CN117990652A - Near infrared light-based concrete aggregate water content rapid measurement method and device - Google Patents
Near infrared light-based concrete aggregate water content rapid measurement method and device Download PDFInfo
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Abstract
The invention relates to the technical field of concrete detection, in particular to a near infrared light-based concrete aggregate moisture content rapid measurement method and device, which are used for measuring by the concrete aggregate moisture content rapid measurement device and comprise the following steps: the infrared light emitted by the infrared luminous tube irradiates parallel light to the tested sample material after being processed by the light path component, one part of infrared light is absorbed by the sample, and the other part of infrared light is gathered to the near infrared sensor on the photoelectric conversion plate after being scattered by the concave mirror of the light path component; the near infrared sensor transmits the measuring light to the analysis control and transmission unit after digital processing by the digital processing unit; the analysis control and transmission unit calculates the absorbance of the infrared light by the measured material, selects a linear regression equation corresponding to the measured value from all piecewise linear regression equations according to the measured value of the absorbance, and calculates the water content according to the linear regression equation. The method can rapidly and accurately measure the water content of the concrete aggregate in real time.
Description
Technical Field
The invention relates to the technical field of concrete detection, in particular to a near infrared light-based method and a near infrared light-based device for rapidly measuring the water content of concrete aggregate.
Background
In the concrete mixing production process, the fluctuation of the water content of the fine aggregate is a main cause of fluctuation of the cement ratio of the concrete. The traditional drying method is a laboratory-accepted detection method for the most accurate water content of the fine aggregate, and has the problems of long detection time (more than four hours), delayed result, poor sample representativeness, water content loss in sampling and detection and the like although the accuracy is high, so that the method has difficulty in meeting the requirement of high-quality development of concrete. Along with the improvement of engineering on concrete quality requirements and the transition of modern construction management modes, concrete real-time water content detection technology becomes a focus of research. The real-time measurement has the characteristics of high sampling frequency, short time, small error and the like. For nondestructive testing of the water content of concrete raw materials, the common methods mainly comprise a microwave method, a neutron method, a resistance method and a capacitance method, but the common methods have the limitations of high cost, poor stability, complicated operation and the like. Therefore, in order to realize effective control of the water content of the concrete, a method and a device for rapidly measuring the water content of the concrete aggregate need to be researched, so that the water content detection speed is improved, and meanwhile, the precision is improved to the level available for engineering.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a near-infrared light-based method and a near-infrared light-based device for rapidly measuring the water content of concrete aggregate, which can rapidly and accurately measure the water content of the concrete aggregate in real time.
The technical scheme adopted for solving the technical problems is as follows:
a concrete aggregate moisture content rapid measurement method based on near infrared light calculates the absorbance of a measured material to infrared light through a concrete aggregate moisture content rapid measurement device based on near infrared light, and calculates the moisture content of the measured material according to a relation curve of the moisture content and the near infrared light, specifically comprising the following steps:
Step 1, infrared light with specific wavelength emitted by an infrared luminous tube is processed by a light path component and then irradiates parallel light onto a sample material to be detected, wherein one part of the infrared light is absorbed by the sample, and the other part of the infrared light is scattered and then is gathered into a near infrared sensor on a photoelectric conversion plate through a concave mirror of the light path component;
step 2, the near infrared sensor transmits the measuring light to an analysis control and transmission unit after digital processing through a digital processing unit;
Step 3, the analysis control and transmission unit calculates the absorbance SP (x m) of the measured material to infrared light, a linear regression equation SP (x m)=bm+am(xm-dm) corresponding to the measured value is selected from all piecewise linear regression equations according to the measured value of the absorbance SP (x m), and the water content x m is obtained by converting the equation:
xm=[SP(xm)-bm]/am+dm；
Wherein b m、am、dm is the calibration coefficient of the sample.
Furthermore, the analysis control and transmission unit transmits the measurement data to a computer and upper computer software, so that the water content of the measured object can be rapidly displayed.
Further, in step 3, the method for establishing the piecewise linear regression equation includes:
step A, measuring the water content of a standard pattern of n groups of samples by adopting a drying method;
step B, measuring infrared light absorbance of n groups of samples by adopting a near infrared light-based concrete aggregate moisture content rapid measuring device;
Step C, calibrating a relation curve of the water content and the near infrared rays by using a piecewise linear regression method model to obtain a calibration coefficient of the sample and a piecewise linear regression equation of the calibration coefficient;
and D, calculating to obtain the calibration coefficients corresponding to the concrete aggregates with different particle sizes or colors and a piecewise linear regression equation of the calibration coefficients through the steps A to C.
Further, the piecewise linear regression method model SP is composed of a set of disjoint line segments, and has the following formula:
SP0(x)=b0+a0(x-d0),d0≤x＜d1；
SP1(x)=b1+a1(x-d1),d1≤x＜d2；
SP2(x)=b2+a2(x-d2),d2≤x＜d3；
...
SPn(x)=bn+an(x-dn),dn≤x；
Wherein x is the water content; d i is the segmentation point (i.e. the true value of the water content of the i-th group of tested samples); SP i (x) is the absorbance of infrared light by the i-th group of samples tested; b i、ai、di is the calibration coefficient of the sample; i=0, 1,2, n-1, n;
Each section adopts a greedy algorithm to train a piecewise linear regression method model SP: calculating the slope of each key and the starting point, judging whether the slope is in the current slope range, if the slope exceeds the current slope range, setting the current key as a new starting point, otherwise, updating the current slope range;
The root mean square error RMSE (Root Mean Square Error) of the piecewise linear regression equation represents the difference between the moisture content of the fine aggregate and the actual value, and the more accurate the data is when the RMSE is close to 0, the better the model performance is, wherein the root mean square error R 2 is calculated as follows:
；
；
Where n represents the number of samples, y i represents the true value in the experiment, y 1 represents the predicted value in the experiment, Represents the average of experimental data;
When the root mean square error R 2 of the piecewise linear regression equation is below 0.1, judging that the calibration is finished, and recording and storing the fine aggregate calibration coefficients of the colors and the particle sizes, thereby obtaining the piecewise linear regression equation of the calibration coefficients.
Further, in the step A, n is more than or equal to 3 so as to further improve the measurement accuracy.
Further, step a is performed before step B is performed or step B is performed before step a is performed.
The invention also provides another technical scheme:
The near infrared light-based concrete aggregate moisture content rapid measuring device comprises a near infrared moisture measuring module, wherein the near infrared moisture measuring module comprises a photoelectric conversion plate, an optical path component, an infrared luminous tube, an infrared light source turntable, a rotating shaft, a motor, a light changer, a control processing unit, a digital processing unit and an analysis control and transmission unit; the infrared light source turntable is of a disc structure, the circle center of the infrared light source turntable is connected with the rotating shaft, and a plurality of infrared luminous tubes with different infrared wavelengths are arranged on the infrared light source turntable; each infrared luminous tube is uniformly distributed on the circumference taking the axis of the rotating shaft as a circle; the rotating shaft is connected with a motor of the light changer, and the light changer drives the infrared light source turntable through the motor to realize light source switching of different infrared wavelengths; the light path component is matched with the infrared light emitting tubes, all the infrared light emitting tubes can accurately stop at the unique fixed position of the light source of the light path component after the rotation of the infrared light source turntable is stopped, and the light of the infrared light emitting tubes reaches the tested sample material through the light path component and is reflected and gathered to the photoelectric conversion plate; the photoelectric conversion plate is connected with the digital processing unit and is used for analyzing and processing photoelectric signals converted by the photoelectric conversion plate; the digital processing unit is connected with the analysis control and transmission unit, the analysis control and transmission unit is also connected with the control processing unit, the control processing unit is connected with the light changer, the analysis control and transmission unit collects and analyzes the data of the digital processing unit, and meanwhile, the control processing unit coordinates the light changer to switch different infrared wavelengths for measurement according to the data analysis result.
Further, the rapid water content measuring device also comprises a computer, upper computer software, a lifting device, a sample barrel and a stirring unit of the sample barrel; the analysis control and transmission unit of the near infrared moisture measurement module is connected with the computer and the upper computer software, and realizes data interaction with the computer and the upper computer software; the computer and the upper computer software are connected with a lifting device for controlling the near infrared moisture measuring module and a controller for controlling the stirring unit. The analysis control and transmission unit controls the lifting device to lift the near infrared moisture measurement module, so that the measured sample material is conveniently put into the sample barrel manually, and the stirring unit of the sample barrel is controlled to realize the stirring of the fine aggregate measured material sample.
Furthermore, the rapid water content measuring device is powered by a lithium battery.
Further, walking wheels are arranged at the bottom of the rapid water content measuring device, so that the on-site detection is facilitated.
The invention has the technical effects that:
Compared with the prior art, the method can rapidly and accurately measure the water content of the concrete aggregate in real time, has good representativeness, and can truly reflect the water content of the used fine aggregate. According to the invention, through the infrared light source turntable and the light changer, the measurement is realized by switching light sources with different wavelengths, so that the design, the processing and the installation of the light path component are facilitated, the interchangeability and the consistency of the light source and the light path component are improved, and the purpose of improving the accuracy of the measuring equipment is achieved.
Drawings
FIG. 1 is a schematic diagram of a near infrared moisture measurement module according to the present invention;
Fig. 2 is a schematic structural diagram of a device for rapidly measuring the water content of concrete aggregate based on near infrared light.
In the figure, 1, the measured sample material; 2. a photoelectric conversion plate; 3. an optical path component; 4. an infrared luminous tube; 5. an infrared light source turntable; 6. a rotating shaft; 7. a motor; 8. a light exchanger; 9. a control processing unit; 10. a digital processing unit; 11. an analysis control and transmission unit; 12. computer and upper computer software; 13. operating a button; 14. a lifting device; 15. a sample barrel; 16. stirring shaft and blade; 17. a stirring motor; 18. a controller; 19. a walking wheel; 20. a battery; 21. and a near infrared moisture measurement module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings of the specification.
Example 1:
The embodiment relates to a method for rapidly measuring the moisture content of a concrete aggregate based on near infrared light, which calculates the absorbance of a measured material to infrared light through a rapid measuring device for the moisture content of the concrete aggregate based on near infrared light, and calculates the moisture content of the measured material according to a relation curve of the moisture content and the near infrared light, and specifically comprises the following steps:
In the measurement process, infrared light with specific wavelength emitted by the infrared luminous tube 4 is processed by the light path component 3 and then irradiates parallel light onto the measured sample material 1, wherein one part of the infrared light is absorbed by the sample, and the other part of the infrared light is scattered and then is gathered into a near infrared sensor on the photoelectric conversion plate 2 through a concave mirror of the light path component 3;
step 2, the near infrared sensor transmits the measuring light to an analysis control and transmission unit 11 after digital processing through a digital processing unit 10;
Step 3, the analysis control and transmission unit 11 calculates the absorbance SP (x m) of the measured material to infrared light, selects a linear regression equation SP (x m)=bm+am(xm-dm) corresponding to the measured value from all piecewise linear regression equations according to the measured value of the absorbance SP (x m), and converts the equation to obtain the water content x m:
xm=[SP(xm)-bm]/am+dm；
wherein b m、am、dm is the calibration coefficient of the sample;
and 4, the analysis control and transmission unit 11 transmits the measurement data to the computer and the upper computer software 12, so that the water content of the measured object can be rapidly displayed.
When the water content of the concrete aggregate is measured, the water content of at least 3 groups of standard patterns measured by a laboratory drying method is influenced by the color and the particle size of the measured object, and the water content is calibrated by equipment, and the system automatically calculates the relation curve of the water content of the sample and near infrared rays and stores the relation curve in the equipment. Specifically, a relation curve of the water content and the near infrared ray is calibrated, and a piecewise linear regression equation is established, wherein the piecewise linear regression equation comprises:
Step A, measuring the water content of a standard pattern of n groups of samples by adopting a drying method; n is greater than or equal to 3, such as n=3, 4,5,6,7,8,9,10,11, etc.;
Step B, measuring infrared light absorbance of n groups of samples by adopting the near infrared light-based concrete aggregate moisture content rapid measuring device; the samples with different water contents can absorb infrared light with different intensities, the infrared light which is not absorbed by the samples enters the photoelectric conversion plate 2 through the light path component 3, and the light intensity absorbed by the samples can be obtained by comparing the emitted light intensity with the light intensity of the photoelectric conversion plate 2;
step C, for quantitatively judging the water content, a corresponding relation between a water content true value of a measured sample and the absorbance of the sample is required to be established, and for improving the measurement accuracy, a piecewise linear regression method model is adopted to calibrate a relation curve between the water content and near infrared rays, so that a calibration coefficient of the sample and a piecewise linear regression equation of the calibration coefficient are obtained;
and D, calculating to obtain the calibration coefficients corresponding to the concrete aggregates with different particle sizes or colors and a piecewise linear regression equation of the calibration coefficients according to the step A to the step C, and quantifying the relation between the water content of the fine aggregate and the absorption rate of near infrared light.
Specifically, the piecewise linear regression method model SP is composed of a set of disjoint line segments, and has the following formula:
SP0(x)=b0+a0(x-d0),d0≤x＜d1；
SP1(x)=b1+a1(x-d1),d1≤x＜d2；
SP2(x)=b2+a2(x-d2),d2≤x＜d3；
...
SPn(x)=bn+an(x-dn),dn≤x；
Wherein x is the water content; d i is the segmentation point (i.e. the true value of the water content of the i-th group of tested samples); SP i (x) is the absorbance of infrared light by the i-th group of samples tested; b i、ai、di is the calibration coefficient of the sample; i=0, 1,2, n-1, n;
Each section adopts a greedy algorithm to train a piecewise linear regression method model SP: calculating the slope of each key and the starting point, judging whether the slope is in the current slope range, if the slope exceeds the current slope range, setting the current key as a new starting point, otherwise, updating the current slope range;
The root mean square error RMSE (Root Mean Square Error) of the piecewise linear regression equation represents the difference between the moisture content of the fine aggregate and the actual value, and the closer the RMSE is to 0, the more accurate the data is, the better the model performance, wherein R 2 represents the root mean square error, and the calculation formula is as follows:
；
；
Where n represents the number of samples, y i represents the true value in the experiment, y 1 represents the predicted value in the experiment, Represents the average of experimental data;
In the calibration process, the true water content of the measured sample is known, and if the software algorithm finds that the absorption rate of the infrared light with the wavelength is small in the process of the piecewise linear regression method model SP, the infrared light source turntable 5 is driven by controlling the motor 7 of the light changer 8 to replace the infrared light emitting tube 4, so that the light sources with different infrared wavelengths are replaced until the absorption rate of the sample meets the calibration requirement. Meanwhile, the device for rapidly measuring the water content records the wavelength of the infrared light source used in the calibration process.
When the root mean square error R 2 of the piecewise linear regression equation is below 0.1, the software algorithm determines that the calibration is completed, and the software records and stores the fine aggregate calibration coefficient of the color and the particle size, namely b i、ai、di in the SP (x) equation, wherein i=0, 1,2, n-1, n, so as to obtain the piecewise linear regression equation of the calibration coefficient.
The invention has high measuring speed, the sampling is carried out according to the actual condition of the site, the measurement is carried out at the same time, and the total time from the sample pouring into the sample barrel 15 to the measurement is not more than 2 minutes after the sampling. The problem that the sample is not representative because the water content is possibly changed due to human factors or weather after sampling is avoided because the sample is sent to a central laboratory or a test group after being sampled by the traditional method.
The invention has accurate measurement, and the accuracy is consistent with the drying method according to the calibration coefficient of the fine aggregate of the same batch calibrated by the drying method.
The invention has convenient measurement, can push the near infrared moisture measuring instrument to the site for real-time measurement according to the part to be measured, stores the result after the measurement is finished locally and directly uploads the result to a remote server so as to guide the calculation of the mixing ratio.
The device for rapidly measuring the water content is low in power consumption, energy-saving and environment-friendly, and can realize uniform stirring (the point of enabling a measured sample to be representative) and measurement by adopting a 48W (24V x 2A) lithium battery, the measurement time of each time is not more than 2 minutes, and a high-power (more than two kilowatts) heating device is required to continuously work for more than four hours by a drying method.
Example 2:
as shown in fig. 1, the embodiment relates to a near infrared light-based concrete aggregate water content rapid measurement device, which comprises a near infrared water content measurement module 21, computer and upper computer software 12, a lifting device 14 and a sample barrel 15.
The near infrared moisture measuring module 21 comprises a photoelectric conversion plate 2, an optical path component 3, an infrared luminous tube 4, an infrared light source turntable 5, a rotating shaft 6, a motor 7, a light changer 8, a control processing unit 9, a digital processing unit 10 and an analysis control and transmission unit 11; the infrared light source turntable 5 is in a disc structure, the circle center of the infrared light source turntable 5 is connected with the rotating shaft 6, and a plurality of infrared luminous tubes 4 with different infrared wavelengths, such as 950nm, 1050nm, 1350nm, 1200nm, 1400nm and 1650nm, are arranged on the infrared light source turntable 5; each infrared luminous tube 4 is uniformly distributed on the circumference taking the axis of the rotating shaft 6 as a circle; the rotating shaft 6 is connected with a motor 7 of the light changer 8, and the light changer 8 drives the infrared light source turntable 5 through the motor 7 to realize light source switching of different infrared wavelengths; the light path component 3 is matched with the infrared light emitting tubes 4, all the infrared light emitting tubes 4 can accurately stop at the only fixed position of the light source of the light path component 3 after the rotation of the infrared light source turntable 5 is stopped, and the light of the infrared light emitting tubes 4 reaches the tested sample material 1 through the light path component 3 and is reflected and gathered to the photoelectric conversion plate 2; the photoelectric conversion board 2 is connected with the digital processing unit 10 and is used for analyzing and processing photoelectric signals converted by the photoelectric conversion board 2; the digital processing unit 10 is connected with the analysis control and transmission unit 11, the analysis control and transmission unit 11 is also connected with the control processing unit 9, the control processing unit 9 is connected with the light changer 8, the analysis control and transmission unit 11 collects and analyzes the data of the digital processing unit 10, and meanwhile, the control processing unit 9 coordinates the light changer 8 to switch different infrared wavelengths for measurement according to the data analysis result.
As shown in fig. 2, the analysis control and transmission unit 11 is connected with a computer and a host computer software 12, and is in data interaction with the computer and the host computer software 12, an operation button 13 is arranged on the computer and the host computer software 12, and the operation button 13 is connected with a lifting device 14 for lifting the near infrared moisture measuring module 21. The sample barrel 15 and a stirring unit of the sample barrel 15 are arranged below the near infrared moisture measuring module 21, the stirring unit comprises a stirring shaft, a blade 16 and a stirring motor 17, and the operation button 13 is also connected with a controller 18 for controlling the stirring motor 17. The analysis control and transmission unit 11 controls the stirring unit of the sample barrel 15 to stir the sample of the fine aggregate measured material. The analysis control and transmission unit 11 can also control the lifting device 14 to lift the near infrared moisture measuring module 21, so that the sample material 1 to be measured can be conveniently put into the sample barrel 15 manually. The technical scheme realizes man-machine interaction control of the stirring motor 17 and the lifting device 14 of the stirring unit, and realizes automatic operation.
For the convenience of on-site measurement, the walking wheel 19 is arranged at the bottom of the rapid water content measuring device, and meanwhile, the instrument is powered by the battery 20, so that the measurement is more convenient.
During measurement, the measuring device is first pushed to the part to be measured. The depth of the fine aggregate bin is 10-30 meters, the width is 6-15 meters, the height of the retaining wall is approximately 4 meters, and the fine aggregate storage amount is 1000-2000 tons. Therefore, the water content of the fine aggregate in the same bin can be different from one position to another. In order to make the sample have better representativeness, the upper, middle and lower parts of the feeding part of the forklift in the fine aggregate bin can be sampled. The lifting device 14 is controlled to lift the near-infrared moisture measuring module 21, all fine aggregate samples are poured into the sample barrel 15 of the measuring equipment, the sample barrel 15 is automatically stirred, the upper, middle and lower fine aggregates are uniformly stirred, and the lifting device 14 is controlled to descend the near-infrared moisture measuring module 21. And (3) turning on a computer and an upper computer software 12, selecting a calibration coefficient corresponding to the measured fine aggregate, starting measurement, and recording and uploading a measurement result.
The invention can be used for measuring the moisture content of the fine aggregate at the feeding position of the forklift in the fine aggregate bin in real time, and can realize the rapid and convenient (sampling at any position on site and measuring along with taking) detection of the moisture content of the fine aggregate on the premise of guaranteeing the representativeness and the detection precision of the sample, thereby improving the measurement efficiency, improving the representativeness of the sample and simultaneously uploading the inside of the measurement result storage device to a remote server in real time.
The above embodiments are merely examples of the present invention, and the scope of the present invention is not limited to the above embodiments, and any suitable changes or modifications made by those skilled in the art, which are consistent with the claims of the present invention, shall fall within the scope of the present invention.
Claims (10)
1. The method for rapidly measuring the moisture content of the concrete aggregate based on the near infrared light is characterized by calculating the absorbance of the measured material to the infrared light through a rapid measuring device for the moisture content of the concrete aggregate based on the near infrared light, and calculating the moisture content of the measured material according to a relation curve of the moisture content and the near infrared light, and specifically comprises the following steps:
step 1, infrared light emitted by an infrared luminous tube (4) is processed by a light path component (3) and then irradiates parallel light onto a tested sample material (1), wherein one part of the infrared light is absorbed by a sample, and the other part of the infrared light is scattered and then is gathered into a near infrared sensor on a photoelectric conversion plate (2) through a concave mirror of the light path component (3);
step 2, the near infrared sensor transmits the measuring light to an analysis control and transmission unit (11) after digital processing through a digital processing unit (10);
Step 3, the analysis control and transmission unit (11) calculates the absorbance SP (x m) of the measured material to infrared light, selects a linear regression equation SP (x m)=bm+am(xm-dm) corresponding to the measured value from all piecewise linear regression equations according to the measured value of the absorbance SP (x m), and converts the equation to obtain the water content x m:
xm=[SP(xm)-bm]/am+dm；
Wherein b m、am、dm is the calibration coefficient of the sample.
2. The method for rapidly measuring the water content of the concrete aggregate based on the near infrared light according to claim 1, wherein the analysis control and transmission unit (11) transmits measurement data to a computer and upper computer software (12).
3. The method for rapidly measuring the water content of the near-infrared light-based concrete aggregate according to claim 1, wherein in the step 3, the method for establishing the piecewise linear regression equation comprises the following steps:
step A, measuring the water content of a standard pattern of n groups of samples by adopting a drying method;
step B, measuring infrared light absorbance of n groups of samples by adopting a near infrared light-based concrete aggregate moisture content rapid measuring device;
Step C, calibrating a relation curve of the water content and the near infrared rays by using a piecewise linear regression method model to obtain a calibration coefficient of the sample and a piecewise linear regression equation of the calibration coefficient;
and D, calculating to obtain the calibration coefficients corresponding to the concrete aggregates with different particle sizes or colors and a piecewise linear regression equation of the calibration coefficients through the steps A to C.
4. The method for rapidly measuring the water content of the concrete aggregate based on the near infrared light according to claim 3, wherein the piecewise linear regression method model SP consists of a group of disjoint line segments, and the formula is as follows:
SP0(x)=b0+a0(x-d0),d0≤x＜d1；
SP1(x)=b1+a1(x-d1),d1≤x＜d2；
SP2(x)=b2+a2(x-d2),d2≤x＜d3；
...
SPn(x)=bn+an(x-dn),dn≤x；
Wherein x is the water content; d i is the division point; SP i (x) is the absorbance of infrared light by the i-th group of samples tested; b i、ai、di is the calibration coefficient of the sample; i=0, 1,2, n-1, n;
Training a piecewise linear regression method model SP by adopting a greedy algorithm in each section;
The root mean square error RMSE of the piecewise linear regression equation represents the difference value between the water content of the fine aggregate and the actual value; the calculation formula of the root mean square error R 2 is as follows:
；
；
Where n represents the number of samples, y i represents the true value in the experiment, y 1 represents the predicted value in the experiment, Represents the average of experimental data;
When the root mean square error R 2 of the piecewise linear regression equation is below 0.1, judging that the calibration is finished, and recording and storing the fine aggregate calibration coefficients of the colors and the particle sizes, thereby obtaining the piecewise linear regression equation of the calibration coefficients.
5. The method for rapidly measuring the water content of the near infrared light-based concrete aggregate according to claim 3, wherein in the step A, n is more than or equal to 3.
6. The method for rapidly measuring the water content of the near infrared light-based concrete aggregate according to claim 3, wherein the step A is performed before the step B is performed or the step B is performed before the step A is performed.
7. The near infrared light-based concrete aggregate moisture content rapid measurement method according to any one of claims 3 to 6, wherein the moisture content rapid measurement device comprises a near infrared moisture measurement module (21), wherein the near infrared moisture measurement module (21) comprises a photoelectric conversion plate (2), an optical path component (3), an infrared luminous tube (4), an infrared light source turntable (5), a rotating shaft (6), a motor (7), a light exchanger (8), a control processing unit (9), a digital processing unit (10) and an analysis control and transmission unit (11); the infrared light source turntable (5) is of a disc structure, the circle center of the infrared light source turntable is connected with the rotating shaft (6), and a plurality of infrared luminous tubes (4) with different infrared wavelengths are arranged on the infrared light source turntable (5); each infrared luminous tube (4) is uniformly distributed on the circumference taking the axle center of the rotating shaft (6) as a circle; the rotating shaft (6) is connected with a motor (7) of the light changer (8), and the light changer (8) drives the infrared light source turntable (5) through the motor (7) to realize light source switching of different infrared wavelengths; the light path component (3) is matched with the infrared luminous tube (4), and the light of the infrared luminous tube (4) passes through the light path component (3) to reach the tested sample material (1) and is reflected and gathered to the photoelectric conversion plate (2); the photoelectric conversion plate (2) is connected with the digital processing unit (10) and is used for analyzing and processing photoelectric signals converted by the photoelectric conversion plate (2); the digital processing unit (10) is connected with the analysis control and transmission unit (11), the analysis control and transmission unit (11) is also connected with the control processing unit (9), the control processing unit (9) is connected with the light changer (8), the analysis control and transmission unit (11) collects and analyzes data of the digital processing unit (10), and meanwhile, the control processing unit (9) is coordinated according to a data analysis result to adjust the light changer (8) to switch different infrared wavelengths for measurement.
8. The near infrared light-based concrete aggregate water content rapid measurement method according to claim 7, wherein the water content rapid measurement device further comprises a computer, an upper computer software (12), a lifting device (14), a sample barrel (15) and a stirring unit of the sample barrel (15); the analysis control and transmission unit (11) of the near infrared moisture measurement module (21) is connected with a computer and upper computer software (12); the computer and upper computer software (12) and the lifting device (14) for controlling the near infrared moisture measuring module (21) and the controller (18) for controlling the stirring unit.
9. The near infrared light-based concrete aggregate moisture content rapid measurement method according to claim 8, wherein the moisture content rapid measurement device is powered by a lithium battery (20).
10. The near infrared light-based concrete aggregate moisture content rapid measurement method according to claim 7, wherein a travelling wheel (19) is arranged at the bottom of the moisture content rapid measurement device.
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