[0077] Determine whether the maximum wind speed within the hour and the hourly maximum wind speed occur between [01 minute of the previous hour and 00 minute of the current hour]. If not, it is determined to be a data error.

[0078] In some embodiments, preprocessing the wind speed and direction data based on the hourly data continuity check includes:

[0079] If the standard deviations of the corresponding elements of the two-minute average wind speed, ten-minute average wind speed, maximum wind speed within an hour, maximum wind speed within an hour, and instantaneous wind speed in the previous 12 hours are all 0 and all elements are greater than 0, it is judged that the data is wrong.

[0080] In some embodiments, preprocessing the wind speed and wind direction data based on minute data limit value check and time variation check includes:

[0081] Determine whether the one-minute average wind direction is within the range of (0,360), and whether the one-minute average wind speed is within the range of (0,60). If not, it is considered to be a data error.

[0082] If the minute changes of the two-minute average wind speed, ten-minute average wind speed, maximum wind speed within the hour, maximum wind speed within the hour, instantaneous wind speed, maximum instantaneous wind speed in the past 6 hours, and maximum instantaneous wind speed in the past 12 hours exceed 20m / s, it is judged as data error.

[0083] In some embodiments, after the wind speed and wind direction data are preprocessed, the method further includes:

[0084] With the current site as the center, a window function with a preset range is used to calculate the similarity between the adjacent sites and the current site, and the site with the highest correlation is taken as the neighboring site of the current site. The wind speed and wind direction data of the neighboring sites are used as reference values ​​for the wind speed and wind direction data of the current site.

[0085] In some embodiments, the window function within the preset range can be set according to the actual needs of the user.

[0086] In some embodiments, a 20×20 window function may be used to calculate the similarity of the surface wind data between sites, and the Spearman correlation coefficient ρ of the surface wind data of the current site within a range of 20 km×20 km may be calculated with the current site as the center, that is:

[0087]

[0088] d i =R(X i )-R(Y i )

[0089] Among them, R(X i ) and R(Y i ) are the ranks of the ith data point in variables X and Y, respectively, and n is the number of samples.

[0090] In some embodiments, the obtained correlation coefficients may be ranked to obtain the site with the highest correlation, which is the neighboring site of the site, and the data of the site is selected as the reference value of the current site data. It should be noted that the above-mentioned neighboring site may be a neighboring national station site.

[0091] In block 130, when there is no neighboring site reference for the current site, determining whether the preprocessed wind speed and wind direction data are within the first threshold range, if so, freezing the wind speed and wind direction sensor of the current site includes:

[0092] When there is no neighboring site reference for the current site, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within the first threshold interval and whether the temperature data and relative humidity data are respectively within the preset threshold intervals. If so, the wind speed sensor of the current site is frozen; or

[0093] When there is no neighboring site reference for the current site, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed remains unchanged at the current site is within the first threshold interval and whether the temperature data and relative humidity data are respectively within the preset threshold intervals. If so, the wind direction sensor of the current site is frozen.

[0094] In block 140, when there is a neighboring site reference for the current site and there is no preset weather phenomenon, it is determined whether the pre-processed wind speed and wind direction data are within the second threshold interval. If so, freezing the wind speed and wind direction sensor of the current site includes:

[0095] When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the number of times the maximum wind speed data of the current site is continuously 0 is within the second threshold interval, and whether the temperature data and relative humidity data are respectively within the preset threshold interval and whether the maximum wind speed data of the neighboring site at the same time is not 0, if so, the wind speed sensor of the current site is frozen; or

[0096] When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the second threshold interval, and whether the temperature data and relative humidity data are respectively in the preset threshold interval and whether the wind direction data of the neighboring site at the same time has changed. If so, the wind direction sensor of the current site is frozen.

[0097] In block 150, when there is a neighboring site reference for the current site and there is a preset weather phenomenon, it is determined whether the preprocessed wind speed and wind direction data are within a third threshold interval. If so, freezing the wind speed and wind direction sensor of the current site includes:

[0098] When the current site has a neighboring site reference and a preset weather phenomenon exists, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within the third threshold interval, and whether the temperature data and relative humidity data are respectively within the preset threshold interval and whether the weather phenomenon data is the preset weather phenomenon. If so, the wind speed sensor of the current site is frozen; or

[0099] When the current site has a neighboring site reference and a preset weather phenomenon exists, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the third threshold interval, and whether the temperature data and relative humidity data are in the preset threshold intervals respectively and whether the weather phenomenon data is the preset weather phenomenon. If so, the wind direction sensor of the current site is frozen.

[0100] In block 160, when the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, it is determined whether the pre-processed wind speed and wind direction data are within the fourth threshold interval. If so, freezing the wind speed and wind direction sensors at the current site includes:

[0101] When the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, it is determined whether the maximum wind speed data or the two-minute average wind speed data at the current site is continuously 0 or not within the fourth threshold interval, and if so, the wind speed sensor at the current site is frozen; or

[0102] When the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, it is determined whether the maximum wind speed data or the two-minute average wind direction data of the current site is continuously unchanged for a period of time within the fourth threshold interval. If so, the wind direction sensor at the current site is frozen.

[0103] In some embodiments, the above method further comprises:

[0104] When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or missing, and the temperature data and relative humidity data are respectively within the preset threshold range, and the weather phenomenon data is the preset weather phenomenon, the wind speed sensor of the current site is frozen; or

[0105] When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or is missing and the wind speed sensor was frozen at the previous time, the wind speed sensor of the current site is frozen.

[0106] In some embodiments, the first threshold interval, the second threshold interval, the third threshold interval, and the fourth threshold interval may be determined based on historical data.

[0107] For example, statistics were collected for the maximum duration of the maximum wind speed of 0 m / s at the ground station in the past three years, as well as the wind direction of the maximum wind speed, the two-minute average wind direction, and the maximum duration of the instantaneous wind direction that remained unchanged, and their probability distribution was calculated. According to the probability distribution, the maximum duration of the two-minute average wind speed of 0 m / s and the duration of the two-minute average wind direction that remained unchanged were concentrated below 3 times, accounting for 99.04%, of which 96.2% were below 2 times; the duration of the instantaneous wind direction that remained unchanged was concentrated below 3 times, accounting for 99%, of which 96.2% were below 2 times; the maximum duration of the maximum wind speed and the wind direction of the maximum wind speed were mainly concentrated below 8 times, accounting for about 83%, about 80% for less than 6 times, and about 74% for less than 3 times. The stations judged to be frozen were selected, and the maximum duration of the maximum wind speed of 0 m / s and the maximum duration of the wind direction of the maximum wind speed that remained unchanged were counted, and the results were all above 8 times. The duration of the maximum wind speed being 0 m / s when freezing occurs, the wind direction of the maximum wind speed, the two-minute average wind direction and the instantaneous wind direction being unchanged were counted, and the results were all more than 8 times.

[0108] In some embodiments, in order to ensure the accuracy of the judgment, four wind speed and wind direction sensor freezing judgment thresholds are set, namely the first threshold T1, the second threshold T2, the third threshold T3 and the fourth threshold T4. The first threshold interval, the second threshold interval, the third threshold interval and the fourth threshold interval are as follows:

[0109]

[0110] In some embodiments, when the site has no neighboring station or the neighboring station is not representative, threshold T1 is used for judgment; when the site has neighboring stations but no weather phenomena, threshold T2 is used for judgment; when the site has both neighboring stations and weather phenomena, threshold T3 is used for judgment; when the diameter of ice (rime) accumulated on the wires exceeds 27 mm (including the cable diameter), threshold T4 ≥ 2 is used to judge that the wind speed sensor is frozen, and threshold T4 ≥ 3 is used to judge that the wind direction sensor is frozen.

[0111] In some embodiments, when the wind speed is low, less than 5m / s (usually before freezing, there is a calm wind), the relative humidity is high (U>85%), the temperature is low (below 0°C), and accompanied by snow or sleet, fog or mist, etc., the wind speed and wind direction sensors are prone to freezing. The freezing algorithm makes a judgment for 24 hours.

[0112] In some embodiments, in order to explain the recognition of the freezing of the wind speed and wind direction sensors in more detail, the recognition of the freezing of the wind speed sensor and the recognition of the freezing of the wind direction sensor will be explained respectively.

[0113] like Figure 2 As shown in the figure, if one of the following conditions is met, the wind speed sensor is considered frozen:

[0114] (1) When the maximum wind speed is continuously 0 m / s, the time is T1, and the relative humidity U>85% and the temperature T≤0℃;

[0115] (2) The maximum wind speed is 0 m / s continuously for a period of time T2, and the relative humidity U>85%, the temperature T≤0°C, and the maximum wind speed at the adjacent station is not 0 m / s at the same time;

[0116] (3) The maximum wind speed is continuously 0 m / s for a time period of T3, and the relative humidity is U>85%, the temperature is ≤0°C, and the weather phenomenon at the adjacent stations is fog, mist, snow, sleet, ice, or rime;

[0117] (4) The diameter of ice (rime) on the wires is ≥ 27 mm (including the cable diameter) and the wind speed (maximum wind speed or two-minute wind speed) is 0 m / s for T4 consecutive times;

[0118] (5) The two-minute or maximum wind speed is 0 or missing; and the temperature T at this station or a nearby station (within 20 km) is less than 0°C; and the relative humidity U at this station or a nearby station is greater than 85%; and the weather phenomenon at the nearby station (within 20 km) was snow or sleet within the previous 3 hours; or the current weather phenomenon or the past weather phenomenon was intermittent or continuous snowfall, sleet, or drizzle; or the weather phenomenon at the nearby station (within 20 km) was foggy and the temperature T was less than 0°C.

[0119] (6) The two-minute wind speed or maximum wind speed is 0 m / s or is missing, and the previous time is judged as freezing.

[0120] like Figure 3 As shown in the figure, if one of the following conditions is met, the wind direction sensor is considered frozen:

[0121] (1) The instantaneous wind direction, the two-minute average wind direction, or the wind direction corresponding to the maximum wind speed remains unchanged for a period of time T1, and the relative humidity U>85% and the temperature T≤0℃;

[0122] (2) The instantaneous wind direction, the two-minute average wind direction, or the wind direction corresponding to the maximum wind speed remains unchanged for a period of time T2, and the relative humidity is greater than 85%, and the temperature T is less than or equal to 0°C, and the wind direction of the adjacent station changes;

[0123] (3) The instantaneous wind direction, the two-minute average wind direction, or the wind direction corresponding to the maximum wind speed remains unchanged for a continuous period of time T3, and the relative humidity U>85%, the temperature T≤0°C, and there is fog, light mist, snow, sleet, ice, rime, etc.;

[0124] (4) The diameter of ice (rime) accumulated on the wires is ≥ 27 mm (including the cable diameter) and the wind direction (the direction of the maximum wind speed or the two-minute wind direction) remains unchanged for T4 consecutive times.

[0125] In some embodiments, the quality control method for freezing the wind speed and wind direction sensor may be further tested and evaluated.

[0126] For example, the data time of the abnormal alarm station in the maintenance record table can be compared with the calculation result, and the ground wind alarm accuracy rate can be calculated to make a judgment. If the ground wind alarm accuracy rate is not less than 80%, it is a pass.

[0127] Specifically, the test was conducted using the TianQing ground data dataset "Ground Hourly Data" from June 29 to December 21, 2023, and the maximum wind speed, instantaneous wind direction, wind direction of maximum wind speed, and two-minute average wind direction frozen sites identified by the algorithm were manually checked. As shown in Table 1, during this period, the algorithm quality controlled 70 ground wind speed freeze hits, with an alarm accuracy rate of 97.22%, and 3 wind direction freeze hits, with an alarm accuracy rate of 100%, exceeding the expected target set (80%).

[0128] Table 1: Test results of wind speed and wind direction sensor freezing quality control method

[0129]

[0130] Furthermore, after the test is passed, the comprehensive wind speed and wind direction sensor freezing quality control method is integrated in the Tianheng system for business applications in a large range, and the wind speed and direction data in a large range are identified and applied.

[0131] For example, this quality control method was first used in a region in February 2024 during a large-scale rain, snow and freezing weather. The test results were as follows: Figure 4 , the algorithm issued abnormal alarms for 2669 stations, hit 2655 stations, and the alarm accuracy rate was 99.2%.

[0132] In summary, the quality control method for freezing wind speed and wind direction sensors is a multi-source quality control method based on multiple factors, continuity, spatial consistency, observation and pattern consistency detection, etc. This method analyzes the wind direction or wind speed change trend through multi-source data to determine whether the wind speed and wind direction sensors are working normally.

[0133] like Figure 5 As shown, the method first preprocesses the wind speed and direction data, performs gross error detection on the wind speed and direction data, removes erroneous data, and then makes a freezing judgment. If freezing occurs, an abnormal alarm is issued.

[0134] According to the embodiments of the present disclosure, the following technical effects are achieved:

[0135] It is possible to obtain the wind speed and wind direction data of the current site; then pre-process the wind speed and wind direction data; when the current site does not have a reference to an adjacent site, determine whether the pre-processed wind speed and wind direction data are in the first threshold interval, if so, the wind speed and wind direction sensors of the current site are frozen; when the current site has a reference to an adjacent site and there is no preset weather phenomenon, determine whether the pre-processed wind speed and wind direction data are in the second threshold interval, if so, the wind speed and wind direction sensors of the current site are frozen; when the current site has a reference to an adjacent site and there is a preset weather phenomenon, determine whether the pre-processed wind speed and wind direction data are in the third threshold interval, if so, the wind speed and wind direction sensors of the current site are frozen; when the diameter of ice accumulation on the wires at the current site is greater than or equal to When the diameter is preset, it is determined whether the preprocessed wind speed and wind direction data are in the fourth threshold interval. If so, the wind speed and wind direction sensors of the current site are frozen. Based on this, a multi-source data quality control method for studying near-ground wind can be proposed. On the basis of traditional wind quality control, a wind freezing quality control algorithm is proposed. The wind speed and wind direction data are preprocessed to eliminate erroneous data, and then the instantaneous wind speed and wind direction, maximum wind speed and wind direction, average wind speed and wind direction, relative humidity, temperature, weather phenomena and other factors are combined to identify whether the wind speed and wind direction sensors are frozen, so as to detect equipment problems behind abnormal data as early as possible, and help business personnel at all levels to find, locate and solve problems as soon as possible. It has been integrated into the Tianheng system for national business applications.

[0136] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0137] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0138] Figure 6 FIG. 6 is a block diagram of a quality control device 600 for freezing a wind speed and wind direction sensor according to an embodiment of the present disclosure. Figure 6 As shown, the device 600 includes:

[0139] The acquisition module 610 is used to obtain the wind speed and wind direction data of the current site;

[0140] A preprocessing module 620 is used to preprocess the wind speed and wind direction data;

[0141] The identification module 630 is used to determine whether the pre-processed wind speed and wind direction data are within the first threshold range when there is no neighboring site reference for the current site. If so, the wind speed and wind direction sensors of the current site are frozen;

[0142] The identification module 630 is also used to determine whether the pre-processed wind speed and wind direction data are within the second threshold range when there is a neighboring site reference for the current site and there is no preset weather phenomenon. If so, the wind speed and wind direction sensors of the current site are frozen;

[0143] The identification module 630 is also used to determine whether the pre-processed wind speed and wind direction data are within a third threshold interval when there is a neighboring site reference and a preset weather phenomenon exists at the current site. If so, the wind speed and wind direction sensors of the current site are frozen;

[0144] The identification module 630 is also used to determine whether the pre-processed wind speed and wind direction data are in a fourth threshold interval when the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter. If so, the wind speed and wind direction sensors at the current site are frozen.

[0145] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0146] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0147] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0148] Figure 7 A block diagram of an exemplary electronic device 700 capable of implementing an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0149] The electronic device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a ROM 702 or a computer program loaded from a storage unit 708 into a RAM 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An I / O interface 705 is also connected to the bus 704.

[0150] Multiple components in the electronic device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the electronic device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0151] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 701 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 708.

[0152] In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to execute the method 100 in any other appropriate manner (e.g., by means of firmware).

[0153] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0154] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0155] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0156] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0157] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0158] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0159] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0160] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A quality control method for freezing of wind speed and wind direction sensors, characterized in that: include: Get the wind speed and direction data of the current site; Preprocessing the wind speed and wind direction data; When there is no neighboring site reference for the current site, determining whether the preprocessed wind speed and wind direction data are within a first threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site; When there is a neighboring site reference for the current site and there is no preset weather phenomenon, determining whether the preprocessed wind speed and wind direction data are within a second threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site; When the current site has a neighboring site reference and a preset weather phenomenon exists, determining whether the preprocessed wind speed and wind direction data are within a third threshold interval, and if so, freezing the wind speed and wind direction sensors of the current site; When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, it is determined whether the preprocessed wind speed and wind direction data are within a fourth threshold interval; if so, the wind speed and wind direction sensors at the current site are frozen.

2. The method according to claim 1, characterized in that The wind speed and wind direction data include maximum wind speed and wind direction data, two-minute average wind speed and wind direction data, instantaneous wind speed and wind direction data, temperature data, relative humidity data, and weather phenomenon data; The acquisition of wind speed and wind direction data of the current site includes: Obtain the current site's maximum wind speed and direction data, two-minute average wind speed and direction data, instantaneous wind speed and direction data, temperature data, relative humidity data, and weather phenomenon data; Based on the principal component analysis algorithm, the maximum wind speed data of the current site, the two-minute average wind speed data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind speed sensor; the wind direction data of the maximum wind speed of the current site, the instantaneous wind direction data, the two-minute average wind direction data, the temperature data, the relative humidity data, and the weather phenomenon data are determined as the freezing identification factors of the wind direction sensor.

3. The method according to claim 2, characterized in that When there is no neighboring site reference for the current site, determining whether the preprocessed wind speed and wind direction data are within a first threshold range, and if so, freezing the wind speed and wind direction sensor of the current site includes: When there is no neighboring site reference for the current site, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within a first threshold interval and whether the temperature data and the relative humidity data are respectively within a preset threshold interval, and if so, freeze the wind speed sensor of the current site; or When there is no neighboring site reference for the current site, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time period during which the wind direction data of the maximum wind speed remains unchanged at the current site is within the first threshold interval and whether the temperature data and relative humidity data are within the preset threshold intervals respectively. If so, the wind direction sensor of the current site is frozen.

4. The method according to claim 2, characterized in that: When the current site has a neighboring site reference and there is no preset weather phenomenon, determining whether the preprocessed wind speed and wind direction data are within a second threshold range, and if so, freezing the wind speed and wind direction sensor of the current site includes: When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the number of times the maximum wind speed data of the current site is continuously 0 is within a second threshold interval, and whether the temperature data and relative humidity data are respectively within the preset threshold interval and whether the maximum wind speed data of the neighboring site at the same time is not 0, if so, the wind speed sensor of the current site is frozen; or When the current site has a neighboring site reference and there is no preset weather phenomenon, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the second threshold interval, and whether the temperature data and relative humidity data are respectively in the preset threshold interval and whether the wind direction data of the neighboring site at the same time has changed. If so, the wind direction sensor of the current site is frozen.

5. The method according to claim 2, characterized in that: When the current site has a neighboring site reference and a preset weather phenomenon exists, determining whether the preprocessed wind speed and wind direction data are within a third threshold interval, and if so, freezing the wind speed and wind direction sensor of the current site includes: When there is a neighboring site reference for the current site and there is a preset weather phenomenon, determine whether the number of times that the maximum wind speed data of the current site is continuously 0 is within a third threshold interval, and whether the temperature data and the relative humidity data are respectively within the preset threshold interval and whether the weather phenomenon data is a preset weather phenomenon, and if so, the wind speed sensor of the current site is frozen; or When the current site has a neighboring site reference and a preset weather phenomenon exists, determine whether the instantaneous wind direction data, the two-minute average wind direction data, or the time when the wind direction data of the maximum wind speed is continuously unchanged at the current site is in the third threshold interval, and whether the temperature data and relative humidity data are respectively in the preset threshold interval and whether the weather phenomenon data is the preset weather phenomenon. If so, the wind direction sensor of the current site is frozen.

6. The method according to claim 2, characterized in that When the diameter of ice accumulation on the wires at the current site is greater than or equal to the preset diameter, determining whether the pre-processed wind speed and wind direction data are within a fourth threshold interval, and if so, freezing the wind speed and wind direction sensors at the current site includes: When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, determining whether the number of times that the maximum wind speed data or the two-minute average wind speed data at the current site is continuously 0 is within a fourth threshold interval, and if so, freezing the wind speed sensor at the current site; or When the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter, it is determined whether the wind direction data of the maximum wind speed at the current site or the time for which the two-minute average wind direction data remains unchanged is within a fourth threshold interval. If so, the wind direction sensor at the current site is frozen.

7. The method according to any one of claims 2 to 6, characterized in that: The method further comprises: When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or missing, and the temperature data and the relative humidity data are respectively within the preset threshold range, and the weather phenomenon data is the preset weather phenomenon, the wind speed sensor of the current site is frozen; or When the two-minute average wind speed data or the maximum wind speed data of the current site is 0 or is missing and the wind speed sensor was frozen at the previous time, the wind speed sensor of the current site is frozen.

8. A quality control device for freezing a wind speed and direction sensor, characterized in that: include: The acquisition module is used to obtain the wind speed and direction data of the current site; A preprocessing module, used for preprocessing the wind speed and wind direction data; A recognition module, used for judging whether the pre-processed wind speed and wind direction data are within a first threshold interval when there is no neighboring site reference for the current site, and if so, freezing the wind speed and wind direction sensors of the current site; The identification module is further used to determine whether the pre-processed wind speed and wind direction data are within a second threshold interval when there is a neighboring site reference for the current site and there is no preset weather phenomenon, and if so, the wind speed and wind direction sensor of the current site is frozen; The identification module is further used to determine whether the pre-processed wind speed and wind direction data are within a third threshold interval when there is a neighboring site reference and a preset weather phenomenon exists at the current site, and if so, freeze the wind speed and wind direction sensors at the current site; The identification module is also used to determine whether the pre-processed wind speed and wind direction data are in a fourth threshold interval when the diameter of ice accumulation on the wires at the current site is greater than or equal to a preset diameter. If so, the wind speed and wind direction sensors at the current site are frozen.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

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