Road filler quality detection supervision method and system based on data fusion

Abstract

The invention relates to the technical field of highway engineering, in particular to a highway filler quality detection and supervision method and system based on data fusion, and aims to estimate the operation condition of a vehicle on a construction pavement based on the operation data of the vehicle on the previous road section so as to analyze the influence of the vehicle on the construction pavement. Carrying out the matching evaluation of the vehicle and the construction pavement based on the impact analysis result of the vehicle on the construction pavement and the construction dangerous condition analysis result, and carrying out the early warning of the vehicle and a construction unit based on the matching evaluation result of the vehicle and the construction pavement. According to the method, the keeping effect of the filler in the vibration state is comprehensively analyzed through quantitative analysis of the filler condition of the maintenance position, then quantitative analysis is conducted on the influence of the vehicle and road surface conditions on the solidification effect of the filler, and the accuracy of vehicle interception is improved.

Description

Technical Field

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

[0002] During the process of road surface repair, usually only the road surface to be maintained is shielded for construction (as shown in Figure 5 ). In recent years, with the increasing traffic on roads, the maintenance and repair work of urban roads has become more urgent. As a common repair method, filler repair is widely used in the repair of road surface cracks and damages. However, during the actual construction process, it is impossible to completely prohibit the passage of vehicles beside the construction area. Especially for high-traffic roads such as urban main roads, such restrictions often cause huge traffic pressure. Although some traffic guidance measures are set up in some construction areas, these measures usually cannot completely eliminate the impact of vehicle vibration on the repair area. The vibration generated by vehicle passage will be transmitted to the unfixed filler through the road surface, causing the filler to bear periodic lateral stress. This stress will increase the strain and deformation of the filler, thereby affecting its solidification effect, reducing the strength and stability of the repair area, and shortening the service life after repair. The existing technical solutions have obvious deficiencies in monitoring and analyzing the influence of vehicle and road surface factors on filler solidification. Traditional monitoring methods usually rely on manual inspection and empirical judgment, lacking precise quantitative analysis means. This makes it difficult for the construction party to accurately evaluate the specific impact of vehicle passage on the repair effect and unable to take effective measures in time to prevent the solidification effect from being damaged due to vehicle vibration. The existing technology cannot quantitatively analyze the influence of vehicle and road surface conditions on the solidification effect of the filler, so it is impossible to accurately detect and intercept vehicles that will cause the solidification effect of the filler to deteriorate. The existing technology cannot solve the corresponding problems; To solve these problems, the present application designs a method and system for detecting and supervising the quality of highway fillers based on data fusion. Summary of the Invention

[0003] In order to overcome the defects and deficiencies existing in the prior art, the present invention provides a method and system for detecting and supervising the quality of highway fillers based on data fusion.

[0004] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for detecting and supervising the quality of highway fillers based on data fusion, including the following steps: S1. Obtain the construction road surface data and construction data during highway construction, and at the same time obtain the vehicle operation data of the passing section; S2. Analyze the construction danger situation based on the foundation conditions in the construction road surface data and construction data during highway construction; S3. Estimate the vehicle's operating conditions on the construction road surface based on the vehicle's operating data on previous sections, and then analyze the impact of the vehicle on the construction road surface; S4. Conduct a matching assessment of 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 danger situation; S5. Issue warnings to the vehicle and the construction unit based on the matching assessment results of the vehicle and the construction road surface.

[0005] In an implementation manner of the present invention, 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 laying situation of the filling material for construction. Among them, the data on the laying situation of the filling material includes the solidification time data of the filling material, the connection strength of the solidification time, and the filling time data of the filling material. The construction data includes the elastic data of the roadbed. The vehicle operating data on the passing section includes the operating data of the vehicle passing through the corresponding construction section in the next stage. Among them, the vehicle operating data includes the vibration data of the vehicle, and the vehicle vibration data is obtained by vibration or displacement sensors installed on the vehicle surface.

[0006] In an implementation manner of the present invention, in step S2, the analysis of the construction danger situation includes the following specific steps: S21. Obtain the 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 danger situation of the road surface based on the distance amplitude and uniformity of the height of each point relative to the reference plane. Among them, the road surface danger situation analysis formula is: , where a is the distance amplitude proportion coefficient, indicating the influence degree of the distance amplitude on the road surface danger, jl is the distance amplitude danger value, b is the uniformity influence proportion coefficient, indicating the influence of the uniformity of the road surface height on the road surface danger, jy is the uniformity of the road surface height. Among them, the calculation method of the distance amplitude danger value is: , where m is the number of points on the normal road surface on the side, Lc is the distance amplitude of the c-th road surface point on the side relative to the reference plane height, LK is the road surface thickness. Among them, the calculation formula of the uniformity of the road surface height is: , where Lcz is the average height of the road surface points. In this formula, the uniformity and degree of damage of the road obtained are used to analyze the road surface danger situation; S22. Obtain the elastic data of the roadbed, the distance from the normal road surface on the side of the construction road surface to the maintenance position, the solidification time data of the filling material, the connection strength of the solidification time, and the filling time data of the filling material to conduct an assessment of the vulnerability of the maintenance position; S23. Multiply the analysis results of the road surface danger situation and the assessment results of the vulnerability of the maintenance position to obtain the analysis of the construction danger situation; In an implementation manner of the present invention, in step S3, based on the operation data of the vehicle on the previous section of the road, the operation situation of the vehicle on the construction road surface is estimated, and further analyzing the influence of the vehicle on the construction road surface includes the following specific steps: S31. Obtain the vibration situation of the vehicle on the previous section of the road surface and the road surface danger situation of the previous section of the road surface; S32. Analyze the abnormal vibration of the vehicle based on the vibration situation of the vehicle on the previous section of the road surface. Among them, the formula for analyzing the abnormal vibration of the vehicle is: , where rt is the vibration amplitude at time t, T is the driving time on the previous section of the road surface, dt is the time integral, and rm is the amplitude safety value; S33. Obtain the abnormal vibration of the vehicle, the road surface danger situation of the previous section of the road surface, and the road surface danger situation of the construction section to obtain the influence value of the vehicle on the construction section; In this step, the vibration situation of the vehicle on the construction section is evaluated by comparing the danger levels of the front and rear sections of the road, and then the influence of the vibration situation of the vehicle on the construction section on the construction section is analyzed.

[0007] In an implementation manner of the present invention, in step S4, based on the analysis result of the influence of the vehicle on the construction road surface and the analysis result of the construction danger situation, the matching evaluation of the vehicle and the construction road surface is carried out, including the following specific contents: Obtain the calculated analysis result of the construction danger situation and the influence value of the vehicle on the construction section, perform weighted summation of the analysis result of the construction danger situation and the influence value of the vehicle on the construction section, and then take the reciprocal to obtain the matching evaluation result of the vehicle and the construction road surface.

[0008] In an implementation manner of the present invention, in step S5, based on the matching evaluation result of the vehicle and the construction road surface, early warnings are given to the vehicle and the construction unit, including the following specific contents: Regarding the obtained matching evaluation result of the vehicle and the construction road surface, if the matching evaluation result of the vehicle and the construction road surface is greater than or equal to the set matching evaluation threshold, no early warning is given, and the vehicle can drive normally. If the matching evaluation result of the vehicle and the construction road surface is less than the set matching evaluation threshold, an early warning is given, and the warning signal is sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface, and the vehicle is intercepted.

[0009] In a second aspect, the present invention also provides a highway filler quality detection and supervision system based on data fusion, including: A data acquisition module, which is used to acquire the construction road surface data and construction data during the highway construction process, and at the same time acquire the vehicle operation data of the passing section; A construction danger analysis module, which analyzes the construction danger situation based on the construction road surface data and the foundation situation in the construction data during the highway construction process; The construction road surface impact analysis module estimates the operation conditions of vehicles on the construction road surface based on the operation data of vehicles on previous road sections, and then analyzes the impact of vehicles on the construction road surface; The matching evaluation module evaluates the matching between the vehicle and the construction road surface based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of construction danger situations; The early warning module gives early warnings to the vehicle and the construction unit based on the matching evaluation results between the vehicle and the construction road surface.

[0010] Thirdly, an electronic device provided by the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes a method for detecting and supervising the quality of highway fillers based on data fusion by calling the computer program stored in the memory.

[0011] Fourthly, a computer-readable storage medium provided by the present invention stores instructions. When the instructions run on a computer, the computer is made to execute a method for detecting and supervising the quality of highway fillers based on data fusion.

[0012] Compared with the prior art, the present invention has the following advantages and beneficial effects: Based on the construction road surface data and the foundation conditions in the construction data during the highway construction process, the present invention analyzes the construction danger situations, estimates the operation conditions of vehicles on the construction road surface based on the operation data of vehicles on previous road sections, and then analyzes the impact of vehicles on the construction road surface. Based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of construction danger situations, the present invention evaluates the matching between the vehicle and the construction road surface, and gives early warnings to the vehicle and the construction unit based on the matching evaluation results between the vehicle and the construction road surface. This application comprehensively analyzes the retention effect of the filler under the vibration state by quantitatively analyzing the filler situation at the repair position, and then quantitatively analyzes the impact of the vehicle and road surface conditions on the solidification effect of the filler, improving the accuracy of vehicle interception. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes and advantages of the present invention will become more obvious: Figure 1 It is a schematic diagram of the overall flow of the method of the present invention; Figure 2 It is a working flow diagram of S2 in the method of the present invention; Figure 3 It is a working flow diagram of S3 in the method of the present invention; Figure 4 It is a schematic diagram of the structure of the system of the present invention; Figure 5 It is a schematic diagram of the scenario of the present invention. Specific Embodiments

[0014] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present invention are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.

[0015] Embodiment 1

[0016] As Figure 5 shown, it is a schematic diagram of the scenario of this application. During the process of road surface repair, usually only the road surface to be maintained is shielded for construction, and it is very rare to close all road surfaces for construction. The transmissibility of the vibration of the vehicles beside on the elastic road surface will cause periodic lateral stress on the unfixed filler, resulting in strain and deformation of the filler. Because the vibration will generate additional stress on the filler, increasing its deformation, which leads to the destruction of the internal structure of the filler, affecting its solidification process and final strength. Secondly, the unfixed filler lacks sufficient strength and stability and is difficult to withstand the externally applied vibration stress, resulting in the stratification, cracking or flowing of the filler, affecting the repair effect. Especially on roads with high traffic flow, lateral vibrations occur frequently, which may exacerbate the damage of the filler; As Figures 1 to 3 shown, this embodiment provides a method for detecting and supervising the quality of highway filler based on data fusion, which specifically includes the following steps: S1. Obtain the construction road surface data and construction data during the highway construction process, and at the same time obtain the vehicle operation data of the passing vehicles; In this embodiment, the construction road surface data includes the three-dimensional image data of the normal road surface on the side of the construction road surface and the data of the laying situation of the filler. Among them, the three-dimensional image data of the normal road surface on the side of the construction road surface can be obtained by a drone carrying a three-dimensional imaging module for three-dimensional imaging of the road surface. Among them, the data of the laying situation of the filler includes the solidification time data of the filler, the connection strength of the solidification time, and the filling time data of the filler. Here, different fillers have different solidification times in different environments. Therefore, the solidification times of the corresponding fillers in different environments can be obtained through experiments; Exemplarily, the solidification times of historical fillers in different environments can be obtained, and a deep learning neural network with the filler and the environment as the input and the solidification time as the output can be constructed to obtain the solidification times of different fillers in different environments under the corresponding environment. The construction data includes the elastic data of the roadbed, and the vehicle operation data of the passing vehicles includes the operation data of the vehicles passing through the corresponding construction section in the next stage. Among them, the vehicle operation data includes the vibration data of the vehicle, and the vibration data of the vehicle is obtained by vibration or displacement sensors installed on the vehicle surface. Exemplarily, the vibration data of the vehicle is the vibration amplitude and vibration frequency; S2. Analyze the construction danger situation based on the construction road surface data and the foundation conditions in the construction data during the highway construction process; In this embodiment, the analysis of the construction danger situation in step S2 includes the following specific steps: S21. Obtain the 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 danger situation of the road surface based on the distance amplitude and uniformity of the height of each point relative to the reference plane. Among them, the formula for analyzing the danger situation of the road surface is: , where a is the distance amplitude ratio coefficient, indicating the influence degree of the distance amplitude on the road surface danger, jl is the distance amplitude danger value, b is the uniformity influence ratio coefficient, indicating the influence of the uniformity of the road surface height on the road surface danger, jy is the uniformity of the road surface height. Among them, the calculation method of the distance amplitude danger value is: , where m is the number of normal road surface points on the side, Lc is the distance amplitude of the height of the c-th normal road surface point on the side relative to the reference plane, LK is the road surface thickness. Among them, 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 danger situation of the road surface is analyzed through the obtained uniformity and degree of damage of the road. In this embodiment, for example, the distance amplitude ratio coefficient is 0.6, and the uniformity influence ratio coefficient is 0.4; S22. Obtain the elastic data of the roadbed, the distance from the normal road surface on the side of the construction road surface to the repair position, the solidification time data of the filler, the connection strength of the solidification time, and the filling time data of the filler to conduct an assessment of the vulnerability of the repair position. Among them, the formula for assessing the vulnerability of the repair position is: , where L of the construction road surface is the length of the normal road surface of the construction section, exp() is the exponential power of the natural constant e, s() is a piecewise function. If the number in the parentheses is less than 0, then takes the value of , if the number in the parentheses is greater than or equal to 0, then takes the value of 0, Pz is the connection strength of 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 road surface length, Fs is the elastic data of the roadbed, Fm is the standard elastic data, Ym is the safety distance, Ylz is the distance to the repair position when the road surface length is lz. In this scheme, the transmission of vibration is analyzed through the elasticity of the road surface, and then the strength of the filler during the solidification process is evaluated to comprehensively analyze the holding effect of the filler under the vibration state. At the same time, the elasticity here characterizes the strength of the vibration transmission. If the elasticity is greater, the vibration transmission is stronger; S23. Multiply the analysis result of the road surface danger situation and the assessment result of the vulnerability of the repair position to obtain the analysis of the construction danger situation; S3. Estimate the vehicle's operating conditions on the construction road surface 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 surface; In this embodiment, the step S3 of estimating the vehicle's operating conditions on the construction road surface based on the vehicle's operating data on previous sections of the road and then analyzing the impact of the vehicle on the construction road surface includes the following specific steps: S31. Obtain the vibration condition of the vehicle on the previous road section and the road hazard condition of the previous road section; S32. Analyze the abnormal vibration of the vehicle based on the vibration condition of the vehicle on the previous road section. Among them, the formula for analyzing the abnormal vibration 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; among them, the amplitude preferably refers to the impact of the up-and-down amplitude on the construction road surface, or the combined impact of the up-and-down amplitude and the left-and-right amplitude; S33. Obtain the abnormal vibration of the vehicle, the road hazard condition of the previous road section, and the road hazard condition of the construction section to obtain the impact value of the vehicle on the construction section. Among them, the formula for calculating the impact value of the vehicle on the construction section is: , where wxh is the road hazard condition of the construction section, wxz is the road hazard condition of the previous road section, M is the vehicle weight, and Mm is the vehicle weight safety value of the road surface in the construction section; In this step, the vibration condition of the vehicle on the construction section is evaluated by comparing the hazards of the front and rear road sections, and then the impact of the vehicle's vibration condition on the construction section is analyzed; S4. Conduct a matching evaluation of the vehicle and the construction road surface based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of the construction hazard conditions; In this embodiment, the step S4 of conducting a matching evaluation of the vehicle and the construction road surface based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of the construction hazard conditions includes the following specific contents: Obtain the analysis results of the construction hazard conditions and the impact value of the vehicle on the construction section, and perform a weighted sum of the analysis results of the construction hazard conditions and the impact value of the vehicle on the construction section and then take the reciprocal to obtain the matching evaluation result of the vehicle and the construction road surface; S5. Issue early warnings to the vehicle and the construction unit based on the matching evaluation results of the vehicle and the construction road surface; In this embodiment, the step S5 of issuing early warnings to the vehicle and the construction unit based on the matching evaluation results of the vehicle and the construction road surface includes the following specific contents: For the matching evaluation result of the vehicle and the construction road surface obtained through analysis, if the matching evaluation result of the vehicle and the construction road surface is greater than or equal to the set matching evaluation threshold, no warning is given, and the vehicle can drive normally. If the matching evaluation result of the vehicle and the construction road surface is less than the set matching evaluation threshold, a warning is given, and the warning signal is sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface, and the vehicle is intercepted.

[0017] It should be noted in this embodiment that the acquisition methods of the set parameters (such as various weighting weights, safety values, various standard values, etc.) in this embodiment are obtained through experiments by those skilled in the art. The specific experimental method is as follows: Obtain the construction road surface data and construction data during the historical highway construction process, and at the same time obtain the vehicle operation data of the passing sections, substitute them into each step of this embodiment to obtain the matching evaluation result of the vehicle and the construction road surface, and at the same time obtain the judgment result of whether the filler solidifies normally after solidification (GB / T 50081-2019 "Standard for Test Methods of Mechanical Properties of Ordinary Concrete", GB 50204-2015 "Code for Acceptance of Construction Quality of Concrete Structures"). Based on the judgment result of whether the filler solidifies normally after solidification and the matching evaluation result, import them into the fitting software for iterative fitting of data, and output the set parameter values that meet the maximum judgment accuracy rate.

[0018] It should be noted in this embodiment that this embodiment has the following advantages: Analyze the construction danger situation based on the foundation conditions in the construction road surface data and construction data during the highway construction process, estimate the vehicle operation situation on the construction road surface based on the vehicle operation data in the previous sections, and then analyze the impact of the vehicle on the construction road surface. Based on the analysis result of the impact of the vehicle on the construction road surface and the analysis result of the construction danger situation, conduct a matching evaluation of the vehicle and the construction road surface. Based on the matching evaluation result of the vehicle and the construction road surface, give a warning to the vehicle and the construction unit. This application comprehensively analyzes the retention effect of the filler under the vibration state by quantitatively analyzing the filler situation at the maintenance position, and then quantitatively analyzes the impact of the vehicle and road surface conditions on the solidification effect of the filler, improving the accuracy of vehicle interception.

[0019] Embodiment 2

[0020] Such as Figure 4As shown in the figure, this embodiment provides a highway filler quality inspection and supervision system based on data fusion, including: a data acquisition module, which is used to acquire the construction road surface data and construction data during the highway construction process, and at the same time acquire the vehicle operation data of the passing section; a construction hazard analysis module, which analyzes the construction hazard situation based on the construction road surface data and the foundation situation in the construction data during the highway construction process; a construction road surface impact analysis module, which estimates the vehicle operation situation on the construction road surface based on the vehicle operation data on the previous section, and then analyzes the impact of the vehicle on the construction road surface; a matching evaluation module, which evaluates the matching of the vehicle and the construction road surface based on the analysis results of the vehicle's impact on the construction road surface and the construction hazard situation analysis results; an early warning module, which gives early warnings to the vehicle and the construction unit based on the matching evaluation results of the vehicle and the construction road surface.

[0021] Embodiment 3

[0022] An electronic device according to an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes a highway filler quality inspection and supervision method based on data fusion by calling the computer program stored in the memory. It should be noted that: all computer programs of a highway filler quality inspection and supervision method are implemented using the C language.

[0023] Embodiment 4

[0024] This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned highway filler quality inspection and supervision method based on data fusion.

[0025] Each embodiment in the present invention is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0026] The systems and media provided by the embodiments of the present invention correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0027] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0028] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and combinations of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0029] These computer program instructions can 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, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0030] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0031] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0032] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. 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 disk read-only memory (CD-ROM), digital versatile disk (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 temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0033] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity or device including the element.

[0034] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A quality inspection and supervision method for highway fillers based on data fusion, characterized in that It includes the following steps: S1. Obtain the construction road surface data and construction data during the highway construction process, and at the same time obtain the vehicle operation data of the passing section; S2. Analyze the construction danger situation based on the construction road surface data and the foundation condition in the construction data during the highway construction process; S3. Estimate the vehicle operation situation on the construction road surface based on the vehicle operation data on the previous section, and then analyze the impact of the vehicle on the construction road surface; S4. Conduct a matching evaluation of the vehicle and the construction road surface based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of the construction danger situation; S5. Issue early warnings to the vehicle and the construction unit based on the matching evaluation results of the vehicle and the construction road surface.

2. The method for quality inspection and supervision of highway fillers based on data fusion according to claim 1, characterized in that, The analysis of the construction danger situation includes the following specific steps: Obtain the 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 surface, 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 surface. Among them, the formula for analyzing the dangerous situation of the road surface is: , where a is the distance amplitude proportion coefficient, indicating the influence degree of the distance amplitude on the road surface danger, jl is the distance amplitude danger value, b is the uniformity influence proportion coefficient, indicating the influence of the uniformity of the road surface height on the road surface danger, and jy is the uniformity of the road surface height; Obtain the elastic data of the roadbed, the distance from the normal road surface on the side of the construction road surface to the maintenance position, the solidification time data of the filler, the connection strength of the solidification time, and the filling time data of the filler for the vulnerability assessment of the maintenance position; Obtain the analysis results of the road surface danger situation and the vulnerability assessment results of the maintenance position, and multiply them to obtain the analysis of the construction danger situation.

3. The method for quality inspection and supervision of highway fillers based on data fusion according to claim 2, characterized in that, The estimation of the vehicle operation situation on the construction road surface based on the vehicle operation data on the previous section, and then the analysis of the impact of the vehicle on the construction road surface includes the following specific steps: Obtain the vibration situation of the vehicle on the previous road surface and the road surface danger situation of the previous road surface; Analyze the abnormal vibration of the vehicle based on the vibration condition of the vehicle on the front-section road surface. Among them, the formula for analyzing the abnormal vibration of the vehicle is: , where rt is the vibration amplitude at time t, T is the driving time on the front-section road surface, dt is the time integral, and rm is the amplitude safety value; Obtain the vibration abnormality of the vehicle, the road surface danger situation of the previous road surface, and the road surface danger situation of the construction section to obtain the influence value of the vehicle on the construction section.

4. A quality inspection and supervision method for highway fillers based on data fusion according to claim 3, characterized in that, The matching evaluation of the vehicle and the construction road surface based on the analysis results of the impact of the vehicle on the construction road surface and the analysis results of the construction danger situation includes the following specific contents: Obtain the analysis results of the construction danger situation and the influence value of the vehicle on the construction section calculated, conduct a weighted sum of the analysis results of the construction danger situation and the influence value of the vehicle on the construction section, and then take the reciprocal to obtain the matching evaluation results of the vehicle and the construction road surface.

5. A quality inspection and supervision method for highway fillers based on data fusion according to claim 4, characterized in that, The early warning to the vehicle and the construction unit based on the matching evaluation results of the vehicle and the construction road surface includes the following specific contents: Regarding the analysis results of the matching evaluation of the vehicle and the construction road surface obtained, if the matching evaluation results of the vehicle and the construction road surface are greater than or equal to the set matching evaluation threshold, no early warning is issued, and the vehicle can drive normally; if the matching evaluation results of the vehicle and the construction road surface are less than the set matching evaluation threshold, an early warning is issued, and the warning signal is sent to the vehicle and the construction unit. The vehicle cannot drive normally on the construction road surface, and the vehicle is intercepted.

6. The method for quality inspection and supervision of highway fillers based on data fusion according to claim 5, characterized in that, The vulnerable assessment formula for the repair location is as follows: , 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, s() is a piecewise function. If the number in the parentheses is less than 0, takes the value of , if the number in the parentheses is greater than or equal to 0, takes the value of 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 road surface 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 repair location when the road surface length is lz.

7. A quality inspection and supervision method for highway fillers based on data fusion according to claim 6, characterized in that, The construction road surface data includes the three-dimensional image data of the normal road surface on the side of the construction road surface and the data of the filler laying situation of the construction. The construction data includes the elastic data of the roadbed. The vehicle operation data of the passing section includes the operation data of the vehicles passing through the corresponding construction section in the next stage. Among them, the vehicle operation data includes the vibration data of the vehicle.

8. A highway filler quality inspection and supervision system based on data fusion, which is implemented based on the method for inspecting and supervising the quality of highway fillers based on data fusion described in any one of claims 1-7, characterized in that, The system includes: A data acquisition module for obtaining the construction road surface data and construction data during the highway construction process, and at the same time obtaining the vehicle operation data of the passing section; The construction hazard analysis module analyzes construction hazard situations based on the construction road surface data and the foundation conditions in the construction data during the highway construction process; The construction road surface impact analysis module estimates the vehicle's operation on the construction road surface based on the vehicle's operation data on previous sections, and then analyzes the vehicle's impact on the construction road surface; The matching evaluation module evaluates the matching 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 construction hazard situation analysis results; The warning module warns the vehicle and the construction unit based on the matching evaluation results between the vehicle and the construction road surface.

9. 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 method for quality inspection and supervision of highway fillers based on data fusion as described in any one of claims 1-7 by calling the computer program stored in the memory.

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