Method and system for improving measurement precision of laser measurement instrument

Abstract

The invention provides a method and a system for improving the measurement precision of a laser measurement instrument. The method comprises the following steps: acquiring measurement point temperature data, measurement point dust concentration data and a first measurement distance; calculating a corresponding first air refractive index based on the measuring point temperature data; calculating a corresponding temperature difference value based on the first measurement distance and the first measurement distance; calculating a temperature difference average value based on the first measurement distance, and obtaining a temperature measurement error based on the temperature difference average value and the first measurement distance; calculating a corresponding second air refractive index based on the dust concentration data of the measuring point; based on the first measurement distance and the first measurement distance, obtaining a dust measurement error; and obtaining a second measurement distance based on the temperature measurement error, the dust measurement error and the first measurement distance, so as to improve the measurement precision. According to the method for improving the measurement precision of the laser measurement instrument, measurement errors of the laser measurement instrument caused by air refractive index changes in a high-temperature dust environment are avoided, and correction of the measurement distance of the laser measurement instrument is achieved.

Description

Technical Field

[0001] This invention relates to the field of laser measurement technology, and in particular to a method and system for improving the measurement accuracy of laser measuring instruments. Background Technology

[0002] In smelting operations, thermal radiation and dust alter the air's refractive index, significantly impacting the accuracy of robot performance measurements using laser instruments. Existing solutions for improving laser measurement instrument accuracy involve optimizing the instrument's positioning based on the minimum positional accuracy attenuation factor method. The specific implementation logic is as follows: first, the main sources of measurement error are analyzed using the sequential multi-station measurement principle; then, the laser tracker's positioning is optimized using the minimum positional accuracy attenuation factor method, and an algorithm is provided to determine the optimal measurement accuracy for each station. After optimizing the positioning, measurement accuracy can be improved by more than 50%.

[0003] Under the current technological background, although the above-mentioned site optimization-based technology can improve the measurement accuracy of laser measuring instruments to a certain extent, it is only limited to improving from the perspective of site selection. It fails to address the changes in air refractive index caused by the high temperature and high dust environment at the smelting operation site. Therefore, it cannot fundamentally solve the problem of measurement error amplification caused by changes in air refractive index. Summary of the Invention

[0004] The present invention aims to provide a method and system for improving the measurement accuracy of laser measuring instruments, so as to solve the above-mentioned technical problems, avoid measurement errors caused by changes in air refractive index in high-temperature and dusty environments, and realize the correction of the measurement distance of laser measuring instruments.

[0005] To address the aforementioned technical problems, this invention provides a method for improving the measurement accuracy of laser measuring instruments, comprising: Acquire temperature data from several measuring points, dust concentration data from several measuring points, and the first measurement distance; Based on temperature data from several measuring points, calculate the first air refractive index corresponding to several measuring points; Based on the first air refractive index and the first measurement distance corresponding to several measurement points, calculate the temperature difference value corresponding to each measurement point; Based on the temperature difference value corresponding to each of the measuring points, the average temperature difference is calculated, and the temperature measurement error is obtained based on the average temperature difference and the first measuring distance. Based on dust concentration data from several measuring points, calculate the second air refractive index corresponding to several measuring points; Based on the second air refractive index and the first measurement distance corresponding to several of the measurement points, the dust measurement error is obtained; Based on temperature measurement error, dust measurement error, and the first measurement distance, a second measurement distance is obtained to improve measurement accuracy.

[0006] In the above scheme, by establishing the correlation between temperature and air refractive index, and combining the first air refractive index and the first measurement distance corresponding to each measuring point, the temperature difference relative to the location of the laser measuring instrument is obtained, providing key intermediate parameters for subsequent temperature error analysis. Next, the average temperature difference is calculated to eliminate the random influence of temperature difference at a single measuring point, thus objectively reflecting the interference of the overall temperature distribution on the measurement distance of the laser measuring instrument. Then, combining the average temperature difference and the first measurement distance, the temperature measurement error is derived, thus obtaining the measurement deviation caused by the change in air refractive index due to thermal radiation in a high-temperature environment, providing data support for subsequent temperature error correction. Subsequently, the second air refractive index corresponding to several measuring points is calculated using dust concentration data from several measuring points, establishing the correlation between dust concentration and air refractive index. This allows the dust measurement error to be obtained through the second air refractive index corresponding to several measuring points and the first measurement distance, quantifying the measurement deviation caused by the changing air refractive index in a dusty environment. Finally, by using the temperature measurement error, dust measurement error, and the first measurement distance, the second measurement distance is obtained, thereby correcting the measurement distance error of the laser measuring instrument in a high-temperature dust environment and improving the measurement accuracy of the laser measuring instrument in a high-temperature dust environment.

[0007] Furthermore, the step of calculating the first air refractive index corresponding to several measuring points based on temperature data from several measuring points includes: Based on temperature data from several measuring points and a preset temperature correction model, the first air refractive index corresponding to several measuring points is calculated.

[0008] In the above scheme, by combining the temperature data of several measuring points with the preset temperature correction model, the first air refractive index corresponding to several measuring points can be obtained, which lays the foundation for subsequent quantification of the temperature measurement distance error caused by temperature in the laser measuring instrument and for correcting the temperature error.

[0009] Furthermore, the calculation of the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points includes: For any given measuring point, the following steps are performed: Based on the dust concentration data corresponding to that measuring point, obtain the dust refractive index and dust density corresponding to that measuring point; Based on the dust concentration data, dust refractive index, and dust density corresponding to that measuring point, calculate the second air refractive index corresponding to that measuring point.

[0010] In the above scheme, based on the relevant laws of dust material properties and the dust concentration data corresponding to any measuring point, the dust refractive index and dust density corresponding to that measuring point are obtained, providing a basis for establishing the correlation between dust and air refractive index. Next, the dust concentration data, dust refractive index, and dust density corresponding to any measuring point are integrated to obtain the second air refractive index corresponding to that measuring point. This is used to quantify the dust measurement error caused by dust and then correct the first measurement distance based on the dust measurement error.

[0011] Further, the calculation of the second air refractive index corresponding to the measuring point based on the dust concentration data, the dust refractive index, and the dust density at the measuring point includes: Based on the dust concentration data, dust refractive index, dust density, and preset dust correction model corresponding to the measuring point, the second air refractive index corresponding to the measuring point is calculated.

[0012] In the above scheme, by combining the dust concentration data, dust refractive index, and dust density of the measuring point with the preset dust correction model, the second air refractive index corresponding to the measuring point can be obtained. This lays the foundation for subsequent quantification of dust measurement errors caused by dust in laser measuring instruments and for correcting these dust errors.

[0013] Further, the step of obtaining the dust measurement error based on the second air refractive index and the first measurement distance corresponding to several of the measurement points includes: Based on the second air refractive index corresponding to several of the measuring points and the first measuring distance, calculate the dust concentration difference corresponding to each measuring point; Based on the dust concentration difference corresponding to each measuring point, the average dust concentration difference is calculated, and the dust measurement error is obtained based on the average dust concentration difference and the first measuring distance.

[0014] In the above scheme, the second air refractive index and the first measurement distance corresponding to each measuring point are calculated to obtain the dust concentration difference of each measuring point relative to the location of the laser measuring instrument, providing key intermediate parameters for subsequent dust error analysis. Next, the average dust concentration difference is calculated to eliminate the random influence of dust concentration differences at individual measuring points, thus objectively reflecting the interference of the overall dust distribution on the measurement distance of the laser measuring instrument. Then, combining the average dust concentration difference and the first measurement distance, the dust measurement error is derived and obtained, thereby obtaining the measurement deviation caused by changes in air refractive index in a dusty environment, providing data support for subsequent dust error correction.

[0015] Furthermore, the step of obtaining a second measurement distance based on temperature measurement error, dust measurement error, and a first measurement distance to improve measurement accuracy includes: The total measurement error is obtained based on temperature measurement error and dust measurement error. Based on the total measurement error and the first measurement distance, a second measurement distance is obtained to improve measurement accuracy.

[0016] In the above scheme, the overall measurement deviation of the laser measuring instrument caused by the change in air refractive index in a high-temperature dust environment is quantified by obtaining the total measurement error. Then, by combining the total measurement error and the first measurement distance, the second measurement distance is obtained, thereby realizing the error correction of the measurement distance of the laser measuring instrument in a high-temperature dust environment and improving the measurement accuracy of the laser measuring instrument in such environments.

[0017] This invention provides a system for improving the measurement accuracy of laser measuring instruments, comprising a data acquisition module, a first air refractive index calculation module, a temperature error solving module, a second air refractive index calculation module, a dust error solving module, and an error correction module, specifically: The data acquisition module is used to acquire temperature data at several measuring points, dust concentration data at several measuring points, and a first measuring distance; The first air refractive index calculation module is used to calculate the first air refractive index corresponding to several measuring points based on temperature data from several measuring points. The temperature error solving module is used to calculate the temperature difference value corresponding to each measuring point based on the first air refractive index and the first measurement distance corresponding to several measuring points. The temperature error solving module is used to calculate the average temperature difference based on the temperature difference value corresponding to each measuring point, so as to obtain the temperature measurement error based on the average temperature difference and the first measurement distance. The second air refractive index calculation module is used to calculate the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points. The dust error solving module is used to obtain the dust measurement error based on the second air refractive index and the first measurement distance corresponding to several of the measurement points; The error correction module is used to obtain a second measurement distance based on the temperature measurement error, dust measurement error, and the first measurement distance, so as to improve the measurement accuracy.

[0018] This invention provides a system for improving the measurement accuracy of a laser measuring instrument. In practical applications, it only requires a first air refractive index calculation module to calculate the first air refractive index corresponding to several measuring points using temperature data, establishing a correlation between temperature and air refractive index. A temperature error solving module then calculates the first air refractive index and first measurement distance for each measuring point, obtaining the temperature difference of each measuring point relative to the location of the laser measuring instrument, providing crucial intermediate parameters for subsequent temperature error analysis. Next, a second air refractive index calculation module is used to calculate the second air refractive index corresponding to several measuring points using dust concentration data, establishing a correlation between dust concentration and air refractive index. A dust error solving module then uses the second air refractive index and first measurement distance corresponding to several measuring points to obtain the dust measurement error, thereby quantifying the measurement deviation caused by the changing air refractive index in a dusty environment and clarifying the degree of interference of dust factors on measurement accuracy. Finally, an error correction module is used to obtain the second measurement distance by taking the temperature measurement error, dust measurement error, and the first measurement distance. This realizes the error correction of the measurement distance of the laser measuring instrument in the high temperature and dust environment, and improves the measurement accuracy of the laser measuring instrument in the high temperature and dust environment.

[0019] Furthermore, the first air refractive index calculation module is used to calculate the first air refractive index corresponding to several measuring points based on temperature data from several measuring points, including: Based on temperature data from several measuring points and a preset temperature correction model, the first air refractive index corresponding to several measuring points is calculated.

[0020] In the above scheme, by combining the temperature data of several measuring points with the preset temperature correction model, the first air refractive index corresponding to several measuring points can be obtained, which lays the foundation for subsequent quantification of the temperature measurement distance error caused by temperature in the laser measuring instrument and for correcting the temperature error.

[0021] Furthermore, the second air refractive index calculation module is used to calculate the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points, including: For any given measuring point, the following steps are performed: Based on the dust concentration data corresponding to that measuring point, obtain the dust refractive index and dust density corresponding to that measuring point; Based on the dust concentration data, dust refractive index, and dust density corresponding to that measuring point, calculate the second air refractive index corresponding to that measuring point.

[0022] In the above scheme, based on the relevant laws of dust material properties and the dust concentration data corresponding to any measuring point, the dust refractive index and dust density corresponding to that measuring point are obtained, providing a basis for establishing the correlation between dust and air refractive index. Next, the dust concentration data, dust refractive index, and dust density corresponding to any measuring point are integrated to obtain the second air refractive index corresponding to that measuring point. This is used to quantify the dust measurement error caused by dust and then correct the first measurement distance based on the dust measurement error.

[0023] Further, the calculation of the second air refractive index corresponding to the measuring point based on the dust concentration data, the dust refractive index, and the dust density at the measuring point includes: Based on the dust concentration data, dust refractive index, dust density, and preset dust correction model corresponding to the measuring point, the second air refractive index corresponding to the measuring point is calculated.

[0024] In the above scheme, by combining the dust concentration data, dust refractive index, and dust density of the measuring point with the preset dust correction model, the second air refractive index corresponding to the measuring point can be obtained. This lays the foundation for subsequent quantification of dust measurement errors caused by dust in laser measuring instruments and for correcting these dust errors. Attached Figure Description

[0025] Figure 1 A flowchart illustrating a method for improving the measurement accuracy of a laser measuring instrument, as provided in an embodiment of the present invention; Figure 2 A schematic diagram illustrating the process of improving the measurement accuracy of a laser measuring instrument in a high-temperature dust environment, according to an embodiment of the present invention; Figure 3 This is an architectural diagram of a laser measuring instrument accuracy improvement system provided in an embodiment of the present invention; in: 1. Laser tracker; 2. Sample to be measured; 3. Temperature and dust collector; 3A. Temperature collector; 3B. Dust concentration collector; 4. Temperature error correction device; 5. Dust error correction device; 6. Laser tracker operating equipment. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] This embodiment provides a method for improving the measurement accuracy of laser measuring instruments; please refer to the flowchart for details. Figure 1 ,include: Step S1: Acquire temperature data at several measuring points, dust concentration data at several measuring points, and the first measurement distance; Step S2: Based on the temperature data from several measuring points, calculate the first air refractive index corresponding to several measuring points; Step S3: Based on the first air refractive index and the first measurement distance corresponding to several measurement points, calculate the temperature difference value corresponding to each measurement point; Step S4: Calculate the average temperature difference based on the temperature difference value corresponding to each measuring point, and obtain the temperature measurement error based on the average temperature difference and the first measurement distance; Step S5: Based on the dust concentration data at several measuring points, calculate the second air refractive index corresponding to several measuring points; Step S6: Based on the second air refractive index and the first measurement distance corresponding to several measurement points, obtain the dust measurement error; Step S7: Based on the temperature measurement error, dust measurement error, and the first measurement distance, obtain the second measurement distance to improve the measurement accuracy.

[0028] Please see Figure 2 In this embodiment, a laser tracker 1 is used as the laser measuring instrument, and it is placed in front of the sample 2 to be measured in a high-temperature, dusty environment. The position of the laser tracker 1 is taken as the starting point. Several temperature acquisition devices 3A and dust concentration acquisition devices 3B are evenly arranged along the measurement path from the sample to the laser tracker 1 (according to...). The interval arrangement, The actual measurement distance from the laser tracker 1 to the sample to be measured is referred to as the second measurement distance in this embodiment. First, temperature data at several measuring points are collected using temperature acquisition instrument 3A, and dust concentration data at several measuring points are collected using dust concentration acquisition instrument 3B, to obtain the distance at the location... Temperature data at the measuring point and dust concentration data at measuring points The first measurement distance is obtained by reading the instrument on the laser tracker 1. Then, using the temperature error correction device 4, the first air refractive index corresponding to several measuring points is calculated based on the temperature data from several measuring points, establishing a correlation between temperature and air refractive index. This is combined with the first air refractive index corresponding to each measuring point and the first measurement distance for calculation. Specifically, based on the first measurement distance, the distance between several measuring points and the laser tracker 1 is first obtained. Then, the first air refractive index along the optical path of the laser tracker 1 is integrated to obtain the first measurement distance. The relationship between (i.e., the reading of laser tracker 1) and the temperature T at the measuring point: ; In the formula, The temperature at the location of laser tracker 1; For temperature The corresponding first air refractive index; The temperature is the temperature at which the measuring point on the light propagation path is 1 s away from the laser tracker; For temperature The corresponding first air refractive index. Applying the above equation to... Expanding on this point, we get: ; In the formula, The temperature difference at a distance *s* from the measuring point to the laser tracker provides a crucial intermediate parameter for subsequent temperature error analysis. Next, the average temperature difference is calculated, and the above formula can be further simplified to: ; In the formula, This is the second measurement distance obtained only after temperature correction under high-temperature conditions. The average temperature difference eliminates the random influence of temperature differences at single measuring points and objectively reflects the interference of the overall temperature distribution on the measurement distance of laser tracker 1. Then, combining the average temperature difference and the first measurement distance, the temperature measurement error is derived, specifically: under one atmosphere of pressure (1.01 kPa) and relative humidity RH = 50%, ;therefore, , combined We can obtain: ; In the formula, To account for the temperature measurement error caused by temperature, the above formula is rearranged to obtain: ; Ultimately, the temperature measurement error caused by the change in air refractive index due to thermal radiation in a high-temperature environment was obtained, providing data support for subsequent temperature error correction. Next, using a dust error correction device 5, the second air refractive index corresponding to several measuring points was calculated based on dust concentration data, establishing a correlation between dust concentration and air refractive index. This allowed the dust measurement error to be obtained by using the second air refractive index corresponding to several measuring points and the first measurement distance, quantifying the measurement deviation caused by the changing air refractive index in a dusty environment and clarifying the degree of interference of dust factors on measurement accuracy. Finally, the second measurement distance was obtained using the temperature measurement error, dust measurement error, and the first measurement distance, and transmitted to the laser tracker operating device 6. This achieved error correction for the measurement distance of the laser tracker 1 in a high-temperature dusty environment, improving the measurement accuracy of the laser tracker 1 in such environments. Figure 2 The temperature and dust collector 3, temperature error correction device 4, dust error correction device 5, and laser tracker operating device 6 in this embodiment constitute a new device and electronic equipment for improving testing accuracy in a high-temperature dust environment using the laser tracker 1.

[0029] Furthermore, the step of calculating the first air refractive index corresponding to several measuring points based on temperature data from several measuring points includes: Based on temperature data from several measuring points and a preset temperature correction model, the first air refractive index corresponding to several measuring points is calculated.

[0030] In this embodiment, based on the empirical formula proposed by Estler et al., the preset temperature correction model (air refractive index correction model under varying temperature conditions) can be obtained as follows: ; In the formula, n is the air refractive index, P is the atmospheric pressure (kPa), T is the temperature (°C), and RH is the relative humidity (%). By substituting the temperature data of several measuring points into the preset temperature correction model, the first air refractive index corresponding to several measuring points can be obtained, which lays the foundation for quantifying the temperature measurement distance error caused by temperature in the laser tracker 1 and correcting the temperature error.

[0031] Furthermore, the calculation of the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points includes: For any given measuring point, the following steps are performed: Based on the dust concentration data corresponding to that measuring point, obtain the dust refractive index and dust density corresponding to that measuring point; Based on the dust concentration data, dust refractive index, and dust density corresponding to that measuring point, calculate the second air refractive index corresponding to that measuring point.

[0032] In this embodiment, based on the relevant laws governing dust material properties and the dust concentration data corresponding to any measuring point, the dust refractive index and dust density corresponding to that measuring point are obtained, providing a foundation for establishing the correlation between dust and air refractive index. Next, the dust concentration data, dust refractive index, and dust density corresponding to any measuring point are integrated to obtain the second air refractive index corresponding to that measuring point, specifically: In the formula, The refractive index of the dust; Dust density, The effective Gladstone-Dale constant is only related to the properties of the dust material itself. Obtaining the second air refractive index corresponding to several measurement points facilitates subsequent quantification of dust measurement errors caused by dust, and then corrects the first measurement distance based on the dust measurement errors.

[0033] Further, the calculation of the second air refractive index corresponding to the measuring point based on the dust concentration data, the dust refractive index, and the dust density at the measuring point includes: Based on the dust concentration data, dust refractive index, dust density, and preset dust correction model corresponding to the measuring point, the second air refractive index corresponding to the measuring point is calculated.

[0034] In this embodiment, the dust concentration data, dust refractive index, and dust density at the measuring point are combined with a preset dust correction model for calculation. Specifically, the preset dust correction model (applicable to mixed media) is as follows: In the formula, n is the refractive index of the dust; C is the dust concentration data at the measuring point. After substituting, we get: This allows us to obtain the second air refractive index corresponding to the measurement point, laying the foundation for subsequent quantification of dust measurement errors caused by dust in the laser tracker 1 and for correcting these dust errors.

[0035] Further, the step of obtaining the dust measurement error based on the second air refractive index and the first measurement distance corresponding to several of the measurement points includes: Based on the second air refractive index corresponding to several of the measuring points and the first measuring distance, calculate the dust concentration difference corresponding to each measuring point; Based on the dust concentration difference corresponding to each measuring point, the average dust concentration difference is calculated, and the dust measurement error is obtained based on the average dust concentration difference and the first measuring distance.

[0036] In this embodiment, the second air refractive index and the first measurement distance corresponding to each measuring point are calculated to obtain the dust concentration difference of each measuring point relative to the location of the laser tracker 1. Specifically, the second air refractive index on the optical path of the laser tracker 1 is integrated to obtain the relationship between the first measurement distance (i.e., the reading of the laser tracker 1) and the dust concentration C at the measuring point. ; In the formula, The dust concentration at the location of laser tracker 1; Dust concentration The corresponding second air refractive index; The dust concentration is the distance s between the measuring point and the laser tracker along the light propagation path; Dust concentration The corresponding second air refractive index. Applying the above equation to... Expanding on this point, we get: ; In the formula, The dust concentration difference at a distance *s* from the measuring point to the laser tracker provides a crucial intermediate parameter for subsequent dust error analysis. Next, the average dust concentration difference is calculated, and the above formula can be further simplified to: ; In the formula, This is the second measurement distance obtained only under dusty conditions after dust correction. The average dust concentration difference eliminates the random influence of dust concentration differences at single measuring points, thus objectively reflecting the interference of the overall dust distribution on the measurement distance of laser tracker 1. Then, combining the average dust concentration difference and the first measurement distance, the dust measurement error is derived and obtained, specifically: In the formula, To account for dust measurement errors, the resulting deviation in dust measurement due to changes in air refractive index in a dusty environment can be obtained after processing: This provides data support for subsequent dust error correction.

[0037] Furthermore, the step of obtaining a second measurement distance based on temperature measurement error, dust measurement error, and a first measurement distance to improve measurement accuracy includes: The total measurement error is obtained based on temperature measurement error and dust measurement error. Based on the total measurement error and the first measurement distance, a second measurement distance is obtained to improve measurement accuracy.

[0038] In this embodiment, the total measurement error Due to temperature error Dust error Adding them together, we get: By obtaining the total measurement error corresponding to several measuring points, the comprehensive measurement deviation of laser tracker 1 caused by the change in air refractive index in a high-temperature dust environment was quantified. Then, by combining the total measurement error corresponding to any measuring point with the first measurement distance, the second measurement distance was calculated, specifically: , The second measurement distance is used to correct the error of the measurement distance of the laser tracker 1 in a high-temperature dust environment, thereby improving the measurement accuracy of the laser tracker 1 in a high-temperature dust environment.

[0039] Please see Figure 3 This embodiment provides a measurement accuracy improvement system for a laser tracker 1, including a data acquisition module, a first air refractive index calculation module, a temperature error solving module, a second air refractive index calculation module, a dust error solving module, and an error correction module, specifically: The data acquisition module is used to acquire temperature data at several measuring points, dust concentration data at several measuring points, and a first measuring distance; The first air refractive index calculation module is used to calculate the first air refractive index corresponding to several measuring points based on temperature data from several measuring points. The temperature error solving module is used to calculate the temperature difference value corresponding to each measuring point based on the first air refractive index and the first measurement distance corresponding to several measuring points. The temperature error solving module is used to calculate the average temperature difference based on the temperature difference value corresponding to each measuring point, so as to obtain the temperature measurement error based on the average temperature difference and the first measurement distance. The second air refractive index calculation module is used to calculate the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points. The dust error solving module is used to obtain the dust measurement error based on the second air refractive index and the first measurement distance corresponding to several of the measurement points; The error correction module is used to obtain a second measurement distance based on the temperature measurement error, dust measurement error, and the first measurement distance, so as to improve the measurement accuracy.

[0040] This embodiment provides a measurement accuracy improvement system for a laser tracker 1. In practical applications, the laser tracker 1 is used and placed in front of the sample to be measured in a high-temperature, dusty environment. The position of the laser tracker 1 is taken as the starting point. Several temperature acquisition devices 3A and dust concentration acquisition devices 3B are evenly arranged along the measurement path from the sample to the laser tracker 1. First, temperature data is collected at several measuring points using temperature acquisition devices 3A, and dust concentration data is collected at several measuring points using dust concentration acquisition devices 3B, thus obtaining the dust concentration data at the location... Temperature data at the measuring point and dust concentration data at measuring points The first measurement distance is obtained by reading the instrument on the laser tracker 1. Then, using the first air refractive index calculation module, the first air refractive index corresponding to several measurement points is calculated based on the temperature data from several measurement points, establishing a correlation between temperature and air refractive index. The temperature measurement error is then obtained using the temperature error solving module by using the first air refractive index corresponding to several measurement points and the first measurement distance. Specifically, based on the first measurement distance, the distance between several measurement points and the laser tracker 1 is first obtained. Then, the first air refractive index on the optical path of the laser tracker 1 is integrated to obtain the first measurement distance. The relationship between (i.e., the reading of laser tracker 1) and the temperature T at the measuring point: ; In the formula, The temperature at the location of laser tracker 1; For temperature The corresponding first air refractive index; The temperature is the temperature at which the measuring point on the light propagation path is 1 s away from the laser tracker; For temperature The corresponding first air refractive index. Applying the above equation to... Expanding on this point, we get: ; In the formula, The temperature difference at a distance *s* from the measuring point to the laser tracker provides a crucial intermediate parameter for subsequent temperature error analysis. Next, the average temperature difference is calculated, and the above formula can be further simplified to: ; In the formula, This is the second measurement distance obtained only after temperature correction under high-temperature conditions. The average temperature difference eliminates the random influence of temperature differences at single measuring points and objectively reflects the interference of the overall temperature distribution on the measurement distance of laser tracker 1. Then, combining the average temperature difference and the first measurement distance, the temperature measurement error is derived, specifically: under one atmosphere of pressure (1.01 kPa) and relative humidity RH = 50%, ;therefore, , combined We can obtain: ; In the formula, To account for the temperature measurement error caused by temperature, the above formula is rearranged to obtain: ; Ultimately, the temperature measurement error caused by the change in air refractive index due to thermal radiation in a high-temperature environment was obtained, providing data support for subsequent temperature error correction. Next, a second air refractive index calculation module was used to calculate the second air refractive index corresponding to several measuring points using dust concentration data, establishing a correlation between dust concentration and air refractive index. Then, a dust error solving module was used to obtain the dust measurement error by using the second air refractive index corresponding to several measuring points and the first measurement distance, quantifying the measurement deviation caused by the changing air refractive index in a dusty environment and clarifying the degree of interference of dust factors on measurement accuracy. Finally, an error correction module was used to obtain the second measurement distance using the temperature measurement error, dust measurement error, and the first measurement distance, and transmitted it to the laser tracker operating device 6. This achieved error correction for the measurement distance of the laser tracker 1 in a high-temperature dusty environment, improving the measurement accuracy of the laser tracker 1 in such environments.

[0041] Furthermore, the first air refractive index calculation module is used to calculate the first air refractive index corresponding to several measuring points based on temperature data from several measuring points, including: Based on temperature data from several measuring points and a preset temperature correction model, the first air refractive index corresponding to several measuring points is calculated.

[0042] In this embodiment, based on the empirical formula proposed by Estler et al., the preset temperature correction model (air refractive index correction model under varying temperature conditions) can be obtained as follows: ; In the formula, n is the air refractive index, P is the atmospheric pressure (kPa), T is the temperature (°C), and RH is the relative humidity (%). By substituting the temperature data of several measuring points into the preset temperature correction model, the first air refractive index corresponding to several measuring points can be obtained, which lays the foundation for quantifying the temperature measurement distance error caused by temperature in the laser tracker 1 and correcting the temperature error.

[0043] Furthermore, the second air refractive index calculation module is used to calculate the second air refractive index corresponding to several measuring points based on dust concentration data at several measuring points, including: For any given measuring point, the following steps are performed: Based on the dust concentration data corresponding to that measuring point, obtain the dust refractive index and dust density corresponding to that measuring point; Based on the dust concentration data, dust refractive index, and dust density corresponding to that measuring point, calculate the second air refractive index corresponding to that measuring point.

[0044] In this embodiment, based on the relevant laws governing dust material properties and the dust concentration data corresponding to any measuring point, the dust refractive index and dust density corresponding to that measuring point are obtained, providing a foundation for establishing the correlation between dust and air refractive index. Next, the dust concentration data, dust refractive index, and dust density corresponding to any measuring point are integrated to obtain the second air refractive index corresponding to that measuring point, specifically: In the formula, The refractive index of the dust; Dust density, The effective Gladstone-Dale constant is only related to the properties of the dust material itself. Obtaining the second air refractive index corresponding to several measurement points facilitates subsequent quantification of dust measurement errors caused by dust, and then corrects the first measurement distance based on the dust measurement errors.

[0045] Further, the calculation of the second air refractive index corresponding to the measuring point based on the dust concentration data, the dust refractive index, and the dust density at the measuring point includes: Based on the dust concentration data, dust refractive index, dust density, and preset dust correction model corresponding to the measuring point, the second air refractive index corresponding to the measuring point is calculated.

[0046] In this embodiment, the dust concentration data, dust refractive index, and dust density at the measuring point are combined with a preset dust correction model for calculation. Specifically, the preset dust correction model (applicable to mixed media) is as follows: In the formula, n is the refractive index of the dust; C is the dust concentration data at the measuring point. After substituting, we get: This allows us to obtain the second air refractive index corresponding to the measurement point, laying the foundation for subsequent quantification of dust measurement errors caused by dust in the laser tracker 1 and for correcting these dust errors.

[0047] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for improving measurement accuracy of a laser measuring instrument, characterized by, The method comprises the following steps: obtaining temperature data of a plurality of measuring points, dust concentration data of the plurality of measuring points and a first measuring distance; calculating first air refractive indexes corresponding to the plurality of measuring points based on the temperature data of the plurality of measuring points; calculating a temperature difference value corresponding to each measuring point based on the first air refractive indexes corresponding to the plurality of measuring points and the first measuring distance; calculating a temperature difference average value based on the temperature difference value corresponding to each measuring point, and obtaining a temperature measurement error based on the temperature difference average value and the first measuring distance; calculating second air refractive indexes corresponding to the plurality of measuring points based on the dust concentration data of the plurality of measuring points; obtaining a dust measurement error based on the second air refractive indexes corresponding to the plurality of measuring points and the first measuring distance; obtaining a second measuring distance based on the temperature measurement error, the dust measurement error and the first measuring distance, so as to improve the measurement accuracy.

2. The method of claim 1, wherein The method comprises the following steps: calculating the first air refractive indexes corresponding to the plurality of measuring points based on the temperature data of the plurality of measuring points and a preset temperature correction model.

3. The method of claim 1, wherein the laser measuring instrument is a total station. The method comprises the following steps: for the dust concentration data of any measuring point, the following steps are performed: obtaining a dust refractive index corresponding to the measuring point and a dust density corresponding to the measuring point based on the dust concentration data of the measuring point; and calculating a second air refractive index corresponding to the measuring point based on the dust concentration data of the measuring point, the dust refractive index corresponding to the measuring point and the dust density corresponding to the measuring point.

4. The method of claim 3, wherein the laser measuring instrument is a total station. The method comprises the following steps: calculating the second air refractive index corresponding to the measuring point based on the dust concentration data of the measuring point, the dust refractive index corresponding to the measuring point, the dust density corresponding to the measuring point and a preset dust correction model.

5. The method of claim 1, wherein the laser measuring instrument is a total station. The method comprises the following steps: calculating a dust concentration difference value corresponding to each measuring point based on the second air refractive indexes corresponding to the plurality of measuring points and the first measuring distance; calculating a dust concentration difference average value based on the dust concentration difference value corresponding to each measuring point, and obtaining the dust measurement error based on the dust concentration difference average value and the first measuring distance.

6. The method of claim 1, wherein the method further comprises: The method comprises the following steps: obtaining a total measurement error based on the temperature measurement error and the dust measurement error; obtaining the second measuring distance based on the total measurement error and the first measuring distance, so as to improve the measurement accuracy.

7. A system for improving measurement accuracy of a laser measuring instrument, the system comprising: The method comprises the following steps: The data acquisition module is configured to obtain the temperature data of the plurality of measuring points, the dust concentration data of the plurality of measuring points and the first measuring distance. The first air refractive index calculation module is configured to calculate the first air refractive indexes corresponding to the plurality of measuring points based on the temperature data of the plurality of measuring points and a preset temperature correction model. The temperature error solving module is configured to calculate a temperature difference value corresponding to each measuring point based on the first air refractive indexes corresponding to the plurality of measuring points and the first measuring distance. The second air refractive index calculation module is configured to calculate second air refractive indexes corresponding to the plurality of measuring points based on the dust concentration data of the plurality of measuring points. The dust error solving module is configured to obtain a dust measurement error based on the second air refractive indexes corresponding to the plurality of measuring points and the first measuring distance. The error correction module is configured to obtain a second measuring distance based on the temperature measurement error, the dust measurement error and the first measuring distance, so as to improve the measurement accuracy. The data acquisition module is configured to obtain the temperature data of the plurality of measuring points, the dust concentration data of the plurality of measuring points and the first measuring distance. The first air refractive index calculation module is configured to calculate the first air refractive indexes corresponding to the plurality of measuring points based on the temperature data of the plurality of measuring points and a preset temperature correction model. The temperature error solving module is configured to calculate a temperature difference value corresponding to each measuring point based on the first air refractive indexes corresponding to the plurality of measuring points and the first measuring distance. The second air refractive index calculation module is configured to calculate second air refractive indexes corresponding to the plurality of measuring points based on the dust concentration data of the plurality of measuring points. The dust error solving module is configured to obtain a dust measurement error based on the second air refractive indexes corresponding to the plurality of measuring points and the first measuring distance. The error correction module is configured to obtain a second measuring distance based on the temperature measurement error, the dust measurement error and the first measuring distance, so as to improve the measurement accuracy. The first air refractive index calculation module is configured to calculate first air refractive indexes corresponding to a plurality of measuring points based on temperature data of the plurality of measuring points. The temperature error solving module is configured to calculate a temperature difference value corresponding to each measuring point based on the first air refractive indexes corresponding to the plurality of measuring points and the first measurement distance. The temperature error solving module is configured to calculate a temperature difference average value based on the temperature difference value corresponding to each measuring point, and obtain a temperature measurement error based on the temperature difference average value and the first measurement distance. The second air refractive index calculation module is configured to calculate second air refractive indexes corresponding to a plurality of measuring points based on dust concentration data of the plurality of measuring points. The dust error solving module is configured to obtain a dust measurement error based on the second air refractive indexes corresponding to the plurality of measuring points and the first measurement distance. The error correction module is configured to obtain a second measurement distance based on the temperature measurement error, the dust measurement error and the first measurement distance, so as to improve the measurement accuracy.

8. The system for improving the measurement accuracy of a laser measurement instrument of claim 7, wherein, The first air refractive index calculation module is configured to calculate first air refractive indexes corresponding to a plurality of measuring points based on temperature data of the plurality of measuring points, and includes: calculating the first air refractive indexes corresponding to the plurality of measuring points based on the temperature data of the plurality of measuring points and a preset temperature correction model.

9. The system for improving the measurement accuracy of a laser measurement instrument of claim 7, wherein, The second air refractive index calculation module is configured to calculate second air refractive indexes corresponding to a plurality of measuring points based on dust concentration data of the plurality of measuring points, and includes: For the dust concentration data of any measuring point, the following steps are performed: obtaining a dust refractive index corresponding to the measuring point and a dust density corresponding to the measuring point based on the dust concentration data of the measuring point; and calculating the second air refractive index corresponding to the measuring point based on the dust concentration data of the measuring point, the dust refractive index corresponding to the measuring point and the dust density corresponding to the measuring point.

10. The system for improving the measurement accuracy of a laser measurement instrument of claim 9, wherein, The second air refractive index corresponding to the measuring point is calculated based on the dust concentration data of the measuring point, the dust refractive index corresponding to the measuring point and the dust density corresponding to the measuring point, and includes: The second air refractive index corresponding to the measuring point is calculated based on the dust concentration data of the measuring point, the dust refractive index corresponding to the measuring point, the dust density corresponding to the measuring point and a preset dust correction model.

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