Road construction quality detection method

Abstract

The invention discloses a road construction quality detection method, and relates to the technical field of road construction quality detection, a data acquisition module is used for performing permeation and pore detection on a material before compaction, real-time acquisition is completed, a data processing module is used for sequentially calculating and outputting a permeability coefficient ST1 of the material before compaction and a pore volume KT of the material, and the permeability coefficient ST1 and the pore volume KT of the material before compaction are calculated. The data acquisition module is utilized again to carry out penetration detection on the material after compaction, real-time acquisition is completed, the road compaction degree YS is calculated and output by utilizing the data processing module again based on the permeability coefficient ST1 of the material before compaction and the pore volume KT of the material, and detection adjustment is carried out according to set satisfaction conditions. By enhancing the data processing capability, introducing an intelligent feedback mechanism and optimizing a mathematical model, optimization and innovation of the prior art and comprehensive evaluation of the influence of compaction operation on the material performance are realized, the accuracy and reliability of detection are improved, and the construction quality and efficiency are improved.

Description

Technical Field

[0001] The invention relates to the technical field of road construction quality detection, and in particular to a road construction quality detection method. Background Art

[0002] With the acceleration of urbanization and the growth of transportation demand, road construction has developed rapidly around the world. The construction scale of various types of roads such as highways, urban roads, and rural roads has continued to expand, and the requirements for road construction quality have also increased. In order to meet these requirements, road construction quality inspection methods have emerged and have become an important tool to ensure the quality of road construction.

[0003] At present, in some existing road construction quality inspection methods, only the permeability of the material after compaction is inspected and analyzed. In this way, it can only reflect the material performance after the compaction operation, and it is impossible to fully understand the changes in material performance before and after compaction. In addition, the existing inspection system lacks efficient data processing capabilities, and it is difficult to quickly and accurately analyze and process a large amount of inspection data, which limits the real-time and accuracy of the inspection system, making it difficult to discover and solve problems in the construction process in a timely manner. In addition, the existing inspection system can usually only provide inspection results, lacks intelligence and a comprehensive feedback mechanism combining before and after compaction, which means that the system cannot adjust the construction parameters in real time and accurately according to the inspection results, thereby affecting the construction quality and efficiency. Although the existing technology also attempts to use mathematical models to describe the physical properties of materials, these models are often overly simplified and difficult to accurately reflect the complexity and diversity of the internal structure of the material, which leads to deviations between the inspection results and the actual situation, affecting the accuracy and reliability of the inspection system. Summary of the invention

[0004] The purpose of the present invention is to provide a road construction quality detection method to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step I: Using the data acquisition module, the material is tested for permeability and porosity before compaction, and real-time data collection is completed; Step II, using the data processing module, sequentially calculate and output the material permeability coefficient ST1 and the material pore volume KT before compaction; Step III, using the data acquisition module again to perform penetration testing on the material after compaction and complete real-time acquisition; Step III: Based on the material permeability coefficient ST1 before compaction and the material pore volume KT, and again using the data processing module, calculate and output the road compaction degree YS, and perform detection and adjustment according to the set satisfying conditions; The data processing module includes a material penetration detection and evaluation unit for road construction quality, a unit for evaluating and understanding the internal structure of materials, and a unit for real-time evaluation and control of road construction quality; The equipment used in the data acquisition module includes a fluid quality measuring instrument, a thickness measuring instrument, an area measuring instrument, a pore surface area measuring device, and a compaction device; The equipment used by the data processing module includes data processing equipment.

[0006] Optionally, the material penetration detection and evaluation unit of the road construction quality has a calculation formula for materials before compaction as follows: ; in: ST1 is the permeability coefficient of the material before compaction; LZ1 is the first fluid mass, and LZ1 reflects the fluid mass at the initial moment; LZ2 is the second fluid mass, which reflects the fluid mass at the middle moment of the detection; And the first fluid mass LZ1 and the second fluid mass LZ2 reflect the fluid masses at different moments on the same side of the material; H1 is the thickness of the material before compaction; T1 is the first test time, which reflects the time length between detecting the first fluid mass LZ1 and the second fluid mass LZ2; CM is the material test area, and CM reflects the size of the same side area of ​​the material for testing the first fluid mass LZ1 and the second fluid mass LZ2.

[0007] Optionally, the calculation formula for evaluating the internal structural unit of the material is as follows: ; in: KT is the pore volume of the material; NM is the pore surface area of ​​the material, that is, the total area of ​​the pore inner wall.

[0008] Optionally, the material penetration detection and evaluation unit of the road construction quality calculates the following formula for the material after compaction: ; in: ST2 is the permeability coefficient of the material after compaction; LZ3 is the third fluid mass, LZ3 reflects the fluid mass at the end of the detection, and the third fluid mass LZ3 and the second fluid mass LZ2 reflect the fluid masses at different times on the same side of the material; H2 is the thickness of the material after compaction; T2 is the second test time, and T2 reflects the time length between detecting the second fluid mass LZ2 and the third fluid mass LZ3.

[0009] Optionally, the calculation formula of the real-time evaluation and control unit for road construction quality is as follows: ; in: YS is the degree of road compaction and is expressed as a percentage; ZT is the total volume of the material.

[0010] Optionally, the detection adjustment steps based on the road compaction degree YS and the set conditions that meet the conditions are as follows: If the road compaction degree YS meets the set satisfaction conditions, it means that the current construction parameters and compaction methods are effective, and subsequent construction work should continue; If the road compaction degree YS does not meet the set conditions, it means that the construction parameters need to be adjusted and the compaction operation needs to be re-performed. The first test time T1 and the second test time T2 should be increased to reflect the long-term permeability of the material, the material test area CM should be increased, and the material thickness should be re-measured.

[0011] Optionally, the set satisfying condition interval is {90%-99%}, and the specific detection distinction is as follows: Expressways and highways Base layer, subbase layer: compaction degree is 99%; Roadbed and pavement surface: compaction degree is 95%; Other roads Base layer, subbase layer: compaction degree is 95%; Roadbed and pavement surface: compaction degree is 90%.

[0012] Optionally, the fluid mass measuring instrument is used to measure the first fluid mass LZ1, the second fluid mass LZ2 and the third fluid mass LZ3; The thickness measuring instrument is used to measure the thickness H1 of the material before compaction and the thickness H2 of the material after compaction; The area measuring instrument is used to measure the material test area CM; The pore surface area measuring device is used to measure the pore surface area NM of the material; The compacting equipment is used to perform compaction operations; The data processing equipment includes a computer and a data recorder and is used for storing, processing and analyzing the detection data.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention constructs a material penetration detection and evaluation unit for road construction quality, an algorithm formula for evaluating and understanding the material internal structure unit, and a real-time evaluation and control unit for road construction quality, so that the system can accurately evaluate the permeability of the material, the pore volume, and the compaction of the road. These formulas not only take into account the physical properties of the material, but also reveal the complex relationship between the internal structure of the material and the fluid flow through the permeability coefficient and the pore surface area parameters, thereby improving the accuracy and reliability of the detection. In addition, the system uses advanced data processing technology to realize the calculation of the material penetration detection and evaluation unit for road construction quality, the evaluation and understanding of the material internal structure unit, and the real-time evaluation and control unit for road construction quality, so that a large amount of detection data can be processed and analyzed quickly and accurately, which improves the real-time and accuracy of the detection system, so that problems in the construction process can be discovered and solved in time.

[0014] 2. The system of the present invention realizes real-time adjustment and optimization of construction parameters through a loop feedback mechanism, and by comparing the permeability coefficients before and after compaction, it can more accurately evaluate the effect of the compaction operation, thereby achieving the purpose of comprehensively understanding and evaluating the impact of changes in material properties before and after compaction. This helps the system to adjust the construction strategy in time according to the test results, thereby improving construction quality and efficiency.

[0015] 3. The material penetration detection and evaluation unit for road construction quality proposed in the present invention, the algorithm formula for evaluating and understanding the material internal structure unit and the real-time evaluation and control of the road construction quality unit, not only takes into account the physical properties of the material, but also introduces the permeability coefficient before and after compaction and the material pore surface area NM, thereby more accurately describing the complexity and diversity of the internal structure of the material, which helps to reduce the deviation between the test results and the actual situation and improve the accuracy and reliability of the detection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a method flow chart of the road construction quality detection method; Figure 2 It is a schematic diagram of the calculation output of the material penetration detection and evaluation unit of the road construction quality before and after compaction in the present invention; Figure 3 It is a structural schematic diagram of the data processing module of the present invention; Figure 4 It is a schematic diagram of the detection, analysis and adjustment of the road compaction degree YS in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Regarding this road construction quality detection method, it is different from the existing road construction quality detection methods. The existing road construction quality detection methods not only lack efficient data processing capabilities, but also lack intelligence and a comprehensive feedback mechanism combining before and after compaction, resulting in the inability to adjust construction parameters in real time and accurately according to the detection results, thereby affecting the construction quality and efficiency, as well as the accuracy and reliability of the detection system. This algorithm unit optimizes and innovates the existing technology and comprehensively evaluates the impact of compaction operations on material properties by enhancing data processing capabilities, introducing intelligent feedback mechanisms, and optimizing mathematical models. It improves the accuracy and reliability of detection and also helps to improve construction quality and efficiency.

[0019] For example, see Figures 1 to 4 , this implementation provides a road construction quality detection method, the specific implementation steps are as follows: Step I: Using the data acquisition module, the material is tested for permeability and porosity before compaction, and real-time data collection is completed; Step II, using the data processing module, sequentially calculate and output the material permeability coefficient ST1 and the material pore volume KT before compaction; Step III: Use the data acquisition module again to perform penetration testing on the material after compaction and complete real-time acquisition; Step III: Based on the material permeability coefficient ST1 and the material pore volume KT before compaction, and again using the data processing module, calculate and output the road compaction degree YS, and perform detection and adjustment according to the set satisfying conditions; The data processing module includes a material penetration detection and evaluation unit for road construction quality, a unit for evaluating and understanding the internal structure of materials, and a unit for real-time evaluation and control of road construction quality; The equipment used in the data acquisition module includes fluid quality measuring instruments, thickness measuring instruments, area measuring instruments, pore surface area measuring equipment, and compaction equipment; The fluid mass measuring instrument is used to measure the first fluid mass LZ1, the second fluid mass LZ2 and the third fluid mass LZ3; The thickness gauge is used to measure the thickness H1 of the material before compaction and the thickness H2 of the material after compaction; The area measuring instrument is used to measure the material test area CM; The pore surface area measuring device is used to measure the pore surface area NM of the material; Compacting equipment is used to perform compaction operations; The equipment used by the data processing module includes data processing equipment; The data processing equipment includes computers and data recorders, and is used to store, process and analyze detection data.

[0020] In this embodiment, the system improves the accuracy, reliability, construction quality and efficiency of detection through the mutual cooperation of three algorithm units and the combination of four operation results of ST1, ST2, KT and YS. Specifically, ST1 is the permeability coefficient of the material before compaction, and ST2 is the permeability coefficient of the material after compaction. In the field of road construction, the permeability coefficient is very important for evaluating the durability, impermeability and drainage performance of road materials. The algorithm unit provides key and comprehensive data support for subsequent road construction quality evaluation and control by separately calculating the permeability coefficients before and after compaction. KT is the pore volume of the material, which reflects the size of the space occupied by the pores inside the material and directly affects the physical and mechanical properties of the material. This calculation result helps to have a deeper understanding of the internal structure of the material. The calculation results provide a basis for the selection of materials and the optimization of construction parameters. YS is the compaction degree of the road. The compaction degree is an indicator to measure the degree to which the road material is compressed during the compaction process. It directly affects the flatness and service life of the road. This calculation result provides an effective means for real-time evaluation and control of road construction quality. At the same time, through the cyclic influence mechanism, the construction parameters can be adjusted in real time according to the calculation results of YS until the required road construction quality standards are met. The specific cyclic influence is manifested in the feedback of the calculation results of YS to the calculation of ST1, ST2 and KT, so that the three algorithms of this system each have significant beneficial effects, and the cyclic influence of YS on ST1 and ST2 also brings many positive effects. The application of these algorithm units provides important means and technical support for the evaluation, control and optimization of road construction quality.

[0021] See also Figures 1 to 4 , the calculation formula of the material penetration detection and evaluation unit for road construction quality before material compaction is as follows: ; in: ST1 is the permeability coefficient of the material before compaction; LZ1 is the first fluid mass, and LZ1 reflects the fluid mass at the initial moment; LZ2 is the second fluid mass, which reflects the fluid mass at the middle moment of the detection; And the first fluid mass LZ1 and the second fluid mass LZ2 reflect the fluid masses at different moments on the same side of the material; H1 is the thickness of the material before compaction; T1 is the first test time, which reflects the time length between detecting the first fluid mass LZ1 and the second fluid mass LZ2; CM is the material test area, which reflects the size of the same side area of ​​the material for testing the first fluid mass LZ1 and the second fluid mass LZ2; The calculation formula for the material penetration test and evaluation unit of road construction quality after material compaction is as follows: ; in: ST2 is the permeability coefficient of the material after compaction; LZ3 is the third fluid mass, LZ3 reflects the fluid mass at the end of the detection, and the third fluid mass LZ3 and the second fluid mass LZ2 reflect the fluid masses at different times on the same side of the material; H2 is the thickness of the material after compaction; T2 is the second test time, and T2 reflects the time length between detecting the second fluid mass LZ2 and the third fluid mass LZ3.

[0022] In this embodiment: First, in this algorithm unit, " "The calculation part reflects the change in the mass of the fluid passing through the unit area of ​​the material during the first test time T1, multiplied by the thickness H1 of the material before compaction, in order to convert the change in the mass of the fluid into a change in volume, thereby more accurately describing the ability of the fluid to pass through the material. Similarly, " "The calculation part reflects the change in the mass of the fluid passing through the unit area of ​​the material during the second test time T2, multiplied by the thickness H2 of the material after compaction, in order to convert the change in the mass of the fluid into a change in volume, thereby more accurately describing the ability of the fluid to pass through the material," The calculation part is the key part of calculating the permeability coefficient ST1 of the material before compaction. The permeability coefficient is an important parameter that describes the ability of the material to allow fluid to pass through, and this part of the calculation provides a specific measure of the fluid passing through the material; “ The calculation part calculates the product of the first test time T1 and the material test area CM, that is, the total area-time unit that the fluid may pass through during the test. It provides the time scale and space scale of the permeability test. This calculation part appears as a denominator in the calculation formula of the material penetration detection and evaluation unit of road construction quality, which is used to convert the change of fluid quality, that is, " "The calculation part is standardized to unit time and unit area to obtain the permeability coefficient ST1 of the material before compaction; This algorithm unit comprehensively considers the first test time T1, the second test time T2, the material test area CM, the first fluid mass LZ1, the second fluid mass LZ2, the third fluid mass LZ3 through this formula, and the material thickness H1 before compaction and the material thickness H2 after compaction factors, which can more accurately and comprehensively reflect the permeability of the material before and after compaction; In addition, the permeability coefficient is an important indicator for evaluating the durability and anti-seepage performance of road materials. The permeability coefficient calculated by the material penetration detection and evaluation unit of road construction quality can provide the system with a decision-making basis on material selection and construction parameters, thereby optimizing the construction plan and improving the quality of road construction. The application of this formula has promoted the innovation and development of road construction quality detection technology. By continuously optimizing and verifying the formula, it can further improve the detection accuracy and efficiency, providing technical support for the sustainable development of the road construction industry.

[0023] See also Figures 1 to 4 , the calculation formula for evaluating and understanding the internal structural unit of the material is as follows: ; in: KT is the pore volume of the material; NM is the pore surface area of ​​the material, that is, the total area of ​​the pore inner wall.

[0024] In this embodiment, first, "The calculation part attempts to estimate part of the pore volume by multiplying the permeability coefficient ST1 of the material before compaction and the pore surface area NM of the material. The permeability coefficient reflects the ability of the fluid to pass through the material, while the pore surface area provides the total area of ​​the pore inner wall. The multiplication of the two can indirectly reflect the size of the pore space. This calculation part is an important part of calculating the pore volume KT of the material, reflecting the relationship between the pore structure and the fluid flow; “ The calculation part attempts to reflect the material's resistance to fluid flow and its capacity to accommodate fluid flow through the ratio of material size to fluid mass change. It is also an adjustment item used to estimate the material's pore volume KT. This adjustment item takes into account the impact of material size and fluid mass changes on pore volume. This algorithm unit can deeply understand the internal structure and pore distribution characteristics of the material by calculating the material pore volume KT and the material pore surface area NM, providing an important basis for evaluating the performance and service life of the material. According to the calculation results of the material pore volume KT and the material pore surface area NM, the system can more accurately select road materials that meet the requirements and ensure the stability and reliability of road construction quality; The application of this algorithm unit simplifies the cumbersome steps in existing detection methods, improves detection efficiency and accuracy, and provides strong support for the rapid assessment of road construction quality.

[0025] See also Figures 1 to 4 ,The calculation formula for real-time evaluation and control of road construction quality unit is as follows: ; in: YS is the degree of road compaction and is expressed as a percentage; ZT is the total volume of the material.

[0026] In this embodiment, the algorithm unit first " The calculation part calculates the ratio of the material pore volume KT to the total volume ZT of the material. It reflects the degree to which the pore space is filled after the material is compacted. It is an important indicator for evaluating the compaction of the road. This calculation part is the first component of calculating the road compaction YS. By multiplying the ratio of the total volume to the pore volume by 100 to get the compaction in percentage form, the compaction effect of the road can be evaluated more intuitively. “ The calculation part calculates the relative change between the material permeability coefficient ST1 before compaction and the material permeability coefficient ST2 after compaction, which reflects the influence of compaction operation on material permeability. This calculation part is the second component of calculating the road compaction degree YS. By considering the change of permeability coefficient, the influence of compaction operation on road construction quality can be more comprehensively evaluated. At the same time, this part also reflects the feedback relationship between compaction degree and permeability. This algorithm unit measures the permeability coefficient ST2 of the compacted material in real time and substitutes it into the real-time evaluation and control of road construction quality unit to calculate the compaction degree, so that the system can monitor the changes in construction quality in real time, find problems in time and take measures to adjust them. According to the calculation results of the compaction degree, the system can optimize the compaction process parameters, including the number of compaction times and compaction speed, to improve the compaction degree and overall quality of the road. The application of this algorithm unit enables the system to evaluate and adjust the construction plan more quickly, thereby improving construction efficiency, shortening construction period and reducing construction costs; In addition, this embodiment can comprehensively evaluate the impact of compaction operation on material properties, including changes in pore structure and fluid flow characteristics, by calculating the permeability coefficients before and after compaction and bringing them into the real-time evaluation and control unit for road construction quality, and can more accurately evaluate the effect of compaction operation by comparing the permeability coefficients before and after compaction, thereby guiding the adjustment and optimization of construction parameters, and by bringing the permeability coefficients before and after compaction into the real-time evaluation and control unit for road construction quality, a circular feedback mechanism can be established to adjust the construction parameters in real time according to the calculation results of the compaction degree until the required road construction quality standard is reached; It is worth noting that by comparing the permeability coefficients before and after compaction, that is, the material permeability coefficient ST1 before compaction and the material permeability coefficient ST2 after compaction, the effect of the compaction operation can be evaluated more accurately, so that problems can be discovered in time and measures can be taken to adjust them, thereby improving the quality of road construction. The circular feedback mechanism enables the system to adjust the construction plan in real time according to the calculation results of the compaction degree, thereby optimizing the construction plan and improving construction efficiency. By adjusting the construction plan in real time, unnecessary repeated compaction operations can be avoided, thereby reducing construction costs and time costs. This calculation method has promoted the innovation and development of road construction quality inspection technology and provided technical support and motivation for the sustainable development of the road construction industry. In summary, the method of first calculating the permeability coefficient before compaction and then calculating the permeability coefficient after compaction, and bringing these two values ​​together into the real-time evaluation and control of road construction quality unit for calculation, can comprehensively evaluate the impact of compaction operations on material properties, improve the quality, efficiency and cost-effectiveness of road construction, and promote technological innovation and development.

[0027] For example 2, please refer to Figures 1 to 4 , the detection and adjustment steps based on the road compaction degree YS and the set conditions are as follows: If the road compaction degree YS meets the set satisfaction conditions, it means that the current construction parameters and compaction methods are effective, and subsequent construction work should continue; If the road compaction degree YS does not meet the set conditions, it means that the construction parameters need to be adjusted and the compaction operation needs to be repeated. The first test time T1 and the second test time T2 should be increased to reflect the long-term permeability of the material, the material test area CM should be increased, and the material thickness should be re-measured; The set satisfaction condition interval is {90%-99%}, and the specific detection is as follows: Expressways and highways Base layer, subbase layer: compaction degree is 99%; Roadbed and pavement surface: compaction degree is 95%; Other roads Base layer, subbase layer: compaction degree is 95%; Roadbed and pavement surface: compaction degree is 90%.

[0028] In this embodiment, the road compaction degree YS calculated by the real-time evaluation and control road construction quality unit can be fed back to the material penetration detection and evaluation unit of the road construction quality to guide the subsequent material selection and the detection of the material permeability coefficient ST1 before compaction and the material permeability coefficient ST2 after compaction. This cyclic feedback mechanism enables the system to continuously optimize the construction plan and improve the stability and reliability of the road construction quality. In the process of cyclic influence, with the continuous improvement of the compaction degree and the change of the material permeability coefficient ST1 before compaction and the material permeability coefficient ST2 after compaction, the system can more accurately evaluate the performance and service life of the material. This dynamic detection process helps to improve the precision and accuracy of the detection. The cyclic influence of the real-time evaluation and control road construction quality unit on the material penetration detection and evaluation unit of the road construction quality promotes the innovation and development of road construction quality detection technology. By continuously optimizing and verifying these formulas, the level of detection technology can be further improved, providing technical support and motivation for the sustainable development of the road construction industry. Specifically, the real-time evaluation and control of road construction quality unit provides a means of real-time monitoring of road construction quality by calculating the road compaction degree YS. Once it is found that the compaction degree does not meet the requirements, the feedback mechanism can be triggered immediately. This real-time feedback enables the system to quickly identify the problem and adjust the first test time T1, the second test time T2, and the material test area CM in the material penetration detection and evaluation unit of road construction quality, so as to correct the deviation in the compaction process in time. Through loop feedback, the system can continuously optimize the type of compaction equipment, compaction speed, and compaction number of times. The optimization of these parameters helps to improve the compaction efficiency and reduce the material pore volume KT, thereby improving the strength and stability of the road. In summary, the material penetration detection and evaluation unit of road construction quality, the unit for evaluating and understanding the internal structure of materials, and the unit for real-time evaluation and control of road construction quality each have significant beneficial effects, and the circular feedback mechanism of the real-time evaluation and control of road construction quality unit to the material penetration detection and evaluation unit of road construction quality plays an important role in road construction quality control. It not only provides a means of real-time monitoring and adjustment, but also helps to optimize construction parameters, improve material utilization, enhance road durability and improve the level of construction quality control. The application of this mechanism will help improve the overall quality and efficiency of road construction and make positive contributions to the development of road construction.

[0029] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A road construction quality detection method, characterized in that: The specific implementation steps are as follows: Step I: Using the data acquisition module, the material is tested for permeability and porosity before compaction, and real-time data collection is completed; Step II, using the data processing module, sequentially calculate and output the material permeability coefficient ST1 and the material pore volume KT before compaction; Step III, using the data acquisition module again to perform penetration testing on the material after compaction and complete real-time acquisition; Step III: Based on the material permeability coefficient ST1 before compaction and the material pore volume KT, and again using the data processing module, calculate and output the road compaction degree YS, and perform detection and adjustment according to the set satisfying conditions; The data processing module includes a material penetration detection and evaluation unit for road construction quality, a unit for evaluating and understanding the internal structure of materials, and a unit for real-time evaluation and control of road construction quality.

2. A road construction quality detection method according to claim 1, characterized in that: The equipment used in the data acquisition module includes a fluid quality measuring instrument, a thickness measuring instrument, an area measuring instrument, a pore surface area measuring device, and a compaction device; The equipment used by the data processing module includes data processing equipment.

3. A road construction quality detection method according to claim 2, characterized in that: The calculation formula of the material penetration test and evaluation unit for road construction quality before material compaction is as follows: ； in: ST1 is the permeability coefficient of the material before compaction; LZ1 is the first fluid mass, and LZ1 reflects the fluid mass at the initial moment; LZ2 is the second fluid mass, which reflects the fluid mass at the middle moment of the detection; And the first fluid mass LZ1 and the second fluid mass LZ2 reflect the fluid masses at different moments on the same side of the material; H1 is the thickness of the material before compaction; T1 is the first test time, which reflects the time length between detecting the first fluid mass LZ1 and the second fluid mass LZ2; CM is the material test area, and CM reflects the size of the same side area of ​​the material for testing the first fluid mass LZ1 and the second fluid mass LZ2.

4. A road construction quality detection method according to claim 3, characterized in that: The calculation formula for evaluating the internal structural unit of the material is as follows: ； in: KT is the pore volume of the material; NM is the pore surface area of ​​the material, that is, the total area of ​​the pore inner wall.

5. A road construction quality detection method according to claim 4, characterized in that: The calculation formula of the material penetration test and evaluation unit for road construction quality after material compaction is as follows: ； in: ST2 is the permeability coefficient of the material after compaction; LZ3 is the third fluid mass, LZ3 reflects the fluid mass at the end of the detection, and the third fluid mass LZ3 and the second fluid mass LZ2 reflect the fluid masses at different times on the same side of the material; H2 is the thickness of the material after compaction; T2 is the second test time, and T2 reflects the time length between detecting the second fluid mass LZ2 and the third fluid mass LZ3.

6. A road construction quality detection method according to claim 5, characterized in that: The calculation formula of the real-time evaluation and control unit of road construction quality is as follows: ； in: YS is the degree of road compaction and is expressed as a percentage; ZT is the total volume of the material.

7. A road construction quality detection method according to claim 6, characterized in that: The detection and adjustment steps based on the road compaction degree YS and the set satisfying conditions are as follows: If the road compaction degree YS meets the set satisfaction conditions, it means that the current construction parameters and compaction methods are effective, and subsequent construction work should continue; If the road compaction degree YS does not meet the set conditions, it means that the construction parameters need to be adjusted and the compaction operation needs to be re-performed. The first test time T1 and the second test time T2 should be increased to reflect the long-term permeability of the material, the material test area CM should be increased, and the material thickness should be re-measured.

8. A road construction quality detection method according to claim 7, characterized in that: The set satisfaction condition interval is {90%-99%}, and the specific detection is as follows: Expressways and highways Base layer, subbase layer: compaction degree is 99%; Roadbed and pavement surface: compaction degree is 95%; Other roads Base layer, subbase layer: compaction degree is 95%; Roadbed and pavement surface: compaction degree is 90%.

9. A road construction quality detection method according to claim 5, characterized in that: The fluid mass measuring instrument is used to measure a first fluid mass LZ1, a second fluid mass LZ2 and a third fluid mass LZ3; The thickness measuring instrument is used to measure the thickness H1 of the material before compaction and the thickness H2 of the material after compaction; The area measuring instrument is used to measure the material test area CM; The pore surface area measuring device is used to measure the pore surface area NM of the material; The compacting equipment is used to perform compaction operations; The data processing equipment includes a computer and a data recorder and is used for storing, processing and analyzing the detection data.

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