An automatic real-time monitoring method and system for highway construction quality

Abstract

The present invention discloses an automatic real-time monitoring method and system for highway construction quality, which relates to the technical field of construction quality monitoring. It includes: obtaining the laying path to obtain the laying area item, where the laying area item is used to represent the actual area where asphalt is laid; based on the laying area item, obtaining the actual wear degree data of the laying path, and based on the actual wear degree data, dividing the laying area item into regions to obtain at least one laying division item. The present invention realizes the intelligent monitoring and feedback effect of construction quality by obtaining the laying path, dividing the laying path into regions, obtaining asphalt height data, temperature data and humidity data in different regions, comparing the asphalt height data, and when there are differences in the comparison results, comparing and judging the regional temperature and humidity, respectively obtaining the first feedback item and the second feedback item, and performing different treatments according to the first feedback item and the second feedback item respectively.

Description

Technical Field

[0001] The present invention relates to the technical field of construction quality monitoring, and specifically provides 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 during the construction of new highways or the renovation and expansion of existing highways. It includes multiple stages from preliminary planning, design to specific construction and post-construction maintenance. Real-time quality monitoring during highway construction is an important link to ensure the safety, durability and efficiency of resource utilization of the project. Since highways are important infrastructure for transportation, any quality problem may lead to traffic accidents and even cause 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 the 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 statistical analyzing data, comparing and analyzing with other data information, sharing, making full and effective use of data, and playing a reference role in the construction of the future construction environment. By adopting a power supply combination method of a storage battery and a solar panel, the equipment can operate all day long. By reasonably arranging monitoring points for the data acquisition device, a comprehensive perception of the environmental state of the construction site can be realized. 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 monitoring the construction quality with the above-mentioned and similar technical solutions, when laying asphalt, in order to ensure the laying quality, it is necessary to monitor the settlement effect of asphalt in real time. When there are differences in the settlement of asphalt at different positions, it is necessary to give timely feedback and make corresponding treatments. However, under specific conditions, when there are differences in the settlement rate of asphalt, it belongs to normal differences. For example, under different temperature and humidity conditions, although the settlement rate of asphalt will show differences, the final result will not be affected. However, when the wear degree of the ground is different, the settlement rate of asphalt will also show differences at this time, 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 a misleading effect on the monitoring of the laying quality. Summary of the Invention

[0005] The purpose of the present invention is to provide an automatic real-time monitoring method and system for highway construction quality to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions: An automatic real-time monitoring method for highway construction quality, including:

[0007] Obtain the laying path to obtain a laying area item, where the laying area item is used to represent the actual area where asphalt is laid;

[0008] Based on the laying area item, obtain the actual wear degree data of the laying path. Based on the actual wear degree data, divide the laying area item into regions to obtain at least one laying division item, where the laying division item is used to represent the regions corresponding to different wear degree levels of the laying path;

[0009] Based on the laying division item, obtain the height data of the asphalt to obtain a division data item;

[0010] Obtain the temperature data and humidity data of the laying division item to obtain a division temperature item and a division humidity item, and the division temperature item and the division humidity item respectively correspond to the division data item;

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

[0012] Judge whether there is a laying division item with the same area as the target division item. When there is, obtain the target laying item, obtain the division temperature item and the division humidity item corresponding to the target laying item to obtain a second target temperature item and a second target humidity item, and 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, then 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, then determine that the target division item is the second feedback item;

[0013] When there is no laying division item with the same area as the target division item, determine that the target division item is the second feedback item, and process according to the first feedback item and the second feedback item respectively to perform intelligent monitoring and feedback on the construction quality.

[0014] Furthermore, the wear degree data includes wear depth data, and the method for obtaining the actual wear degree data of the laying path includes:

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

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

[0017] Furthermore, the method for dividing the area of the laying area item includes:

[0018] Based on the maximum depth item, set a first division threshold. The first division value and the maximum depth item are combined to obtain a division range value. Based on the division range value, at least two division range items are obtained. Based on the division range items, the laying area item is divided into areas to obtain the laying area item.

[0019] Furthermore, the wear degree data includes wear color data. The method for obtaining the actual wear degree data of the laying path includes:

[0020] Perform pre-cleaning processing based on the laying area item, and obtain the overall data of the laying path through a second target device to obtain a second information item;

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

[0022] Furthermore, the method for dividing the area of the laying area item includes:

[0023] Based on the color distribution item, convert the image from the RGB color space to the target color space;

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

[0025] Define the wear degree corresponding to the color category, extract the boundaries of the color regions, mark each color region, generate a region distribution map, and further obtain a laying division item.

[0026] Furthermore, the method for obtaining the division data item includes:

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

[0028] Using the center position item as a feature point, obtain a feature point set. The feature point set includes at least the center point position of one laying division item. Based on the feature point set, set a target detection device to obtain the height data of the asphalt, and further obtain the division data item.

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

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

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

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

[0033] Furthermore, the determination method of the target division item includes:

[0034] Based on the comparison 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, judge the change attributes of the second target temperature item and the second target humidity item. When the changes of the second target temperature item and the second target humidity item are opposite, determine that the target division item is the second feedback item. When the changes of the second target temperature item and the second target humidity item are the same, determine that the target division item is the first feedback item.

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

[0036] Acquisition module: Acquire the laying path to obtain the laying area item, and based on the laying area item, acquire the actual wear degree data of the laying path;

[0037] Division module: Based on the actual wear degree data, divide the laying area item into regions to obtain at least one laying division item;

[0038] Matching module: Acquire the height data of the asphalt to obtain the division data item, acquire the temperature data and humidity data of the laying division item to obtain the division temperature item and the division humidity item. The division temperature item and the division humidity item correspond to the division data item respectively. Compare the division data item. When there are differences in the division data item, set the division data item with differences as the target division item, and acquire the division temperature item and the division humidity item corresponding to the target division item to obtain the first target temperature item and the first target humidity item;

[0039] Comparison module: Determine whether there is a laid division item that is the same as the target division item area. When there is such an item, obtain the target laying item, acquire the corresponding division temperature item and division humidity item of the target laying 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, then 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, then determine that the target division item is the second feedback item. When there is no laid division item that is the same as the target division item area, determine that the target division item is the second feedback item;

[0040] Feedback module: Process the first feedback item and the second feedback item separately to perform intelligent monitoring and feedback on the construction quality.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] The automatic real-time monitoring method and system for highway construction quality obtain the laying path, divide the laying path into areas, acquire asphalt height data, temperature data, and humidity data for different areas, compare the asphalt height data, and when there are differences in the comparison results, set the area with differences as the target division item, and acquire the corresponding division temperature item and division humidity item of the target division item. At the same time, acquire the area that is the same as the target division item area, and acquire the corresponding division temperature item and division humidity item of this area, and determine whether the regional temperature and humidity of the two are the same. Thus, according to the comparison results of temperature and humidity, the first feedback item and the second feedback item are respectively obtained through feedback, and different processes are carried out according to the first feedback item and the second feedback item respectively, thereby achieving the intelligent monitoring and feedback effect on the construction quality. Description of the Drawings

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

[0044] Figure 2 It is the schematic diagram of the acquisition process of the division temperature item and the division humidity item of the present invention;

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

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

[0047] Figure 5 It is the schematic diagram that the wear depth of the target laying item and the target division item of the present invention is the same;

[0048] Figure 6 Schematic diagram of the same color for the target laying item and the target division item of the present invention. Detailed implementation manner

[0049] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope 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 directly affect its viscosity and fluidity, resulting in different settlement rates of asphalt. In this case, the difference in settlement rate can be regarded as a normal phenomenon because the final laying result of asphalt is usually not significantly affected. For example, in the initial placement stage, if the temperature in a certain area is low, the settlement rate of asphalt will be relatively slow, but as long as the final cooling effect is uniform, the stability and quality of the overall laying can still be guaranteed. However, the situation may be different, especially when the wear degree of the road surface is inconsistent. If a certain part of the road surface is severely worn, it will cause changes in the dynamic response of asphalt during settlement. This wear not only affects the settlement rate but also further affects the bearing capacity and driving safety of the road. Therefore, in this case, the monitoring results are particularly important. Timely feedback and processing will help ensure the overall quality and performance of asphalt laying. The technical solution provided in this application first obtains the laying path, obtains the actual wear degree data of the laying path, and based on the actual wear degree data, divides the laying path into regions to obtain at least two laying division items. Based on the laying division items, continuously obtains the asphalt height data to obtain division data items. At the same time, obtains the temperature data and humidity data of the laying division items to obtain division temperature items and division humidity items. When there are differences in the division data items, sets the division data item as the target division item, and obtains the division temperature item and division humidity item corresponding to the target division item to obtain the first target temperature item and the first target humidity item. Obtains the laying division item with the same area as the target division item, determines whether there is a laying division item with the same area as the target division item. When there is, obtains the target laying item, obtains the division temperature item and division humidity item corresponding to the target laying item to obtain the second target temperature item and the second target humidity item. Determines 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, determines 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, determines that the target division item is the second feedback item. When there is no laying division item with the same area as the target division item, determines that the target division item is the second feedback item. Processes according to the first feedback item and the second feedback item respectively, thus achieving the intelligent monitoring and feedback effect of construction quality. Specifically in this application, as Figure 1 - Figure 2 shown, it includes step S100 - step S500.

[0051] Step S100: Obtain the laying path to obtain the laying area item, and the laying area item is used to represent the actual area where asphalt is laid.

[0052] It should be noted that when laying asphalt, it is necessary to first plan the specific laying path, that is, the path from the starting position to the ending position. Therefore, the obtained laying area item represents the actual area for laying asphalt.

[0053] Specifically, the method for obtaining the laying area item includes obtaining established data. That is, before laying asphalt, according to the set established data, the established data includes the starting point information and ending point information of the laying, as well as the laying width. Thus, the laying area item is obtained based on the established data.

[0054] Step S200: Based on the laying area item, obtain the actual wear degree data of the laying path. Based on the actual wear degree data, perform regional division on the laying area item to obtain at least one laying division item.

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

[0056] It should be noted that the method for regional division of the laying area item includes: based on the maximum depth item, set a first division threshold. The first division value is 50%. The first division value and the maximum depth item are combined to obtain a division range value. Based on the division range value, obtain two division range items. Based on the division range items, perform regional division on the laying area item to obtain the laying area item.

[0057] Embodiment 1

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

[0059] It should be noted that the wear degree data includes wear color data. The method for obtaining the actual wear degree data of the laying path includes: performing pre-cleaning processing based on the laying area item. The pre-cleaning processing is to clean the road surface, obtaining the overall data of the laying path through a second target device to obtain a second information item. 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 laying path to obtain a color distribution item.

[0060] It should be noted that the area division method of the laying area item includes: based on the color distribution item, converting the image from the RGB color space to a target color space. The target color space is the HSV or Lab color space, which is more suitable for color analysis; using a 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 an area distribution map, and thus obtaining a laying division item

[0061] Embodiment 2

[0062] As Figure 4 shown, for an existing highway B that is about to be paved with asphalt, the obtained length information of the laying area item is 100m and the width is 5m. At this time, first clean the highway, and obtain the road surface information of the highway through a drone equipped with a high-resolution camera, obtaining the detailed road surface data of the highway to obtain a second information item. The second information item includes the color distribution data of the road surface. At this time, convert the image from the RGB color space to the HSV color space to better analyze the color features, use the K-means clustering algorithm to classify the road surface colors, extract the main color features, and the clustering results are dark gray, light gray, and off-white. At this time, define the wear degree corresponding to the color category, where dark gray corresponds to no wear or slight wear, light gray corresponds to moderate wear, and off-white corresponds to severe wear, obtaining a first corresponding item, a second corresponding item, and a third corresponding item. Use the Canny edge detection algorithm to extract the boundary of the color area to obtain a laying division item.

[0063] Step S300: Based on the laying division item, obtain the height data of the asphalt to obtain a division data item.

[0064] It should be noted that the method for obtaining the division data item includes: based on the laying division item, obtaining the center point position data of the laying division item to obtain a center position item; using the center position item as a feature point to obtain a feature point set. The feature point set includes at least the center point position of one laying division item. Based on the feature point set, set a target detection device. The target detection device is a sensor module, obtaining the height data of the asphalt, and thus obtaining a division data item.

[0065] Embodiment 3

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

[0067] Step S400: Obtain the temperature data and humidity data of the paving division item to get the division temperature item and the division humidity item.

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

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

[0070] Specifically, when there are differences in the division data items, at this time, it is judged whether there is a paving division item with the same area as the target division item area. When there is, the target paving item is obtained. The method for obtaining the target paving item includes: based on the target division item, obtain the actual wear depth data of the target division item to get the target depth item. Based on the target depth item and the paving division item, obtain the area in the paving division item with the same wear depth as the target depth item to get the target paving item.

[0071] As Figure 5 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. The number of areas with 0 - 2.5mm is three, which are respectively marked as 1, 2, and 3. The number of areas with 2.5mm - 5mm is four, which are respectively marked as 11, 22, 33, and 44. At this time, it is obtained that the division data item of the area marked as 1 has differences, that is, the area marked as 1 is the target division item. The actual wear depth data of the target division item is 0 - 2.5mm. At this time, the area in the paving division item with the same wear depth as the target depth item is the target paving item, that is, the target paving items are the areas marked as 2 and marked as 3.

[0072] It should be noted that, to obtain the divided temperature item and the divided humidity item corresponding to the target laying item, and get the second target temperature item and the second target humidity item, then 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, it is determined that the target divided item is 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, it is determined that the target divided item is the second feedback item.

[0073] It should be noted that the method for obtaining the target laying item further includes: based on the target divided item, obtaining the actual wear degree color data of the target divided item to get the target color item, and based on the target color item and the laying divided item, obtaining the area in the laying divided item with the same color as the target color item to get the target laying item.

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

[0075] It should be noted that the method for determining the target divided item includes: based on the comparison 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, judge the change attributes of the second target temperature item and the second target humidity item. When the changes of the second target temperature item and the second target humidity item are opposite, it is determined that the target divided item is the second feedback item; when the changes of the second target temperature item and the second target humidity item are the same, it is determined that the target divided item is the first feedback item.

[0076] An automatic real-time monitoring system for highway construction quality, which uses the above-mentioned automatic real-time monitoring method for highway construction quality, includes: an acquisition module: acquiring a laying path, obtaining a laying area item, and based on the laying area item, acquiring the actual wear degree data of the laying path; a division module: based on the actual wear degree data, dividing the laying area item into regions to obtain at least one laying division item; a matching module: acquiring the height data of asphalt to obtain a division data item, acquiring the temperature data and humidity data of the laying division item to obtain a division temperature item and a division humidity item, the division temperature item and the division humidity item corresponding to the division data item respectively, comparing the division data item, when there are differences in the division data item, setting the division data item with differences as the target division item, acquiring the division temperature item and the division humidity item corresponding to the target division item to obtain a first target temperature item and a first target humidity item; a comparison module: determining whether there is a laying division item with the same area as the target division item, when there is, obtaining the target laying item, acquiring the division temperature item and the division humidity item corresponding to the target laying item to obtain a second target temperature item and a second target humidity item, determining 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, determining the target division item as 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, determining the target division item as the second feedback item, when there is no laying division item with the same area as the target division item, determining the target division item as the second feedback item; a feedback module: processing the first feedback item and the second feedback item respectively to perform intelligent monitoring and feedback on the construction quality

[0077] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended 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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