A multifunctional road asphalt layer quality detection device

Abstract

The present invention relates to the technical field of thickness measurement, and in particular to a multifunctional road asphalt layer quality detection device. The present invention determines the road surface flatness on a route to be measured of an asphalt road surface by the stability of all ground distance data; and based on the principle of ultrasonic emission and reflection, the road surface thickness of the route to be measured is determined in combination with the amplitude change of high-frequency ultrasonic waveform data and the ultrasonic velocity; finally, the corresponding temperature anomaly is determined according to the deviation of the overall size of temperature data on the route to be measured relative to the standard temperature; finally, according to the characteristics that an asphalt road surface with higher road acceptance quality has higher flatness, higher thickness and temperature close to the standard temperature, the corresponding more accurate road acceptance quality is determined in combination with the temperature anomaly, the road surface flatness and the road surface thickness, so that the accuracy and efficiency of quality detection of asphalt concrete are higher.

Description

Technical Field

[0001] The invention relates to the technical field of thickness measurement, and in particular to a multifunctional road surface asphalt layer quality detection device. Background Art

[0002] Asphalt concrete is a mixture that flows at high temperatures and hardens at low temperatures. It has good ductility and plasticity at high temperatures. As the temperature decreases, its strength and stiffness increase, and eventually a dense road surface with a rough surface is formed. Therefore, temperature is an important control indicator for the construction of asphalt concrete pavement. In terms of the performance of asphalt roads, the most important indicator is the thickness of the asphalt surface layer, which directly determines the bearing capacity and service life of the asphalt pavement and is the main control item for quality acceptance. At the same time, in order to verify the virtual-real ratio of asphalt concrete, it is also necessary to measure the thickness of asphalt concrete during paving. Therefore, in the process of asphalt paving, the measurement of asphalt thickness is also an indispensable task. The flatness of asphalt pavement is related to the driving quality and driving safety of asphalt pavement, and it is also a requirement for drainage of asphalt roads. Therefore, the detection of the flatness of asphalt pavement is also an indispensable detection indicator. Therefore, when conducting quality inspection on asphalt concrete, it is necessary to detect at least three indicators: pavement temperature, pavement thickness, and pavement flatness.

[0003] The existing technology usually detects the corresponding indicators through separate devices, resulting in the need for three devices to detect the three indicators of road surface temperature, road surface thickness and road surface flatness, which affects the efficiency of collection. In addition, it is difficult to perform synchronous collection, resulting in the possibility of inaccuracy in the collected data, making the accuracy and efficiency of asphalt concrete quality inspection low. Summary of the invention

[0004] In order to solve the technical problem that the detection of the three indicators of road surface temperature, road surface thickness and road surface flatness requires three devices, which affects the efficiency of collection, and it is difficult to perform synchronous collection, resulting in the possibility of inaccuracy in the collected data, making the accuracy and efficiency of asphalt concrete quality detection low, the purpose of this application is to provide a multifunctional road asphalt layer quality detection device, and the technical solution adopted is as follows:

[0005] The present application provides a multifunctional road asphalt layer quality detection device, including a flat plate, a slide rail module, a temperature acquisition module, an ultrasonic device and a data processing module; the slide rail module includes a pull rope, a winding motor, an articulated frame, a slide rail and a slide rod, the winding motor is installed on the flat plate, the winding motor is connected to one end of the slide rail through a pull rope, and the winding motor can adjust the length of the pull rope, the other end of the slide rail is connected to the flat plate through an articulated frame, the slide rod is inside the slide rail and can move on the track of the slide rail; the ultrasonic device is installed on the end of the slide rail away from the articulated frame; the temperature acquisition module includes a rotating rod, a driving slide rail, a connecting rod, a probe slide rail, a probe and a thermocouple thermometer, the probe slide rail, the driving The slide rail and the rotary rod are both installed on the flat plate, the probe passes through the flat plate and the lower end of the probe is located below the flat plate, the thermocouple thermometer is installed at the lower end of the probe, the probe slide rail is used to control the up and down sliding of the probe, one side of the connecting rod is connected to the probe, and the other side is connected to the driving slide rail and the rotary rod, the rotary rod and the driving slide rail are used together to assist the probe to extend and rise; the ultrasonic device collects high-frequency ultrasonic waveform data through a high-frequency mode, and the ultrasonic device collects ground distance data through a low-frequency mode; the thermocouple thermometer is used to collect temperature data; the ultrasonic device and the thermocouple thermometer are both connected to the data processing module through signals; the high-frequency ultrasonic waveform data, all temperature data and all ground distance data corresponding to the asphalt pavement on the route to be measured are obtained through the data processing module;

[0006] Determine the road surface flatness of the route to be measured based on the stability of all ground distance data along the route to be measured; determine the road surface thickness corresponding to the route to be measured based on the amplitude change of the high-frequency ultrasonic waveform data and the ultrasonic velocity; determine the temperature anomaly corresponding to the route to be measured based on the standard deviation corresponding to the overall size of all temperature data;

[0007] The road acceptance quality of the route to be measured is determined according to the temperature anomaly, the road surface flatness and the road surface thickness.

[0008] Furthermore, the process of obtaining the road surface flatness includes:

[0009] Arranging all ground distance data in the measurement order along the route to be measured to obtain a corresponding ground distance sequence;

[0010] Performing STL time series decomposition on the ground distance series to obtain a trend item data series after removing seasonality and residuals;

[0011] The road surface flatness of the route to be measured is determined according to the fluctuation stability of the trend item data in the trend item data sequence.

[0012] Furthermore, determining the road surface flatness of the route to be measured according to the fluctuation stability of the trend item data in the trend item data sequence includes:

[0013] In the trend item data sequence, the difference between each trend item data and the previous trend item data is used as the trend change value of each trend item data; the average of the trend change values ​​of all trend item data in the trend item data sequence is used as the local trend change value;

[0014] Determine the overall trend change value according to the overall fluctuation of all trend item data in the trend item data sequence;

[0015] The product of the local trend change value and the overall trend change value is negatively normalized to obtain the road surface flatness of the route to be measured.

[0016] Furthermore, the process of obtaining the overall trend change value includes:

[0017] The variance of all trend item data in the trend item data sequence is taken as the overall trend change value.

[0018] Furthermore, the process of obtaining the road surface thickness includes:

[0019] On the high-frequency ultrasonic waveform data, the time when the ultrasonic device transmits data at each collection point on the route to be measured is used as the transmission time;

[0020] The range of all amplitude data between each extreme point and the previous extreme point on the high-frequency ultrasonic waveform data is used as the vibration amplitude of each extreme point;

[0021] According to the distribution of vibration amplitudes of all extreme points between each emission moment and the next emission moment, the reflection extreme point corresponding to each emission moment is screened out; the moment at which the emission extreme point corresponding to each emission moment is located is used as the reflection moment corresponding to each emission moment;

[0022] The time difference between the emission time and the corresponding reflection time of each collection point is used as the reflection time delay of each collection point; the collection thickness of each collection point is determined according to the ground distance data of each collection point, the reflection time delay and the ultrasonic velocity of the ultrasonic device;

[0023] The average of the road surface thickness of all the collected points is taken as the road surface thickness corresponding to the route to be measured.

[0024] Furthermore, the process of obtaining the reflection extreme value point includes:

[0025] The vibration amplitude of the extreme point closest to each emission moment is used as the emission data amplitude at each emission moment; the difference between the vibration amplitude of each extreme point and the emission data amplitude at the closest emission moment before it is used as the amplitude difference reference value of each extreme point; among all the extreme points between each emission moment and the next emission moment, the extreme point corresponding to the largest amplitude difference reference value is used as the reflection extreme point corresponding to each emission moment.

[0026] Furthermore, the acquisition process of the collected thickness includes:

[0027] The ground distance data of the corresponding collection point is subtracted from half of the product of the reflection time delay and the ultrasonic velocity of the ultrasonic device to obtain the collection thickness of each collection point.

[0028] Furthermore, the process of obtaining the temperature anomaly degree includes:

[0029] Determine the collection temperature of each collection point through the temperature collection module on the probe;

[0030] Taking each collection point on the route to be measured as a target point in turn; taking other collection points other than the target point as reference points; and determining the temperature dispersion degree of the target point according to the overall difference in the collection temperature between the target point and the corresponding reference points;

[0031] The temperature dispersion of all the collection points is counted; the temperature anomaly corresponding to the route to be measured is determined by the difference between the mean of all the temperature data corresponding to all the collection points whose temperature dispersion is less than the preset discrete threshold and the preset road surface standard temperature.

[0032] Furthermore, the process of obtaining the temperature dispersion degree includes:

[0033] The difference between the collected temperature of the target point and the collected temperature of each corresponding reference point is taken as the reference temperature difference of each reference point; the normalized value of the mean of the reference temperature differences of all reference points corresponding to the target point is taken as the temperature dispersion degree of the target point.

[0034] Furthermore, the process of obtaining the road acceptance quality includes:

[0035] The product of the negative correlation mapping value of the temperature anomaly, the road surface flatness and the road surface thickness is normalized to determine the road acceptance quality of the route to be measured.

[0036] This application has the following beneficial effects:

[0037] The present application collects temperature data through a thermocouple thermometer installed under the probe in a multifunctional pavement asphalt layer quality detection device, collects high-frequency ultrasonic waveform data and low-frequency corresponding ground distance data through an ultrasonic device in different frequency modes, and determines the pavement flatness on the asphalt pavement route to be measured through the stability of all ground distance data; and based on the principle of ultrasonic emission and reflection, combined with the amplitude change of high-frequency ultrasonic waveform data and ultrasonic velocity, determines the pavement thickness of the route to be measured; finally, according to the deviation of the overall size of the temperature data on the route to be measured relative to the standard temperature, determines the corresponding temperature anomaly; finally, according to the characteristics of asphalt pavements with higher road acceptance quality, which have higher flatness, higher thickness and temperature close to the standard temperature, combined with temperature anomaly, pavement flatness and pavement thickness, determines the corresponding more accurate road acceptance quality, and the present application collects three indicators of temperature, flatness and thickness at the same time through a multifunctional pavement asphalt layer quality detection device, so the corresponding detection efficiency is higher; that is, the accuracy and efficiency of asphalt concrete quality detection by a multifunctional pavement asphalt layer quality detection device provided by the present application are higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of a first axial side view of an ultrasonic device of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention before use;

[0040] Figure 2 A schematic diagram of a second axis side of an ultrasonic device of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention before use;

[0041] Figure 3 A schematic diagram of a first axis side view of an ultrasonic device of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention when in use;

[0042] Figure 4 A schematic diagram of a second axis side of an ultrasonic device of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention when in use;

[0043] Figure 5 A schematic diagram of a data processing process of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention;

[0044] In the figure, 1-steering wheel; 2-flat plate; 3-handrail; 4-probe slide rail; 16-rotating rod; 17-driving slide rail; 18-connecting rod; 24-probe; 241-thermocouple thermometer; 25-articulated frame; 26-slide rail; 27-slide rod; 28-ultrasonic device; 29-pull rope; 30-winding motor; 31-battery; 32-control module; 33-driving motor; 34-driving belt; 35-driving wheel. DETAILED DESCRIPTION

[0045] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, characteristics and effects of a multifunctional road asphalt layer quality detection device proposed according to the present invention, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0046] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0047] The specific scheme of a multifunctional road asphalt layer quality detection device provided by the present invention is described in detail below with reference to the accompanying drawings.

[0048] The present application provides a multifunctional road asphalt layer quality detection device, including a driving module, a handrail 3, a flat plate 2, a slide rail module, a temperature acquisition module, an ultrasonic device 28 and a data processing module; wherein the driving module includes a steering wheel 1, a battery 31, a control module 32, a driving motor 33, a driving belt 34, and a driving wheel 35. The steering wheel 1 and the driving wheel 35 are both installed below the flat plate 2 and located on both sides, the driving motor 33, the battery 31 and the control module 32 are all installed above the flat plate 2 and located on a side close to the driving wheel 35. The battery 31 is used to provide power to the driving motor 33, and the driving belt 34 connects the driving motor 33 and the driving wheel 35, so that the driving motor 33 can provide driving power for the driving wheel 35; the control module 32 is used to control the start and stop of the driving of the driving wheel 35; the handrail 3 is used to manually control the direction of the multifunctional road asphalt layer quality detection device to prevent unexpected situations such as insufficient power; the slide rail module includes a pull rope 29, a winding motor 30, an articulated frame 25, The slide rail 26 and the slide bar 27, the winding motor 30 are installed on the flat plate 2, the winding motor 30 is connected to one end of the slide rail 26 through the pull rope 29, and the winding motor 30 can adjust the length of the pull rope 29, the other end of the slide rail 26 is connected to the flat plate 2 through the hinge frame 25, the slide bar 27 is inside the slide rail 26 and can move on the track of the slide rail 26; the ultrasonic device 28 is installed on the end of the slide rail away from the hinge frame; the temperature acquisition module includes a rotating rod 16, a driving slide rail 17, a connecting rod 18, a probe The needle slide 4, the probe 24 and the thermocouple thermometer 241, the probe slide 4, the driving slide 17 and the rotating rod 16 are all installed on the flat plate 2, the probe 24 passes through the flat plate 2 and the lower end of the probe 24 is located below the flat plate 2, the thermocouple thermometer 241 is installed at the lower end of the probe 24, the probe slide 4 is used to control the up and down sliding of the probe 24, one side of the connecting rod 18 is connected to the probe 24, and the other side is connected to the driving slide 17 and the rotating rod 16, the rotating rod 16 and the driving slide 17 are used together to assist the probe to extend and rise. The ultrasonic device 28 collects high-frequency ultrasonic waveform data through a high-frequency mode, and the ultrasonic device 28 collects ground distance data through a low-frequency mode; the thermocouple thermometer 241 is used to collect temperature data; the ultrasonic device 28 and the thermocouple thermometer 241 are both signal-connected to a data processing module, and the data processing module can be a data processing chip such as a CPU, MCU, or a data processing device such as a computer host; the corresponding output ends of the ultrasonic device 28 and the thermocouple thermometer 241 are connected to the input end of the data processing module, and can be connected by wire through a data transmission line, or by wireless communication methods such as Bluetooth and WiFi.

[0049] See also Figure 1 , which shows a first axial side schematic diagram of an ultrasonic device 28 of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention before use, Figure 1In the figure, before the ultrasonic device 28 is used, the slide bar 27 is perpendicular to the plate 2 due to the pulling force of the pull rope 29, which is the standby state of the ultrasonic device 28; please refer to Figure 2 , which shows a second axial side schematic diagram of an ultrasonic device 28 of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention before use; combined with Figure 1 and Figure 2 This allows for a clearer understanding of the multifunctional road asphalt layer quality detection device before using the ultrasonic device 28. When using the ultrasonic device 28, the length of the pull rope 29 is extended by the winding motor 30, thereby adjusting the angle between the slide bar 27 and the flat plate 2; when the length of the pull rope 29 is extended to make the slide bar 27 parallel to the flat plate 2, data can be collected by the ultrasonic device 28. Figure 3 , which shows a first axial side schematic diagram of an ultrasonic device 28 of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention when in use. When the ultrasonic device 28 is in use, the slide bar 27 is parallel to the flat plate 2, and the ultrasonic device 28 sends ultrasonic waves to the ground to collect high-frequency ultrasonic shape data and ground distance data. Considering that temperature data also needs to be collected when collecting high-frequency ultrasonic shape data and ground distance data, please refer to Figure 4 , which shows a second axis side schematic diagram of an ultrasonic device 28 of a multifunctional pavement asphalt layer quality detection device provided by an embodiment of the present invention when in use, a thermocouple thermometer 241 is installed at the lower end of the probe 24, and the driving device makes the probe collect temperature data after being above each corresponding collection point, thereby obtaining the temperature data of each collection point.

[0050] Then, on the asphalt pavement route to be measured, a multifunctional road asphalt layer quality detection device is used to collect high-frequency ultrasonic waveform data, temperature data and ground distance data, and the road acceptance quality of the route to be measured is determined according to a predetermined data processing process; please refer to Figure 5 , which shows a schematic flow chart of a data processing process of a multifunctional road asphalt layer quality detection device provided by an embodiment of the present invention, comprising the following steps:

[0051] Step S501: obtaining high-frequency ultrasonic waveform data, all temperature data and all ground distance data corresponding to the asphalt pavement on the route to be measured through the data processing module.

[0052] In a specific implementation of the embodiment of the present invention, the route to be measured is set to 30 meters, and at least two collection points are pre-distributed evenly on the route to be measured, and the multifunctional road asphalt layer quality detection device of the present application is controlled to pass through each collection point in turn. The number of collection points in the embodiment of the present invention is set to 30, which can be adjusted by itself; considering the detection principle of ultrasonic waves, by emitting ultrasonic pulses and then receiving the sound waves reflected from the surface of the target object, the distance is calculated by measuring the time of the sound waves to and from; the thickness measurement mode requires a higher frequency and stronger penetration ability, and the distance measurement mode requires a lower frequency; considering that the thickness measurement mode is more susceptible to interference when measuring thickness under high frequency conditions, the embodiment of the present invention uses an ultrasonic device to collect the ground distance data of each collection point through a low-frequency model, and collects the continuous high-frequency ultrasonic waveform data corresponding to the entire collection process through a high-frequency mode, and screens out more accurate reflected ultrasonic waves according to the amplitude changes in the overall high-frequency ultrasonic data, so as to perform more accurate thickness measurement. It should be noted that the method of measuring the ground distance by ultrasonic waves is a prior art well known to those skilled in the art, and is not further defined or elaborated here. And when collecting data at each collection point, it stays for at least 1s to ensure that the ultrasonic waves returned in the thickness measurement mode can be received. When collecting the temperature data of each collection point, the length of the probe 24 is controlled so that the thermocouple thermometer 241 is inserted into the asphalt layer, thereby measuring the temperature data of each collection point with the help of the thermocouple thermometer 241, and the asphalt layer is pulled out after the measurement.

[0053] In addition, it should be noted that when the route to be measured is designed to be a horizontal road surface, a tilt sensor is installed on the slide rail 26, and the length of the pull rope 29 is controlled by the winding motor 30, so that the slide rail is always parallel to the horizontal plane, reducing the error influence on the ground distance data collection when the trolley is tilted;

[0054] Step S502: Determine the road surface flatness of the route to be measured based on the stability of changes in all ground distance data along the route to be measured; determine the road surface thickness corresponding to the route to be measured based on the amplitude changes of the high-frequency ultrasonic waveform data and the ultrasonic velocity; determine the temperature anomaly corresponding to the route to be measured based on the standard deviation corresponding to the overall size of all temperature data.

[0055] For the route to be measured, the better the road acceptance quality of the corresponding asphalt pavement, the smoother the corresponding road surface, and the more consistent the collected ground distance should be. Therefore, the road surface smoothness of the route to be measured is determined as a whole based on the stability of the changes in all ground distance data along the route to be measured, so that the greater the road surface flatness, the better the corresponding road acceptance quality. In terms of pavement thickness, the thickness of the pavement usually directly determines the quality of road acceptance. Since the present application uses an ultrasonic device for non-destructive thickness detection, and according to the characteristics of the ultrasonic wave reflected back in the thickness measurement mode, the amplitude of the reflected waveform is larger than the amplitude of the transmitted waveform. Therefore, after determining the time corresponding to the transmitted data according to the amplitude change, the pavement thickness can be determined according to the time delay between the transmission time and the reflection time and the ultrasonic wave speed. The greater the pavement thickness, the better the corresponding road acceptance quality. In terms of temperature, asphalt concrete is a mixture with the characteristics of high-temperature flow and low-temperature hardening. It has good ductility and plasticity at high temperatures. As the temperature decreases, the strength and stiffness increase and gradually approach the standard temperature. Therefore, the greater the deviation of the overall size of the collected temperature data from the standard temperature, the higher the corresponding temperature abnormality, and the worse the corresponding road acceptance quality.

[0056] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the road surface flatness includes:

[0057] The corresponding ground distance sequence is obtained by arranging all ground distance data along the measurement order of the route to be measured, that is, the ground distance data collected at all collection points are arranged in the order of collection to obtain the ground distance sequence.

[0058] The ground distance series is subjected to STL time series decomposition to obtain a trend item data series after removing seasonality and residuals. Only the trend item data after STL time series decomposition is retained to reduce the influence of noise on the obtained ground distance data. It should be noted that STL time series decomposition is a technical means well known to those skilled in the art and will not be further defined or elaborated herein.

[0059] The road surface roughness of the route to be measured is determined according to the fluctuation stability of the trend item data in the trend item data sequence. The trend item data is equivalent to the ground distance data after noise removal. The more consistent the corresponding ground distance data is, that is, the more stable it is, the higher the corresponding road surface roughness should be.

[0060] Preferably, in some possible implementations of the embodiments of the present invention, determining the road surface flatness of the route to be measured according to the fluctuation stability of the trend item data in the trend item data sequence includes:

[0061] In the trend item data sequence, the difference between each trend item data and the previous trend item data is taken as the trend change value of each trend item data; the average of the trend change values ​​of all trend item data in the trend item data sequence is taken as the local trend change value. For each trend item data, the larger the corresponding trend change value is, the larger the change of the corresponding ground distance is in the local range. Therefore, the larger the local trend change value obtained by the average of the trend change values ​​of all trend item data is, the more drastic the local change of the ground distance is, and the smaller the corresponding road surface flatness is.

[0062] After analyzing the road surface smoothness from the perspective of local changes, the overall trend change value is further determined from the overall perspective based on the overall fluctuation of all trend item data in the trend item data sequence.

[0063] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the overall trend change value includes: taking the variance of all trend item data in the trend item data sequence as the overall trend change value. The variance can characterize the overall discreteness or disorder of a set of data. Therefore, when the overall trend change value is larger, the overall change of the corresponding ground distance is more drastic, and the corresponding road surface flatness is smaller. In other specific implementations of the embodiments of the present invention, the overall trend change value can also be calculated by replacing the variance with data entropy that characterizes the disorder degree, which will not be further elaborated here.

[0064] Therefore, both the local trend change value and the overall trend change value are negatively correlated with the road surface smoothness; further, the product of the local trend change value and the overall trend change value is negatively correlated and normalized to obtain the road surface smoothness of the route to be measured.

[0065] In a specific implementation of the embodiment of the present invention, the process of obtaining the road surface flatness is expressed by the formula: ;in, is the road surface flatness of the route to be measured; is the variance of all trend item data in the trend item data sequence corresponding to the route to be measured, that is, the overall trend change value; is the number of trend item data in the trend item data sequence corresponding to the route to be measured, that is, the number of collection points; is the number in the trend item data sequence corresponding to the route to be measured. Trend item data; is the number in the trend item data sequence corresponding to the route to be measured. Trend item data; is the number of trend item data sequences corresponding to the route to be measured. The trend change value of the trend item data; is the local trend change value; It is a linear normalization function. The implementer can adjust the normalization method according to the specific implementation environment.

[0066] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the road surface thickness includes:

[0067] In the high-frequency ultrasonic waveform data, the moment when the ultrasonic device transmits data at each collection point on the route to be measured is used as the emission moment; the range of all amplitude data between each extreme point and the previous extreme point on the high-frequency ultrasonic waveform data is used as the vibration amplitude of each extreme point; ultrasonic data is a vibration wave, and the amplitude is usually composed of two extreme points. Therefore, the vibration amplitude of the vibration data corresponding to each extreme point can be determined by the range of amplitude data between adjacent extreme points.

[0068] Considering that the amplitude of the data reflected back after passing through the asphalt area is usually large, based on this feature, the reflection extreme point corresponding to each emission moment is screened out according to the distribution of the vibration amplitude of all extreme points between each emission moment and the next emission moment.

[0069] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the reflection extreme value point includes:

[0070] The vibration amplitude of the extreme point closest to each emission moment is used as the amplitude of the emission data at each emission moment; the difference between the vibration amplitude of each extreme point and the amplitude of the emission data at the emission moment closest to it before is used as the amplitude difference reference value of each extreme point; among all the extreme points between each emission moment and the next emission moment, the extreme point corresponding to the largest amplitude difference reference value is used as the reflection extreme point corresponding to each emission moment. According to the principle of ultrasonic distance measurement, after the data is emitted at each emission moment, the vibration wave passes through the asphalt layer and then reflects back to the ultrasonic device to obtain the reflection data. Therefore, the extreme point corresponding to the reflection data must be after the corresponding emission moment, and combined with the specific implementation environment of the embodiment of the present invention, it must also be located before the next emission moment of its corresponding emission moment; therefore, the difference between the vibration amplitude of each extreme point and the amplitude of the emission data at the emission moment closest to it before is calculated; and the vibration amplitude corresponding to the reflection moment is relatively larger, so the extreme point corresponding to the largest amplitude difference reference value is selected as the reflection extreme point corresponding to each emission moment, that is, the extreme point corresponding to the reflection data returning to the ultrasonic device.

[0071] Further, according to the principle of ultrasonic distance measurement, the time at which the emission extreme point corresponding to each emission moment is located is taken as the reflection moment corresponding to each emission moment; the greater the time difference between the emission moment and the corresponding reflection moment, the longer the time it takes for the ultrasonic wave to return after being emitted, and the greater the thickness of the corresponding asphalt layer;

[0072] The time difference between the emission moment and the corresponding reflection moment of each collection point is further taken as the reflection time delay of each collection point. Based on the relationship between speed, time and distance, the collection thickness of each collection point is finally determined according to the ground distance data of each collection point, the reflection time delay and the ultrasonic speed of the ultrasonic device.

[0073] Preferably, in some possible implementations of the embodiments of the present invention, the process of acquiring the sample thickness includes:

[0074] After the ultrasonic wave is emitted by the ultrasonic device, it passes through the asphalt layer and then reflects back to the ultrasonic device. During this period, the ultrasonic wave is equivalent to passing through the asphalt layer twice and the ground distance data between the ultrasonic device and the surface of the asphalt layer. Therefore, half of the product of the reflection time delay and the ultrasonic speed of the ultrasonic device is subtracted from the ground distance data of the corresponding collection point to obtain the collection thickness of each collection point.

[0075] In a specific implementation of the embodiment of the present invention, the acquisition process of the sample thickness is expressed by the formula: ;in, For the The collection thickness of each collection point; is the ultrasonic velocity, which is related to the ultrasonic device and is a priori acquired data; For the The emission time delay corresponding to each collection point; For the The ground distance data corresponding to each collection point.

[0076] The pavement thickness of the route to be measured is further evaluated from an overall perspective, and the average pavement thickness of all collected points is taken as the pavement thickness corresponding to the route to be measured; the larger the corresponding pavement thickness, the better the road acceptance quality of the route to be measured in terms of asphalt layer thickness.

[0077] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the temperature anomaly degree includes:

[0078] The temperature collection module on the probe is used to determine the collection temperature of each collection point. Furthermore, considering that the measured temperature data may be affected by noise and cause anomalies, and the abnormal temperature data has a greater impact on the evaluation of the measurement route, the abnormal temperature data is screened out based on the fact that the temperature between the data on the same route usually does not have too large a deviation and the discrete characteristics of noise data.

[0079] Each collection point on the route to be measured is taken as a target point in turn; other collection points other than the target point are taken as reference points; and the temperature dispersion degree of the target point is determined according to the overall difference in the collection temperature between the target point and the corresponding reference points. Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the temperature dispersion degree includes:

[0080] The difference between the collected temperature of the target point and the collected temperature of each corresponding reference point is taken as the reference temperature difference of each reference point; the normalized value of the mean of the reference temperature differences of all reference points corresponding to the target point is taken as the temperature dispersion degree of the target point. For the target point, that is, each collection point, the greater the deviation of its corresponding temperature data relative to the temperature data of other collection points, the more discrete the temperature data of the collection point is, and the more likely it is to be noise data, so it needs to be screened out.

[0081] In some possible implementations of the embodiments of the present invention, the process of obtaining the temperature dispersion degree is expressed by the formula: ;in, For the The temperature dispersion of each sampling point; For the The number of collection points outside the collection points; For the Temperature data of each collection point; For the The first Temperature data of each collection point; For the The first The reference temperature difference of each collection point; It is a linear normalization function. The implementer can adjust the normalization method according to the specific implementation environment.

[0082] Further statistics are made on the temperature dispersion of all the collection points; the difference between the mean of all the temperature data corresponding to all the collection points whose temperature dispersion is less than the preset discrete threshold and the preset road surface standard temperature is used to determine the temperature anomaly corresponding to the route to be measured. In a specific implementation of an embodiment of the present invention, the preset discrete threshold is set to 0.83, which can be adjusted at will; the temperature data of the collection points whose temperature dispersion is greater than the preset discrete threshold is filtered out as noise data, and the overall temperature of the route to be measured can be determined according to the overall size of the temperature data of all other collection points whose temperature dispersion is less than the preset discrete threshold; and then the difference between the overall temperature and the preset road surface standard temperature representing the standard temperature is calculated to obtain the temperature anomaly of the route to be measured, that is, the closer the overall temperature is to the standard, the smaller the corresponding temperature anomaly is, that is, the better the road acceptance quality in the temperature dimension is. In a specific implementation of an embodiment of the present invention, the ambient temperature is measured in advance as the preset road surface standard temperature, which can be set at will, and no further details are given here.

[0083] Step S503: Determine the road acceptance quality of the route to be measured based on the temperature anomaly, road surface flatness and road surface thickness.

[0084] Considering that this application needs to conduct asphalt concrete quality inspection based on three indicators: road surface temperature, road surface thickness and road surface flatness, the road acceptance quality of the route to be tested is determined by combining the temperature abnormality, road surface flatness and road surface thickness that can characterize the road acceptance quality.

[0085] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the road acceptance quality includes:

[0086] Since the smaller the temperature anomaly, the greater the road surface flatness, and the greater the road surface thickness, the better the corresponding road acceptance quality, the temperature anomaly is negatively correlated with the road acceptance quality, and the road surface flatness and road surface thickness are both positively correlated with the road acceptance quality. In the embodiment of the present invention, the product of the negative correlation mapping value of the temperature anomaly, the road surface flatness, and the road surface thickness is normalized to determine the road acceptance quality of the route to be measured.

[0087] In a specific implementation of the embodiment of the present invention, the process of obtaining the road acceptance quality is expressed by the formula: ;in, Check the quality of the road for the route to be measured; is the temperature anomaly of the route to be measured; is the road surface flatness of the route to be measured; is the road surface thickness of the route to be measured; is an exponential function with a natural constant as the base. Implementers can adopt other negative correlation mapping methods according to the specific implementation environment, such as , and the reciprocal, where is the hyperbolic tangent function, which will not be further described here; It is a linear normalization function. The implementer can adjust the normalization method according to the specific implementation environment.

[0088] After obtaining the road acceptance quality, since the corresponding value range of the road acceptance quality after normalization is 0 to 1, a threshold can be set to divide the road acceptance quality. The embodiment of the present invention sets the quality threshold to 0.73, and the routes to be measured whose road acceptance quality is greater than the quality threshold are regarded as routes with qualified acceptance quality, and the rest are regarded as routes with unqualified acceptance quality.

[0089] In summary, the present application collects temperature data through a thermocouple thermometer installed under the probe in the multifunctional pavement asphalt layer quality detection device, collects high-frequency ultrasonic waveform data and low-frequency corresponding ground distance data through an ultrasonic device in different frequency modes, and determines the pavement flatness on the route to be measured of the asphalt pavement through the stability of all ground distance data; and based on the principle of ultrasonic emission and reflection, combined with the amplitude change of high-frequency ultrasonic waveform data and the ultrasonic velocity, determines the pavement thickness of the route to be measured; finally, according to the deviation of the overall size of the temperature data on the route to be measured relative to the standard temperature, determines the corresponding temperature anomaly; finally, according to the characteristics of the asphalt pavement with higher road acceptance quality, the flatness is higher, the thickness is higher and the temperature is close to the standard temperature, combined with the temperature anomaly, the pavement flatness and the pavement thickness, determines the corresponding more accurate road acceptance quality, and the present application collects the three indicators of temperature, flatness and thickness at the same time through the multifunctional pavement asphalt layer quality detection device, so the corresponding detection efficiency is higher; that is, the accuracy and efficiency of asphalt concrete quality detection by a multifunctional pavement asphalt layer quality detection device provided by the present application are higher.

[0090] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A multifunctional road asphalt layer quality detection device, characterized in that: It includes a flat plate, a slide rail module, a temperature acquisition module, an ultrasonic device and a data processing module; the slide rail module includes a pull rope, a winding motor, a hinged frame, a slide rail and a slide rod, the winding motor is installed on the flat plate, the winding motor is connected to one end of the slide rail through a pull rope, and the winding motor can adjust the length of the pull rope, the other end of the slide rail is connected to the flat plate through a hinged frame, the slide rod is inside the slide rail and can move on the track of the slide rail; the ultrasonic device is installed on the end of the slide rail away from the hinged frame; the temperature acquisition module includes a rotary rod, a driving slide rail, a connecting rod, a probe slide rail, a probe and a thermocouple thermometer, and the probe slide rail, the driving slide rail and the rotary rod are all installed on the flat plate , the probe passes through the flat plate and the lower end of the probe is located below the flat plate, the thermocouple thermometer is installed at the lower end of the probe, the probe slide rail is used to control the up and down sliding of the probe, one side of the connecting rod is connected to the probe, and the other side is connected to the driving slide rail and the rotating rod, the rotating rod and the driving slide rail are used together to assist the probe to extend and rise; the ultrasonic device collects high-frequency ultrasonic waveform data through a high-frequency mode, and the ultrasonic device collects ground distance data through a low-frequency mode; the thermocouple thermometer is used to collect temperature data; the ultrasonic device and the thermocouple thermometer are both connected to the data processing module through signals; the high-frequency ultrasonic waveform data, all temperature data and all ground distance data corresponding to the asphalt pavement on the measured route are obtained through the data processing module; Determine the road surface flatness of the route to be measured based on the stability of all ground distance data along the route to be measured; determine the road surface thickness corresponding to the route to be measured based on the amplitude change of the high-frequency ultrasonic waveform data and the ultrasonic velocity; determine the temperature anomaly corresponding to the route to be measured based on the standard deviation corresponding to the overall size of all temperature data; The road acceptance quality of the route to be measured is determined according to the temperature anomaly, the road surface flatness and the road surface thickness.

2. A multifunctional road asphalt layer quality detection device according to claim 1, characterized in that: The process of obtaining the road surface flatness includes: Arranging all ground distance data in the measurement order along the route to be measured to obtain a corresponding ground distance sequence; Performing STL time series decomposition on the ground distance series to obtain a trend item data series after removing seasonality and residuals; The road surface flatness of the route to be measured is determined according to the fluctuation stability of the trend item data in the trend item data sequence.

3. A multifunctional road asphalt layer quality detection device according to claim 2, characterized in that: The step of determining the road surface flatness of the route to be measured according to the fluctuation stability of the trend item data in the trend item data sequence comprises: In the trend item data sequence, the difference between each trend item data and the previous trend item data is used as the trend change value of each trend item data; the average of the trend change values ​​of all trend item data in the trend item data sequence is used as the local trend change value; Determine the overall trend change value according to the overall fluctuation of all trend item data in the trend item data sequence; The product of the local trend change value and the overall trend change value is negatively normalized to obtain the road surface flatness of the route to be measured.

4. A multifunctional road asphalt layer quality detection device according to claim 3, characterized in that: The process of obtaining the overall trend change value includes: The variance of all trend item data in the trend item data sequence is taken as the overall trend change value.

5. The multifunctional road asphalt layer quality detection device according to claim 1 is characterized in that: The process of obtaining the road surface thickness includes: On the high-frequency ultrasonic waveform data, the time when the ultrasonic device transmits data at each collection point on the route to be measured is used as the transmission time; The range of all amplitude data between each extreme point and the previous extreme point on the high-frequency ultrasonic waveform data is used as the vibration amplitude of each extreme point; According to the distribution of vibration amplitudes of all extreme points between each emission moment and the next emission moment, the reflection extreme point corresponding to each emission moment is screened out; the moment at which the emission extreme point corresponding to each emission moment is located is used as the reflection moment corresponding to each emission moment; The time difference between the emission time and the corresponding reflection time of each collection point is used as the reflection time delay of each collection point; the collection thickness of each collection point is determined according to the ground distance data of each collection point, the reflection time delay and the ultrasonic velocity of the ultrasonic device; The average of the road surface thickness of all the collected points is taken as the road surface thickness corresponding to the route to be measured.

6. A multifunctional road asphalt layer quality detection device according to claim 5, characterized in that: The process of obtaining the reflection extreme value point includes: The vibration amplitude of the extreme point closest to each emission moment is used as the emission data amplitude at each emission moment; the difference between the vibration amplitude of each extreme point and the emission data amplitude at the closest emission moment before it is used as the amplitude difference reference value of each extreme point; among all the extreme points between each emission moment and the next emission moment, the extreme point corresponding to the largest amplitude difference reference value is used as the reflection extreme point corresponding to each emission moment.

7. A multifunctional road asphalt layer quality detection device according to claim 5, characterized in that: The acquisition process of the collected thickness includes: The ground distance data of the corresponding collection point is subtracted from half of the product of the reflection time delay and the ultrasonic velocity of the ultrasonic device to obtain the collection thickness of each collection point.

8. The multifunctional road asphalt layer quality detection device according to claim 1 is characterized in that: The process of obtaining the temperature anomaly degree includes: Determine the collection temperature of each collection point through the temperature collection module on the probe; Taking each collection point on the route to be measured as a target point in turn; taking other collection points other than the target point as reference points; and determining the temperature dispersion degree of the target point according to the overall difference in the collection temperature between the target point and the corresponding reference points; The temperature dispersion of all the collection points is counted; the temperature anomaly corresponding to the route to be measured is determined by the difference between the mean of all the temperature data corresponding to all the collection points whose temperature dispersion is less than the preset discrete threshold and the preset road surface standard temperature.

9. A multifunctional road asphalt layer quality detection device according to claim 8, characterized in that: The process of obtaining the temperature dispersion degree includes: The difference between the collected temperature of the target point and the collected temperature of each corresponding reference point is taken as the reference temperature difference of each reference point; the normalized value of the mean of the reference temperature differences of all reference points corresponding to the target point is taken as the temperature dispersion degree of the target point.

10. The multifunctional road asphalt layer quality detection device according to claim 1, characterized in that: The process of obtaining the road acceptance quality includes: The product of the negative correlation mapping value of the temperature anomaly, the road surface flatness and the road surface thickness is normalized to determine the road acceptance quality of the route to be measured.

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