CN113295609A - Asphalt mixture compaction quality evaluation system and method based on intelligent sensing aggregate - Google Patents
Asphalt mixture compaction quality evaluation system and method based on intelligent sensing aggregate Download PDFInfo
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Abstract
The invention provides an asphalt mixture compaction quality evaluation system and method based on intelligent sensing aggregate, belonging to the technical field of asphalt mixture performance detection.A intelligent sensing aggregate module acquires the acceleration and attitude angle in each coordinate direction in a three-dimensional space coordinate system in the asphalt mixture compaction process; the calculation module calculates the spatial acceleration and the spatial attitude angle according to the acceleration and attitude angle data; the judgment module judges whether the space acceleration and the space attitude angle reach a stable state within a certain compaction frequency; if so, the compaction quality of the asphalt mixture is optimal, otherwise, the compaction quality of the asphalt mixture is not optimal. According to the method, the intelligent sensing aggregate is used for replacing the traditional aggregate, the attitude data of the aggregate in the asphalt mixture is collected in real time, the spatial acceleration and the spatial attitude angle of the intelligent sensing aggregate are calculated according to the collected attitude data, the compaction quality evaluation standard is established, the compaction quality of the asphalt mixture can be accurately evaluated, and a new means is provided for evaluating the compaction quality of the asphalt pavement.
Description
Technical Field
The invention relates to the technical field of asphalt mixture performance detection, in particular to an asphalt mixture compaction quality evaluation system and method based on intelligent sensing aggregate.
Background
The mass ratio of the aggregate in the asphalt mixture is over 90 percent. The embedding and extruding state of the aggregates in the asphalt mixture is closely related to the compaction quality of the asphalt mixture, the higher the compaction quality is, the more easily the embedding and extruding are formed among the aggregates, and the better the high-temperature stability of the asphalt mixture is.
At present, for the detection of aggregate compaction quality, the form characteristics of aggregates and the distribution rule of the aggregates in asphalt mixture compaction are mainly obtained by means of computer numerical simulation, image processing, aggregate marking tracking or CT nondestructive scanning and the like, and some prospective achievements are obtained. However, these means have high cost, poor portability of the device, complicated processes for acquiring and processing the original data, and difficulty in real-time acquisition and synchronous processing of the data, and are difficult to popularize and apply in field engineering.
In addition, the current relatively advanced intelligent compaction technology is mainly used for judging the compaction state of the asphalt pavement and the mechanical operation condition through a detection device carried by the intelligent compaction technology, so that the compaction performance parameters and the like of the machinery are properly adjusted, and the compaction degree can reach the required standard. However, the compaction technology cannot sense and analyze the contact behavior of aggregate and the conditions inside the asphalt pavement such as the embedding and squeezing state, and the condition that the surface compaction quality is qualified but the inside is loose easily occurs, so that the hidden danger of diseases is caused.
Disclosure of Invention
The invention aims to provide an asphalt mixture compaction quality evaluation system and method based on intelligent sensing aggregate, so as to solve at least one technical problem in the background technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides an asphalt mixture compaction quality evaluation system based on intelligent sensing aggregate, which comprises:
the intelligent sensing aggregate module is used for acquiring the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate module in the compaction process of the asphalt mixture and sending the acceleration and the attitude angle to the calculation module;
the calculation module is used for respectively calculating the space acceleration and the space attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the intelligent sensing aggregate;
the judgment module is used for judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
Preferably, the smart perception aggregate module comprises an external packaging layer and an internal integration module; the internal integration module comprises an attitude sensor and a signal transmitting end of the wireless transmission module; the attitude sensor is used for collecting acceleration and an attitude angle, and a signal transmitting end of the wireless transmission module transmits the acceleration and the attitude angle to the calculation module.
Preferably, the system further comprises: and the display module is used for displaying the acceleration and attitude angle in each coordinate direction in the self three-dimensional space coordinate system of the intelligent perception aggregate in the acquired asphalt mixture compaction process, and the calculated space acceleration and space attitude angle.
Preferably, the calculation module is connected to a signal receiving end of the wireless transmission module, and the signal receiving end of the wireless transmission module receives the acceleration and attitude angle of the intelligent sensing aggregate module sent by the signal transmitting end of the wireless transmission module.
Preferably, the system further comprises: and the first power supply module is used for supplying power to the calculation module, the judgment module, the display module and the signal receiving end.
Preferably, the smart perception aggregate module further comprises: the second power supply module is used for supplying power to the attitude sensor and the signal transmitting end; and the power supply control module is used for remotely controlling the power-on and power-off of the second power supply module through upper computer software and a network relay.
Preferably, the system further comprises: and the storage module is used for storing the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the collected aggregates in the compaction process of the asphalt mixture and the calculated space acceleration and space attitude angle.
Preferably, the outer packaging layer is prepared and printed by using nylon 6/66 copolymer as a 3D printing material.
In a second aspect, the invention provides an asphalt mixture compaction quality evaluation method based on intelligent sensing aggregate, which comprises the following steps:
acquiring acceleration and attitude angles in each coordinate direction in a three-dimensional space coordinate system for intelligently sensing aggregates in the process of compacting the asphalt mixture;
respectively calculating the space acceleration and the space attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system;
judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
In a third aspect, the present invention provides a non-transitory computer readable storage medium comprising instructions for performing the intelligent aggregate-based asphalt mix compaction quality assessment method described above.
In a fourth aspect, the invention provides an electronic device comprising a non-transitory computer readable storage medium as described above; and one or more processors capable of executing the instructions of the non-transitory computer-readable storage medium.
The invention has the beneficial effects that: the intelligent sensing aggregate is used for replacing the traditional aggregate, the attitude data of the aggregate in the asphalt mixture is collected in real time, the spatial acceleration and the spatial attitude angle of the intelligent sensing aggregate are calculated according to the collected attitude data, the compaction quality evaluation standard is established, the compaction quality of the asphalt mixture can be accurately evaluated, and a new means is provided for the compaction quality evaluation of the asphalt pavement.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a functional schematic block diagram of an asphalt mixture compaction quality evaluation system based on intelligent sensing aggregate according to an embodiment of the invention.
Fig. 2 is a schematic external structural diagram of the smart perception aggregate module according to the embodiment of the invention.
Fig. 3 is a diagram of a connection structure of the background operation end according to the embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by way of the drawings are illustrative only and are not to be construed as limiting the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including 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.
It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the various embodiments or examples and features of the various embodiments or examples described in this specification can be combined and combined by those skilled in the art without contradiction.
For the purpose of facilitating an understanding of the present invention, the present invention will be further explained by way of specific embodiments with reference to the accompanying drawings, which are not intended to limit the present invention.
It should be understood by those skilled in the art that the drawings are merely schematic representations of embodiments and that the elements shown in the drawings are not necessarily required to practice the invention.
Example 1
As shown in fig. 1, in this embodiment 1, there is provided a system for evaluating compaction quality of asphalt mixture based on intelligent sensing aggregate, which includes:
the intelligent sensing aggregate module is used for acquiring the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate in the compaction process of the asphalt mixture and sending the acceleration and the attitude angle to the calculation module; the calculation module is used for respectively calculating the spatial acceleration and the spatial attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional spatial coordinate system of the intelligent sensing aggregate; the judgment module is used for judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
In this embodiment 1, the smart perception aggregate module includes an outer encapsulation layer and an inner integrated module; the internal integration module comprises an attitude sensor and a signal transmitting end of the wireless transmission module; the attitude sensor is used for acquiring acceleration and an attitude angle, and a signal transmitting end of the wireless transmission module transmits the acceleration and the attitude angle to the calculation module.
In this embodiment 1, the system further includes: and the display module is used for displaying the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the collected aggregate in the compaction process of the asphalt mixture, and the calculated spatial acceleration and spatial attitude angle.
In this embodiment 1, the calculation module is connected to a signal receiving end of the wireless transmission module, and the signal receiving end of the wireless transmission module receives the acceleration and the attitude angle sent by the signal transmitting end of the wireless transmission module.
In this embodiment 1, the system further includes: and the first power supply module is used for supplying power to the calculation module, the judgment module, the display module and the signal receiving end.
In this embodiment 1, the intelligent sensing aggregate module further includes: the second power supply module is used for supplying power to the attitude sensor and the signal transmitting terminal; and the power supply control module is used for remotely controlling the power-on and power-off of the second power supply module through upper computer software and a network relay.
In this embodiment 1, the system further includes: and the storage module is used for storing the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the collected aggregate in the acquired asphalt mixture compaction process, and the calculated spatial acceleration and spatial attitude angle.
In this embodiment 1, the system described above is used to implement a method for evaluating compaction quality of asphalt mixture, which includes:
acquiring the acceleration and attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate in the compaction process of the asphalt mixture;
respectively calculating the spatial acceleration and the spatial attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional spatial coordinate system of the intelligent sensing aggregate;
judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
As shown in fig. 2 and fig. 3, the intelligent sensing aggregate module in this embodiment 1 is manufactured by modeling based on the shape of a real aggregate and then by 3D printing. The intelligent sensing aggregate module is internally provided with a plurality of sensing chips and control chips, and the external packaging layer is in a shape controlled by a 3D printing technology, so that the intelligent sensing aggregate module can replace real aggregate to be mixed with asphalt binder to prepare asphalt mixture and bear force.
Because the intelligent sensing aggregate module has the same shape as a real aggregate, the intelligent sensing aggregate module does not influence the original grading of the asphalt mixture after replacing the real aggregate and the asphalt binder to mix and prepare the asphalt mixture.
In this embodiment 1, the intelligent sensing aggregate module size: the longest axis is 25 mm. It comprises a shell 1 and an inner core 2 enclosed by the shell 1.
In practical application, a person skilled in the art can specifically set the size parameter of the intelligent sensing material collecting module according to practical situations, and the longest axis of the intelligent sensing material collecting module is not limited by the length.
The shell 1 is made of nylon 6/66 copolymer material, and the material has high strength, can resist high temperature of 200 ℃, can not deform significantly when stressed at 200 ℃, and still can carry out normal signal transmission.
The shell 1 is internally wrapped with a core 2, and the core 2 comprises an attitude sensor, a miniature rechargeable lithium battery, a wireless transmission module (transmitting end) and a battery control module. The built-in micro rechargeable lithium battery is a high-endurance micro lithium battery and can be standby for more than 1 year. The miniature rechargeable lithium battery is connected with external charging or continuous power supply equipment through the lead 3, for example, the miniature rechargeable lithium battery can continuously supply power through an external solar panel, and the miniature rechargeable lithium battery can realize the setting of an interval type acquisition mode by combining external control software and can realize the long-term performance detection of the asphalt pavement.
The attitude sensor can output attitude angle data and acceleration data in three directions of XYZ. The attitude sensor is connected with a wireless transmission module (transmitting end) and can wirelessly transmit data of the attitude sensor to upper computer software.
A miniature rechargeable lithium battery is adopted to supply power for the attitude sensor and the wireless transmission module (transmitting terminal); the miniature rechargeable lithium battery adopts the external leads of the anode and the cathode to realize external charging or continuous power supply.
In this embodiment 1, the signal transmission mode of intelligent perception module of gathering materials is wireless transmission, and when the buried depth was not more than 15cm degree of depth, the effective transmission distance was 100 meters under the spacious environment.
The battery control module is connected with the miniature rechargeable lithium battery. The power-on and power-off of the miniature rechargeable lithium battery can be remotely controlled through upper computer software and a network relay.
In this embodiment 1, the system is provided with a background operation terminal, which includes: the system comprises upper computer software 4, a wireless transmission module (receiving end) 5, a computer host 6 and a network relay 7. The wireless transmission module (receiving end) is connected with the computer host, the network relay is connected with the computer host, and the computer host is provided with the calculation module and the judgment module. The upper computer software is realized through python programming and can run under a windows system. And the upper computer software remotely acquires the data of the attitude sensor through a wireless transmission module (receiving end). Through upper computer software, the acquisition interval of data can be set, and the acquired data can be exported to an excel format file. The upper computer software remotely controls the miniature rechargeable lithium battery through the network relay, so that the miniature rechargeable lithium battery can be powered on and off according to the program setting. The upper computer software, the wireless transmission module (receiving end), the computer host and the network relay are all placed in the equipment box 8.
Example 2
In this embodiment 2, based on the internet of things technology, a small-size, low-cost, high-precision aggregate attitude data real-time acquisition and processing system (RDAPS), that is, an asphalt mixture compaction quality evaluation system, is developed. The system comprises three parts, namely Intelligent Attitude Aggregation (IAA) (namely an intelligent perception aggregation module), analysis software and hardware equipment. Through researching the data sensitivity of the RDAPS system, the high temperature resistance performance and the indoor mechanical property of the IAA, an evaluation system of the compaction quality of the asphalt pavement is established based on the RDAPS system, so that a new means is provided for the compaction quality evaluation of the asphalt pavement.
In this embodiment 2, the Intelligent Attitude Aggregation (IAA) includes an intelligent sensing aggregation module, a micro power module (second power module), and a transmitting terminal of a wireless transmission module (i.e., a signal transmitting terminal of a communication module). The attitude sensor module is selected as the main chip of the IAA, and the technical parameters are shown in Table 1.
TABLE 1 attitude sensor Module technical parameters
The wireless transmission module performs full-duplex wireless transparent transmission on the acquired data of the attitude sensor, and the technical parameters are shown in table 2. The wireless transmission modules are usually used in pairs, one as a transmitting end and the other as a receiving end, wherein the transmitting end of the wireless transmission module is in the IAA.
Table 2 technical parameters of wireless transmission module
| Parameter(s) | Index value |
| Size of | 10mm*16mm*2mm |
| Transmission distance (spacious condition) | 600m without encapsulation |
| Input voltage | 3.7V |
| Electric current | 60ma (transmit), 40ma (receive) |
| Maximum transmission power | Maximum 22dBm |
| Communication method | Full duplex serial port communication |
| Control mode | Controlled by serial port instructions |
In this example 2, an outer encapsulation layer of IAA was prepared using a nylon 6/66 copolymer as a 3D printing material, which has excellent heat resistance, mechanical properties, and printing properties. The relevant technical indices are shown in table 3.
TABLE 3 technical indices of Nylon 6/66 copolymer
In this embodiment 2, an internal thermal insulation layer is disposed inside the packaged IAA, and plastic-steel soil and a 380 ℃ temperature-resistant high-temperature adhesive tape are used as the internal chip thermal insulation layer of the IAA.
The size of a rechargeable micro lithium battery module adopted by the packaged micro power module is 15mm x 20mm x 6mm, the voltage is 3.7V, the capacity is 350mA, and the power-on and power-off of the power module can be remotely and wirelessly controlled.
An Intelligent Attitude Aggregate (IAA) with the grain size of 20mm is prepared by adopting an attitude sensor, a micro power module, a wireless transmission module (transmitting end) and the like. The IAA is packaged based on a 3D printing technology (controlling the shape of the IAA) and a high-strength high-temperature-resistant material (ensuring the mechanical strength and signal stability of the IAA). The micro power module has the functions of remote power-on and power-off, and long-term endurance of the IAA can be guaranteed by controlling the data acquisition interval through software programming. The IAA can wirelessly output self triaxial acceleration and spatial attitude angle data.
In this embodiment 2, the analysis software is programmed in python language, and can perform timing acquisition and real-time algorithm analysis on the aggregate attitude data, and the acquired data can be stored as an excel file in real time. The analysis software comprises a calculation module, and the calculation module is used for calculating the space acceleration and the space attitude angle. The analysis software also comprises a judgment module which is used for judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
In this embodiment 2, the hardware portion mainly includes an integrated wireless transmission module (receiving end), a micro power source remote controller (capable of remotely controlling the power supply in the IAA to be turned on or off), a data processing system installed with analysis software, and a display screen (display module).
In this embodiment 2, the packaged IAA acquires the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the IAA itself in the asphalt mixture compacting process in real time through the attitude sensor chip, and sends the acceleration and the attitude angle to the calculation module through the transmitting terminal of the wireless transmission module, and the calculation module calculates the spatial acceleration and the spatial attitude angle according to the acquired acceleration and attitude angle in each coordinate direction in the three-dimensional space coordinate system of the IAA in the asphalt mixture compacting process. The judgment module judges whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
In this embodiment 2, the qualification conditions for the substantial amount of the asphalt pavement pressure in the compaction process based on the IAA spatial attitude data are as follows: firstly, the space acceleration C of the IAA is less than or equal to 0.05g/cm within a certain compaction frequency N3A steady state of (c); secondly, the IAA space attitude angle phi is in a stable state that phi is less than or equal to 3 degrees within a certain compaction frequency N. The value of a certain compaction frequency N is determined according to the field condition (N is more than or equal to 1).
The RDAPS system described in this embodiment 2 has the following excellent performance:
wireless transmission performance: 9600bps is selected as the transmission baud rate of the IAA, and when the buried depth is not more than 15cm, the effective transmission distance is 100 meters in an open environment. High temperature resistance: the intelligent attitude aggregate can perform stable data transmission within 200 ℃.
Indoor mechanical properties: the IAA is close to each index of limestone aggregate, and can replace the traditional aggregate to bear external acting force and transmit internal load. According to the indoor dynamic modulus experiment result, the dynamic modulus of the asphalt mixture with the IAA is not obviously different from that of the common asphalt mixture. Therefore, the IAA is implanted into the asphalt mixture without obviously influencing the original mechanical property of the mixture.
Example 3
This embodiment 3 provides an evaluation system for compaction quality of asphalt mixture, and the system includes:
the intelligent sensing aggregate module is used for acquiring the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate in the compaction process of the asphalt mixture; the calculation module is used for respectively calculating the spatial acceleration and the spatial attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional spatial coordinate system of the intelligent sensing aggregate; the judgment module is used for judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
The system further comprises: and the display module is used for displaying the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the collected aggregate in the acquired asphalt mixture compaction process and the calculated spatial acceleration and spatial attitude angle.
The system further comprises: and the communication module is used for transmitting the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the intelligent sensing aggregate module in the compaction process of the asphalt mixture collected by the intelligent sensing aggregate module to the calculation module.
The communication module comprises a signal transmitting end connected with the intelligent perception aggregate module and a signal receiving end connected with the computing module.
The system further comprises: the first power module is used for supplying power to the calculation module, the judgment module, the display module and the signal receiving end.
The system further comprises: and the second power supply module is used for supplying power to the intelligent sensing aggregate module and the signal transmitting terminal.
The system further comprises: and the storage module is used for storing the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the collected aggregate in the collected asphalt mixture compaction process and calculating the spatial acceleration and the spatial attitude angle.
In this embodiment 3, adopt gesture sensor (intelligent perception module of gathering materials), little power module (second power module), wireless transmission module (transmitting terminal) etc. to prepare intelligent gesture that the particle diameter is 25mm and gathers materials (IAA). The IAA is packaged based on a 3D printing technology (controlling the shape of the IAA) and a high-strength high-temperature-resistant material (ensuring the mechanical strength and signal stability of the IAA). The micro power module has remote power-on and power-off functions, and long-term endurance of the IAA can be guaranteed by controlling a data acquisition interval through software programming. The IAA can wirelessly output self triaxial acceleration and spatial attitude angle data
A bituminous mixture cylindrical test piece with the diameter of 100mm and the height of 150mm is molded by a rotary compaction machine (SGC) by using a Shell No. 90 matrix asphalt, limestone aggregate, an AC25 grade and an oilstone ratio of 5.5 percent, wherein the molding temperature is 175 ℃, and the compaction rotation angle is 1 degree. In the forming process, the IAA can be placed into the asphalt mixture by natural mixing.
Asphalt mixture is a particle aggregate, the particles are bonded through asphalt, interaction force exists between the particles, and the posture of IAA is changed synergistically with other particles in a certain range. Therefore, the particle situation inside the asphalt mixture can be estimated through the attitude data of the IAA, and the compaction state of the asphalt mixture in the compaction process can be more comprehensively and accurately represented.
In this embodiment 3, in order to provide an asphalt mixture compaction quality evaluation standard based on the IAA attitude data, the relationship between the IAA attitude data and the asphalt mixture compaction times and degree needs to be analyzed through an indoor test. The IAA can respectively acquire attitude angles and accelerations in three directions of XYZ, and analyze the attitude angles and the accelerations as indexes, wherein the specific calculation formulas are shown as formulas (1) and (2).
Wherein C is the space acceleration; cxIs the acceleration in the X direction; cyAcceleration in the Y direction; czIs the acceleration in the Z direction; Φ is the spatial attitude angle in degrees (°); phixIs the attitude angle in the X direction; phiyIs the attitude angle in the Y direction; phizIs the attitude angle in the Z direction. The degree of compaction is represented by K and is calculated according to the formula (3).
K＝ρs/ρ0×100％ (3)
In the formula: k is the compaction degree of a certain measured part of the asphalt surface layer; rhosFor the actual density of the test piece, g/cm, determined by the test3；ρ0Is the standard density of the asphalt mixture, g/cm3. Standard density rho0The maximum theoretical density of the asphalt mixing plant sampling test is taken as the standard, and the value in example 3 is 2.42g/cm3。ρsThe bulk density of the wool is used and is obtained by an indoor test.
And forming the asphalt mixture test piece containing the IAA aggregate by adopting a rotary compaction instrument, wherein the compaction angle is 1 degree, and the forming temperature is 170 ℃. And (3) acquiring instantaneous attitude angle and acceleration data corresponding to each compaction in the compaction process of 1-160 times through an RDAPS system, and performing a test piece bulk density test (repeated performing of mold taking-test-heating-mold filling-compaction) every 16 times of compaction in the process.
In example 3, the state of the aggregate packing is reflected by the attitude angle and acceleration of the IAA. According to the kinematics principle, in a certain time period in the compaction process, when the attitude angle and the acceleration of the IAA can keep a certain stable value, the good embedding and squeezing state among the aggregates can be inferred.
The test result shows that: when the compactness meets the specification requirement, the attitude data of the IAA does not reach a stable state, the embedding and extruding effect among aggregates in the asphalt mixture can be further optimized, and when the attitude data of the IAA reaches the stable state, the corresponding compactness index meets the specification requirement. Based on IAA space attitude data, the qualification evaluation condition of the compaction quality of the asphalt pavement in the compaction process is: firstly, the space acceleration C of the IAA is less than or equal to 0.05g/cm within a certain compaction frequency N3A steady state of (c); secondly, the IAA space attitude angle phi is in a stable state that phi is less than or equal to 3 degrees within a certain compaction frequency N. The value of a certain compaction frequency N is determined according to the field condition (N is more than or equal to 1).
Example 4
Embodiment 4 of the present invention provides a non-transitory computer-readable storage medium including instructions for performing a method for intelligent aggregate-based assessment of compaction quality of asphalt mix, the method comprising:
acquiring the acceleration and attitude angle in each coordinate direction in a three-dimensional space coordinate system of an intelligent perception aggregate module in the compaction process of the asphalt mixture;
respectively calculating the space acceleration and the space attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the intelligent sensing aggregate module;
judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
Example 5
Embodiment 5 of the present invention provides an electronic device, including a non-transitory computer readable storage medium; and one or more processors capable of executing the instructions of the non-transitory computer-readable storage medium. The non-transitory computer readable storage medium includes instructions for performing a smart aggregate-based asphalt mix compaction quality assessment method, comprising:
acquiring the acceleration and attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate in the compaction process of the asphalt mixture;
respectively calculating the spatial acceleration and the spatial attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional spatial coordinate system of the intelligent sensing aggregate;
judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
In summary, the asphalt mixture compaction substantial quantity evaluation system based on intelligent sensing aggregate provided by the embodiment of the invention has small volume and low cost, and realizes a high-precision aggregate attitude data real-time acquisition and processing system (RDAPS), wherein the system comprises three parts, namely Intelligent Attitude Aggregate (IAA), analysis software and hardware equipment. Through researching the data sensitivity of the RDAPS system, the high-temperature resistance and the indoor mechanical property of the IAA, an evaluation system of the compaction quality of the asphalt pavement is established based on the RDAPS system, so that a new means is provided for the compaction quality evaluation of the asphalt pavement.
The embodiment develops a low-cost and high-precision aggregate attitude data real-time acquisition and processing system (RDAPS) based on a remote wireless transmission technology, a 3D printing technology and a computer programming technology and by adopting high-strength high-temperature-resistant materials, a wireless transmission module, an attitude sensor, a micro-power control module and the like. The system comprises three parts, namely Intelligent Attitude Aggregation (IAA), analysis software and hardware equipment.
And comprehensively considering the accuracy and the integrity of data packet transmission and the field application requirement, and selecting 9600bps as the transmission baud rate of the IAA. The collection of the aggregate attitude data in the asphalt mixture can be completed only by arranging one IAA in a circular area with the radius of 5 meters by taking the IAA arrangement point as the center of a circle.
Within 200 ℃, the intelligent attitude aggregate can perform stable data transmission, but the compressive strength of the intelligent attitude aggregate is reduced along with the increase of the temperature until the intelligent attitude aggregate is stable. The IAA is close to each index of limestone aggregate, and can replace the traditional aggregate to bear external acting force and transmit internal load. The IAA is implanted into the asphalt mixture without obviously influencing the original mechanical property of the mixture.
Based on IAA space attitude data in the compaction process of the asphalt pavement, a D-based space attitude dataThe RAPS system is suitable for a compaction quality evaluation system of a high-grade asphalt pavement. The evaluation conditions and criteria were: the IAA space acceleration C is less than or equal to 0.05g/cm within a certain compaction frequency N3A steady state of (c); the IAA spatial attitude angle phi is in a stable state of less than or equal to 3 degrees within a certain compaction number N.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to the specific embodiments shown in the drawings, it is not intended to limit the scope of the present disclosure, and it should be understood that various modifications and alterations can be made by those skilled in the art without inventive efforts based on the technical solutions disclosed in the present disclosure.
Claims (10)
1. The utility model provides an asphalt mixture compaction quality evaluation system based on intelligent perception is gathered materials which characterized in that includes:
the intelligent sensing aggregate module is used for acquiring the acceleration and the attitude angle in each coordinate direction in a three-dimensional space coordinate system of the intelligent sensing aggregate module in the compaction process of the asphalt mixture and sending the acceleration and the attitude angle to the calculation module;
the calculation module is used for respectively calculating the spatial acceleration and the spatial attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the intelligent sensing aggregate;
the judgment module is used for judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
2. The system for evaluating the compaction quality of asphalt mixtures based on intelligent perception aggregates according to claim 1, characterized in that the intelligent perception aggregates module comprises an external encapsulation layer and an internal integration module; the internal integration module comprises an attitude sensor and a signal transmitting end of the wireless transmission module; the attitude sensor is used for acquiring acceleration and an attitude angle, and a signal transmitting end of the wireless transmission module transmits the acceleration and the attitude angle to the calculation module.
3. The intelligent aggregate-based asphalt mixture compaction quality assessment system according to claim 2, further comprising: and the display module is used for displaying the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system in the acquired asphalt mixture compaction process, and the calculated space acceleration and space attitude angle.
4. The system for evaluating the compaction quality of the bituminous mixture based on intelligent sensing aggregate according to claim 3, wherein the computing module is connected with a signal receiving end of a wireless transmission module, and the signal receiving end of the wireless transmission module receives the acceleration and the attitude angle sent by a signal transmitting end of the wireless transmission module.
5. The intelligent aggregate-based asphalt mixture compaction quality assessment system according to claim 4, further comprising: and the first power supply module is used for supplying power to the calculation module, the judgment module, the display module and the signal receiving end.
6. The system for evaluating the compaction quality of asphalt mixture based on intelligent perception aggregate according to claim 5, wherein the intelligent perception aggregate module further comprises: the second power supply module is used for supplying power to the attitude sensor and the signal transmitting terminal; and the power supply control module is used for remotely controlling the power-on and power-off of the second power supply module through upper computer software and a network relay.
7. The intelligent aggregate-based bituminous mixture compaction quality evaluation system according to claim 6, characterized in that the system further comprises: and the storage module is used for storing the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system in the collected asphalt mixture compaction process, and the calculated space acceleration and space attitude angle.
8. The intelligent aggregate-based asphalt compaction quality evaluation system according to claim 7, wherein the outer encapsulating layer is prepared and printed from nylon 6/66 copolymer as a 3D printing material.
9. The method for evaluating the compaction quality of the asphalt mixture based on intelligent sensing aggregate is characterized by comprising the following steps of:
acquiring the acceleration and attitude angle in each coordinate direction in a three-dimensional space coordinate system of an intelligent perception aggregate module in the compaction process of the asphalt mixture;
respectively calculating the space acceleration and the space attitude angle according to the acceleration and the attitude angle in each coordinate direction in the three-dimensional space coordinate system of the intelligent sensing aggregate module;
judging whether the calculated space acceleration and the calculated space attitude angle reach a stable state within a certain compaction frequency; if the stable state is reached, the compaction quality of the asphalt mixture is optimal, and if the stable state is not reached, the compaction quality of the asphalt mixture is not optimal.
10. An electronic device, characterized in that: including non-transitory computer-readable storage media; and one or more processors capable of executing the instructions of the non-transitory computer-readable storage medium; wherein the non-transitory computer readable storage medium includes instructions for performing the intelligent aggregate-based asphalt mix compaction quality assessment method of claim 9.
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| CN114034847A (en) * | 2021-11-09 | 2022-02-11 | 长安大学 | Asphalt mixture compaction monitoring device and method |
| WO2022247818A1 (en) * | 2021-05-24 | 2022-12-01 | 长安大学 | Intelligent sensing aggregate-based asphalt mixture compaction quality evaluation system and method |
| CN116008516A (en) * | 2023-02-21 | 2023-04-25 | 哈尔滨工业大学 | Asphalt pavement compaction critical threshold determining method based on intelligent aggregate |
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