Dam deformation monitoring-oriented data correction method and device

Abstract

The embodiment of the invention provides a data correction method and device for dam deformation monitoring, and the method comprises the steps: determining environment data of at least two control points and an observation station, and determining at least two meteorological correction coefficients based on the environment data; determining refraction data of the control point and the observation station, and determining at least two atmospheric refraction coefficients based on the refraction data; performing interpolation calculation based on the at least two meteorological correction coefficients and the at least two atmospheric refraction coefficients, and determining a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; and performing deformation monitoring on the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set, and determining a dam deformation result. According to known information such as air pressure, drying temperature, relative humidity, earth curvature radius and prism height of an observation station and a control point, a baseline calibration-meteorological fusion correction coefficient and an atmospheric refraction coefficient are calculated, two coefficient values of a monitoring station are calculated by using an interpolation method, and the accuracy of dam deformation monitoring can be improved.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of dam monitoring, and in particular to a data correction method for dam deformation monitoring. Background Art

[0002] Hydropower projects are an indispensable foundation for national economic and social development, because they involve intelligent management, control and linkage response of safety risks, which is a strategic need for the development of the national information industry and smart energy. Deformation monitoring is an important support for scientifically assessing the real-time safety risks of dam and reservoir slopes.

[0003] However, traditional deformation monitoring has problems such as low efficiency, high operational risk, slow feedback, and poor data regularity. These problems greatly reduce the real-time and reliability of deformation monitoring data, and restrict the real-time intelligent control of engineering safety risks. How to intelligently obtain highly reliable real-time data in complex environments (such as adverse weather, high-risk slopes, field risks, etc.) has always been a problem that plagues the industry. Therefore, a better solution is urgently needed. Summary of the invention

[0004] In view of this, the embodiments of this specification provide a data correction method for dam deformation monitoring. One or more embodiments of this specification also relate to a data correction device for dam deformation monitoring, a computing device, a computer-readable storage medium and a computer program to solve the technical defects existing in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a data correction method for dam deformation monitoring is provided, comprising: Determine environmental data of control points and measuring stations, and determine at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; determining refraction data of the control points and the measuring station, and determining at least two atmospheric refraction coefficients based on the refraction data; Performing interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient dataset and an atmospheric refraction coefficient dataset; The deformation of the dam is monitored based on the meteorological correction coefficient dataset and the atmospheric refraction coefficient dataset to determine the deformation results of the dam.

[0006] In a possible implementation, determining environmental data of control points and measuring stations includes: Determine known slope distance, measured slope distance, air pressure, drying temperature, relative humidity, atmospheric expansion coefficient and humidity index of control points; Environmental data is determined based on known slant distance, measured slant distance, air pressure, drying temperature and relative humidity.

[0007] In a possible implementation, determining the known slope distance and the measured slope distance of the control point includes: Get the initial coordinates of the control point; Determine the current coordinates of the measuring station; Determine the control point measurement coordinates of the control points; Determine the known slope distance based on the historical coordinates of the control point and the current coordinates of the station; Determine the measured slope distance based on the control point measured coordinates and the current coordinates of the station.

[0008] In a possible implementation, at least two meteorological correction coefficients are determined based on environmental data, including: determine addition coefficients, multiplication coefficients, and measure distances; Determine the tilt distance based on air pressure, drying temperature, relative humidity, atmospheric expansion coefficient, humidity index, additive factor, multiplicative factor and measurement distance; At least two meteorological correction factors are determined based on the slant distance, the known slant distance, and the measured slant distance.

[0009] In a possible implementation, determining the refraction data of the control points and the measuring stations includes: Determine the elevation difference, horizontal distance, vertical angle, radius of earth curvature, prism height and instrument height between the control point and the survey station; Refraction data is determined based on elevation difference, horizontal distance, vertical angle, radius of curvature of the earth, prism height, and instrument height.

[0010] In a possible implementation, at least two meteorological correction coefficients are determined based on the slant distance, the known slant distance, and the measured slant distance, including:

[0011] in, Indicates the tilt distance of the measuring robot caused by meteorological conditions, Represents control points The known slope distance from the station, Represents control points The measured slope distance from the measuring station, Represents control points Baseline calibration-meteorological fusion correction factor.

[0012] In a possible implementation, determining at least two atmospheric refraction coefficients based on the refraction data includes:

[0013] Among them, the control point The elevation difference between the station and , control point The horizontal distance from the measuring station is ; The vertical angle is ; The radius of curvature of the earth is R ; Control point The height of the prism at ; The instrument height at the station is H 0 Represents the atmospheric refraction coefficient.

[0014] According to a second aspect of the embodiments of this specification, a data correction device for dam deformation monitoring is provided, comprising: A meteorological correction module is configured to determine environmental data of a control point and a measuring station, and determine at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; An atmospheric refraction module is configured to determine refraction data of a control point and a station, and determine at least two atmospheric refraction coefficients based on the refraction data; An interpolation calculation module is configured to perform interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; The deformation monitoring module is configured to monitor the deformation of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the deformation result of the dam.

[0015] According to a third aspect of an embodiment of this specification, a computing device is provided, including: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the data correction method for dam deformation monitoring are implemented.

[0016] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned data correction method for dam deformation monitoring are implemented.

[0017] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned data correction method for dam deformation monitoring.

[0018] The embodiments of this specification provide a data correction method and device for dam deformation monitoring, the method includes: determining the environmental data of the control point and the measuring station, determining at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; determining the refraction data of the control point and the measuring station, and determining at least two atmospheric refraction coefficients based on the refraction data; performing interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; performing deformation monitoring of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the dam deformation result. The baseline calibration-meteorological fusion correction coefficient and the atmospheric refraction coefficient are calculated through known information such as air pressure, drying temperature, relative humidity, earth curvature radius and prism height of the measuring station and the control point, and the two coefficient values ​​of the monitoring station are calculated using the interpolation method, which can improve the accuracy of dam deformation monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a data correction method for dam deformation monitoring provided by an embodiment of this specification; Figure 2 It is a scene schematic diagram of a data correction method for dam deformation monitoring provided by an embodiment of this specification; Figure 3 It is a task scenario diagram of a data correction method for dam deformation monitoring provided by an embodiment of this specification; Figure 4 It is a schematic diagram of relative errors before and after correction of a data correction method for dam deformation monitoring provided by an embodiment of this specification; Figure 5 It is a structural schematic diagram of a data correction device for dam deformation monitoring provided by an embodiment of this specification; Figure 6 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0020] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0021] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0022] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0023] In this specification, a data correction method for dam deformation monitoring is provided. This specification also relates to a data correction device for dam deformation monitoring, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0024] See also Figure 1 , Figure 1 A flow chart of a data correction method for dam deformation monitoring provided according to an embodiment of the present specification is shown, which specifically includes the following steps.

[0025] Step 101: Determine environmental data of control points and measuring stations, and determine at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points.

[0026] In a possible implementation, determining environmental data of the control point and the measuring station includes: determining a known slant distance, a measured slant distance, an air pressure, a drying temperature, a relative humidity, an atmospheric expansion coefficient, and a humidity index of the control point; and determining environmental data based on the known slant distance, the measured slant distance, the air pressure, the drying temperature, and the relative humidity.

[0027] In practical applications, see Figure 2 , Figure 2 The schematic diagram of the dam scene and the measuring station can be used to calculate the baseline calibration-meteorological fusion correction coefficient of the control point using the known slope distance between the measuring station and the control point, the measured slope distance, and the data such as air pressure, drying temperature and relative humidity.

[0028] In a possible implementation, determining the known slope distance and the measured slope distance of the control point includes: obtaining the control point initial coordinates of the control point; determining the current coordinates of the survey station; determining the control point measured coordinates of the control point; determining the known slope distance based on the control point historical coordinates and the current coordinates of the survey station; and determining the measured slope distance based on the control point measured coordinates and the current coordinates of the survey station.

[0029] In practical applications, see Figure 3 ,all n The set of control points is denoted as In this example, , the control point is Figure 3 The square in the middle indicates the control point number; the station is recorded as In this example, the station is Figure 3 The triangle in represents the control point The three-dimensional coordinates of In this example, Figure 3 The position of the square in the middle indicates the position of the corresponding control point; the three-dimensional coordinates of the station are In this example, Figure 3 The position of the triangle in the middle indicates the position of the station; the control point The actual measured coordinates are .

[0030] Further, calculate the known slope distance: (1) In formula (1), Represents control points Known slope distance to the measuring station; (2.7) Calculate the measured slope distance: (2) In formula (2), Represents control points The measured slope distance from the measuring station.

[0031] In one possible implementation, at least two meteorological correction coefficients are determined based on environmental data, including: determining an addition coefficient, a multiplication coefficient and a measured distance; determining a slant distance based on air pressure, drying temperature, relative humidity, atmospheric expansion coefficient, humidity index, addition coefficient, multiplication coefficient and measured distance; determining at least two meteorological correction coefficients based on the slant distance, a known slant distance and a measured slant distance.

[0032] Among them, meteorological values ​​such as air pressure, drying temperature and relative humidity are measured by the meteorological sensors provided by the measuring station.

[0033] In practical applications, at least two meteorological correction factors are determined based on the slant distance, the known slant distance and the measured slant distance, including:

[0034] in, Indicates the tilt distance of the measuring robot caused by meteorological conditions. The measuring robot is a robot used by the measuring station to measure dam data. Represents control points The known slope distance from the station, Represents control points The measured slope distance from the measuring station, Represents control points Baseline calibration-meteorological fusion correction factor.

[0035] Specifically, calculate the tilt distance of the measuring robot caused by meteorological conditions: (3) In formula (3), represents the tilt distance of the measuring robot caused by meteorological conditions. represents the correction value of additive and multiplicative constants, Indicates the meteorological correction value, represents the additive coefficient, represents the multiplication coefficient, Indicates the measured distance, Indicates air pressure, Indicates the drying temperature, Relative humidity, represents the atmospheric expansion coefficient, Indicates humidity index; (2.9) Calculate the baseline calibration-meteorological fusion correction coefficient: (4) In formula (4), Represents control points Baseline calibration-meteorological fusion correction factor.

[0036] For example, , , , , , , .

[0037] Step 102: Determine refraction data of control points and measuring stations, and determine at least two atmospheric refraction coefficients based on the refraction data.

[0038] In a possible implementation, determining the refraction data of the control point and the survey station includes: determining the elevation difference, horizontal distance, vertical angle, earth curvature radius, prism height and instrument height between the control point and the survey station; and determining the refraction data based on the elevation difference, horizontal distance, vertical angle, earth curvature radius, prism height and instrument height.

[0039] In practical applications, the atmospheric refraction coefficient of the control point can be calculated using data such as the earth's curvature radius and prism height.

[0040] In a possible implementation, determining at least two atmospheric refraction coefficients based on the refraction data includes:

[0041] Among them, the control point The elevation difference between the station and , control point The horizontal distance from the measuring station is ; The vertical angle is ; The radius of curvature of the earth is R ; Control point The prism height at ; The instrument height at the station is H 0 Represents the atmospheric refraction coefficient.

[0042] In practical applications, it is necessary to obtain control points The elevation difference between the station and ; Control point The horizontal distance from the measuring station is ; The vertical angle is ; The radius of curvature of the earth is R ; Control point The prism height at ; The instrument height at the station is H 0; Then calculate the atmospheric refraction coefficient: (5) In formula (5), Represents the atmospheric refraction coefficient.

[0043] Above .

[0044] Step 103: Perform interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient dataset and an atmospheric refraction coefficient dataset.

[0045] In practical applications, the baseline calibration-meteorological fusion correction coefficient and atmospheric refraction coefficient of the monitoring station with the same elevation as the control point are interpolated.

[0046] Specifically, the three-dimensional coordinates of the monitoring station are ; Define the baseline calibration-meteorological fusion correction factor of a monitoring station as a function of its coordinates ; According to the value of the baseline calibration-meteorological fusion correction coefficient of the control point, Interpolation is performed; the atmospheric refraction coefficient of the monitoring station is defined as a function of its coordinates ; According to the value of the atmospheric refraction coefficient of the control point, Interpolation is performed; according to the above method, two coefficient values ​​of the monitoring station are obtained.

[0047] For example, the three-dimensional coordinates of the monitoring station are ; Define the baseline calibration-meteorological fusion correction factor of a monitoring station as a function of its coordinates ; Use trilinear interpolation, the steps are: 1) take the 8 nearest control points surrounding the monitoring station to be interpolated; 2) interpolate the baseline calibration-meteorological fusion correction coefficients of the 8 nearest control points along the z-axis direction to obtain 4 values; 3) interpolate the above 4 values ​​along the y-axis direction to obtain 2 values; 4) interpolate the above 2 values ​​along the x-axis direction to obtain the baseline calibration-meteorological fusion correction coefficient of the monitoring station to be interpolated.

[0048] Furthermore, the atmospheric refraction coefficient of a monitoring station is defined as a function of its coordinates ; According to the value of the atmospheric refraction coefficient of the control point, In this example, trilinear interpolation is used, and its steps refer to the above interpolation method; according to the above method, two coefficient values ​​of the monitoring station are obtained. Figure 4 , Figure 4 The relative errors between the monitoring data and the manual monitoring data of three monitoring stations before and after correction are shown.

[0049] It should be noted that the interpolation of the monitoring station After that, the corrected slant distance of the interpolated monitoring station can be obtained by reversely solving equation (4): ,Right now:

[0050] In the formula, and Respectively represent the slope distance before and after correction, See formula (3).

[0051] Correspondingly, the interpolation is used to obtain the monitoring station After that, the corrected elevation difference of the monitoring station can be obtained by reversely solving equation (5): h ,Right now:

[0052] In the formula, and They represent the elevation difference before and after correction respectively. The meanings of other variables are shown in formula (5).

[0053] The slant distance data of the control points and the interpolated monitoring stations are used to form a meteorological correction coefficient data set, and the elevation difference data of the control points and the interpolated monitoring stations are used to form an atmospheric refraction coefficient data set, which are used for subsequent deformation monitoring of the dam and determination of the dam deformation results.

[0054] Step 104: monitor the deformation of the dam based on the meteorological correction coefficient dataset and the atmospheric refraction coefficient dataset to determine the deformation result of the dam.

[0055] In practical applications, after the corrected monitoring data is determined, the corrected data can be input into the dam deformation monitoring system to obtain the results.

[0056] The embodiments of this specification provide a data correction method and device for dam deformation monitoring, the method includes: determining the environmental data of the control point and the measuring station, determining at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; determining the refraction data of the control point and the measuring station, and determining at least two atmospheric refraction coefficients based on the refraction data; performing interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; performing deformation monitoring of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the dam deformation result. The baseline calibration-meteorological fusion correction coefficient and the atmospheric refraction coefficient are calculated through known information such as air pressure, drying temperature, relative humidity, earth curvature radius and prism height of the measuring station and the control point, and the two coefficient values ​​of the monitoring station are calculated using the interpolation method, which can improve the accuracy of dam deformation monitoring.

[0057] Corresponding to the above method embodiment, this specification also provides an embodiment of a data correction device for dam deformation monitoring, Figure 5 FIG. 1 is a schematic diagram showing a data correction device for dam deformation monitoring provided by an embodiment of the present specification. Figure 5 As shown, the device comprises: A meteorological correction module 501 is configured to determine environmental data of a control point and a measuring station, and determine at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; An atmospheric refraction module 502 is configured to determine refraction data of a control point and a station, and determine at least two atmospheric refraction coefficients based on the refraction data; The interpolation calculation module 503 is configured to perform interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients to determine a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; The deformation monitoring module 504 is configured to monitor the deformation of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the deformation result of the dam.

[0058] In a possible implementation, determining environmental data of control points and measuring stations includes: Determine known slope distance, measured slope distance, air pressure, drying temperature, relative humidity, atmospheric expansion coefficient and humidity index of control points; Environmental data is determined based on known slant distance, measured slant distance, air pressure, drying temperature and relative humidity.

[0059] In a possible implementation, determining the known slope distance and the measured slope distance of the control point includes: Get the initial coordinates of the control point; Determine the current coordinates of the measuring station; Determine the control point measurement coordinates of the control points; Determine the known slope distance based on the historical coordinates of the control point and the current coordinates of the station; Determine the measured slope distance based on the control point measured coordinates and the current coordinates of the station.

[0060] In a possible implementation, at least two meteorological correction coefficients are determined based on environmental data, including: determine addition coefficients, multiplication coefficients, and measure distances; Determine the tilt distance based on air pressure, drying temperature, relative humidity, atmospheric expansion coefficient, humidity index, additive factor, multiplicative factor and measurement distance; At least two meteorological correction factors are determined based on the slant distance, the known slant distance, and the measured slant distance.

[0061] In a possible implementation, determining the refraction data of the control points and the measuring stations includes: Determine the elevation difference, horizontal distance, vertical angle, radius of earth curvature, prism height and instrument height between the control point and the survey station; Refraction data is determined based on elevation difference, horizontal distance, vertical angle, radius of curvature of the earth, prism height, and instrument height.

[0062] In a possible implementation, at least two meteorological correction coefficients are determined based on the slant distance, the known slant distance, and the measured slant distance, including:

[0063] in, Indicates the tilt distance of the measuring robot caused by meteorological conditions, Represents control points The known slope distance from the station, Represents control points The measured slope distance from the measuring station, Represents control points Baseline calibration-meteorological fusion correction factor.

[0064] In a possible implementation, determining at least two atmospheric refraction coefficients based on the refraction data includes:

[0065] Among them, the control point The elevation difference between the station and , control point The horizontal distance from the measuring station is ; The vertical angle is ; The radius of curvature of the earth is R ; Control point The height of the prism at ; The instrument height at the station is H 0 Represents the atmospheric refraction coefficient.

[0066] The embodiments of this specification provide a data correction method and device for dam deformation monitoring, the device includes: determining the environmental data of the control point and the measuring station, determining at least two meteorological correction coefficients based on the environmental data, wherein there are at least two control points; determining the refraction data of the control point and the measuring station, determining at least two atmospheric refraction coefficients based on the refraction data; performing interpolation calculation based on at least two meteorological correction coefficients and at least two atmospheric refraction coefficients, determining a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; performing deformation monitoring of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set, and determining the dam deformation result. The baseline calibration-meteorological fusion correction coefficient and the atmospheric refraction coefficient are calculated through known information such as air pressure, drying temperature, relative humidity, earth curvature radius and prism height of the measuring station and the control point, and the two coefficient values ​​of the monitoring station are calculated using the interpolation method, which can improve the accuracy of dam deformation monitoring.

[0067] The above is a schematic scheme of a data correction device for dam deformation monitoring of this embodiment. It should be noted that the technical scheme of the data correction device for dam deformation monitoring and the technical scheme of the data correction method for dam deformation monitoring described above belong to the same concept, and the details not described in detail in the technical scheme of the data correction device for dam deformation monitoring can be found in the description of the technical scheme of the data correction method for dam deformation monitoring described above.

[0068] Figure 6The block diagram of a computing device 600 according to an embodiment of the present specification is shown. The components of the computing device 600 include but are not limited to a memory 610 and a processor 620. The processor 620 is connected to the memory 610 via a bus 630, and the database 650 is used to store data.

[0069] The computing device 600 also includes an access device 640 that enables the computing device 600 to communicate via one or more networks 660. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 640 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0070] In one embodiment of the present specification, the above components of the computing device 600 and Figure 6 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 6 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0071] The computing device 600 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 600 may also be a mobile or stationary server.

[0072] Among them, the processor 620 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the above-mentioned data correction method for dam deformation monitoring. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned data correction method for dam deformation monitoring belong to the same concept. For details not described in detail in the technical scheme of the computing device, please refer to the description of the technical scheme of the above-mentioned data correction method for dam deformation monitoring.

[0073] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned data correction method for dam deformation monitoring.

[0074] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the data correction method for dam deformation monitoring are of the same concept, and the details not described in detail in the technical scheme of the storage medium can be found in the description of the technical scheme of the data correction method for dam deformation monitoring.

[0075] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to execute the steps of the above-mentioned data correction method for dam deformation monitoring.

[0076] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the data correction method for dam deformation monitoring are of the same concept, and the details not described in detail in the technical scheme of the computer program can be found in the description of the technical scheme of the data correction method for dam deformation monitoring.

[0077] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0079] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some 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 preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0080] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that technicians in the relevant technical field can well understand and use this specification. This specification is only limited by the claims and their full scope and equivalents.

Claims

1. A data correction method for dam deformation monitoring, characterized in that: include: Determine environmental data of control points and measuring stations, and determine at least two meteorological correction coefficients based on the environmental data, wherein the number of control points is at least two; determining refraction data of the control point and the measuring station, and determining at least two atmospheric refraction coefficients based on the refraction data; Performing interpolation calculation based on the at least two meteorological correction coefficients and the at least two atmospheric refraction coefficients to determine a meteorological correction coefficient dataset and an atmospheric refraction coefficient dataset; The deformation of the dam is monitored based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the deformation result of the dam.

2. The method according to claim 1, characterized in that: The environmental data for determining the control points and measuring stations includes: Determine known slope distance, measured slope distance, air pressure, drying temperature, relative humidity, atmospheric expansion coefficient and humidity index of control points; Environmental data is determined based on the known slant distance, the measured slant distance, the air pressure, the drying temperature, and the relative humidity.

3. The method according to claim 2, characterized in that The method of determining the known slope distance and the measured slope distance of the control point includes: Obtaining initial coordinates of the control point of the control point; Determining the current coordinates of the measuring station; Determining control point measurement coordinates of the control point; Determine the known slope distance based on the historical coordinates of the control point and the current coordinates of the survey station; The measured slope distance is determined based on the control point measurement coordinates and the current coordinates of the survey station.

4. The method according to claim 2, characterized in that: The determining at least two meteorological correction coefficients based on the environmental data comprises: determine addition coefficients, multiplication coefficients, and measure distances; determining the tilt distance based on the air pressure, drying temperature, relative humidity, atmospheric expansion coefficient, humidity index, additive coefficient, multiplicative coefficient and measured distance; At least two meteorological correction factors are determined based on the slant distance, the known slant distance, and the measured slant distance.

5. The method according to claim 1, characterized in that The determining of the refraction data of the control point and the station comprises: Determine the elevation difference, horizontal distance, vertical angle, radius of earth curvature, prism height and instrument height between the control point and the survey station; Refraction data is determined based on the elevation difference, the horizontal distance, the vertical angle, the radius of curvature of the earth, the prism height, and the instrument height.

6. The method according to claim 4, characterized in that The determining of at least two meteorological correction coefficients based on the slant distance, the known slant distance and the measured slant distance comprises: in, Indicates the tilt distance of the measuring robot caused by meteorological conditions, Represents control points The known slope distance from the station, Represents control points The measured slope distance from the measuring station, Represents control points Baseline calibration-meteorological fusion correction factor.

7. The method according to claim 1, characterized in that The determining at least two atmospheric refraction coefficients based on the refraction data comprises: Among them, the control point The elevation difference between the station and , control point The horizontal distance from the measuring station is ; The vertical angle is ; The radius of curvature of the earth is R ; Control point The height of the prism at ; The instrument height at the station is H 0 Represents the atmospheric refraction coefficient.

8. A data correction device for dam deformation monitoring, characterized in that: include: A meteorological correction module is configured to determine environmental data of a control point and a measuring station, and determine at least two meteorological correction coefficients based on the environmental data, wherein the number of the control points is at least two; An atmospheric refraction module, configured to determine refraction data of the control point and the measuring station, and determine at least two atmospheric refraction coefficients based on the refraction data; An interpolation calculation module is configured to perform interpolation calculation based on the at least two meteorological correction coefficients and the at least two atmospheric refraction coefficients to determine a meteorological correction coefficient data set and an atmospheric refraction coefficient data set; The deformation monitoring module is configured to monitor the deformation of the dam based on the meteorological correction coefficient data set and the atmospheric refraction coefficient data set to determine the deformation result of the dam.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the data correction method for dam deformation monitoring described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the data correction method for dam deformation monitoring as described in any one of claims 1 to 7.

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