Automatic real-time monitoring method and system for highway construction quality

Abstract

The invention discloses a highway construction quality automatic real-time monitoring method and system, and relates to the technical field of construction quality monitoring. Comprising the steps that a laying path is obtained, a laying area item is obtained, and the laying area item is used for representing an actual asphalt laying area; on the basis of the laying area item, obtaining actual wear degree data of the laying path, and on the basis of the actual wear degree data, performing regional division on the laying area item to obtain at least one laying division item; according to the method, the laying path is obtained, the laying path is subjected to region division, the asphalt height data, the temperature data and the humidity data of different regions are obtained, the asphalt height data are compared, when the comparison result is different, the temperature and the humidity of the regions are compared and judged, and the first feedback item and the second feedback item are obtained through feedback; and different processing is performed according to the first feedback item and the second feedback item, so that the intelligent monitoring and feedback effect on the construction quality is realized.

Description

Technical Field

[0001] The invention relates to the technical field of construction quality monitoring, and in particular to an automatic real-time monitoring method and system for highway construction quality. Background Art

[0002] Highway construction refers to a series of engineering activities carried out in the process of building new highways or renovating and expanding existing highways. It includes multiple stages from preliminary planning and design to specific construction and later maintenance. Real-time quality monitoring during highway construction is an important part of ensuring the safety, durability and efficient use of resources. Since highways are important infrastructure for transportation, any quality problems may lead to traffic accidents and even loss of life. Therefore, real-time monitoring helps to detect potential problems early and take timely measures to ensure driving safety.

[0003] The construction environment monitoring system and monitoring method based on big data, with patent publication number CN113804598A, give different levels of users different permissions and the function of classifying and storing different data. It not only realizes basic data query and statistical functions, but also achieves the functions of classifying and counting data, comparing and analyzing data with other data information, and sharing data, so as to achieve the technical characteristics of full and effective use of data and serve as a reference for the construction of future construction environments. By adopting a power supply combination of batteries and solar panels, the equipment can be operated around the clock. By reasonably arranging monitoring points for data acquisition devices, a comprehensive perception of the environmental status of the construction site can be achieved. By adopting a data acquisition module that combines high-sensitivity PM10 and PM2.5 dust collectors with video monitoring, the limitations of traditional chemical analysis methods and single instrument monitoring are overcome, and the technical characteristics of diversified and intelligent monitoring data are achieved.

[0004] When the above and similar technical solutions are used to monitor the construction quality, when laying asphalt, in order to ensure the laying quality, it is necessary to monitor the settling effect of asphalt in real time. When there are differences in the settlement of asphalt at different locations, timely feedback and processing are required. However, under specific conditions, when there are differences in the settlement rate of asphalt, it is a normal difference. For example, under different temperatures and humidity conditions, although the settlement rate of asphalt will be different, the final result will not be affected. However, when the degree of ground wear is different, the settlement rate of asphalt will also be different, but it will affect the final result. Therefore, it is necessary to output the monitoring results according to the actual situation, otherwise it will lead to misleading effects on the monitoring of laying quality. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for automatically monitoring highway construction quality in real time, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for automatic real-time monitoring of highway construction quality, comprising:

[0007] Obtain the paving path and obtain the paving area item, where the paving area item is used to represent the actual area where asphalt is paved;

[0008] Based on the paving area item, actual wear data of the paving path is obtained, and based on the actual wear data, the paving area item is divided into regions to obtain at least one paving division item, where the paving division item is used to represent regions corresponding to different wear levels of the paving path;

[0009] Based on the paving division item, the height data of the asphalt is obtained to obtain the division data item;

[0010] Acquire temperature data and humidity data of the laying division items to obtain division temperature items and division humidity items, wherein the division temperature items and division humidity items correspond to the division data items respectively;

[0011] Compare the partition data items, and when there are differences in the partition data items, set the partition data items with differences as target partition items, obtain the partition temperature items and partition humidity items corresponding to the target partition items, and obtain the first target temperature item and the first target humidity item;

[0012] Determine whether there is a paving division item that is the same as the target division item area, and if so, obtain the target paving item, obtain the division temperature item and the division humidity item corresponding to the target paving item, obtain the second target temperature item and the second target humidity item, and determine whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item. When the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, determine that the target division item is the first feedback item. When the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, determine that the target division item is the second feedback item.

[0013] When there is no paving division item in the same area as the target division item, the target division item is determined to be the second feedback item, and the first feedback item and the second feedback item are processed separately to perform intelligent monitoring and feedback on the construction quality.

[0014] Furthermore, the wear data includes wear depth data, and the method for acquiring actual wear data of the paved path includes:

[0015] Based on the paving area item, the overall data of the paving path is acquired through the first target device to obtain a first information item;

[0016] Based on the first information item, the maximum depth of the wear depth data of the paved path is acquired to obtain a maximum depth item.

[0017] Furthermore, the area division method of the paving area item includes:

[0018] Based on the maximum depth item, a first division interval value is set, the first division value is combined with the maximum depth item to obtain a division range value, based on the division range value, at least two division range items are obtained, and based on the division range items, the paving area item is divided into regions to obtain the paving area item.

[0019] Furthermore, the wear data includes wear color data, and the method for acquiring the actual wear data of the paved path includes:

[0020] Performing pre-cleaning processing based on the paving area item, acquiring overall data of the paving path through a second target device, and obtaining a second information item;

[0021] Based on the second information item, the color distribution data of the paved path is acquired to obtain a color distribution item.

[0022] Furthermore, the area division method of the paving area item includes:

[0023] Based on the color distribution term, the image is converted from the RGB color space to the target color space;

[0024] Use the target algorithm to classify the color distribution items and extract the main color features;

[0025] Define the degree of wear corresponding to the color category, extract the boundary of the color area, mark each color area, generate the area distribution map, and then obtain the paving division items.

[0026] Furthermore, the method for obtaining the partitioned data items includes:

[0027] Based on the laying division item, the center point position data of the laying division item is obtained to obtain the center position item;

[0028] The central position item is used as a feature point to obtain a feature point set, which includes at least a central point position of a paving division item. A target detection device is set based on the feature point set to obtain asphalt height data, thereby obtaining a division data item.

[0029] Furthermore, the method for obtaining the target laying item includes:

[0030] Based on the target division item, the actual wear depth data of the target division item is obtained to obtain the target depth item. Based on the target depth item and the paving division item, the area in the paving division item with the same wear depth as the target depth item is obtained to obtain the target paving item.

[0031] Furthermore, the method for obtaining the target laying item also includes:

[0032] Based on the target division item, the actual wear color data of the target division item is obtained to obtain the target color item. Based on the target color item and the paving division item, the area in the paving division item with the same color as the target color item is obtained to obtain the target paving item.

[0033] Furthermore, the method for determining the target division item includes:

[0034] Based on the comparative relationship between the first target temperature item, the first target humidity item and the second target temperature item, the second target humidity item, when the first target temperature item and the first target humidity item are different from the second target temperature item and the second target humidity item, the change attribute of the second target temperature item and the second target humidity item is judged; when the second target temperature item and the second target humidity item change in opposite directions, the target division item is determined to be the second feedback item; when the second target temperature item and the second target humidity item change in the same way, the target division item is determined to be the first feedback item.

[0035] Furthermore, a highway construction quality automatic real-time monitoring system uses the above-mentioned highway construction quality automatic real-time monitoring method, including:

[0036] Acquisition module: acquires the paving path, obtains the paving area item, and acquires the actual wear data of the paving path based on the paving area item;

[0037] Division module: based on the actual wear data, the paving area item is divided into regions to obtain at least one paving division item;

[0038] Matching module: obtaining asphalt height data, obtaining division data items, obtaining temperature data and humidity data of paving division items, obtaining division temperature items and division humidity items, the division temperature items and division humidity items respectively correspond to the division data items, comparing the division data items, when there are differences in the division data items, setting the division data items with differences as target division items, obtaining the division temperature items and division humidity items corresponding to the target division items, and obtaining the first target temperature item and the first target humidity item;

[0039] Comparison module: determine whether there is a paving division item in the same area as the target division item, and if so, obtain the target paving item, obtain the division temperature item and the division humidity item corresponding to the target paving item, obtain the second target temperature item and the second target humidity item, determine whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, and when the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, determine that the target division item is the first feedback item, when the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, determine that the target division item is the second feedback item, and when there is no paving division item in the same area as the target division item, determine that the target division item is the second feedback item;

[0040] Feedback module: The first feedback item and the second feedback item are processed separately to provide intelligent monitoring and feedback on the construction quality.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The method and system for automatic real-time monitoring of highway construction quality obtains a paving path and divides the paving path into regions, obtains asphalt height data, temperature data and humidity data of different regions, compares the asphalt height data, and when a difference occurs in the comparison result, sets the region with the difference as a target division item, and obtains a division temperature item and a division humidity item corresponding to the target division item. At the same time, an area identical to the target division item area is obtained, and the division temperature item and division humidity item corresponding to the area are obtained, and it is determined whether the temperature and humidity of the two regions are the same. Thus, according to the comparison results of the temperature and humidity, a first feedback item and a second feedback item are respectively fed back, and different processing is performed according to the first feedback item and the second feedback item, thereby realizing an intelligent monitoring feedback effect on the construction quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0044] Figure 2 A schematic diagram of a flow chart for obtaining a temperature item and a humidity item according to the present invention;

[0045] Figure 3 It is a schematic diagram of the first scope item and the second scope item of the present invention;

[0046] Figure 4 It is a schematic diagram of the first corresponding item, the second corresponding item and the third corresponding item of the present invention;

[0047] Figure 5 This is a schematic diagram showing that the wear depth of the target paving item and the target dividing item of the present invention is the same;

[0048] Figure 6 This is a schematic diagram showing that the target laying items and the target dividing items of the present invention have the same color. DETAILED DESCRIPTION

[0049] 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.

[0050] After asphalt is laid, its physical properties are affected by many factors in the external environment, especially temperature and humidity. These factors will directly affect its viscosity and fluidity, resulting in different asphalt settling rates. In this case, the difference in settling rates can be regarded as a normal phenomenon, because the final paving results of the asphalt will not usually be significantly affected. For example, in the initial placement stage, if the temperature in a certain area is low, the settling rate of the asphalt will be relatively slow, but as long as the final cooling effect is uniform, the stability and quality of the overall paving can still be guaranteed. However, the situation may be different, especially when the degree of wear on the road surface is inconsistent. If Severe wear of a certain part of the road surface will cause changes in the dynamic response of asphalt during the sedimentation process. This wear not only affects the sedimentation rate, but also further affects the road's bearing capacity and driving safety. Therefore, in this case, the monitoring results are particularly important. Timely feedback and processing will help ensure the overall quality and performance of asphalt paving. The technical solution provided by this application first obtains the paving path, obtains the actual wear data of the paving path, and divides the paving path into regions based on the actual wear data, thereby obtaining at least two paving division items, and continuously obtains asphalt height data based on the paving division items, thereby obtaining the division items. data item, and simultaneously obtain the temperature data and humidity data of the laying division item to obtain the division temperature item and the division humidity item. When the division data item differs, the division data item is set as the target division item, and the division temperature item and the division humidity item corresponding to the target division item are obtained to obtain the first target temperature item and the first target humidity item. The laying division item with the same area as the target division item is obtained to determine whether there is a laying division item with the same area as the target division item. If so, the target laying item is obtained, and the division temperature item and the division humidity item corresponding to the target laying item are obtained to obtain the second target temperature item and the second target humidity item. The first target temperature item and the first target humidity item are determined. Whether the first target humidity item is the same as the second target temperature item and the second target humidity item, when the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, then the target division item is determined to be the first feedback item, when the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, then the target division item is determined to be the second feedback item, when there is no laying division item with the same area as the target division item, then the target division item is determined to be the second feedback item, and the first feedback item and the second feedback item are processed separately, thereby realizing the intelligent monitoring feedback effect on the construction quality. Specifically in this application, Figure 1-Figure 2 As shown, it includes steps S100 to S500.

[0051] Step S100: Acquire the paving path and obtain the paving area item, which is used to represent the actual area where asphalt is paved.

[0052] It should be noted that when paving asphalt, it is necessary to first plan a specific paving path, the path from the starting position to the end position, so the paving area item obtained represents the actual area where the asphalt is paved.

[0053] Specifically, the method for obtaining the paving area item includes obtaining established data, that is, before paving asphalt, according to the set established data, the established data includes the paving starting point information and end point information, as well as the paving width, so as to obtain the paving area item according to the established data.

[0054] Step S200: based on the paving area item, actual wear data of the paving path is obtained, and based on the actual wear data, the paving area item is divided into regions to obtain at least one paving division item.

[0055] It should be noted that the paving division item is used to represent the areas corresponding to different wear levels of the paved path. The wear data includes wear depth data. The method for obtaining the actual wear data of the paved path includes: based on the paving area item, obtaining the overall data of the paved path through the first target device to obtain the first information item, and the first target device is a high-definition camera and a laser sensor component; based on the first information item, obtaining the maximum depth of the wear depth data of the paved path to obtain the maximum depth item.

[0056] It should be noted that the regional division method of the paved area item includes: based on the maximum depth item, setting a first division interval value, the first division value is 50%, the first division value is combined with the maximum depth item to obtain a division range value, based on the division range value, two division range items are obtained, and the paved area item is divided into regions based on the division range items to obtain the paved area items.

[0057] Embodiment 1

[0058] like Figure 3 As shown, a certain highway A is about to be paved with asphalt, and the length information of the paved area item is 100m and the width is 5m. At this time, the road surface information of the highway is obtained through a high-definition camera and a laser sensor component, and the detailed road surface data of the highway is obtained to obtain a first information item. The first information item includes the wear depth of the road surface. The maximum wear depth is 5mm. At this time, the maximum depth item is 5mm. According to the set first division value, the first division value is 50%. At this time, the division range value is 2.5mm, and two division range items are obtained, which are 0-2.5mm and 2.5mm-5mm, respectively. The first range item and the second range item are obtained, and then the paved area item of Highway A is divided into regions based on the two division range items. The division result is that the paved area item of Highway A is divided into different areas with wear depths of 0-2.5mm and 2.5mm-5mm.

[0059] It should be noted that the wear data includes wear color data, and the method for obtaining the actual wear data of the paved path includes: performing pre-cleaning processing based on the paved area item, the pre-cleaning processing is to clean the road surface, and obtaining the overall data of the paved path through a second target device to obtain a second information item, and the second target device is a drone equipped with a high-resolution camera; based on the second information item, obtaining the color distribution data of the paved path to obtain a color distribution item.

[0060] It should be noted that the regional division method of the paving area item includes: based on the color distribution item, converting the image from the RGB color space to the target color space, the target color space is the HSV or Lab color space, which is more suitable for color analysis; using the target algorithm to classify the color distribution item, the target algorithm is a clustering algorithm, extracting the main color features; defining the wear degree corresponding to the color category, extracting the boundary of the color area, marking each color area, generating a regional distribution map, and then obtaining the paving division item

[0061] Embodiment 2

[0062] like Figure 4 As shown, a certain highway B is about to be paved with asphalt. The length information of the paved area item is 100m and the width is 5m. At this time, the highway is first cleaned and the road surface information of the highway is obtained by a drone equipped with a high-resolution camera to obtain detailed road surface data of the highway and obtain the second information item. The second information item includes the color distribution data of the road surface. At this time, the image is converted from the RGB color space to the HSV color space to better analyze the color features. The K-means clustering algorithm is used to classify the road surface color and extract the main color features. The clustering results are dark gray, light gray and grayish white. At this time, the wear degree corresponding to the color category is defined, where dark gray corresponds to no wear or slight wear, light gray corresponds to moderate wear, and grayish white corresponds to severe wear. The first corresponding item, the second corresponding item and the third corresponding item are obtained, and the Canny edge detection algorithm is used to extract the boundary of the color area to obtain the paving division item.

[0063] Step S300: Based on the paving division item, the height data of the asphalt is obtained to obtain the division data item.

[0064] It should be noted that the method for obtaining the partitioning data items includes: based on the paving partitioning items, obtaining the center point position data of the paving partitioning items to obtain the center position item; taking the center position item as the feature point to obtain a feature point set, the feature point set includes at least one center point position of the paving partitioning item, setting a target detection device based on the feature point set, the target detection device is a sensor module, obtaining the height data of the asphalt, and then obtaining the partitioning data items.

[0065] Embodiment 3

[0066] There is a certain highway C that is about to be paved with asphalt. The length information of the paving area item is 100m and the width is 5m. At this time, the highway C is divided into three paving items. The three paving items divide the highway into 10 areas, and the proportions of the three paving items on the highway are 4:3:3 respectively. At this time, the center point position data of these 10 areas are obtained respectively, and 10 center position items are obtained. Based on the center position items, sensor modules are arranged respectively to obtain the height data of asphalt in real time.

[0067] Step S400: Acquire temperature data and humidity data of laying division items to obtain division temperature items and division humidity items.

[0068] It should be noted that the divided temperature item and the divided humidity item correspond to the divided data item respectively. When the height data of the asphalt is obtained in real time, the temperature data and humidity data are also obtained in real time.

[0069] Step S500: Compare the partition data items. When there are differences in the partition data items, set the partition data items with differences as target partition items, obtain the partition temperature items and partition humidity items corresponding to the target partition items, and obtain the first target temperature item and the first target humidity item.

[0070] Specifically, when differences occur in the divided data items, it is determined whether there is a paving division item with the same area as the target division item. If so, the target paving item is obtained. The method for obtaining the target paving item includes: based on the target division item, obtaining the actual wear depth data of the target division item to obtain the target depth item; based on the target depth item and the paving division item, obtaining the area in the paving division item with the same wear depth as the target depth item to obtain the target paving item.

[0071] like Figure 5 As shown, in the specific implementation process, the paving area item of Highway A is divided into different areas with wear depths of 0-2.5mm and 2.5mm-5mm, and there are three areas of 0-2.5mm, marked as 1, 2 and 3 respectively, and there are four areas of 2.5mm-5mm, marked as 11, 22, 33 and 44 respectively. At this time, the area division data item marked as 1 is different, that is, the area marked as 1 is the target division item, and the actual wear depth data of the target division item is 0-2.5mm. At this time, the area with the same wear depth as the target depth item in the paving division item is the target paving item, that is, the target paving items are the areas marked as 2 and 3.

[0072] It should be noted that the divided temperature item and the divided humidity item corresponding to the target paving item are obtained to obtain the second target temperature item and the second target humidity item, and it is determined whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item. When the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, the target division item is determined to be the first feedback item. When the first target temperature item and the first target humidity item are different from the second target temperature item and the second target humidity item, the target division item is determined to be the second feedback item.

[0073] It should be noted that the method for obtaining the target paving item also includes: based on the target division item, obtaining the actual wear color data of the target division item to obtain the target color item; based on the target color item and the paving division item, obtaining the area in the paving division item with the same color as the target color item to obtain the target paving item.

[0074] like Figure 6 As shown, in the specific implementation process, the paved area item of Highway B is divided into three areas: dark gray, light gray and grayish white. The dark gray corresponds to no wear or slight wear, the light gray corresponds to moderate wear, and the grayish white corresponds to severe wear. There are two dark gray areas, marked as a, and b respectively, there are three light gray areas, marked as aa, bb and cc respectively, and there are three grayish white areas, marked as aaa, bbb and ccc respectively. At this time, the area division data item marked as aa is different, that is, the area marked as aa is the target division item, and the actual color of the target division item is light gray, that is, the target color item is light gray. At this time, the area with the same color as the target color item in the paving division item is the target paving item, that is, the target paving item is the area marked as bb and cc.

[0075] It should be noted that the method for determining the target division item includes: based on the comparative relationship between the first target temperature item, the first target humidity item and the second target temperature item, the second target humidity item, when the first target temperature item and the first target humidity item are different from the second target temperature item and the second target humidity item, judging the change attribute of the second target temperature item and the second target humidity item; when the second target temperature item and the second target humidity item change in opposite directions, judging the target division item to be the second feedback item; when the second target temperature item and the second target humidity item change in the same direction, judging the target division item to be the first feedback item.

[0076] A highway construction quality automatic real-time monitoring system uses the above-mentioned highway construction quality automatic real-time monitoring method, including: an acquisition module: acquires a paving path, obtains a paving area item, and acquires actual wear data of the paving path based on the paving area item; a division module: divides the paving area item into regions based on the actual wear data to obtain at least one paving division item; a matching module: acquires asphalt height data to obtain a division data item, acquires temperature data and humidity data of the paving division item, obtains a division temperature item and a division humidity item, the division temperature item and the division humidity item correspond to the division data item respectively, compares the division data items, and when a difference occurs in the division data items, sets the division data item with the difference as a target division item, acquires the division temperature item and the division humidity item corresponding to the target division item, and obtains a first target temperature item and a first target humidity item; a comparison module :Judge whether there is a paving division item with the same area as the target division item. If so, obtain the target paving item, obtain the division temperature item and the division humidity item corresponding to the target paving item, obtain the second target temperature item and the second target humidity item, judge whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item. When the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, determine that the target division item is the first feedback item. When the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, determine that the target division item is the second feedback item. When there is no paving division item with the same area as the target division item, determine that the target division item is the second feedback item; Feedback module: The first feedback item and the second feedback item are processed separately to perform intelligent monitoring and feedback on the construction quality.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for automatic real-time monitoring of highway construction quality, characterized in that: include: Obtain the paving path and obtain the paving area item, where the paving area item is used to represent the actual area where asphalt is paved; Based on the paving area item, actual wear data of the paving path is obtained, and based on the actual wear data, the paving area item is divided into regions to obtain at least one paving division item, where the paving division item is used to represent regions corresponding to different wear levels of the paving path; Based on the paving division item, the height data of the asphalt is obtained to obtain the division data item; Acquire temperature data and humidity data of the laying division items to obtain division temperature items and division humidity items, wherein the division temperature items and division humidity items correspond to the division data items respectively; Compare the partition data items, and when there are differences in the partition data items, set the partition data items with differences as target partition items, obtain the partition temperature items and partition humidity items corresponding to the target partition items, and obtain the first target temperature item and the first target humidity item; Determine whether there is a paving division item that is the same as the target division item area, and if so, obtain the target paving item, obtain the division temperature item and the division humidity item corresponding to the target paving item, obtain the second target temperature item and the second target humidity item, and determine whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item. When the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, determine that the target division item is the first feedback item. When the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, determine that the target division item is the second feedback item. When there is no paving division item in the same area as the target division item, the target division item is determined to be the second feedback item, and the first feedback item and the second feedback item are processed separately to perform intelligent monitoring and feedback on the construction quality.

2. The method for automatic real-time monitoring of highway construction quality according to claim 1, characterized in that: The wear data includes wear depth data, and the method for acquiring the actual wear data of the paved path includes: Based on the paving area item, the overall data of the paving path is acquired through the first target device to obtain a first information item; Based on the first information item, the maximum depth of the wear depth data of the paved path is acquired to obtain a maximum depth item.

3. The method for automatic real-time monitoring of highway construction quality according to claim 2, characterized in that: The area division method of the paving area item includes: Based on the maximum depth item, a first division interval value is set, the first division value is combined with the maximum depth item to obtain a division range value, based on the division range value, at least two division range items are obtained, and based on the division range items, the paving area item is divided into regions to obtain the paving area item.

4. The method for automatic real-time monitoring of highway construction quality according to claim 1, characterized in that: The wear data includes wear color data, and the method for acquiring the actual wear data of the paved path includes: Performing pre-cleaning processing based on the paving area item, acquiring overall data of the paving path through a second target device, and obtaining a second information item; Based on the second information item, the color distribution data of the paved path is acquired to obtain a color distribution item.

5. The method for automatic real-time monitoring of highway construction quality according to claim 4, characterized in that: The area division method of the paving area item includes: Based on the color distribution term, the image is converted from the RGB color space to the target color space; Use the target algorithm to classify the color distribution items and extract the main color features; Define the degree of wear corresponding to the color category, extract the boundary of the color area, mark each color area, generate the area distribution map, and then obtain the paving division items.

6. The method for automatic real-time monitoring of highway construction quality according to claim 1, characterized in that: The method for obtaining the partitioned data items includes: Based on the laying division item, the center point position data of the laying division item is obtained to obtain the center position item; The central position item is used as a feature point to obtain a feature point set, which includes at least a central point position of a paving division item. A target detection device is set based on the feature point set to obtain asphalt height data, thereby obtaining a division data item.

7. The method for automatic real-time monitoring of highway construction quality according to claim 3, characterized in that: The method for obtaining the target paving item includes: Based on the target division item, the actual wear depth data of the target division item is obtained to obtain the target depth item. Based on the target depth item and the paving division item, the area in the paving division item with the same wear depth as the target depth item is obtained to obtain the target paving item.

8. The method for automatic real-time monitoring of highway construction quality according to claim 5, characterized in that: The method for obtaining the target laying item also includes: Based on the target division item, the actual wear color data of the target division item is obtained to obtain the target color item. Based on the target color item and the paving division item, the area in the paving division item with the same color as the target color item is obtained to obtain the target paving item.

9. The method for automatic real-time monitoring of highway construction quality according to claim 1, characterized in that: The method for determining the target division item includes: Based on the comparative relationship between the first target temperature item, the first target humidity item and the second target temperature item, the second target humidity item, when the first target temperature item and the first target humidity item are different from the second target temperature item and the second target humidity item, the change attribute of the second target temperature item and the second target humidity item is judged; when the second target temperature item and the second target humidity item change in opposite directions, the target division item is determined to be the second feedback item; when the second target temperature item and the second target humidity item change in the same way, the target division item is determined to be the first feedback item.

10. An automatic real-time monitoring system for highway construction quality, characterized in that: A method for automatically monitoring highway construction quality in real time according to any one of claims 1 to 9 is used, comprising: Acquisition module: acquires the paving path, obtains the paving area item, and acquires the actual wear data of the paving path based on the paving area item; Division module: based on the actual wear data, the paving area item is divided into regions to obtain at least one paving division item; Matching module: obtaining asphalt height data, obtaining division data items, obtaining temperature data and humidity data of paving division items, obtaining division temperature items and division humidity items, the division temperature items and division humidity items respectively correspond to the division data items, comparing the division data items, when there are differences in the division data items, setting the division data items with differences as target division items, obtaining the division temperature items and division humidity items corresponding to the target division items, and obtaining the first target temperature item and the first target humidity item; Comparison module: determine whether there is a paving division item in the same area as the target division item, and if so, obtain the target paving item, obtain the division temperature item and the division humidity item corresponding to the target paving item, obtain the second target temperature item and the second target humidity item, determine whether the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, and when the first target temperature item and the first target humidity item are the same as the second target temperature item and the second target humidity item, determine that the target division item is the first feedback item, when the first target temperature item and the first target humidity item are not the same as the second target temperature item and the second target humidity item, determine that the target division item is the second feedback item, and when there is no paving division item in the same area as the target division item, determine that the target division item is the second feedback item; Feedback module: The first feedback item and the second feedback item are processed separately to provide intelligent monitoring and feedback on the construction quality.

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