An AI construction management system based on drone aerial data analysis

Abstract

The present application discloses an AI construction management system based on drone aerial photography data analysis, and relates to the field of drone aerial photography road construction technology. The present application includes a road data acquisition module, a road construction analysis module, a road construction lane analysis module, a road construction environment analysis module, and a road construction plan analysis module. Through visual analysis, the flow information and road information of each road in the construction area are obtained, and each construction road in the construction area is obtained. Then, according to the flow information of each road in the construction area, the road construction width and lane plan of each construction road in the construction area are analyzed, and the limitation problems existing in the analysis process of the road width and lane plan of the current road construction are solved, so as to obtain each final construction road in the construction area, and obtain the final road construction plan of the construction area, and provide a reliable basis for the construction of subsequent roads.

Description

Technical Field

[0001] The present application relates to the technical field of drone aerial photography of road construction, and specifically to an AI construction management system based on drone aerial photography data analysis. Background Art

[0002] Currently, there are many people working in towns and cities from rural areas, but there are still some towns and villages without roads. Now we are preparing to build roads. How to build roads, which roads to build and which roads to build first are also important issues in building roads in towns and villages.

[0003] Prior art, such as the invention application patent with announcement number: CN113554355A, discloses an artificial intelligence-based road engineering construction management method and system, the method comprising: taking the image of the area to be operated and the set standard basic functional operation area image of the project as a group of input images, inputting them into the trained first branch neural network, outputting the first generated image, and performing several loop steps, each loop step being: each i-th generated image output by the first branch neural network in the previous loop step is respectively used as a group of input images with the standard basic functional operation area image, inputted into the first branch neural network, outputting each i+1-th generated image, selecting a G-th generated image that meets the set conditions as the predicted operation area trajectory generated image; taking the center point of each basic functional operation area in the image as a node, selecting one of the nodes as the initial node, and using the initial node and the remaining nodes, based on the single-source shortest path algorithm, determining the initial predicted road construction trajectory.

[0004] With respect to the above scheme, the inventors of the present application have at least discovered that the above technology has at least the following technical problems: 1. Currently, the road construction is analyzed based on various images, but there is a lack of road traffic information in the construction area before the road construction, and thus the road width and lane plan cannot be analyzed based on the road traffic information, thereby failing to more accurately understand the current actual situation of the road, and failing to guarantee the comprehensiveness and authenticity of the road construction plan analysis process, and thus failing to guarantee the reference and accuracy of the analysis results, and failing to provide a reliable basis for the road construction plan.

[0005] 2. Currently, there is a lack of analysis of the road construction sequence and road environment, which makes it impossible to truly display the analysis of the road construction plan, and thus it is impossible to ensure the efficiency of road construction, thereby failing to improve the beneficial effects of the road construction plan, and to a certain extent reducing the road construction effect in the construction area. Summary of the invention

[0006] In response to the above-mentioned technical deficiencies, the purpose of this application is to provide an AI construction management system based on drone aerial data analysis.

[0007] To solve the above technical problems, the present application adopts the following technical solutions: The present application provides an AI construction management system based on drone aerial photography data analysis, including the following modules: a road data acquisition module, which is used to use drones to obtain a video set of each road corresponding to the construction area, and use visual analysis to obtain traffic information and road information of each road in the construction area.

[0008] The road construction analysis module is used to analyze the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area according to the flow information of each road in the construction area, and then analyze and obtain the road flow assessment coefficient of each road in the construction area, so as to obtain each construction road in the construction area.

[0009] The road construction lane analysis module is used to analyze the road construction width and lane plan of each road in the construction area according to the traffic information of each road in the construction area.

[0010] The road construction environment analysis module is used to obtain the environmental information corresponding to each road under construction in the construction area, thereby analyzing and obtaining the environmental assessment coefficient of each road under construction in the construction area, determining whether the environmental occupancy of each road under construction in the construction area is abnormal, and obtaining each final road under construction.

[0011] The road construction plan analysis module is used to analyze and obtain the final road construction plan of the construction area based on road information, road flow assessment coefficients and lane plans corresponding to each final road to be constructed.

[0012] Preferably, the traffic information includes pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow, and the road information includes road material, potholes and slope.

[0013] Preferably, the specific acquisition process of obtaining the constructed roads in the constructed area is as follows: sorting the road flow assessment coefficients of the roads in the constructed area from large to small, and then recording the roads with a set ranking in the sorting as the constructed roads in the constructed area.

[0014] Preferably, the analysis obtains the road construction width and lane plan for each road under construction in the construction area, and the specific analysis process is as follows: A1. The pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road under construction in the construction area are respectively compared with the pedestrian flow assessment coefficient threshold, large vehicle flow assessment coefficient threshold, small vehicle flow assessment coefficient threshold and non-motor vehicle flow assessment coefficient threshold in the database.

[0015] A2. When the pedestrian flow assessment coefficient is greater than or equal to the pedestrian flow assessment coefficient threshold in the database, it is judged that a sidewalk needs to be built, otherwise it is judged that a sidewalk does not need to be built; when the large vehicle flow assessment coefficient is greater than or equal to the large vehicle flow assessment coefficient threshold in the database, it is judged that a large lane needs to be built, otherwise it is judged that a large lane does not need to be built; when the small vehicle flow assessment coefficient is greater than or equal to the small vehicle flow assessment coefficient threshold in the database, it is judged that a small lane needs to be built, otherwise it is judged that a small lane does not need to be built; when the non-motor vehicle flow assessment coefficient is greater than or equal to the non-motor vehicle flow assessment coefficient threshold in the database, it is judged that a non-motor vehicle lane needs to be built, otherwise it is judged that a non-motor vehicle lane does not need to be built.

[0016] A3. When it is necessary to build a sidewalk or non-motorized vehicle lane, the road width corresponding to the sidewalk or non-motorized vehicle lane shall be selected as the road width for construction; when it is necessary to build both a sidewalk and a non-motorized vehicle lane, the combined road width of the sidewalk and the non-motorized vehicle lane shall be selected as the road width for construction together; when it is necessary to build a large lane or a small lane, the road width corresponding to the large lane or the small lane shall be selected as the road width for construction; when it is necessary to build both a large lane and a small lane, the combined road width of the large lane and the small lane shall be selected as the road width for construction together; when it is necessary to build both a sidewalk or a non-motorized vehicle lane and a large lane or a small lane, the road width corresponding to the sidewalk or the non-motorized vehicle lane and the road width corresponding to the large lane or the small lane shall be selected as the road width for construction together; When it is necessary to build a sidewalk or non-motorized vehicle lane and both a large lane and a small lane, the road width corresponding to the sidewalk or non-motorized vehicle lane is selected in combination with the combined road width of the large lane and the small lane as the common road width for construction; when it is necessary to build a sidewalk and a non-motorized vehicle lane and both a large lane or a small lane, the combined road width of the sidewalk and the non-motorized vehicle lane is selected in combination with the road width corresponding to the large lane or the small lane as the common road width for construction; when it is necessary to build a sidewalk and a non-motorized vehicle lane and both a large lane and a small lane, the combined road width of the sidewalk and the non-motorized vehicle lane is selected in combination with the combined road width of the large lane and the small lane as the common road width for construction; finally, the lane scheme for each road to be constructed in the construction area is obtained.

[0017] Preferably, the environmental information includes the area occupied by trees for road construction, the area occupied by cultivated land and the area occupied by water sources.

[0018] Preferably, the specific judgment process of judging whether the environmental occupancy of each construction road in the construction area is abnormal is as follows: comparing the environmental assessment coefficient of each construction road in the construction area with the environmental assessment coefficient threshold in the database; when the environmental assessment coefficient of a certain construction road is greater than or equal to the environmental assessment coefficient threshold in the database, it is judged that the environmental occupancy of the construction road is abnormal; otherwise, it is judged that the environmental occupancy of the construction road is not abnormal, and the construction road is recorded as the final construction road, and then the final construction roads are obtained, and thereby judging whether the environmental occupancy of each construction road is abnormal.

[0019] Preferably, the analysis obtains a final road construction plan for the construction area, and the specific analysis process is as follows: the road flow assessment coefficients corresponding to the final roads to be constructed are sorted from large to small, and the sorting results of the final roads to be constructed are used as the road construction order of the final road construction plan for the construction area, and the lane plan of each final road to be constructed is used as the lane plan of the final road construction plan for the construction area; at the same time, according to the road materials, potholes and slope degrees of each final road to be constructed, the road renovation plan of each final road to be constructed is obtained in the database, so as to obtain the final road construction plan for the construction area.

[0020] The beneficial effects of the present application are: 1. The present application provides an AI construction management system based on drone aerial photography data analysis, which obtains the traffic information and road information of each road in the construction area through visual analysis, obtains each construction road in the construction area, and then analyzes the traffic information of each road in the construction area to obtain the road construction width and lane plan of each construction road in the construction area, which solves the limitations existing in the current road construction road width and lane plan analysis process, thereby obtaining the final construction roads in the construction area, and obtaining the final road construction plan for the construction area, and providing a reliable basis for the subsequent road construction.

[0021] 2. This application uses drones to conduct continuous video shooting in areas where access roads are needed and road construction is underway in rural towns, thereby obtaining the flow of people, large vehicles, small vehicles, and non-motor vehicles on each road in the construction area, thereby completing the flow analysis of each road and obtaining each constructed road, making the road selection more accurate and laying the foundation for the subsequent selection of the final roads to be constructed.

[0022] 3. This application analyzes the resources occupied in the process of road construction. When the resources occupied are excessive, the cost of road construction may increase and the ecology may be damaged, which will greatly reduce the beneficial effects of road construction to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 This is a schematic diagram of the system structure connection for this application. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] See also Figure 1 As shown, the present application provides an AI construction management system based on drone aerial photography data analysis, including a road data acquisition module, which is used to use drones to obtain a video set of each road corresponding to the construction area, and use visual analysis to obtain traffic information and road information of each road in the construction area.

[0027] In a specific example, the traffic information includes pedestrian traffic, large vehicle traffic, small vehicle traffic and non-motor vehicle traffic, and the road information includes road materials, potholes and slopes.

[0028] It should be noted that the roads include existing roads and unbuilt paths.

[0029] It should be noted that visual analysis technology is a prior art.

[0030] The road construction analysis module is used to analyze the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area according to the flow information of each road in the construction area, and then analyze and obtain the road flow assessment coefficient of each road in the construction area, so as to obtain each construction road in the construction area.

[0031] In a specific example, the analysis obtains the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area. The specific analysis process is as follows: the pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow of each road are recorded as , , and ,in It is represented by the number corresponding to each road. , Expressed as the total number of roads, is a natural constant greater than or equal to 2.

[0032] According to the calculation formula , , and Obtain the pedestrian flow assessment coefficient of each road in the construction area , Large vehicle flow assessment coefficient , Small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient ,in , , and They are respectively expressed as the reference value of pedestrian flow, the reference value of large vehicle flow, the reference value of small vehicle flow and the reference value of non-motor vehicle flow. , , and They are respectively expressed as the correction factor corresponding to the pedestrian flow in the database, the correction factor corresponding to the large vehicle flow, the correction factor corresponding to the small vehicle flow and the correction factor corresponding to the non-motor vehicle flow.

[0033] It should be noted that the reference value is the standard mean. The reference value of pedestrian flow, reference value of large vehicle flow, reference value of small vehicle flow and reference value of non-motor vehicle flow are obtained by obtaining a video collection of each road corresponding to the construction area by the drone, and using visual analysis to obtain the pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow of each road, and then calculating them based on the mean.

[0034] It should be noted that the correction factors corresponding to pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow are all calculated by the absolute correction factor calculation formula; for example, the correction factor corresponding to pedestrian flow = (actual value of pedestrian flow / acquired value of pedestrian flow), where the acquired value of pedestrian flow is represented by a set of videos acquired by a drone and the value corresponding to the pedestrian flow obtained by visual analysis technology; the correction factors corresponding to large vehicle flow, small vehicle flow and non-motor vehicle flow are calculated in the same way.

[0035] In a specific example, the analysis obtains the road flow evaluation coefficient of each road in the construction area. The specific analysis process is as follows: the pedestrian flow evaluation coefficient of each road in the construction area , Large vehicle flow assessment coefficient , Small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient Substitute into the calculation formula Obtain the road flow assessment coefficient for each road in the construction area ,in , , and They are respectively expressed as the weight factor corresponding to the pedestrian flow assessment coefficient in the database, the weight factor corresponding to the large vehicle flow assessment coefficient, the weight factor corresponding to the small vehicle flow assessment coefficient and the weight factor corresponding to the non-motor vehicle flow assessment coefficient.

[0036] It should be noted that , , , , .

[0037] It should be noted that the weight factors corresponding to the pedestrian flow assessment coefficient, the weight factors corresponding to the large vehicle flow assessment coefficient, the weight factors corresponding to the small vehicle flow assessment coefficient and the weight factors corresponding to the non-motor vehicle flow assessment coefficient are obtained through factor analysis. First, the information of pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow on the road is condensed, and then the variance explanation rate after rotation is obtained, and the weight is obtained by dividing the cumulative variance explanation rate.

[0038] It should be noted that factor analysis is a well-known technology. It is a multivariate statistical analysis method that starts from studying the internal dependencies of variables and reduces some variables with intricate relationships to a few comprehensive factors; information concentration is expressed as calculating the median; the variance explanation rate is the amount of information extracted by the factor, and the variance explanation rate = characteristic root / total number of analysis items; the variance explanation rate after rotation is expressed as the variance explanation rate of the factor after maximum variance rotation.

[0039] In a specific example, the specific acquisition process of obtaining the constructed roads in the constructed area is as follows: sorting the road flow evaluation coefficients of the roads in the constructed area from large to small, and then recording the roads with a set ranking in the sorting as the constructed roads in the constructed area.

[0040] It should be noted that the set rankings for the roads are expressed as set ranking numbers, which need to be set according to the total number of roads. If there are ten roads from A to B, then the set rankings must be less than or equal to ten, for example, the set rankings are the top three roads, and another example is the set rankings are the top four roads.

[0041] The road construction lane analysis module is used to analyze the road construction width and lane plan of each road in the construction area according to the traffic information of each road in the construction area.

[0042] In a specific example, the analysis obtains the road construction width and lane plan for each road under construction in the construction area, and the specific analysis process is as follows: A1. The pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area are compared with the pedestrian flow assessment coefficient threshold, large vehicle flow assessment coefficient threshold, small vehicle flow assessment coefficient threshold and non-motor vehicle flow assessment coefficient threshold in the database respectively.

[0043] A2. When the pedestrian flow assessment coefficient is greater than or equal to the pedestrian flow assessment coefficient threshold in the database, it is judged that a sidewalk needs to be built, otherwise it is judged that a sidewalk does not need to be built; when the large vehicle flow assessment coefficient is greater than or equal to the large vehicle flow assessment coefficient threshold in the database, it is judged that a large lane needs to be built, otherwise it is judged that a large lane does not need to be built; when the small vehicle flow assessment coefficient is greater than or equal to the small vehicle flow assessment coefficient threshold in the database, it is judged that a small lane needs to be built, otherwise it is judged that a small lane does not need to be built; when the non-motor vehicle flow assessment coefficient is greater than or equal to the non-motor vehicle flow assessment coefficient threshold in the database, it is judged that a non-motor vehicle lane needs to be built, otherwise it is judged that a non-motor vehicle lane does not need to be built.

[0044] A3. When it is necessary to build a sidewalk or non-motorized vehicle lane, the road width corresponding to the sidewalk or non-motorized vehicle lane shall be selected as the road width for construction; when it is necessary to build both a sidewalk and a non-motorized vehicle lane, the combined road width of the sidewalk and the non-motorized vehicle lane shall be selected as the road width for construction together; when it is necessary to build a large lane or a small lane, the road width corresponding to the large lane or the small lane shall be selected as the road width for construction; when it is necessary to build both a large lane and a small lane, the combined road width of the large lane and the small lane shall be selected as the road width for construction together; when it is necessary to build both a sidewalk or a non-motorized vehicle lane and a large lane or a small lane, the road width corresponding to the sidewalk or the non-motorized vehicle lane and the road width corresponding to the large lane or the small lane shall be selected as the road width for construction together; When it is necessary to build a sidewalk or non-motorized vehicle lane and both a large lane and a small lane, the road width corresponding to the sidewalk or non-motorized vehicle lane is selected in combination with the combined road width of the large lane and the small lane as the common road width for construction; when it is necessary to build a sidewalk and a non-motorized vehicle lane and both a large lane or a small lane, the combined road width of the sidewalk and the non-motorized vehicle lane is selected in combination with the road width corresponding to the large lane or the small lane as the common road width for construction; when it is necessary to build a sidewalk and a non-motorized vehicle lane and both a large lane and a small lane, the combined road width of the sidewalk and the non-motorized vehicle lane is selected in combination with the combined road width of the large lane and the small lane as the common road width for construction; finally, the lane scheme for each road to be constructed in the construction area is obtained.

[0045] It should be noted that the combined width of the sidewalk and non-motorized vehicle lane is larger than the width of the non-motorized vehicle lane; the combined width of the large lane and the small lane is larger than the width of the large lane.

[0046] This application uses drones to continuously shoot videos in areas where access roads are needed and road construction is underway in rural towns, thereby obtaining the flow of people, large vehicles, small vehicles, and non-motor vehicles on each road in the construction area, thereby completing the flow analysis of each road and obtaining each constructed road, making the road selection more accurate and laying the foundation for the subsequent selection of the final roads to be constructed.

[0047] The road construction environment analysis module is used to obtain the environmental information corresponding to each road under construction in the construction area, thereby analyzing and obtaining the environmental assessment coefficient of each road under construction in the construction area, determining whether the environmental occupancy of each road under construction in the construction area is abnormal, and obtaining each final road under construction.

[0048] In a specific example, the environmental information includes the area occupied by trees for road construction, the area occupied by cultivated land, and the area occupied by water sources.

[0049] It should be noted that the area occupied by trees, cultivated land and water sources are the minimum occupied areas after the shortest detour has been taken in the road construction design.

[0050] In a specific example, the analysis obtains the environmental assessment coefficient of each road in the construction area. The specific analysis process is as follows: the area occupied by trees, the area occupied by cultivated land and the area occupied by water sources of each road in the construction area are recorded as , and ,in It represents the number corresponding to each road under construction. , is the total number of roads built, is a natural integer greater than or equal to 2.

[0051] According to the calculation formula Obtain the environmental assessment coefficient of each road under construction in the construction area ,in Expressed as a natural constant, Expressed as reference value of environmental assessment coefficient, Expressed as the correction factor corresponding to the environmental assessment coefficient in the database.

[0052] It should be noted that .

[0053] It should be noted that the correction factor corresponding to the environmental assessment coefficient is a digital factor multiplied by the uncorrected measurement result to compensate for the error caused by the calculation of the environmental assessment coefficient; the correction factor corresponding to the environmental assessment coefficient = (measured value of the environmental assessment coefficient - the reference value of the correction factor corresponding to the environmental assessment coefficient) / the reference value of the correction factor corresponding to the environmental assessment coefficient.

[0054] In a specific example, the process of determining whether the environmental occupancy of each road under construction in the construction area is abnormal is as follows: comparing the environmental assessment coefficient of each road under construction in the construction area with the environmental assessment coefficient threshold in the database; when the environmental assessment coefficient of a road under construction is greater than or equal to the environmental assessment coefficient threshold in the database, determining that the environmental occupancy of the road under construction is abnormal; otherwise, determining that the environmental occupancy of the road under construction is not abnormal, and recording the road under construction as the final road under construction; and then obtaining each final road under construction, and thereby determining whether the environmental occupancy of each road under construction is abnormal.

[0055] This application analyzes the resources occupied in the process of road construction. When the occupied resources are excessive, the cost of road construction may increase and the ecology may be damaged, which may greatly reduce the beneficial effects of road construction to a certain extent.

[0056] The road construction plan analysis module is used to analyze and obtain the final road construction plan of the construction area based on road information, road flow assessment coefficients and lane plans corresponding to each final road to be constructed.

[0057] In a specific example, the analysis obtains a final road construction plan for the construction area, and the specific analysis process is as follows: the final road construction plan includes the road construction sequence, lane plan and road renovation plan of each final road to be constructed in the construction area; then the road flow assessment coefficients corresponding to each final road to be constructed are sorted from large to small, and the sorting results of each final road to be constructed are used as the road construction sequence of the final road construction plan for the construction area, and the lane plan of each final road to be constructed is used as the lane plan of the final road construction plan for the construction area; at the same time, according to the road materials, potholes and slope degrees of each final road to be constructed, the road renovation plan of each final road to be constructed is obtained in the database, and then the final road construction plan for the construction area is obtained.

[0058] It should be noted that, based on the road materials, potholes and slope degrees of each final constructed road, the road renovation plan of each final constructed road is obtained in the database, which is represented by searching the road renovation plan table in the database according to the road materials, potholes and slope degrees of each final constructed road. When the road materials, potholes and slope degrees of a certain final constructed road are the same as the road materials, potholes and slope degrees of a certain road modification plan in the road modification plan table, the road modification plan is used as the road renovation plan of the final constructed road, thereby obtaining the road renovation plan of each final constructed road in the database.

[0059] It should be noted that when the first final construction road is being constructed, the second final construction road is used as an auxiliary road for traffic; when any road is completed, that road is used for traffic.

[0060] The present application provides an AI construction management system based on drone aerial photography data analysis, which obtains traffic information and road information of each road in the construction area through visual analysis, obtains each construction road in the construction area, and then analyzes the road width and lane plan of each construction road in the construction area based on the traffic information of each road in the construction area, solves the limitations existing in the current road width and lane plan analysis process of road construction, thereby obtaining each final construction road in the construction area, and deriving the final road construction plan for the construction area, and providing a reliable basis for the subsequent road construction.

[0061] The above contents are merely examples and explanations of the concept of the present application. The technical personnel in the relevant technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present application.

Claims

1. An AI construction management system based on drone aerial data analysis, characterized in that: include: A road data acquisition module is used to use a drone to acquire a video set of each road corresponding to the construction area, and use visual analysis to acquire traffic information and road information of each road in the construction area; The road construction analysis module is used to analyze the flow information of each road in the construction area to obtain the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area, and then analyze and obtain the road flow assessment coefficient of each road in the construction area, so as to obtain each construction road in the construction area; The analysis results in the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area. The specific analysis process is as follows: The pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow of each road are recorded as , , and ,in It is represented by the number corresponding to each road. , Expressed as the total number of roads, is a natural constant greater than or equal to 2; According to the calculation formula , , and Obtain the pedestrian flow assessment coefficient of each road in the construction area , Large vehicle flow assessment coefficient , Small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient ,in , , and They are respectively expressed as the reference value of pedestrian flow, the reference value of large vehicle flow, the reference value of small vehicle flow and the reference value of non-motor vehicle flow. , , and They are respectively expressed as the correction factor corresponding to the flow of people in the database, the correction factor corresponding to the flow of large vehicles, the correction factor corresponding to the flow of small vehicles and the correction factor corresponding to the flow of non-motor vehicles; The road construction lane analysis module is used to analyze the road construction width and lane plan of each road in the construction area according to the traffic information of each road in the construction area; The road construction environment analysis module is used to obtain the environmental information corresponding to each road under construction in the construction area, thereby analyzing and obtaining the environmental assessment coefficient of each road under construction in the construction area, and judging whether the environmental occupation of each road under construction in the construction area is abnormal, and obtaining each final road under construction; The road construction plan analysis module is used to analyze and obtain the final road construction plan of the construction area based on road information, road flow assessment coefficients and lane plans corresponding to each final road to be constructed.

2. According to claim 1, an AI construction management system based on drone aerial data analysis is characterized in that: The traffic information includes pedestrian flow, large vehicle flow, small vehicle flow and non-motor vehicle flow, and the road information includes road materials, potholes and slopes.

3. The AI ​​construction management system based on drone aerial data analysis according to claim 2 is characterized in that: The analysis results in the road flow assessment coefficients of each road in the construction area. The specific analysis process is as follows: The pedestrian flow assessment coefficient of each road in the construction area , Large vehicle flow assessment coefficient , Small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient Substitute into the calculation formula Obtain the road flow assessment coefficient for each road in the construction area ,in , , and They are respectively expressed as the weight factor corresponding to the pedestrian flow assessment coefficient in the database, the weight factor corresponding to the large vehicle flow assessment coefficient, the weight factor corresponding to the small vehicle flow assessment coefficient and the weight factor corresponding to the non-motor vehicle flow assessment coefficient.

4. According to claim 3, an AI construction management system based on drone aerial data analysis is characterized in that: The specific process of obtaining each road under construction in the construction area is as follows: The road flow evaluation coefficients of the roads in the construction area are sorted from large to small, and the roads ranked in the sorting are recorded as the construction roads in the construction area.

5. According to claim 4, an AI construction management system based on drone aerial data analysis is characterized in that: The analysis results in the road width and lane plan for each road under construction in the construction area. The specific analysis process is as follows: A1. Compare the pedestrian flow assessment coefficient, large vehicle flow assessment coefficient, small vehicle flow assessment coefficient and non-motor vehicle flow assessment coefficient of each road in the construction area with the pedestrian flow assessment coefficient threshold, large vehicle flow assessment coefficient threshold, small vehicle flow assessment coefficient threshold and non-motor vehicle flow assessment coefficient threshold in the database respectively; A2. When the pedestrian flow assessment coefficient is greater than or equal to the threshold of the pedestrian flow assessment coefficient in the database, it is judged that a sidewalk needs to be built, otherwise it is judged that a sidewalk does not need to be built; when the large vehicle flow assessment coefficient is greater than or equal to the threshold of the large vehicle flow assessment coefficient in the database, it is judged that a large lane needs to be built, otherwise it is judged that a large lane does not need to be built; when the small vehicle flow assessment coefficient is greater than or equal to the threshold of the small vehicle flow assessment coefficient in the database, it is judged that a small lane needs to be built, otherwise it is judged that a small lane does not need to be built; when the non-motor vehicle flow assessment coefficient is greater than or equal to the threshold of the non-motor vehicle flow assessment coefficient in the database, it is judged that a non-motor vehicle lane needs to be built, otherwise it is judged that a non-motor vehicle lane does not need to be built; A3. When it is necessary to build a sidewalk or non-motorized vehicle lane, the road width corresponding to the sidewalk or non-motorized vehicle lane shall be selected as the road width for construction; When both a sidewalk and a non-motorized vehicle lane need to be built, the combined width of the sidewalk and the non-motorized vehicle lane shall be selected as the common width of the sidewalk and the non-motorized vehicle lane; When a large lane or a small lane needs to be built, the road width corresponding to the large lane or the small lane is selected as the road width for construction; When it is necessary to build both a large lane and a small lane, the combined road width of the large lane and the small lane is selected as the common road width for the large lane and the small lane; when it is necessary to build a sidewalk or a non-motorized vehicle lane and a large lane or a small lane, the road width corresponding to the sidewalk or non-motorized vehicle lane is selected in combination with the road width corresponding to the large lane or the small lane as the common road width for construction; when it is necessary to build a sidewalk or a non-motorized vehicle lane and both a large lane and a small lane are required, the road width corresponding to the sidewalk or non-motorized vehicle lane is selected in combination with the road width combined with the large lane and the small lane as the common road width for construction; When it is necessary to build both a sidewalk and a non-motorized vehicle lane and a large lane or a small lane, the combined road width of the sidewalk and the non-motorized vehicle lane and the road width corresponding to the large lane or the small lane are selected as the common road width for construction; When it is necessary to build both sidewalks and non-motorized vehicle lanes and both large lanes and small lanes, the combined road width of the sidewalks and non-motorized vehicle lanes and the combined road width of the large lanes and small lanes are selected as the common construction road width; finally, the lane plan for each construction road in the construction area is obtained.

6. The AI ​​construction management system based on drone aerial data analysis according to claim 5 is characterized in that: The environmental information includes the area occupied by trees for road construction, the area occupied by cultivated land and the area occupied by water sources.

7. The AI ​​construction management system based on drone aerial data analysis according to claim 6 is characterized in that: The analysis results in the environmental assessment coefficients of each road under construction in the construction area. The specific analysis process is as follows: The area occupied by trees, cultivated land and water sources of each road in the construction area are recorded as , and ,in It represents the number corresponding to each road under construction. , is the total number of roads built, is a natural integer greater than or equal to 2; According to the calculation formula Obtain the environmental assessment coefficient of each road under construction in the construction area ,in is expressed as a natural constant, Expressed as reference value of environmental assessment coefficient, Expressed as the correction factor corresponding to the environmental assessment coefficient in the database.

8. The AI ​​construction management system based on drone aerial data analysis according to claim 7 is characterized in that: The specific judgment process of judging whether the environmental occupation of each road under construction in the construction area is abnormal is as follows: The environmental assessment coefficient of each construction road in the construction area is compared with the environmental assessment coefficient threshold in the database. When the environmental assessment coefficient of a construction road is greater than or equal to the environmental assessment coefficient threshold in the database, it is judged that the environmental occupancy of the construction road is abnormal. Otherwise, it is judged that the environmental occupancy of the construction road is not abnormal, and the construction road is recorded as the final construction road, and then the final construction roads are obtained, and whether the environmental occupancy of each construction road is abnormal is judged thereby.

9. The AI ​​construction management system based on drone aerial data analysis according to claim 8 is characterized in that: The analysis results in the final road construction plan for the construction area. The specific analysis process is as follows: The road flow assessment coefficients corresponding to the final roads to be constructed are sorted from large to small, and the sorting results of the final roads to be constructed are used as the road construction order of the final road construction plan of the construction area. At the same time, the lane plan of each final road to be constructed is used as the lane plan of the final road construction plan of the construction area; at the same time, according to the road materials, potholes and slope degrees of each final road to be constructed, the road renovation plan of each final road to be constructed is obtained in the database, and then the final road construction plan of the construction area is obtained.

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