A detection device and method for softening point of highway asphalt material

Abstract

The invention relates to the technical field of softening point detection, and specifically discloses a detection device and method for the softening point of highway asphalt materials, comprising: analyzing the highway surface to obtain the softening point of the highway surface; analyzing the softening point of a target area to determine whether the target area needs to be repaired; further analyzing the regional softening point analysis parameters to find areas on the highway surface that potentially need to be repaired; determining whether the highway needs to be repaired as a whole according to the areas on the highway surface that need to be repaired and the areas on the highway surface that potentially need to be repaired; the invention can adopt different repair measures for areas with different wear degrees and softening points by dividing the areas on the highway surface and detecting the softening point, thereby improving the pertinence and efficiency of the repair work; by identifying the areas that potentially need to be repaired, preventive repair measures can be implemented, potential problems can be dealt with in a timely manner, problems can be avoided from expanding, and the service life of the highway can be extended.

Description

Technical Field

[0001] The invention relates to the technical field of softening point detection, and in particular to a device and method for detecting the softening point of a highway asphalt material. Background Art

[0002] Asphalt, as an indispensable and important material in highway construction, is widely used in various road paving and maintenance projects. Its unique adhesion and durability enable the road surface to withstand repeated vehicle rolling and the test of various climatic conditions. However, the performance of asphalt is not static. It will gradually age and wear with the increase of usage time and the influence of the external environment. Therefore, accurately evaluating the performance status of asphalt is crucial to ensuring the safety and durability of roads.

[0003] Among the many indicators for evaluating asphalt performance, softening point is a particularly critical parameter. Softening point refers to the temperature at which asphalt begins to soften significantly under certain conditions. It reflects the stability and deformation resistance of asphalt at high temperatures. When the softening point of asphalt is too low, it means that in a high temperature environment, asphalt is easy to soften and flow, resulting in rutting, potholes and other defects on the road surface. On the contrary, if the softening point is too high, the asphalt can still maintain a high hardness at high temperatures, but this may cause it to become too brittle at low temperatures and prone to cracking.

[0004] A Chinese invention patent with publication number CN110672463A discloses a method for monitoring the softening point of asphalt, which includes the following steps: a) during the asphalt production process, monitoring the asphalt specific gravity and asphalt temperature in the asphalt finished product output pipeline; b) calculating the asphalt softening point based on the monitored asphalt specific gravity and asphalt temperature data and a pre-fitted asphalt softening point calculation formula.

[0005] However, traditional methods can often only analyze a local area of ​​the road surface, and it is difficult to achieve comprehensive detection and analysis of the entire road surface. Traditional methods can usually only identify problems that have already occurred, but it is difficult to predict potential problem areas, making preventive repair work difficult to carry out. Summary of the invention

[0006] The purpose of the present invention is to provide a device and method for detecting the softening point of highway asphalt materials to solve the technical problems in the above background.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] In a first aspect, a device and method for detecting the softening point of a highway asphalt material comprises the following steps:

[0009] Step 1: Analyze the road surface to obtain the softening point of the road surface;

[0010] Step 2: Analyze the softening points in the target area to determine whether the target area needs to be repaired;

[0011] Step 3: Further analyze the regional softening point analysis parameters to find areas on the road surface that potentially need repair;

[0012] Step 4: Determine whether the highway needs to be repaired as a whole based on the areas on the highway surface that need to be repaired and the areas on the highway surface that may need to be repaired. The specific method is as follows:

[0013] D1: Obtain the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired;

[0014] D2: By formula: , calculate and obtain highway analysis parameters, where F represents the highway analysis parameters, N represents the number of highway surface areas that need to be repaired, and M represents the number of highway surface areas that potentially need to be repaired. are preset scaling factors, and are all greater than 0;

[0015] D3: Compare and analyze the highway analysis parameters to determine whether the highway needs overall repair;

[0016] Preset a highway analysis parameter threshold, and compare and analyze the highway analysis parameter with the highway analysis parameter threshold;

[0017] If the highway analysis parameter is less than the highway analysis parameter threshold, it is determined that the highway does not need overall repair;

[0018] If the highway analysis parameter ≥ the highway analysis parameter threshold, it is determined that the highway needs overall repair.

[0019] As a further solution of the present invention: the road surface is analyzed to obtain the softening point of the road surface, and the specific method is:

[0020] A1: Divide the road surface into regions according to the wear and tear of the road surface;

[0021] A2: Perform softening point detection on each area divided on the road surface respectively, so as to obtain the softening point of each area.

[0022] As a further solution of the present invention: the road surface is divided into regions according to the wear condition of the road surface, and the specific method is as follows:

[0023] A laser transmitter is set up on the surface of the road, and a laser beam with a fixed wavelength and frequency is emitted to the surface of the road by the laser transmitter;

[0024] The reflected laser is received by a laser receiver, and the wear degree of the road surface is evaluated according to the characteristics of the reflected laser to obtain a wear degree characterization value. The road surface is divided into regions according to the wear degree characterization value of the road surface, and regions with equal wear degree characterization values ​​are divided into one region, thereby dividing the road surface into multiple regions.

[0025] As a further solution of the present invention: the specific method for obtaining the softening point of each region is:

[0026] A21: Select asphalt samples in the target area;

[0027] A22: Heating the asphalt sample;

[0028] The asphalt sample is heated by setting an appropriate heating rate through a temperature controller to gradually soften it;

[0029] A23: Observe asphalt deformation;

[0030] During the heating process, a high-definition camera is used to observe the deformation of the asphalt sample in real time and record the temperature point at which the asphalt begins to deform significantly.

[0031] A24: Calculate the softening point of asphalt samples;

[0032] The softening point of asphalt is calculated based on the recorded deformation temperature points of asphalt and the heating rate data of the temperature controller;

[0033] A25: Calculate the softening point of the area;

[0034] Repeatedly select asphalt samples at different locations in the target area, and calculate the softening points of the asphalt samples respectively. The softening points of all asphalt samples in the target area are averaged, and the obtained average softening point value of the asphalt samples is marked as the softening point of the target area.

[0035] As a further solution of the present invention: the specific method for determining whether the target area needs to be repaired is as follows:

[0036] B1: Establish a road surface softening point analysis diagram and obtain regional softening point analysis parameters;

[0037] B2: Compare and analyze the regional softening point analysis parameters to determine whether the target area needs to be repaired.

[0038] As a further solution of the present invention: the specific method of establishing the road surface softening point analysis diagram and obtaining the regional softening point analysis parameters is as follows:

[0039] Establish a road surface softening point analysis diagram with XYZ as the three-dimensional coordinate system, where the two-dimensional plane established by the XY axis is the road surface, and the road surface is divided according to regions; the Z axis is the regional softening point, and the regional softening points of all regions of the road surface are connected by smooth surfaces, and the smooth surfaces used for connection are marked as road surface softening point analysis surfaces;

[0040] Draw a threshold plane in the urban area reconstruction analysis diagram, whose Z-axis value is the road surface softening point threshold and is parallel to the XY plane;

[0041] The volume enclosed by the road surface softening point analysis surface and the threshold plane in the target area is calculated, the obtained volume is marked as a volume parameter, and the ratio of the volume parameter to the volume parameter threshold is marked as a regional softening point analysis parameter.

[0042] As a further solution of the present invention: the method further comprises:

[0043] Preset the regional softening point analysis parameter threshold, and compare and analyze the regional softening point analysis parameter with the regional softening point analysis parameter threshold;

[0044] If the regional softening point analysis parameter is less than the regional softening point analysis parameter threshold, it is determined that the target area does not need to be repaired;

[0045] If the regional softening point analysis parameter is greater than or equal to the regional softening point analysis parameter threshold, it is determined that the target area needs to be repaired.

[0046] As a further solution of the present invention: the specific method for finding the area on the road surface that potentially needs to be repaired is as follows:

[0047] C1: Obtain the softening point analysis parameters of the area adjacent to the target area, perform difference calculations with the softening point analysis parameters of the target area, take the absolute values, obtain the absolute differences, and sum up all the absolute differences to obtain the softening point potential analysis parameters;

[0048] C2: Compare and analyze the potential analysis parameters of the softening point to obtain the areas on the road surface that potentially need repair.

[0049] As a further solution of the present invention: the method further comprises:

[0050] Preset a softening point potential analysis parameter threshold, and compare and analyze the softening point potential analysis parameter with the softening point potential analysis parameter threshold;

[0051] If the softening point potential analysis parameter is less than the softening point potential analysis parameter threshold, the target area and the area adjacent to the target area are determined as potential areas that need to be repaired;

[0052] If the softening point potential analysis parameter is greater than or equal to the softening point potential analysis parameter threshold, it is determined that the target area and the area adjacent to the target area are not areas that potentially need to be repaired.

[0053] In a second aspect, a device for detecting the softening point of a highway asphalt material is provided, wherein the device implements a method as described in any one of the above methods, and is characterized by comprising:

[0054] A softening point acquisition module, wherein the softening point acquisition module is used to analyze the road surface to obtain the softening point of the road surface;

[0055] A softening point analysis module, which is used to analyze the softening point of the target area to determine whether the target area needs to be repaired;

[0056] A softening point secondary analysis module, which is used to further analyze regional softening point analysis parameters, thereby finding areas on the road surface that potentially need to be repaired;

[0057] The highway surface analysis module is used to determine whether the highway needs to be repaired as a whole according to the highway surface area that needs to be repaired and the highway surface area that potentially needs to be repaired. The specific method is as follows:

[0058] D1: Obtain the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired;

[0059] D2: By formula: , calculate and obtain highway analysis parameters, where F represents the highway analysis parameters, N represents the number of highway surface areas that need to be repaired, and M represents the number of highway surface areas that potentially need to be repaired. are preset scaling factors, and are all greater than 0;

[0060] D3: Compare and analyze the highway analysis parameters to determine whether the highway needs overall repair;

[0061] Preset a highway analysis parameter threshold, and compare and analyze the highway analysis parameter with the highway analysis parameter threshold;

[0062] If the highway analysis parameter is less than the highway analysis parameter threshold, it is determined that the highway does not need overall repair;

[0063] If the highway analysis parameter ≥ the highway analysis parameter threshold, it is determined that the highway needs overall repair.

[0064] Beneficial effects of the present invention:

[0065] (1) The present invention can adopt different repair measures for areas with different wear degrees and softening points by dividing the road surface into regions and detecting softening points, thereby improving the pertinence and efficiency of the repair work;

[0066] (2) The present invention can implement preventive repair measures by identifying potential areas that need repair, deal with potential problems in a timely manner, avoid the problems from expanding, and extend the service life of the highway. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The present invention will be further described below in conjunction with the accompanying drawings.

[0068] Figure 1 is a flow chart of the method of the present invention;

[0069] Figure 2 is a flow chart of a method for determining whether a target area needs to be repaired in the present invention;

[0070] Figure 3 is a flow chart of a method for determining whether a highway needs overall repair in the present invention;

[0071] Figure 4 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0072] 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.

[0073] Embodiment 1:

[0074] See also Figure 1 - Figure 3 As shown, a method for detecting the softening point of a highway asphalt material according to an embodiment of the present invention comprises the following steps:

[0075] Step 1: Analyze the road surface to obtain the softening point of the road surface. The specific method is:

[0076] A1: According to the wear and tear of the road surface, the road surface is divided into regions, so as to more accurately understand the wear and tear of each part of the road, provide more detailed data support for subsequent inspection and repair work, help to deal with areas with different degrees of wear in a targeted manner, and improve the efficiency and accuracy of the repair work;

[0077] A laser transmitter is set up on the surface of the road, and a laser beam with a fixed wavelength and frequency is emitted to the road surface through the laser transmitter. After the laser beam hits the road surface, part of the laser will be reflected by the road surface. The road surface has different wear conditions, and the characteristics of the reflected laser are different. When the laser beam encounters the worn road surface, scattering, diffraction and diffuse reflection will occur, causing the intensity and distribution of the reflected laser to change. The phase and amplitude of the reflected laser will also change due to the different wear conditions of the road surface.

[0078] Reflected laser light is received by a laser receiver, and the degree of wear of the road surface is evaluated according to the characteristics of the reflected laser light to obtain a wear degree characterization value, and regions are divided according to the wear degree characterization value of the road surface, and regions with equal wear degree characterization values ​​of the road surface are divided into one region, thereby dividing the road surface into multiple regions;

[0079] A2: Softening point detection is performed on each area of ​​the road surface to obtain the softening point of each area. Softening point is an important indicator for evaluating the performance of asphalt materials. By detecting the softening point of each area, the aging degree and high temperature resistance of asphalt materials can be understood, and the durability and safety of the road can be judged. Testing each area separately can ensure the accuracy and reliability of the data and provide strong support for subsequent analysis and repair work. The specific method is as follows:

[0080] A21: Select asphalt samples in the target area;

[0081] A22: Heating the asphalt sample;

[0082] The asphalt sample is heated by setting an appropriate heating rate through a temperature controller to gradually soften it;

[0083] A23: Observe asphalt deformation;

[0084] During the heating process, a high-definition camera is used to observe the deformation of the asphalt sample in real time and record the temperature point at which the asphalt begins to deform significantly.

[0085] A24: Calculate the softening point of asphalt samples;

[0086] The softening point of asphalt is calculated based on the recorded deformation temperature points of asphalt and the heating rate data of the temperature controller;

[0087] A25: Calculate the softening point of the area;

[0088] Repeatedly select asphalt samples at different locations in the target area, and calculate the softening points of the asphalt samples respectively, and calculate the average softening points of all asphalt samples in the target area, and mark the obtained average softening point of the asphalt samples as the softening point of the target area;

[0089] Step 2: Analyze the softening points in the target area to determine whether the target area needs to be repaired. The specific method is:

[0090] B1: Establish a road surface softening point analysis diagram with XYZ as the three-dimensional coordinate system, where the two-dimensional plane established by the XY axis is the road surface, and the road surface is divided according to regions; the Z axis is the regional softening point, and the regional softening points of all regions of the road surface are connected by smooth surfaces, and the smooth surfaces used for connection are marked as road surface softening point analysis surfaces. By establishing an analysis diagram of the three-dimensional coordinate system, the distribution of softening points in various regions of the road surface can be intuitively displayed, which helps to discover potential problem areas, making the analysis more intuitive and convenient, and improving the efficiency and accuracy of the analysis;

[0091] B2: Draw a threshold plane in the urban area reconstruction analysis diagram, whose Z-axis value is the threshold of the road surface softening point and is parallel to the XY plane;

[0092] B3: Calculate the volume enclosed by the road surface softening point analysis surface and the threshold plane in the target area, mark the obtained volume as a volume parameter, and mark the ratio of the volume parameter to the volume parameter threshold as a regional softening point analysis parameter, so as to quantitatively evaluate the softening point situation in the target area, provide data support for subsequent comparative analysis, and help to objectively and accurately determine whether the target area needs to be repaired, avoiding subjective assumptions and misjudgments;

[0093] B4: Compare and analyze the regional softening point analysis parameters to determine whether the target area needs to be repaired;

[0094] Preset the regional softening point analysis parameter threshold, compare and analyze the regional softening point analysis parameter with the regional softening point analysis parameter threshold. By comparing and analyzing the regional softening point analysis parameter with the preset threshold, it is possible to scientifically determine whether the target area needs to be repaired, avoiding the interference of human factors and improving the scientificity and accuracy of decision-making;

[0095] If the regional softening point analysis parameter is less than the regional softening point analysis parameter threshold, it is determined that the target area does not need to be repaired;

[0096] If the regional softening point analysis parameter ≥ the regional softening point analysis parameter threshold, it is determined that the target area needs to be repaired;

[0097] Step 3: Further analyze the regional softening point analysis parameters to find potential areas on the road surface that need to be repaired, thereby discovering potential problem areas and providing early warning for subsequent repair work, which helps to timely discover and solve potential problems, avoid the expansion of problems, and improve the safety and durability of the road. The specific methods are:

[0098] C1: Obtain the softening point analysis parameters of the area adjacent to the target area, perform difference calculations with the softening point analysis parameters of the target area, take the absolute values, obtain the absolute differences, and sum up all the absolute differences to obtain the softening point potential analysis parameters;

[0099] C2: Comparative analysis of potential softening point analysis parameters to obtain potential areas on the road surface that need repair;

[0100] Preset a softening point potential analysis parameter threshold, and compare and analyze the softening point potential analysis parameter with the softening point potential analysis parameter threshold;

[0101] If the softening point potential analysis parameter is less than the softening point potential analysis parameter threshold, the target area and the area adjacent to the target area are determined as potential areas that need to be repaired;

[0102] If the softening point potential analysis parameter is greater than or equal to the softening point potential analysis parameter threshold, it is determined that the target area and the area adjacent to the target area are not potential areas that need to be repaired;

[0103] Step 4: Determine whether the highway needs to be repaired as a whole based on the areas on the highway surface that need to be repaired and the areas on the highway surface that may need to be repaired. The specific method is as follows:

[0104] D1: Obtain the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired;

[0105] D2: By formula: , calculate and obtain highway analysis parameters, where F represents the highway analysis parameters, N represents the number of highway surface areas that need to be repaired, and M represents the number of highway surface areas that potentially need to be repaired. are preset proportional factors, all of which are greater than 0, and comprehensively consider the conditions of areas that need to be repaired and areas that may need to be repaired, providing support for overall repair decisions;

[0106] D3: Compare and analyze the highway analysis parameters to determine whether the highway needs overall repair;

[0107] Preset a highway analysis parameter threshold, and compare and analyze the highway analysis parameter with the highway analysis parameter threshold;

[0108] If the highway analysis parameter is less than the highway analysis parameter threshold, it is determined that the highway does not need overall repair;

[0109] If the highway analysis parameter ≥ the highway analysis parameter threshold, it is determined that the highway needs overall repair.

[0110] Embodiment 2:

[0111] Based on Example 1, please refer to Figure 4As shown, a road asphalt material softening point detection device according to an embodiment of the present invention comprises:

[0112] The softening point acquisition module is used to analyze the road surface, so as to obtain the softening point of the road surface;

[0113] The softening point analysis module is used to analyze the softening point of the target area to determine whether the target area needs to be repaired;

[0114] The soft point secondary analysis module is used to further analyze the regional soft point analysis parameters to find the potential areas on the road surface that need to be repaired;

[0115] The highway surface analysis module is used to determine whether the highway needs to be repaired as a whole based on the areas on the highway surface that need to be repaired and the areas on the highway surface that potentially need to be repaired.

[0116] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0117] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of numbers of road surface areas that need to be repaired and numbers of road surface areas that potentially need to be repaired, and sets corresponding road analysis parameters for each group of numbers of road surface areas that need to be repaired and numbers of road surface areas that potentially need to be repaired; Substitute the set road analysis parameters and the collected numbers of road surface areas that need to be repaired and numbers of road surface areas that potentially need to be repaired into a formula, any three formulas form a three-variable linear equation group, screen the calculated factors and take the average, and obtain The values ​​of are 2.54 and 1.73 respectively;

[0118] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired, and the technical personnel in this field preliminarily set the corresponding highway analysis parameters for each group of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the highway analysis parameter is proportional to the number of road surface areas that need to be repaired.

[0119] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for detecting the softening point of highway asphalt material, characterized in that: The following steps are involved: Step 1: Analyze the road surface to obtain the softening point of the road surface; Step 2: Analyze the softening points in the target area to determine whether the target area needs to be repaired; Step 3: Further analyze the regional softening point analysis parameters to find areas on the road surface that potentially need repair; Step 4: Determine whether the highway needs to be repaired as a whole based on the areas on the highway surface that need to be repaired and the areas on the highway surface that may need to be repaired. The specific method is as follows: D1: Obtain the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired; D2: By formula: , calculate and obtain highway analysis parameters, where F represents the highway analysis parameters, N represents the number of highway surface areas that need to be repaired, and M represents the number of highway surface areas that potentially need to be repaired. are preset scaling factors, and are all greater than 0; D3: Compare and analyze the highway analysis parameters to determine whether the highway needs overall repair; Preset a highway analysis parameter threshold, and compare and analyze the highway analysis parameter with the highway analysis parameter threshold; If the highway analysis parameter is less than the highway analysis parameter threshold, it is determined that the highway does not need overall repair; If the highway analysis parameter ≥ the highway analysis parameter threshold, it is determined that the highway needs overall repair; The road surface is analyzed to obtain the softening point of the road surface, and the specific method is: A1: Divide the road surface into regions according to the wear and tear of the road surface; A2: Softening point detection is performed on each area divided on the road surface to obtain the softening point of each area; According to the wear condition of the road surface, the road surface is divided into regions, and the specific method is as follows: A laser transmitter is set up on the surface of the road, and a laser beam with a fixed wavelength and frequency is emitted to the surface of the road by the laser transmitter; Reflected laser light is received by a laser receiver, and the degree of wear of the road surface is evaluated according to the characteristics of the reflected laser light, and a wear degree characterization value is obtained. Area division is performed according to the wear degree characterization value of the road surface, and areas with equal wear degree characterization values ​​of the road surface are divided into one area, thereby dividing the road surface into multiple areas; The specific method for obtaining the softening point of each region is: A21: Select asphalt samples in the target area; A22: Heating the asphalt sample; The asphalt sample is heated by setting an appropriate heating rate through a temperature controller to gradually soften it; A23: Observe asphalt deformation; During the heating process, a high-definition camera is used to observe the deformation of the asphalt sample in real time and record the temperature point at which the asphalt begins to deform significantly. A24: Calculate the softening point of asphalt samples; The softening point of asphalt is calculated based on the recorded deformation temperature points of asphalt and the heating rate data of the temperature controller; A25: Calculate the softening point of the area; Repeatedly select asphalt samples at different locations in the target area, and calculate the softening points of the asphalt samples respectively, and calculate the average softening points of all asphalt samples in the target area, and mark the obtained average softening point of the asphalt samples as the softening point of the target area; The specific method for finding the area on the road surface that potentially needs to be repaired is as follows: C1: Obtain the softening point analysis parameters of the area adjacent to the target area, perform difference calculations with the softening point analysis parameters of the target area, take the absolute values, obtain the absolute differences, and sum up all the absolute differences to obtain the softening point potential analysis parameters; C2: Compare and analyze the potential analysis parameters of the softening point to obtain the areas on the road surface that potentially need repair.

2. A method for detecting the softening point of highway asphalt material according to claim 1, characterized in that: The specific method for determining whether the target area needs to be repaired is as follows: B1: Establish a road surface softening point analysis diagram and obtain regional softening point analysis parameters; B2: Compare and analyze the regional softening point analysis parameters to determine whether the target area needs to be repaired.

3. A method for detecting the softening point of highway asphalt material according to claim 2, characterized in that: The specific method of establishing the road surface softening point analysis diagram and obtaining the regional softening point analysis parameters is as follows: Establish a road surface softening point analysis diagram with XYZ as the three-dimensional coordinate system, where the two-dimensional plane established by the XY axis is the road surface, and the road surface is divided according to regions; the Z axis is the regional softening point, and the regional softening points of all regions of the road surface are connected by smooth surfaces, and the smooth surfaces used for connection are marked as road surface softening point analysis surfaces; Draw a threshold plane in the urban area reconstruction analysis diagram, whose Z-axis value is the road surface softening point threshold and is parallel to the XY plane; The volume enclosed by the road surface softening point analysis surface and the threshold plane in the target area is calculated, the obtained volume is marked as a volume parameter, and the ratio of the volume parameter to the volume parameter threshold is marked as a regional softening point analysis parameter.

4. A method for detecting the softening point of highway asphalt material according to claim 3, characterized in that: The method further comprises: Preset the regional softening point analysis parameter threshold, and compare and analyze the regional softening point analysis parameter with the regional softening point analysis parameter threshold; If the regional softening point analysis parameter is less than the regional softening point analysis parameter threshold, it is determined that the target area does not need to be repaired; If the regional softening point analysis parameter is greater than or equal to the regional softening point analysis parameter threshold, it is determined that the target area needs to be repaired.

5. A method for detecting the softening point of highway asphalt material according to claim 4, characterized in that: The method further comprises: Preset a softening point potential analysis parameter threshold, and compare and analyze the softening point potential analysis parameter with the softening point potential analysis parameter threshold; If the softening point potential analysis parameter is less than the softening point potential analysis parameter threshold, the target area and the area adjacent to the target area are determined as potential areas that need to be repaired; If the softening point potential analysis parameter is greater than or equal to the softening point potential analysis parameter threshold, it is determined that the target area and the area adjacent to the target area are not areas that potentially need to be repaired.

6. A device for detecting the softening point of highway asphalt material, which implements the method according to claim 5, characterized in that: include: A softening point acquisition module, wherein the softening point acquisition module is used to analyze the road surface to obtain the softening point of the road surface; A softening point analysis module, which is used to analyze the softening point of the target area to determine whether the target area needs to be repaired; A softening point secondary analysis module, which is used to further analyze regional softening point analysis parameters, thereby finding areas on the road surface that potentially need to be repaired; The highway surface analysis module is used to determine whether the highway needs to be repaired as a whole according to the highway surface area that needs to be repaired and the highway surface area that potentially needs to be repaired. The specific method is as follows: D1: Obtain the number of road surface areas that need to be repaired and the number of road surface areas that potentially need to be repaired; D2: By formula: , calculate and obtain highway analysis parameters, where F represents the highway analysis parameters, N represents the number of highway surface areas that need to be repaired, and M represents the number of highway surface areas that potentially need to be repaired. are preset scaling factors, and are all greater than 0; D3: Compare and analyze the highway analysis parameters to determine whether the highway needs overall repair; Preset a highway analysis parameter threshold, and compare and analyze the highway analysis parameter with the highway analysis parameter threshold; If the highway analysis parameter is less than the highway analysis parameter threshold, it is determined that the highway does not need overall repair; If the highway analysis parameter ≥ the highway analysis parameter threshold, it is determined that the highway needs overall repair.

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