A method and system for highway filler quality inspection and supervision based on data fusion

Abstract

The present invention relates to the field of highway engineering technology, and in particular to a highway filler quality detection and supervision method and system based on data fusion. The present invention estimates the operation status of a vehicle on a construction road surface based on the operation data of the vehicle in previous road sections, and then analyzes the impact of the vehicle on the construction road surface. Based on the analysis results of the vehicle's impact on the construction road surface and the analysis results of construction hazard conditions, a matching evaluation of the vehicle and the construction road surface is performed, and based on the evaluation results of the matching of the vehicle and the construction road surface, an early warning is issued to the vehicle and the construction unit. The present application comprehensively analyzes the effect of the filler in a vibrating state by quantitatively analyzing the filler condition at the maintenance position, and then quantitatively analyzes the impact of the vehicle and road conditions on the solidification effect of the filler, thereby improving the accuracy of vehicle interception.

Description

Technical Field

[0001] The present invention relates to the technical field of highway engineering, and in particular to a method and system for detecting and supervising highway filler quality based on data fusion. Background Art

[0002] During the road repair process, usually only the road surface that needs maintenance is covered (such as Figure 5 As shown in the figure, in recent years, with the increasing busyness of road traffic, urban road maintenance and repair work has become more urgent. Filler repair, as a common maintenance method, is widely used in the repair of road cracks and damage. However, in the actual construction process, the passage of vehicles next to the construction area cannot be completely prohibited, especially for high-traffic roads such as urban main roads. This restriction often causes huge traffic pressure. Although some construction areas will set up traffic diversion measures, these measures are usually unable to completely eliminate the impact of vehicle vibration on the repair area. The vibration generated by vehicle traffic will be transmitted to the unsolidified filler through the road surface, causing the filler to bear periodic lateral stress, which will increase the strain and deformation of the filler, and then This affects the solidification effect, reduces the strength and stability of the repaired area, and shortens the service life after repair. Existing technical solutions have obvious deficiencies in monitoring and analyzing the impact of vehicle and road factors on filler solidification. Traditional monitoring methods usually rely on manual inspection and empirical judgment, and lack accurate quantitative analysis methods. This makes it difficult for construction parties to accurately assess the specific impact of vehicle traffic on the repair effect and unable to take effective measures in time to prevent the solidification effect from being damaged by vehicle vibration. Existing technologies cannot quantitatively analyze the impact of the filler's solidification effect based on the conditions of vehicles and road surfaces. As a result, it is impossible to accurately detect and intercept vehicles that will cause the filler's solidification effect to deteriorate. Existing technologies cannot solve the corresponding problems.

[0003] In order to solve these problems, this application designs a highway filler quality detection and supervision method and system based on data fusion. Summary of the Invention

[0004] In order to overcome the defects and shortcomings of the existing technology, the present invention provides a road filler quality detection and supervision method and system based on data fusion.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for monitoring and inspecting the quality of road fillers based on data fusion, comprising the following steps:

[0007] S1. Acquire construction road surface data and construction data during highway construction, and simultaneously acquire vehicle operation data passing through the road section;

[0008] S2. Analyze construction hazards based on the construction pavement data and foundation conditions in the construction data during highway construction;

[0009] S3. Estimate the vehicle's operating conditions on the construction road based on the vehicle's operating data on previous sections of the road, and then analyze the impact of the vehicle on the construction road;

[0010] S4. Evaluate the compatibility between the vehicle and the construction road surface based on the analysis results of the vehicle's impact on the construction road surface and the analysis results of the construction hazard situation;

[0011] S5. Issue early warnings to vehicles and construction units based on the matching assessment results between the vehicles and the construction road surface.

[0012] In one implementation of the present invention, the construction pavement data includes three-dimensional image data of the normal pavement on the side of the construction pavement and data on the construction filler laying conditions, wherein the filler laying condition data includes the filler's solidification time data, the connection strength of the solidification time, and the filler's filling time data; the construction data includes the elasticity data of the roadbed; the vehicle operation data passing through the road section includes the operation data of the vehicle passing through the corresponding construction road section in the next stage; wherein the vehicle operation data includes the vehicle's vibration data, wherein the vehicle's vibration data is obtained through a vibration or displacement sensor installed on the vehicle surface.

[0013] In one implementation of the present invention, the construction hazard analysis in step S2 includes the following specific steps:

[0014] S21. Acquire three-dimensional image data of the normal road surface on the side of the construction road surface, obtain the height of each point and the height of the road reference plane, and analyze the dangerous situation of the road surface based on the distance amplitude and uniformity of the height of each point relative to the reference plane. The formula for analyzing the dangerous situation of the road surface is: , where a is the distance amplitude ratio coefficient, which indicates the influence of distance amplitude on road hazard, jl is the distance amplitude hazard value, b is the uniformity influence ratio coefficient, which indicates the influence of road height uniformity on road hazard, jy is the uniformity of road height, and the distance amplitude hazard value is calculated as follows: , where m is the number of normal road surface points on the side, Lc is the height distance of the cth normal road surface point on the side relative to the reference surface, and LK is the road surface thickness. The calculation formula for the uniformity of the road surface height is: , where Lcz is the average height of the road surface points. In this formula, the road danger situation is analyzed by the uniformity and degree of damage obtained;

[0015] S22, obtaining elastic data of the roadbed, the distance from the normal road surface on the side of the construction road surface to the repair location, the setting time data of the filler, the connection strength during the setting time, and the filling time data of the filler to perform a vulnerability assessment of the repair location;

[0016] S23, obtaining a road hazard analysis result and a repair location vulnerability assessment result, and multiplying them to obtain a construction hazard analysis;

[0017] In one implementation of the present invention, step S3 includes the following specific steps: estimating the vehicle's operating conditions on the construction road based on the vehicle's operating data on previous road sections, and then analyzing the vehicle's impact on the construction road.

[0018] S31, obtaining vibration conditions of the vehicle on the preceding road section and road hazard conditions of the preceding road section;

[0019] S32. Analyze abnormal vibration of the vehicle based on the vibration condition of the vehicle on the previous road section, wherein the abnormal vibration analysis formula of the vehicle is: , where rt is the vibration amplitude at time t, T is the driving time on the previous road section, dt is the time integral, and rm is the amplitude safety value;

[0020] S33, obtaining the vehicle's vibration abnormality, the dangerous condition of the road surface in the preceding section, and the dangerous condition of the road surface in the construction section to obtain the impact value of the vehicle in the construction section;

[0021] In this step, the vibration of the vehicle on the construction section is evaluated by comparing the danger levels of the previous and next sections, and the impact of the vibration of the vehicle on the construction section is analyzed.

[0022] In one implementation of the present invention, step S4 includes the following specific contents:

[0023] The calculated construction hazard analysis results and the impact value of the vehicle on the construction section are obtained, and a weighted sum of the construction hazard analysis results and the impact value of the vehicle on the construction section is taken and the inverse is calculated to obtain a matching evaluation result between the vehicle and the construction road surface.

[0024] In one implementation of the present invention, the step S5 provides an early warning to the vehicle and the construction unit based on the evaluation result of the compatibility between the vehicle and the construction road surface, including the following specific contents:

[0025] The matching evaluation result between the vehicle and the construction road surface obtained by analysis will be analyzed. If the matching evaluation result between the vehicle and the construction road surface is greater than or equal to the set matching evaluation threshold, no warning will be issued and the vehicle can drive normally. If the matching evaluation result between the vehicle and the construction road surface is less than the set matching evaluation threshold, a warning will be issued and the warning signal will be sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface and the vehicle will be intercepted.

[0026] In a second aspect, the present invention further provides a road filler quality detection and supervision system based on data fusion, comprising:

[0027] The data acquisition module is used to obtain the construction road surface data and construction data during the highway construction process, and also obtain the vehicle operation data passing through the road section;

[0028] The construction hazard analysis module analyzes construction hazard conditions based on the construction pavement data and foundation conditions in the construction data during highway construction;

[0029] The construction road impact analysis module estimates the vehicle's operation on the construction road based on the vehicle's operation data on previous road sections, and then analyzes the vehicle's impact on the construction road;

[0030] Compatibility assessment module, which evaluates the compatibility between vehicles and construction pavement based on the analysis results of the impact of vehicles on the construction pavement and the analysis results of construction hazards;

[0031] The early warning module provides early warning to vehicles and construction units based on the matching assessment results between vehicles and construction road surfaces.

[0032] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a highway filler quality detection and supervision method based on data fusion by calling the computer program stored in the memory.

[0033] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute a method for detecting and supervising highway filler quality based on data fusion.

[0034] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0035] The present invention analyzes construction hazards based on construction pavement data during highway construction and foundation conditions in the construction data, estimates vehicle operation conditions on the construction pavement based on vehicle operation data on previous road sections, and then analyzes the impact of the vehicle on the construction pavement, evaluates the matching of the vehicle and the construction pavement based on the analysis results of the vehicle's impact on the construction pavement and the construction hazard analysis results, and issues early warnings to vehicles and construction units based on the evaluation results of the matching of the vehicle and the construction pavement. This application comprehensively analyzes the effect of maintaining the filler in a vibrating state by quantitatively analyzing the filler condition at the maintenance position, and then quantitatively analyzes the impact of the vehicle and pavement conditions on the solidification effect of the filler, thereby improving the accuracy of vehicle interception. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0037] Figure 1 Schematic diagram of the overall process of the method of the present invention;

[0038] Figure 2 This is a workflow diagram of S2 in the method of the present invention;

[0039] Figure 3 This is a workflow diagram of S3 in the method of the present invention;

[0040] Figure 4 Schematic diagram of the structure of the system of the present invention;

[0041] Figure 5 Schematic diagram of the scene of the present invention. DETAILED DESCRIPTION

[0042] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0043] Example 1

[0044] like Figure 5The figure shows a schematic diagram of the scenario of this application. During the road repair process, only the road surface that needs maintenance is usually blocked for construction, and the entire road surface is rarely closed for construction. The vibration of the adjacent vehicles is transmitted on the elastic road surface, which causes periodic lateral stress on the unsolidified filler, thereby causing strain and deformation of the filler. Because the vibration will generate additional stress on the filler, it increases its deformation, which leads to the destruction of the internal structure of the filler, affecting its solidification process and ultimate strength. Secondly, the unsolidified filler lacks sufficient strength and stability and is difficult to withstand the applied vibration stress, resulting in delamination, cracking or flow of the filler, affecting the repair effect. Especially on roads with high traffic volume, lateral vibration occurs frequently, which may aggravate the damage of the filler.

[0045] like Figures 1 to 3 As shown, this embodiment provides a method for detecting and supervising the quality of road fillers based on data fusion, which specifically includes the following steps:

[0046] S1. Acquire construction road surface data and construction data during highway construction, and simultaneously acquire vehicle operation data passing through the road section;

[0047] In this embodiment, the construction road surface data includes three-dimensional image data of the normal road surface on the side of the construction road surface and data on the paving condition of the filler during construction. The three-dimensional image data of the normal road surface on the side of the construction road surface can be obtained by using a three-dimensional imaging module carried by an unmanned aerial vehicle to perform three-dimensional imaging of the road surface. The filler paving condition data includes filler setting time data, connection strength during setting time, and filler filling time data. Different fillers have different setting times in different environments, so it is possible to obtain experimentally that the setting times of corresponding fillers in different environments are different. For example, historical filling time can be obtained in different environments, and a deep learning neural network with filler and environment as input and setting time as output can be constructed to obtain the setting time of different filling materials in different environments in the corresponding environment. The construction data includes elastic data of the roadbed. The vehicle operation data passing through the road section includes operation data of vehicles passing through the corresponding construction road section in the next stage. The vehicle operation data includes vehicle vibration data, which is obtained by a vibration or displacement sensor installed on the surface of the vehicle. For example, the vehicle vibration data includes vibration amplitude and vibration frequency.

[0048] S2. Analyze construction hazards based on the construction pavement data and foundation conditions in the construction data during highway construction;

[0049] In this embodiment, step S2 performs construction hazard analysis, including the following specific steps:

[0050] S21. Acquire three-dimensional image data of the normal road surface on the side of the construction road surface, obtain the height of each point and the height of the road reference plane, and analyze the dangerous situation of the road surface based on the distance amplitude and uniformity of the height of each point relative to the reference plane. The formula for analyzing the dangerous situation of the road surface is: , where a is the distance amplitude ratio coefficient, which indicates the influence of distance amplitude on road hazard, jl is the distance amplitude hazard value, b is the uniformity influence ratio coefficient, which indicates the influence of road height uniformity on road hazard, jy is the uniformity of road height, and the distance amplitude hazard value is calculated as follows: , where m is the number of normal road surface points on the side, Lc is the height distance of the cth normal road surface point on the side relative to the reference surface, and LK is the road surface thickness. The calculation formula for the uniformity of the road surface height is: , where Lcz is the average height of the road surface points. In this formula, the road danger situation is analyzed by the obtained uniformity and degree of damage to the road. In this embodiment, for example, the distance amplitude ratio is 0.6 and the uniformity impact ratio is 0.4;

[0051] S22. Obtain elastic data of the roadbed, the distance from the normal road surface to the repair location on the side of the construction road surface, the setting time data of the filler, the connection strength during the setting time, and the filling time data of the filler to perform a vulnerability assessment of the repair location. The vulnerability assessment formula for the repair location is: , where L of the construction road surface is the normal road surface length of the construction section, exp() is the power of the natural constant e, and s() is a piecewise function. If the number in the brackets is less than 0, then The value is , if the number in the brackets is greater than or equal to 0, then The value is 0, Pz is the connection strength at the setting time, Pm is the standard value of the connection strength, tm is the setting time of the filler, ts is the filling time of the filler, dlz is the integral of the pavement length, Fs is the elasticity data of the roadbed, Fm is the standard elasticity data, Ym is the safety distance, and Ylz is the distance to the maintenance position when the pavement length is lz. In this scheme, the transmission of vibration is analyzed through the elasticity of the pavement, and then the strength of the filler during the setting process is evaluated to comprehensively analyze the effect of the filler in maintaining its performance under vibration. At the same time, the elasticity here represents the strength of vibration transmission. The greater the elasticity, the stronger the vibration transmission.

[0052] S23, obtaining a road hazard analysis result and a repair location vulnerability assessment result, and multiplying them to obtain a construction hazard analysis;

[0053] S3. Estimate the vehicle's operating conditions on the construction road based on the vehicle's operating data on previous sections of the road, and then analyze the impact of the vehicle on the construction road;

[0054] In this embodiment, step S3 includes the following specific steps: estimating the vehicle's operating conditions on the construction road based on the vehicle's operating data on previous road sections, and then analyzing the vehicle's impact on the construction road.

[0055] S31, obtaining vibration conditions of the vehicle on the preceding road section and road hazard conditions of the preceding road section;

[0056] S32. Analyze abnormal vibration of the vehicle based on the vibration condition of the vehicle on the previous road section, wherein the abnormal vibration analysis formula of the vehicle is: , where rt is the vibration amplitude at time t, T is the driving time on the previous road section, dt is the time integral, and rm is the amplitude safety value; where the amplitude is preferably the effect of the upper and lower amplitudes on the construction road surface, or the combined effect of the upper and lower amplitudes and the left and right amplitudes;

[0057] S33. Obtain the abnormal vibration of the vehicle, the dangerous condition of the road surface in the preceding section, and the dangerous condition of the road surface in the construction section to obtain the impact value of the vehicle in the construction section. The calculation formula for the impact value of the vehicle in the construction section is: , where wxh is the dangerous condition of the road surface in the construction section, wxz is the dangerous condition of the road surface in the previous section, M is the vehicle weight, and Mm is the vehicle weight safety value of the road surface in the construction section;

[0058] In this step, the vibration of the vehicle on the construction section is evaluated by comparing the danger levels of the previous and next sections, and the impact of the vibration of the vehicle on the construction section is analyzed.

[0059] S4. Evaluate the compatibility between the vehicle and the construction road surface based on the analysis results of the vehicle's impact on the construction road surface and the analysis results of the construction hazard situation;

[0060] In this embodiment, step S4 performs a compatibility assessment between the vehicle and the construction road surface based on the analysis results of the vehicle's impact on the construction road surface and the analysis results of the construction hazard situation, including the following specific contents:

[0061] Obtain the calculated construction hazard analysis results and the impact value of the vehicle on the construction section, perform a weighted sum of the construction hazard analysis results and the impact value of the vehicle on the construction section, and calculate the inverse to obtain a matching evaluation result between the vehicle and the construction road surface;

[0062] S5. Issue early warnings to vehicles and construction units based on the vehicle and construction road surface compatibility assessment results;

[0063] In this embodiment, in step S5, an early warning is issued to the vehicle and the construction unit based on the matching evaluation result between the vehicle and the construction road surface, including the following specific contents:

[0064] The matching evaluation result between the vehicle and the construction road surface obtained by analysis will be analyzed. If the matching evaluation result between the vehicle and the construction road surface is greater than or equal to the set matching evaluation threshold, no warning will be issued and the vehicle can drive normally. If the matching evaluation result between the vehicle and the construction road surface is less than the set matching evaluation threshold, a warning will be issued and the warning signal will be sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface and the vehicle will be intercepted.

[0065] It should be noted in this embodiment that the setting parameters in this embodiment (such as various weighted weights and safety values, various standard values, etc.) are obtained by experiments by those skilled in the art. The specific experimental method is: obtaining construction road surface data and construction data during historical highway construction, and simultaneously obtaining vehicle operation data passing through the road section, and substituting them into each step of this embodiment to obtain the matching evaluation results between the vehicle and the construction road surface, and simultaneously obtaining the judgment result of whether the filler solidifies normally after solidification (GB / T 50081-2019 "Standard for Test Methods for Mechanical Properties of Ordinary Concrete", GB 50204-2015 "Code for Acceptance of Construction Quality of Concrete Structure Engineering"), based on the judgment result of whether the filler solidifies normally after solidification and the matching evaluation result, importing them into fitting software for iterative fitting of the data, and outputting the setting parameter values ​​that meet the maximum judgment accuracy.

[0066] It should be noted that in this embodiment, this embodiment has the following benefits: construction hazard analysis is performed based on the construction pavement data during highway construction and the foundation conditions in the construction data; the vehicle's operation conditions on the construction pavement are estimated based on the vehicle's operation data in previous sections, and then the impact of the vehicle on the construction pavement is analyzed; based on the analysis results of the vehicle's impact on the construction pavement and the construction hazard analysis results, the matching of the vehicle and the construction pavement is evaluated; based on the evaluation results of the matching of the vehicle and the construction pavement, early warnings are issued to vehicles and construction units; this application comprehensively analyzes the effect of the filler in a vibrating state by quantitatively analyzing the filler condition at the maintenance position, and then quantitatively analyzes the impact of the vehicle and pavement conditions on the solidification effect of the filler, thereby improving the accuracy of vehicle interception.

[0067] Example 2

[0068] like Figure 4As shown, this embodiment provides a highway filler quality inspection and supervision system based on data fusion, including: a data acquisition module, used to obtain construction pavement data and construction data during highway construction, and simultaneously obtain vehicle operation data passing through the road section; a construction hazard analysis module, which performs construction hazard analysis based on construction pavement data during highway construction and foundation conditions in the construction data; a construction pavement impact analysis module, which estimates the operation conditions of the vehicle on the construction pavement based on the vehicle operation data in previous sections, and then analyzes the impact of the vehicle on the construction pavement; a matching evaluation module, which performs matching evaluation between the vehicle and the construction pavement based on the analysis results of the vehicle's impact on the construction pavement and the construction hazard analysis results; and an early warning module, which issues early warnings to vehicles and construction units based on the matching evaluation results between the vehicle and the construction pavement.

[0069] Example 3

[0070] An electronic device according to an embodiment of the present invention includes a processor and a memory. The memory stores a computer program that can be called by the processor. The processor executes a method for inspecting and monitoring the quality of road fillers based on data fusion by calling the computer program stored in the memory. It should be noted that all computer programs in the method for inspecting and monitoring the quality of road fillers based on data fusion are implemented in the C language.

[0071] Example 4

[0072] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0073] When the computer program is run on a computer device, the computer device is caused to execute the above-mentioned method for detecting and supervising highway filler quality based on data fusion.

[0074] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the IoT device and medium embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0075] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0076] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, 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 implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0077] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0080] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0081] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0082] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not preclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0083] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. A method for monitoring and inspecting highway filler quality based on data fusion, characterized in that: The steps include: S1. Acquire construction road surface data and construction data during highway construction, and simultaneously acquire vehicle operation data passing through the road section; S2. Analyze construction hazards based on the construction pavement data and foundation conditions in the construction data during highway construction; The specific steps include: Obtain 3D image data of the normal road surface on the side of the construction road, obtain the height of each point and the height of the road base plane, and analyze the dangerous situation of the road surface based on the distance amplitude and uniformity of the height of each point relative to the base plane. The formula for analyzing the dangerous situation of the road surface is: , where a is the distance amplitude ratio coefficient, which indicates the influence of distance amplitude on road hazard, jl is the distance amplitude hazard value, b is the uniformity influence ratio coefficient, which indicates the influence of road height uniformity on road hazard, and jy is the uniformity of road height; Acquire elastic data of the roadbed, the distance from the normal road surface to the repair location on the side of the construction road surface, the setting time data of the filler, the connection strength at the setting time, and the filling time data of the filler to conduct a vulnerability assessment of the repair location; Obtain the road hazard analysis results and the repair location vulnerability assessment results and multiply them to obtain the construction hazard analysis; S3. Estimate the vehicle's operating conditions on the construction road based on the vehicle's operating data on previous sections of the road, and then analyze the impact of the vehicle on the construction road; S4. Evaluate the compatibility between the vehicle and the construction road surface based on the analysis results of the vehicle's impact on the construction road surface and the analysis results of the construction hazard situation; S5. Issue early warnings to vehicles and construction units based on the matching assessment results between the vehicles and the construction road surface.

2. A method for monitoring and inspecting highway filler quality based on data fusion according to claim 1, characterized in that: The method of estimating the operation status of a vehicle on a construction road based on the operation data of the vehicle on previous sections and then analyzing the impact of the vehicle on the construction road includes the following specific steps: Obtain the vibration condition of the vehicle on the preceding road section and the road hazard condition of the preceding road section; The vehicle vibration abnormality is analyzed based on the vibration condition of the vehicle on the previous road section. The vehicle vibration abnormality analysis formula is: , where rt is the vibration amplitude at time t, T is the driving time on the previous road section, dt is the time integral, and rm is the amplitude safety value; Obtain the abnormal vibration of the vehicle, the dangerous condition of the road surface in the front section and the dangerous condition of the road surface in the construction section to obtain the impact value of the vehicle in the construction section.

3. A method for monitoring and inspecting highway filler quality based on data fusion according to claim 2, characterized in that: The vehicle-construction ... The calculated construction hazard analysis results and the impact value of the vehicle on the construction section are obtained, and a weighted sum of the construction hazard analysis results and the impact value of the vehicle on the construction section is taken and the inverse is calculated to obtain a matching evaluation result between the vehicle and the construction road surface.

4. A method for monitoring and inspecting highway filler quality based on data fusion according to claim 3, characterized in that: The above-mentioned early warning for vehicles and construction units based on the matching evaluation results between vehicles and construction road surfaces includes the following specific contents: The matching evaluation result between the vehicle and the construction road surface obtained by analysis will be analyzed. If the matching evaluation result between the vehicle and the construction road surface is greater than or equal to the set matching evaluation threshold, no warning will be issued and the vehicle can drive normally. If the matching evaluation result between the vehicle and the construction road surface is less than the set matching evaluation threshold, a warning will be issued and the warning signal will be sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface and the vehicle will be intercepted.

5. A method for monitoring and inspecting highway filler quality based on data fusion according to claim 4, characterized in that: The maintenance location vulnerability assessment formula is: , where L of the construction road is the normal road length of the construction section, exp() is the power of the natural constant e, and s() is a piecewise function. If the number in the brackets is less than 0, then The value is , if the number in the brackets is greater than or equal to 0, then The value is 0, Pz is the connection strength at the solidification time, Pm is the standard value of the connection strength, tm is the solidification time of the filler, ts is the filling time of the filler, dlz is the integral of the pavement length, Fs is the elastic data of the roadbed, Fm is the standard elastic data, Ym is the safety distance, and Ylz is the distance to the maintenance position when the pavement length is lz.

6. A method for monitoring and inspecting highway filler quality based on data fusion according to claim 5, characterized in that: The construction road surface data includes three-dimensional image data of the normal road surface on the side of the construction road surface and data on the construction filler laying conditions. The construction data includes elastic data of the roadbed. The vehicle operation data passing through the road section includes operation data of vehicles passing through the corresponding construction road section in the next stage, wherein the vehicle operation data includes vehicle vibration data.

7. A road filler quality inspection and supervision system based on data fusion, which is implemented based on a road filler quality inspection and supervision method based on data fusion according to any one of claims 1 to 6, characterized in that: The system comprises: The data acquisition module is used to obtain the construction road surface data and construction data during the highway construction process, and also obtain the vehicle operation data passing through the road section; The construction hazard analysis module analyzes construction hazard conditions based on the construction pavement data and foundation conditions in the construction data during highway construction; The construction road impact analysis module estimates the vehicle's operation on the construction road based on the vehicle's operation data on previous road sections, and then analyzes the vehicle's impact on the construction road; Compatibility assessment module, which evaluates the compatibility between vehicles and construction pavement based on the analysis results of the impact of vehicles on the construction pavement and the analysis results of construction hazards; The early warning module provides early warning to vehicles and construction units based on the matching assessment results between vehicles and construction road surfaces.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a highway filler quality detection and supervision method based on data fusion as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

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