Adjustable movable laser ranging device for road and bridge construction

Abstract

The invention discloses an adjustable movable laser ranging device for road and bridge construction, and relates to the technical field of laser ranging, the adjustable movable laser ranging device comprises a laser ranging device main body, a temperature and humidity sensor is installed in the laser ranging device main body, and an emitter, a receiver, an infrared sensor and a visible light sensor are respectively installed on the laser ranging device main body. An adjusting assembly is connected to the lower portion of the laser distance measuring device body, and a laser transmitting and receiving module, a signal processing module, a sensor acquisition module, a data processing module, a storage module and a display module are connected to the interior of the laser distance measuring device body. The data processing module determines the initial reflectivity estimated value, the environment correction coefficient, the corrected reflectivity and the actual measurement distance, intelligent compensation of the reflectivity is achieved, the factors of the measurement distance, the target material and the measurement environment are comprehensively considered, the measurement precision of laser ranging is improved, and in addition, the measurement accuracy is improved. And the measurement flexibility of laser ranging is expanded through the adjusting assembly.

Description

Technical Field

[0001] The invention relates to the technical field of laser distance measurement, in particular to an adjustable movable laser distance measurement device for road and bridge construction. Background Art

[0002] During road and bridge construction, in order to ensure the quality of the project, it is often necessary to measure the height, length, slope, etc. of the road and bridge. Among them, the laser ranging device is a commonly used measuring tool that uses laser to accurately measure the target distance.

[0003] At present, due to the different reflective properties of different materials and changes in different environmental factors, they will all affect the propagation and reflection of lasers. However, existing laser ranging devices do not consider the impact of target materials and measurement environment on reflectivity, resulting in low measurement accuracy, which in turn affects the measurement results.

[0004] In addition, existing devices are unable to intelligently compensate for reflectivity, making it difficult to adapt to different measurement scenarios. Specifically, when the measurement distance changes, the intensity of the echo signal will change. If corresponding compensation is not performed, the measurement results will be inaccurate. For example, when measuring at long distances, the echo signal is weak and the peak intensity may not be accurately measured, which will affect the estimation of reflectivity and the measurement of distance. Summary of the Invention

[0005] The purpose of the present invention is to provide an adjustable movable laser distance measuring device for road and bridge construction, which solves the problems raised in the above background technology.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solution, including a laser ranging device body, a temperature and humidity sensor installed inside the laser ranging device body, a transmitter, a receiver, an infrared sensor, and a visible light sensor installed on the laser ranging device body, and an adjustment component connected to the bottom of the laser ranging device body; The laser distance measuring device body is internally connected with a laser emission and receiving module, a signal processing module, a sensor acquisition module, a data processing module, a storage module and a display module; The specific implementation steps are as follows: S1, the laser transmitting and receiving module receives the original distance measured by the transmitter and the receiver and the reflected echo signal; S2, the signal processing module amplifies and filters the echo signal, determines the peak strength of the echo signal, and transmits it to the data processing module and the storage module; S3, the sensor acquisition module receives the internal temperature, internal humidity, visible light band reflection intensity and infrared band reflection intensity detected by the temperature and humidity sensor, the visible light sensor and the infrared sensor respectively, and transmits them to the data processing module and the storage module; S4, the data processing module extracts the reference ranging related data group from the storage module; S4.1. Determine a preliminary reflectivity estimate after weighting the reference ranging-related data set and the echo signal peak intensity; Input the internal temperature and internal humidity described in S4.2.1 into the functional relationship between the environmental parameter and the reflectivity correction factor to determine the environmental correction factor; S4.2.2 After weighting the reference ranging data set, the visible light band reflection intensity, and the infrared band reflection intensity, the result is corrected for environmental factors using the environmental correction coefficient to determine the corrected reflectivity; S4.3 determining an actual measured distance after reflectivity compensation based on the original distance, the reference distance-related data set, and the corrected reflectivity; S5. The display module receives and displays the actual measured distance.

[0007] Optionally, the reference distance measurement related data group includes a reference peak intensity, a first reference reflection intensity, a second reference reflection intensity, a material characteristic coefficient, a peak maximum intensity, a first reflection maximum intensity, and a second reflection maximum intensity; The reference peak intensity and the peak maximum intensity are obtained by the signal processing module; The first reference reflection intensity and the first maximum reflection intensity are acquired by the visible light sensor; The second reference reflection intensity and the second reflection maximum intensity are obtained by the infrared sensor; The material characteristic coefficient is obtained by the data processing module.

[0008] Optionally, a specific process for determining the preliminary reflectivity estimate based on S4.1 is as follows: Determining a normalized peak intensity of the echo signal based on a proportional relationship between the peak intensity of the echo signal and the peak maximum intensity; Determining a normalized reference peak intensity based on a proportional relationship between the reference peak intensity and the peak maximum intensity; Determining, based on a proportional relationship between the normalized echo signal peak intensity and the normalized reference peak intensity, a first relative magnitude feature reflecting whether the current echo signal peak intensity is within a detection capability range of the device; The preliminary reflectivity estimation value is determined by combining and weighting the influence of the material characteristic coefficient on the first relative size characteristic.

[0009] Optionally, based on the specific determination process in S4.1, the material characteristic coefficient is specifically obtained as follows: When the normalized echo signal peak intensity and the normalized reference peak intensity are known, since the material characteristic coefficient is unknown, the initial material characteristic coefficient can be set to 1. Conduct multiple measurements and calculations on the ranging materials currently under construction for roads and bridges to obtain multiple preliminary reflectivity estimates; Compare and analyze multiple preliminary reflectivity estimates with the design expected reflectivity and establish a regression model between the two; According to the regression model, multiple preliminary reflectivity estimates from multiple measurements are combined, and optimization algorithms such as the least squares method are used to solve the material characteristic coefficient corresponding to each material and determine the material characteristic coefficient.

[0010] Optionally, the specific process for determining the corrected reflectivity based on S4.2.2 is as follows: determining a normalized visible light band reflection intensity based on a proportional relationship between the visible light band reflection intensity and the first reflection maximum intensity; determining a normalized first reference reflection intensity based on a proportional relationship between the first reference reflection intensity and the first reflection maximum intensity; Determining a normalized infrared band reflection intensity based on a proportional relationship between the infrared band reflection intensity and the second maximum reflection intensity; determining a normalized second reference reflection intensity based on a proportional relationship between the second reference reflection intensity and the second reflection maximum intensity; Determine a first relative change rate in the visible light band by performing normalization processing on the result of subtracting the normalized first reference reflection intensity from the normalized visible light band reflection intensity and dividing the result by the normalized first reference reflection intensity; Determine the second relative change rate of the infrared band after normalization by subtracting the normalized second reference reflection intensity from the normalized infrared band reflection intensity and dividing the result by the normalized second reference reflection intensity; performing weighted processing on the first relative change rate and the second relative change rate and then adding them together to determine a multi-band influence coefficient; The environmental correction coefficient is used to correct the multi-band impact results by environmental factors to determine a comprehensive impact coefficient; The comprehensive influence coefficient is used to comprehensively correct the preliminary reflectivity estimate to determine the corrected reflectivity.

[0011] Optionally, the specific process for determining the environmental correction factor based on S4.2.1 is as follows: The temperature and humidity sensor obtains the internal temperature and the internal humidity; The internal temperature and the internal humidity are transmitted to the data processing module via the transmission of the sensor acquisition module; The data processing module establishes a functional relationship between environmental parameters and reflectivity correction coefficients, and uses a linear regression model to input the internal temperature and the internal humidity into calculations, and ultimately determines the environmental correction coefficients; The calculation formula of the linear regression model used to determine the environmental correction coefficient is as follows: h=a+a1×T+a2×H; in: h is the environmental correction coefficient, T is the internal temperature, H is the internal humidity, and a, a1, and a2 are all fitting coefficients.

[0012] Optionally, a specific process of determining the actual measured distance based on S4.3 is as follows: The original distance is determined based on the calculation formula based on the distance measurement principle: distance = (speed of light × time difference) / 2; The difference between the corrected reflectivity and the designed expected reflectivity is divided by the designed expected reflectivity and then weighted to determine a reflection variation coefficient; The original distance is affected by the reflection change rate to determine the actual measured distance.

[0013] Optionally, the adjustment assembly includes an upper flange connecting column, a lower flange connecting column, a base frame, a fixing sleeve, a motor, a driving gear, and a driven gear.

[0014] Optionally, the upper flange connection column is fixedly mounted on the lower surface of the laser ranging device body, and the upper flange connection column and the lower flange connection column are in a flange connection relationship; The driven gear is sleeved on the outer surface of the lower flange connection column, the fixed sleeve is fixedly sleeved on the outer surface of the base frame, and the motor is fixedly installed inside the base frame; The output end of the motor is fixedly connected to the driving gear, and the driving gear is in a meshing connection relationship with the driven gear. The bottom end of the lower flange connecting column is inserted into the interior of the base frame for limited rotation.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention first comprehensively considers the echo signal peak intensity, reference peak intensity, material characteristic coefficient and weight coefficient, and can preliminarily estimate the reflectivity of the target material. Among them, by introducing the material characteristic coefficient, the influence of the target material on the reflectivity is taken into account.

[0016] Secondly, the present invention comprehensively considers the data of visible light and infrared bands, corrects the reflectivity, and calculates the environmental correction coefficient based on the internal temperature and internal humidity measured by the temperature and humidity sensor and a pre-established functional relationship, and introduces the environmental correction coefficient into the calculation, thereby taking into account the influence of the measurement environment on the reflectivity. At the same time, multi-spectral fusion of visible light and infrared band data is performed to further improve the accuracy of the reflectivity correction, so that the measurement results of laser ranging are more in line with the actual situation.

[0017] Finally, when the corrected reflectivity is used to compensate the original distance, the difference between the corrected reflectivity and the designed expected reflectivity is taken into account. By accurately estimating and correcting the corrected reflectivity, the influence of the reflectivity on the distance measurement can be compensated more accurately, thereby improving the accuracy of laser ranging. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is the main view of the overall structure of the adjustable movable laser ranging device; Figure 2 This is a side view of the overall structure of the adjustable movable laser ranging device; Figure 3 For the present invention Figure 2 A magnified schematic diagram of the structure at A in the middle; Figure 4 This is a schematic diagram of the process steps for laser ranging using the adjustable movable laser ranging device.

[0019] In the figure: 1-laser ranging device body, 2-transmitter, 3-receiver, 4-visible light sensor, 5-infrared sensor, 6-upper flange connecting column, 7-lower flange connecting column, 8-driven gear, 9-base frame, 10-fixing sleeve, 11-motor, 12-driving gear. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] Regarding this adjustable movable laser ranging device, it is different from existing laser ranging devices. Existing laser ranging devices have the problem of limited measurement accuracy. This algorithm unit improves the measurement accuracy of laser ranging after considering the measurement distance, target material and measurement environment factors.

[0022] For example 1, please refer to Figures 1 to 4 This embodiment provides an adjustable movable laser distance measuring device for road and bridge construction, including a laser distance measuring device body 1, a temperature and humidity sensor installed inside the laser distance measuring device body 1, a transmitter 2, a receiver 3, an infrared sensor 5, and a visible light sensor 4 installed on the laser distance measuring device body, and an adjustment component connected to the bottom of the laser distance measuring device body 1; The laser distance measuring device body 1 is internally connected with a laser emission and receiving module, a signal processing module, a sensor acquisition module, a data processing module, a storage module and a display module; The specific implementation steps are as follows: S1, the laser transmitting and receiving module receives the original distance measured by the transmitter 2 and the receiver 3 and the reflected echo signal; S2, the signal processing module amplifies and filters the echo signal, determines the peak strength of the echo signal, and transmits it to the data processing module and storage module; S3, the sensor acquisition module receives the internal temperature, internal humidity, visible light band reflection intensity and infrared band reflection intensity sensed by the temperature and humidity sensor, visible light sensor 4 and infrared sensor 5 respectively, and transmits them to the data processing module and storage module; S4, the data processing module extracts the reference ranging related data group from the storage module; S4.1. Determine a preliminary reflectivity estimate after weighting the reference ranging-related data set and the peak intensity of the echo signal; S4.2.1 Input the interior temperature and interior humidity into the functional relationship between the environmental parameter and the reflectivity correction factor to determine the environmental correction factor; S4.2.2 After weighting the reference ranging data set, the visible light band reflectance intensity, and the infrared band reflectance intensity, the results are corrected for environmental factors using the environmental correction coefficient to determine the corrected reflectance; S4.3 determining the actual measured distance after reflectivity compensation based on the original distance, the reference distance measurement related data set, and the corrected reflectivity; S5. The display module receives and displays the actual measured distance.

[0023] The reference distance measurement related data group includes reference peak intensity, first reference reflection intensity, second reference reflection intensity, material characteristic coefficient, peak maximum intensity, first reflection maximum intensity, and second reflection maximum intensity; The reference peak intensity and peak maximum intensity are obtained by the signal processing module; The first reference reflection intensity and the first maximum reflection intensity are acquired by the visible light sensor 4; The second reference reflection intensity and the second maximum reflection intensity are obtained by the infrared sensor 5; The material characteristic coefficients are obtained by the data processing module.

[0024] In this embodiment, first, the data processing module preliminarily estimates the preliminary reflectivity by combining the echo signal and reference signal acquired by the laser emission and receiving modules with the analysis of the target material characteristics by the signal processing module; With the help of the multispectral data of the sensor acquisition module and the internal temperature and humidity of the temperature and humidity sensor, the data processing module corrects the reflectivity and determines the corrected reflectivity, so that the reflectivity calculation is more in line with the actual measurement environment; The original distance is compensated based on the corrected reflectivity to improve the ranging accuracy.

[0025] The three calculation results work together with the display unit and storage module of the laser ranging device body 1 to improve the measurement accuracy, adaptability and reliability of the adjustable movable laser ranging device in road and bridge construction, and can effectively meet the laser ranging needs under different materials and complex environments.

[0026] See also Figure 4 The specific process for determining the preliminary reflectivity estimate based on S4.1 is as follows: Determine the normalized peak intensity of the echo signal based on the proportional relationship between the peak intensity of the echo signal and the maximum peak intensity; Based on the proportional relationship between the reference peak intensity and the peak maximum intensity, the normalized reference peak intensity is determined; Determining, based on a proportional relationship between the normalized peak intensity of the echo signal and the normalized reference peak intensity, a first relative magnitude feature reflecting whether the current peak intensity of the echo signal is within a detection capability range of the device; The preliminary reflectivity estimation value is determined after weighting the influence of the material characteristic coefficient on the first relative size characteristic.

[0027] In this embodiment, the calculation formula of the preliminary reflectivity estimation value is as follows: ; FQ nor =FQ / FQ max ; FQ 0,nor =FQ0 / FQ max ; in: F1 is the preliminary reflectivity estimate; FQ nor is the peak intensity of the normalized echo signal, FQ 0,nor is the normalized reference peak intensity, cs is the material characteristic coefficient, and w1 is the weight coefficient; The value range of weight coefficient w1 is 0-1; FQ is the peak strength of the echo signal obtained by direct measurement, FQ0 is the reference peak strength obtained by direct measurement, and FQ max is the peak maximum intensity obtained by direct measurement; The calculation result is the first relative size feature.

[0028] Furthermore, based on the specific determination process in S4.1, the material characteristic coefficient is specifically obtained as follows: When the normalized echo signal peak intensity and the normalized reference peak intensity are known, since the material characteristic coefficient is unknown, the initial material characteristic coefficient can be set to 1. Conduct multiple measurements and calculations on the ranging materials currently under construction for roads and bridges to obtain multiple preliminary reflectivity estimates; Compare and analyze multiple preliminary reflectivity estimates with the design expected reflectivity and establish a regression model between the two; According to the regression model, multiple preliminary reflectivity estimates from multiple measurements are combined, and optimization algorithms such as the least squares method are used to solve the material characteristic coefficient corresponding to each material and determine the material characteristic coefficient.

[0029] See also Figure 4 The specific process for determining the corrected reflectivity based on S4.2.2 is as follows: Determining the normalized visible light band reflection intensity based on the proportional relationship between the visible light band reflection intensity and the first reflection maximum intensity; Determining a normalized first reference reflection intensity based on a proportional relationship between the first reference reflection intensity and the first reflection maximum intensity; Determine the normalized infrared band reflection intensity based on the proportional relationship between the infrared band reflection intensity and the second reflection maximum intensity; Determining a normalized second reference reflection intensity based on a proportional relationship between the second reference reflection intensity and the second reflection maximum intensity; Determine a first relative change rate in the visible light band after normalization by subtracting a difference between the normalized first reference reflection intensity and the normalized first reference reflection intensity. The second relative change rate of the infrared band is determined after normalization processing by subtracting the difference between the normalized second reference reflection intensity and the normalized second reference reflection intensity from the normalized infrared band reflection intensity; Performing weighted processing on the first relative change rate and the second relative change rate respectively and then adding them together to determine a multi-band influence coefficient; The environmental correction coefficient is used to correct the multi-band impact results by environmental factors to determine the comprehensive impact coefficient; After comprehensively correcting the preliminary reflectivity estimate using the comprehensive influence coefficient, the corrected reflectivity is determined.

[0030] In this embodiment, the calculation formula of the corrected reflectivity is as follows: ; KQ nor =KQ / KQ max ; KQ 0,nor =KQ0 / KQ max ; HQ nor =HQ / HQ max ; HQ 0,nor =HQ0 / HQ max ; in: F2 is the corrected reflectivity; KQ nor is the normalized visible light band reflection intensity, KQ 0,nor is the normalized first reference reflection intensity, HQ nor is the normalized infrared band reflection intensity, HQ 0,nor is the normalized second reference reflection intensity, w2 and w3 are weighted coefficients, and h is the environmental correction coefficient; The value range of weight coefficients w2 and w3 is 0-1; KQ is the directly measured reflection intensity of visible light band, KQ max is the maximum intensity of the first reflection directly measured, KQ0 is the first reference reflection intensity directly measured, HQ is the infrared band reflection intensity directly measured, HQ max is the second maximum reflection intensity obtained by direct measurement, HQ0 is the second reference reflection intensity obtained by direct measurement; The result is the first relative rate of change; The result is the second relative rate of change; The result is the multi-band influence coefficient; The result is the comprehensive impact coefficient.

[0031] Furthermore, the specific process for determining the environmental correction factor based on S4.2.1 is as follows: The temperature and humidity sensor obtains the internal temperature and internal humidity; The internal temperature and internal humidity are transmitted through the sensor acquisition module and transmitted to the data processing module; The data processing module establishes a functional relationship between environmental parameters and reflectivity correction coefficients, and uses a linear regression model to input internal temperature and internal humidity into the calculation, and ultimately determines the environmental correction coefficients; The calculation formula of the linear regression model used to determine the environmental correction factor is as follows: h=a+a1×T+a2×H; in: h is the environmental correction coefficient, T is the internal temperature, H is the internal humidity, and a, a1, and a2 are all fitting coefficients.

[0032] In addition, because the internal environment of the laser ranging device body 1 can more accurately reflect the overall environmental temperature and humidity conditions of the device and avoid the direct impact of external environmental factors on the sensor, the temperature and humidity sensor will be installed inside the laser ranging device body 1 near the circuit board or heat dissipation area to monitor the temperature and humidity changes inside the device in real time.

[0033] See also Figure 4 The specific process of determining the actual measured distance based on S4.3 is as follows: The calculation formula based on the distance measurement principle: distance = (speed of light × time difference) / 2, determines the original distance; The difference between the corrected reflectivity and the designed expected reflectivity is divided by the designed expected reflectivity and then weighted to determine the reflection variation coefficient; The original distance is added with the effect of the reflection change rate to determine the actual measured distance.

[0034] In this embodiment, the actual distance is calculated as follows: ; in: J is the actual measured distance; J0 is the original distance, w4 is the weight coefficient, and F02 is the designed expected reflectivity; The value range of weight coefficient w4 is 0-1; The result is the reflection variation coefficient.

[0035] The actual measured distance J is transmitted to the display module for display, which is convenient for the operator to view. In addition, the early warning unit inside the display module can also provide a laser ranging early warning for the actual measured distance J.

[0036] For example 2, please refer to Figures 1 to 3The adjustment component includes an upper flange connecting column 6, a lower flange connecting column 7, a base frame 9, a fixing sleeve 10, a motor 11, a driving gear 12, and a driven gear 8.

[0037] The upper flange connection column 6 is fixedly mounted on the lower surface of the laser distance measuring device body 1, and the upper flange connection column 6 and the lower flange connection column 7 are in a flange connection relationship; The driven gear 8 is sleeved on the outer surface of the lower flange connection column 7, the fixed sleeve 10 is fixedly sleeved on the outer surface of the base frame 9, and the motor 11 is fixedly installed inside the base frame 9; The output end of the motor 11 is fixedly connected to the driving gear 12 , and the driving gear 12 is in meshing connection with the driven gear 8 . The bottom end of the lower flange connection column 7 is inserted into the interior of the base frame 9 for limited rotation.

[0038] In this embodiment, when performing laser ranging, the operator needs to fix the base frame 9 in the operating position; Next, according to the distance measurement direction, press the button of the adjustment component, the output end of the motor 11 drives the driving gear 12 to rotate, the driving gear 12 drives the driven gear 8 engaged therewith to rotate, and the driven gear 8 drives the lower flange connection column 7 to rotate within the base frame 9; Due to the flange connection relationship between the upper flange connecting column 6 and the lower flange connecting column 7, the lower flange connecting column 7 will also drive the upper flange connecting column 6 to rotate until the laser ranging device body 1 is driven to the ranging position; Then, by pressing the distance measurement button, the laser ranging device body 1 is started. The laser ranging device body 1 controls the transmitter 2 to emit laser light, which is received by the receiver 3 and then transmitted to the laser emission and receiving module. The signal processing module processes the signal to obtain the peak intensity FQ of the echo signal. At the same time, the laser ranging device body 1 controls the temperature and humidity sensor, infrared sensor 5 and visible light sensor 4 to perform sensing detection and transmit the data to the sensor acquisition module, data processing module and storage module. Finally, the data processing module calculates and determines the actual measured distance J.

[0039] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An adjustable movable laser distance measuring device for road and bridge construction, characterized in that: The laser distance measuring device comprises a main body (1), a temperature and humidity sensor is installed inside the main body (1), and a transmitter (2), a receiver (3), an infrared sensor (5), and a visible light sensor (4) are respectively installed on the main body of the laser distance measuring device; The laser distance measuring device body (1) is internally connected with a laser emission and receiving module, a signal processing module, a sensor acquisition module, a data processing module and a storage module; The specific implementation steps are as follows: S1, a laser transmitting and receiving module receives the original distance measured by the transmitter (2) and the receiver (3) and the reflected echo signal; S2, the signal processing module amplifies and filters the echo signal and determines the peak strength of the echo signal; S3, the sensor acquisition module is used to receive the internal temperature, internal humidity, visible light band reflection intensity and infrared band reflection intensity; S4, the data processing module extracts the reference ranging related data group from the storage module; S4.

1. Determine a preliminary reflectivity estimate after weighting the reference ranging-related data set and the peak intensity of the echo signal; S4.2.1 Input the interior temperature and interior humidity into the functional relationship between the environmental parameter and the reflectivity correction factor to determine the environmental correction factor; S4.2.2 After weighting the reference ranging data set, the visible light band reflectance intensity, and the infrared band reflectance intensity, the results are corrected for environmental factors using the environmental correction coefficient to determine the corrected reflectance; S4.3 determines the actual measured distance after reflectivity compensation based on the original distance, the reference distance measurement related data group and the corrected reflectivity.

2. The adjustable movable laser distance measuring device for road and bridge construction according to claim 1, characterized in that: The reference distance measurement related data group includes reference peak intensity, first reference reflection intensity, second reference reflection intensity, material characteristic coefficient, peak maximum intensity, first reflection maximum intensity, and second reflection maximum intensity; The reference peak intensity and the peak maximum intensity are obtained by the signal processing module; The first reference reflection intensity and the first maximum reflection intensity are acquired by the visible light sensor (4); The second reference reflection intensity and the second maximum reflection intensity are obtained by the infrared sensor (5); The material characteristic coefficient is obtained by the data processing module.

3. The adjustable movable laser distance measuring device for road and bridge construction according to claim 2, characterized in that: The specific process of determining the preliminary reflectivity estimate based on S4.1 is as follows: Determining a normalized peak intensity of the echo signal based on a proportional relationship between the peak intensity of the echo signal and the peak maximum intensity; Determining a normalized reference peak intensity based on a proportional relationship between the reference peak intensity and the peak maximum intensity; Determining a first relative size feature based on a proportional relationship between the normalized echo signal peak intensity and the normalized reference peak intensity; The preliminary reflectivity estimation value is determined by combining and weighting the influence of the material characteristic coefficient on the first relative size characteristic.

4. The adjustable movable laser distance measuring device for road and bridge construction according to claim 3, characterized in that: Based on the specific determination process in S4.1, the material characteristic coefficient is specifically obtained as follows: When the normalized echo signal peak intensity and the normalized reference peak intensity are known, since the material characteristic coefficient is unknown, the initial material characteristic coefficient can be set to 1. Conduct multiple measurements and calculations on the ranging materials currently under construction for roads and bridges to obtain multiple preliminary reflectivity estimates; Compare and analyze multiple preliminary reflectivity estimates with the design expected reflectivity and establish a regression model between the two; According to the regression model, multiple preliminary reflectivity estimates from multiple measurements are combined, and optimization algorithms such as the least squares method are used to solve the material characteristic coefficient corresponding to each material and determine the material characteristic coefficient.

5. The adjustable movable laser distance measuring device for road and bridge construction according to claim 4, characterized in that: The specific process for determining the corrected reflectivity based on S4.2.2 is as follows: determining a normalized visible light band reflection intensity based on a proportional relationship between the visible light band reflection intensity and the first reflection maximum intensity; determining a normalized first reference reflection intensity based on a proportional relationship between the first reference reflection intensity and the first reflection maximum intensity; Determining a normalized infrared band reflection intensity based on a proportional relationship between the infrared band reflection intensity and the second maximum reflection intensity; determining a normalized second reference reflection intensity based on a proportional relationship between the second reference reflection intensity and the second reflection maximum intensity; Determine a first relative change rate in the visible light band by performing normalization processing on the result of subtracting the normalized first reference reflection intensity from the normalized visible light band reflection intensity and dividing the result by the normalized first reference reflection intensity; Determine the second relative change rate of the infrared band after normalization by subtracting the normalized second reference reflection intensity from the normalized infrared band reflection intensity and dividing the result by the normalized second reference reflection intensity; performing weighted processing on the first relative change rate and the second relative change rate and then adding them together to determine a multi-band influence coefficient; The environmental correction coefficient is used to correct the multi-band impact results by environmental factors to determine a comprehensive impact coefficient; The comprehensive influence coefficient is used to comprehensively correct the preliminary reflectivity estimate to determine the corrected reflectivity.

6. The adjustable movable laser distance measuring device for road and bridge construction according to claim 4, characterized in that: The specific process for determining the environmental correction factor based on S4.2.1 is as follows: The temperature and humidity sensor obtains the internal temperature and the internal humidity; The internal temperature and the internal humidity are transmitted to the data processing module via the transmission of the sensor acquisition module; The data processing module establishes a functional relationship between environmental parameters and reflectivity correction coefficients, and uses a linear regression model to input the internal temperature and the internal humidity into calculations, and ultimately determines the environmental correction coefficients; The calculation formula of the linear regression model for determining the environmental correction coefficient is as follows: h=a+a1×T+a2×H; in: h is the environmental correction coefficient, T is the internal temperature, H is the internal humidity, and a, a1, and a2 are all fitting coefficients.

7. The adjustable movable laser distance measuring device for road and bridge construction according to claim 6, characterized in that: The specific process of determining the actual measured distance based on S4.3 is as follows: The original distance is determined based on the calculation formula based on the distance measurement principle: distance = (speed of light × time difference) / 2; The difference between the corrected reflectivity and the designed expected reflectivity is divided by the designed expected reflectivity and then weighted to determine a reflection variation coefficient; The original distance is affected by the reflection change rate to determine the actual measured distance.

8. The adjustable movable laser distance measuring device for road and bridge construction according to claim 1, characterized in that: An adjustment component is connected below the laser distance measuring device body (1): The adjustment assembly comprises an upper flange connecting column (6), a lower flange connecting column (7), a base frame (9), a fixing sleeve (10), a motor (11), a driving gear (12), and a driven gear (8).

9. The adjustable movable laser distance measuring device for road and bridge construction according to claim 8, characterized in that: The upper flange connection column (6) is fixedly mounted on the lower surface of the laser distance measuring device body (1), and the upper flange connection column (6) and the lower flange connection column (7) are in a flange connection relationship; The driven gear (8) is sleeved on the outer surface of the lower flange connection column (7), the fixed sleeve (10) is fixedly sleeved on the outer surface of the base frame (9), and the motor (11) is fixedly installed inside the base frame (9); The output end of the motor (11) is fixedly connected to the driving gear (12), and the driving gear (12) is in a meshing connection relationship with the driven gear (8). The bottom end of the lower flange connection column (7) is inserted into the interior of the base frame (9) for limited rotation.

10. The adjustable movable laser distance measuring device for road and bridge construction according to claim 1, characterized in that: A display module is also connected to the interior of the laser distance measuring device body (1), and the display module is used to receive and display the actual measured distance.

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