Seasonal frozen soil space consistency quality control method and system
By screening and comparing data in seasonal permafrost observations and combining artificial quality control, the problem of inaccurate data in traditional seasonal permafrost quality control is solved, and higher accuracy and comprehensive data control is achieved.
Patent Information
- Application Number
- CN202510474280.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-16
- Publication Date
- 2025-08-01
AI Technical Summary
The traditional seasonal permafrost quality control methods have problems such as inaccurate data and incomplete quality control, resulting in insufficient accuracy and comprehensiveness of observation data.
By determining the location information of the meteorological station, screening seasonal permafrost observation data, calculating the maximum permafrost depth, suspicious depth of permafrost and error depth of permafrost, performing data comparison and artificial quality control, marking and updating the permafrost depth values, achieving data accuracy and comprehensive control.
It improves the accuracy of observation data and the comprehensiveness of seasonal permafrost quality control, reduces artificial errors and instrument damage, and ensures the accuracy and completeness of the data.
Smart Images
Figure CN120407547A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of frozen soil measurement, and particularly to a method and system for quality control of the spatial consistency of seasonal frozen soil. Background Art
[0002] Frozen soil refers to various rocks and soils containing ice (or ice-water mixture) when the temperature drops to 0°C or below. Generally, it can be divided into seasonal frozen soil (half a month to several months) and permafrost (also known as permanent frozen soil, referring to soil or rock strata that are frozen and do not thaw for 2 years or more).
[0003] Seasonal frozen soil is an observation project uniformly arranged by the meteorological department in China to observe climate change and serve industrial and agricultural production and life. Its observation contents mainly include the thickness and number of frozen layers of the soil. Before automation, manual measurement using a TB1-1 type frozen soil meter (also called Danilin frozen soil meter, hereinafter referred to as the frozen soil meter) was used for frozen soil observation, with a measuring range generally of 50 - 450 cm. The observer would lift the frozen soil meter above the ground before 08:00 every day and judge the number and depth of frozen soil layers by touching the freezing degree of the water in the flexible hose of the frozen soil meter. When the water in the flexible hose was in an ice-water mixture state, it was regarded as frozen soil. This observation method has been in use since the 1950s. It is not only cumbersome and labor-intensive, but also the flexible hose of the frozen soil meter is very easy to break during extraction and measurement, resulting in equipment damage and affecting the observation work. In addition, affected by the subjective perception ability of the observer, there will also be human errors in the recorded data. After the automation of frozen soil observation, minute-level observation can be achieved, which can not only describe in detail the variation law of frozen soil during the entire frozen soil period, but also does not require inserting and removing the inner observation tube every day, destroying the upper and lower temperature balance inside the tube, reducing instrument errors, and thus improving the accuracy of the observed data.
[0004] To ensure the quality of the observed data, quality control needs to be carried out on the data of the automatic weather station. In the traditional quality control method for seasonal frozen soil, the quality control of the automatically observed data of the instrument includes equipment-end quality control, business terminal software quality control, provincial-level quality control, and national-level quality assessment. Therefore, due to inaccurate observed data, the traditional quality control method for seasonal frozen soil often has the problem of incomplete quality control. Summary of the Invention
[0005] Based on this, in order to solve the above technical problems, a method and system for quality control of the spatial consistency of seasonal frozen soil are provided, which can improve the accuracy of the observed data and the comprehensiveness of the quality control of seasonal frozen soil.
[0006] A method for quality control of the spatial consistency of seasonal frozen soil, the method comprising:
[0007] Determine the position information of each meteorological station, and collect seasonal frozen soil observation data through each of the meteorological stations;
[0008] Based on the position information, filter the seasonal frozen soil observation data to obtain the maximum frozen soil depth for each month, and determine the suspicious frozen soil depth and the incorrect frozen soil depth based on the maximum frozen soil depth;
[0009] Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results;
[0010] Determine whether manual quality control is required according to the comparison results. If so, obtain the manual quality control result data, mark each frozen soil depth value according to the manual quality control result data, and update the suspicious frozen soil depth and the incorrect frozen soil depth to complete the quality control.
[0011] In one embodiment, based on the position information, filtering the seasonal frozen soil observation data to obtain the maximum frozen soil depth for each month includes:
[0012] Extract the latitude data and altitude data from the position information;
[0013] Based on the latitude data and altitude data, screen out each target meteorological station from each meteorological station;
[0014] Search for the target seasonal frozen soil observation data corresponding to each target meteorological station, and screen out the maximum frozen soil depth for each month from the target seasonal frozen soil observation data.
[0015] In one embodiment, determining the suspicious frozen soil depth and the incorrect frozen soil depth based on the maximum frozen soil depth includes:
[0016] Determine the threshold range of the frozen soil depth;
[0017] Determine the frozen soil depth within the threshold range of the maximum frozen soil depth as the suspicious frozen soil depth;
[0018] Determine the frozen soil depth not within the threshold range of the maximum frozen soil depth as the incorrect frozen soil depth.
[0019] In one embodiment, comparing each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results includes:
[0020] Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, and take the frozen soil depth value less than or equal to the maximum frozen soil depth as the correct frozen soil depth value to obtain the result of correct frozen soil observation;
[0021] Compare each frozen soil depth value in the seasonal frozen soil observation data with the suspicious frozen soil depth, and take the frozen soil depth value that is greater than the maximum frozen soil depth and less than the suspicious frozen soil depth as the suspicious frozen soil depth value, to obtain the result of suspicious seasonal frozen soil observation;
[0022] Compare each frozen soil depth value in the seasonal frozen soil observation data with the wrong frozen soil depth, and take the frozen soil depth value that is greater than the wrong frozen soil depth as the wrong frozen soil depth value, to obtain the result of wrong seasonal frozen soil observation.
[0023] In one embodiment, determining whether manual quality control is required according to the comparison result includes:
[0024] Judge the type of the comparison result;
[0025] If the comparison result is the result of correct seasonal frozen soil observation, then manual quality control is not required;
[0026] If the comparison result is the result of suspicious seasonal frozen soil observation or the result of wrong seasonal frozen soil observation, then manual quality control is required.
[0027] We In one embodiment, the method further includes:
[0028] If the comparison result is the result of suspicious seasonal frozen soil observation, then obtain the first correct result of manual quality control, or obtain the first wrong result of manual quality control;
[0029] If the comparison result is the result of wrong seasonal frozen soil observation, then obtain the second correct result of manual quality control, or obtain the second wrong result of manual quality control. [[ID= twenty-six ]]
[0030] In one embodiment, obtaining the manual quality control result data and marking each frozen soil depth value according to the manual quality control result data includes:
[0031] If the first correct result of manual quality control is obtained, then update the maximum frozen soil depth to the current frozen soil depth value, and update the current suspicious frozen soil depth and wrong frozen soil depth;
[0032] If the first wrong result of manual quality control is obtained, then mark the corresponding frozen soil depth value as missing measurement;
[0033] If the second correct result of manual quality control is obtained, then modify the corresponding frozen soil depth value;
[0034] If the second wrong result of manual quality control is obtained, then mark the corresponding frozen soil depth value as missing measurement.
[0035] A seasonal frozen soil spatial consistency quality control system, the system includes:
[0036] A data acquisition module, configured to determine the location information of each meteorological station and collect seasonal frozen soil observation data through each of the meteorological stations;
[0037] A data screening module, configured to screen the seasonal frozen soil observation data based on the location information to obtain the maximum frozen soil depth for each month, and determine the suspicious frozen soil depth and the incorrect frozen soil depth based on the maximum frozen soil depth;
[0038] A numerical judgment module, configured to compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results;
[0039] An artificial quality control module, configured to determine whether artificial quality control is required according to the comparison results. If so, obtain artificial quality control result data, mark each of the frozen soil depth values according to the artificial quality control result data, and update the suspicious frozen soil depth and the incorrect frozen soil depth to complete quality control.
[0040] In one embodiment, the data screening module is further configured to: extract latitude data and altitude data from the location information; screen out each target meteorological station from each of the meteorological stations based on the latitude data and the altitude data; search for target seasonal frozen soil observation data corresponding to each of the target meteorological stations, and screen out the maximum frozen soil depth for each month from the target seasonal frozen soil observation data.
[0041] In one embodiment, the data screening module is further configured to: determine a threshold range of the frozen soil depth; determine the frozen soil depth with the maximum frozen soil depth within the threshold range of the frozen soil depth as the suspicious frozen soil depth; determine the frozen soil depth with the maximum frozen soil depth not within the threshold range of the frozen soil depth as the incorrect frozen soil depth.
[0042] The above seasonal frozen soil spatial consistency quality control method and system screen each seasonal frozen soil observation data through the location information of the meteorological stations, calculate the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth, so as to judge whether artificial quality control is required, and combine artificial quality control to mark and update each frozen soil depth value, which can improve the accuracy of the observation data and the comprehensiveness of the seasonal frozen soil quality control. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 It is an application environment diagram of the seasonal frozen soil spatial consistency quality control method in one embodiment;
[0044] Figure 2 It is a flowchart of the seasonal frozen soil spatial consistency quality control method in one embodiment;
[0045] Figure 3Schematic flowchart of the seasonal frozen soil spatial consistency quality control method in another embodiment;
[0046] Figure 4 Structural block diagram of the seasonal frozen soil spatial consistency quality control system in one embodiment;
[0047] Figure 5 Internal structure diagram of a computer device in one embodiment. Detailed implementation manners
[0048] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0049] It can be understood that the terms "first", "second", etc. used in the present application can be used in this article to describe the correct results of manual quality control, but these correct results of manual quality control are not limited by these terms. These terms are only used to distinguish the first correct result of manual quality control from another correct result of manual quality control. For example, without departing from the scope of the present application, the first correct result of manual quality control can be called the second correct result of manual quality control, and similarly, the second correct result of manual quality control can be called the first correct result of manual quality control. Both the first correct result of manual quality control and the second correct result of manual quality control are correct results of manual quality control, but they are not the same correct result of manual quality control.
[0050] The seasonal frozen soil spatial consistency quality control method provided by the embodiments of the present application can be applied to the application environment as Figure 1 shown. As Figure 1 shown, this application environment includes a computer device 110. The computer device 110 can determine the location information of each meteorological station and collect seasonal frozen soil observation data through each meteorological station; the computer device 110 can screen the seasonal frozen soil observation data based on the location information to obtain the maximum frozen soil depth for each month, and determine the suspicious frozen soil depth and the incorrect frozen soil depth based on the maximum frozen soil depth; the computer device 110 can compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain a comparison result; the computer device 110 can determine whether manual quality control is required according to the comparison result. If so, it can obtain the manual quality control result data, mark each frozen soil depth value according to the manual quality control result data, and update the suspicious frozen soil depth and the incorrect frozen soil depth to complete the quality control. Among them, the computer device 110 can be but is not limited to various personal computers, laptop computers, smart phones, robots, unmanned aerial vehicles, tablet computers and other devices.
[0051] In one embodiment, asFigure 2 As shown in the figure, a method for quality control of the spatial consistency of seasonal frozen soil is provided, including the following steps:
[0052] Step 202: Determine the location information of each meteorological station and collect seasonal frozen soil observation data through each meteorological station.
[0053] Meteorological stations can be used to collect seasonal frozen soil observation data in real time. The computer device can be connected and communicate with each meteorological station to obtain the location information of each meteorological station. The meteorological station can upload the collected seasonal frozen soil observation data to the computer device in real time. Among them, the location information can include longitude data, latitude data, altitude data, etc. of the meteorological station.
[0054] In this embodiment, each meteorological station reports all automatic observation data and parameter information to the provincial information center in the BUFF format data of the ISOS software every minute. After quality control, it is transmitted to the national information center, and then enters the meteorological big data cloud platform after quality control and inspection.
[0055] Step 204: Based on the location information, screen the seasonal frozen soil observation data to obtain the maximum frozen soil depth for each month, and determine the suspicious frozen soil depth and the wrong frozen soil depth based on the maximum frozen soil depth.
[0056] The computer device can hierarchically divide the seasonal frozen soil observation data to screen out the maximum frozen soil depth for each month.
[0057] In one embodiment, a method for quality control of the spatial consistency of seasonal frozen soil may further include the process of screening out the maximum frozen soil for each month. The specific process includes: extracting latitude data and altitude data from the location information; screening out each target meteorological station from each meteorological station based on the latitude data and altitude data; searching for the target seasonal frozen soil observation data corresponding to each target meteorological station, and screening out the maximum frozen soil depth for each month from the target seasonal frozen soil observation data.
[0058] Among them, there are approximately 1,172 meteorological stations in the country, with a latitude range of 25 - 53°, a longitude range of 75 - 134°, and an altitude range of -50 - 4,686 m.
[0059] In this embodiment, meteorological stations can be selected within every three latitude ranges. For altitudes below 2000m, each 500m increase forms a level; for altitudes of 2000m or above, each 1000m increase forms a level, to screen out each target meteorological station. Specifically, for altitudes from -50 to 2000m, each 500m forms a level, with a total of 4 levels C1, C2, C3, C4; for altitudes from 2000 to 4686m, each 1000m forms a level, with a total of 4 levels C5, C6, C7, C8; for latitudes from 25 to 53°, each 3° forms a range, with a total of 6 grades D1, D2, D3, D4, D5, D6. Among them, each grade consists of 12 months M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11, M12. Seasonal frozen soil is an observation item throughout the year, and each grade includes 12 months.
[0060] Next, the computer device can search for the target seasonal frozen soil observation data and screen out the maximum frozen soil depth H i cm for each month as the correct value range.
[0061] In one embodiment, a method for quality control of the spatial consistency of seasonal frozen soil may further include a process of determining various types of depths. The specific process includes: determining the threshold range of the frozen soil depth; determining the frozen soil depth with the maximum frozen soil depth within the threshold range of the frozen soil depth as the suspicious frozen soil depth; and determining the frozen soil depth with the maximum frozen soil depth not within the threshold range of the frozen soil depth as the incorrect frozen soil depth.
[0062] Among them, the threshold range of the frozen soil depth can be 10cm. The computer device can determine various types of depths based on the threshold range of the frozen soil depth and the maximum frozen soil depth. Specifically, the computer device can add the value of the threshold range of the frozen soil depth to the maximum frozen soil depth as the suspicious frozen soil depth; and use values greater than the sum of the maximum frozen soil depth and the threshold range of the frozen soil depth as the incorrect frozen soil depth.
[0063] Step 206: Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results.
[0064] In one embodiment, a method for quality control of the spatial consistency of seasonal frozen soil may further include a process of obtaining frozen soil observation results. The specific process includes: comparing each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, taking the frozen soil depth values less than or equal to the maximum frozen soil depth as correct frozen soil depth values to obtain the correct result of frozen soil observation; comparing each frozen soil depth value in the seasonal frozen soil observation data with the suspicious frozen soil depth, taking the frozen soil depth values greater than the maximum frozen soil depth and less than the suspicious frozen soil depth as suspicious frozen soil depth values to obtain the suspicious result of frozen soil observation; comparing each frozen soil depth value in the seasonal frozen soil observation data with the incorrect frozen soil depth, taking the frozen soil depth values greater than the incorrect frozen soil depth as incorrect frozen soil depth values to obtain the incorrect result of frozen soil observation.
[0065] Specifically, the computer device can compare and judge each frozen soil depth value according to the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth, so as to determine whether there are abnormalities or errors in the frozen soil depth values.
[0066] When the observed frozen soil value T is less than or equal to the maximum frozen soil depth, it indicates that the observed frozen soil value T is a correct frozen soil depth value, and the computer device can obtain the correct result of frozen soil observation; when the observed frozen soil value T is greater than the maximum frozen soil depth and less than the maximum frozen soil depth + 10 cm, considering possible special climate reasons, the observed frozen soil value T is determined as a suspicious frozen soil depth value, and the computer device can obtain the suspicious result of frozen soil observation; when the observed frozen soil value T is greater than the maximum frozen soil depth + 10 cm, the observed frozen soil value T is determined as an incorrect frozen soil depth value, and the computer device can obtain the incorrect result of frozen soil observation.
[0067] Step 208, determine whether manual quality control is required according to the comparison result. If so, obtain the manual quality control result data, mark each frozen soil depth value according to the manual quality control result data, and update the suspicious frozen soil depth and the incorrect frozen soil depth to complete the quality control.
[0068] In one embodiment, a method for quality control of the spatial consistency of seasonal frozen soil may further include a process of judging whether manual quality control is required. The specific process includes: judging the type of the comparison result; if the comparison result is the correct result of frozen soil observation, then manual quality control is not required; if the comparison result is the suspicious result of frozen soil observation or the incorrect result of frozen soil observation, then manual quality control is required.
[0069] When the obtained result is the suspicious result of frozen soil observation or the incorrect result of frozen soil observation, it indicates that there may be external factors such as special climate, and it is necessary to manually confirm whether there are really problems with the frozen soil observation data.
[0070] Specifically, in one embodiment, if the comparison result is a suspicious result of frozen soil observation, obtain the first manual quality control correct result or the first manual quality control incorrect result; if the comparison result is an incorrect result of frozen soil observation, obtain the second manual quality control correct result or the second manual quality control incorrect result.
[0071] In one embodiment, if the first manual quality control correct result is obtained, update the maximum frozen soil depth to the current frozen soil depth value, and update the current suspicious frozen soil depth and incorrect frozen soil depth; if the first manual quality control incorrect result is obtained, mark the corresponding frozen soil depth value as missing; if the second manual quality control correct result is obtained, modify the corresponding frozen soil depth value; if the second manual quality control incorrect result is obtained, mark the corresponding frozen soil depth value as missing.
[0072] That is, when the computer device obtains a suspicious result of frozen soil observation, and when it is determined through manual quality control that the suspicious frozen soil depth value is correct, the computer device can update the maximum frozen soil depth H of the current month i and the suspicious frozen soil depth and incorrect frozen soil depth related to the maximum frozen soil depth; when it is determined through manual quality control that the suspicious frozen soil depth value is incorrect, the computer device can discard the data and directly mark it as missing.
[0073] When the computer device obtains an incorrect result of frozen soil observation, and when it is determined through manual quality control that the incorrect frozen soil depth value is correct, retain the corresponding frozen soil observation data and do not update the maximum frozen soil depth H of the current month i and the suspicious frozen soil depth and incorrect frozen soil depth; when the incorrect frozen soil depth value is incorrect, the computer device can directly discard it and mark it as missing.
[0074] In one embodiment, a method for quality control of the spatial consistency of seasonal frozen soil is provided, as Figure 3 shown, and the specific process includes:
[0075] Each meteorological station collects all automatic seasonal frozen soil observation data and parameter information every minute through the ISOS software and saves it as BUFF format data;
[0076] Then, the meteorological stations can be classified according to the month and the altitude and latitude of the meteorological stations, and the maximum frozen soil depth H of each month can be screened out i ;
[0077] Judge the type of the frozen soil depth value T corresponding to each automatic seasonal frozen soil observation data according to the maximum frozen soil depth of each month, whether it is correct, suspicious or incorrect;
[0078] If it is suspicious, manual quality control is performed. When the manual quality control result is correct, update the maximum frost depth this month to the current value T, and calculate or estimate the replacement of incorrect or suspicious data through certain statistical methods, and update the suspicious and error judgment extreme points T + 10; when the manual quality control result is incorrect, the maximum frost depth, suspicious, and error thresholds remain unchanged, mark the error, discard the data and consider it missing data.
[0079] If it is incorrect, manual quality control is performed. When the manual quality control result is correct, the maximum frost depth, suspicious, and error thresholds remain unchanged, and it is used to replace the original incorrect or suspicious data after review; when the manual quality control result is incorrect, mark the error, discard the data and consider it missing data.
[0080] It should be understood that although the steps in the above flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the above flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.
[0081] In one embodiment, as Figure 4 shown, a seasonal frozen soil spatial consistency quality control system is provided, including: a data acquisition module 410, a data screening module 420, a numerical judgment module 430, and a manual quality control module 440, where:
[0082] The data acquisition module 410 is used to determine the location information of each meteorological station and collect seasonal frozen soil observation data through each meteorological station;
[0083] The data screening module 420 is used to screen the seasonal frozen soil observation data based on the location information to obtain the maximum frost depth for each month, and determine the suspicious frost depth and error frost depth based on the maximum frost depth;
[0084] The numerical judgment module 430 is used to compare each frost depth value in the seasonal frozen soil observation data with the maximum frost depth, suspicious frost depth, and error frost depth respectively to obtain a comparison result;
[0085] The manual quality control module 440 is used to determine whether manual quality control is required according to the comparison result. If so, obtain the manual quality control result data, mark each frost depth value according to the manual quality control result data, and update the suspicious frost depth and error frost depth to complete the quality control.
[0086] In one embodiment, the data screening module 420 is further configured to: extract latitude data and altitude data from the location information; screen out each target meteorological station from each meteorological station based on the latitude data and altitude data; search for the target seasonal frozen soil observation data corresponding to each target meteorological station, and screen out the maximum frozen soil depth of each month from the target seasonal frozen soil observation data.
[0087] In one embodiment, the data screening module 420 is further configured to: determine the threshold range of the frozen soil depth; determine the frozen soil depth with the maximum frozen soil depth within the threshold range of the frozen soil depth as the suspicious frozen soil depth; determine the frozen soil depth with the maximum frozen soil depth not within the threshold range of the frozen soil depth as the incorrect frozen soil depth.
[0088] In one embodiment, the numerical judgment module 430 is further configured to compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, use the frozen soil depth value less than or equal to the maximum frozen soil depth as the correct frozen soil depth value to obtain the result of correct frozen soil observation; compare each frozen soil depth value in the seasonal frozen soil observation data with the suspicious frozen soil depth, use the frozen soil depth value greater than the maximum frozen soil depth and less than the suspicious frozen soil depth as the suspicious frozen soil depth value to obtain the result of suspicious frozen soil observation; compare each frozen soil depth value in the seasonal frozen soil observation data with the incorrect frozen soil depth, and use the frozen soil depth value greater than the incorrect frozen soil depth as the incorrect frozen soil depth value to obtain the result of incorrect frozen soil observation.
[0089] In one embodiment, the manual quality control module 440 is further configured to judge the type of the comparison result; if the comparison result is the result of correct frozen soil observation, no manual quality control is required; if the comparison result is the result of suspicious frozen soil observation or incorrect frozen soil observation, manual quality control is required.
[0090] In one embodiment, the manual quality control module 440 is further configured to, if the comparison result is the result of suspicious frozen soil observation, obtain the first manual quality control correct result or obtain the first manual quality control incorrect result; if the comparison result is the result of incorrect frozen soil observation, obtain the second manual quality control correct result or obtain the second manual quality control incorrect result.
[0091] In one embodiment, the manual quality control module 440 is further configured to, if the obtained result is the first manual quality control correct result, update the maximum frozen soil depth to the current frozen soil depth value, and update the current suspicious frozen soil depth and incorrect frozen soil depth; if the obtained result is the first manual quality control incorrect result, mark the corresponding frozen soil depth value as missing measurement; if the obtained result is the second manual quality control correct result, modify the corresponding frozen soil depth value; if the obtained result is the second manual quality control incorrect result, mark the corresponding frozen soil depth value as missing measurement.
[0092] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structural diagram may be as shown in Figure 5 . The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for quality control of the spatial consistency of seasonal frozen soil. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, may be a button, a trackball, or a touchpad provided on the housing of the computer device, or may be an external keyboard, a touchpad, or a mouse, etc.
[0093] Those skilled in the art can understand that Figure 5 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0094] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps of the method for quality control of the spatial consistency of seasonal frozen soil are implemented.
[0095] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for quality control of the spatial consistency of seasonal frozen soil are implemented.
[0096] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.
[0097] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.
[0098] The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.
Claims
1. A method for quality control of the spatial consistency of seasonal frozen soil, characterized in that The method includes: Determine the location information of each meteorological station, and collect seasonal frozen soil observation data through each of the meteorological stations; Based on the location information, screen the seasonal frozen soil observation data to obtain the maximum frozen soil depth for each month, and determine the suspicious frozen soil depth and the incorrect frozen soil depth based on the maximum frozen soil depth; Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results; Determine whether manual quality control is required according to the comparison results. If so, obtain the manual quality control result data, mark each of the frozen soil depth values according to the manual quality control result data, and update the suspicious frozen soil depth and the incorrect frozen soil depth to complete the quality control.
2. The method for quality control of the spatial consistency of seasonal frozen soil according to claim 1, wherein Based on the location information, screen the seasonal frozen soil observation data to obtain the maximum frozen soil depth for each month, including: Extract the latitude data and altitude data from the location information; Based on the latitude data and altitude data, screen out each target meteorological station from each of the meteorological stations; Search for the target seasonal frozen soil observation data corresponding to each of the target meteorological stations, and screen out the maximum frozen soil depth for each month from the target seasonal frozen soil observation data.
3. The seasonal frozen soil spatial consistency quality control method according to claim 1, wherein Based on the maximum frozen soil depth, determine the suspicious frozen soil depth and the incorrect frozen soil depth, including: Determine the threshold range of the frozen soil depth; Determine the frozen soil depth within the threshold range of the frozen soil depth as the suspicious frozen soil depth; Determine the frozen soil depth not within the threshold range of the frozen soil depth as the incorrect frozen soil depth.
4. The method for controlling the spatial consistency quality of seasonal frozen soil according to claim 3, wherein Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, the suspicious frozen soil depth, and the incorrect frozen soil depth respectively to obtain comparison results, including: Compare each frozen soil depth value in the seasonal frozen soil observation data with the maximum frozen soil depth, and use the frozen soil depth value less than or equal to the maximum frozen soil depth as the correct frozen soil depth value to obtain the result of correct frozen soil observation; Compare each frozen soil depth value in the seasonal frozen soil observation data with the suspicious frozen soil depth, and use the frozen soil depth value greater than the maximum frozen soil depth and less than the suspicious frozen soil depth as the suspicious frozen soil depth value to obtain the result of suspicious frozen soil observation; Compare each frozen soil depth value in the seasonal frozen soil observation data with the incorrect frozen soil depth, and use the frozen soil depth value greater than the incorrect frozen soil depth as the incorrect frozen soil depth value to obtain the result of incorrect frozen soil observation.
5. The seasonal frozen soil spatial consistency quality control method according to claim 4, characterized in that Determine whether manual quality control is required according to the comparison results, including: Judge the type of the comparison results; If the comparison result is the result of correct frozen soil observation, no manual quality control is required; If the comparison result is the result of suspicious frozen soil observation or the result of incorrect frozen soil observation, manual quality control is required.
6. The method for controlling the spatial consistency quality of seasonal frozen soil according to claim 5, wherein The method further includes: If the comparison result is the result of suspicious frozen soil observation, obtain the first correct result of manual quality control or obtain the first incorrect result of manual quality control; If the comparison result is the result of permafrost observation error, obtain the second artificial quality control correct result or the second artificial quality control error result.
7. The seasonal frozen soil spatial consistency quality control method according to claim 1, characterized in that Obtain the artificial quality control result data and mark each of the permafrost depth values according to the artificial quality control result data, including: If the first artificial quality control correct result is obtained, update the maximum permafrost depth to the current permafrost depth value, and update the current permafrost suspicious depth and permafrost error depth; If the first artificial quality control error result is obtained, mark the corresponding permafrost depth value as missing measurement; If the second artificial quality control correct result is obtained, modify the corresponding permafrost depth value; If the second artificial quality control error result is obtained, mark the corresponding permafrost depth value as missing measurement.
8. A spatial consistency quality control system for seasonal frozen soil, characterized in that, The system includes: A data acquisition module, configured to determine the location information of each meteorological station and collect seasonal permafrost observation data through each of the meteorological stations; A data screening module, configured to screen the seasonal permafrost observation data based on the location information to obtain the maximum permafrost depth for each month, and determine the permafrost suspicious depth and permafrost error depth based on the maximum permafrost depth; A numerical judgment module, configured to compare each permafrost depth value in the seasonal permafrost observation data with the maximum permafrost depth, permafrost suspicious depth, and permafrost error depth respectively to obtain a comparison result; An artificial quality control module, configured to determine whether artificial quality control is required according to the comparison result. If so, obtain the artificial quality control result data, mark each of the permafrost depth values according to the artificial quality control result data, and update the permafrost suspicious depth and permafrost error depth to complete quality control.
9. The seasonal frozen soil spatial consistency quality control system according to claim 8, wherein The data screening module is further configured to: extract latitude data and altitude data from the location information; screen out each target meteorological station from each of the meteorological stations based on the latitude data and altitude data; Search for the target seasonal permafrost observation data corresponding to each of the target meteorological stations, and screen out the maximum permafrost depth for each month from the target seasonal permafrost observation data.
10. The seasonal frozen soil spatial consistency quality control system according to claim 8, characterized in that The data screening module is further configured to: determine the permafrost depth threshold range; determine the permafrost depth within the permafrost depth threshold range of the maximum permafrost depth as the permafrost suspicious depth; determine the permafrost depth not within the permafrost depth threshold range of the maximum permafrost depth as the permafrost error depth.