A method, system and medium for processing 3D scanning data of road construction

Abstract

The present application provides a method, system and medium for processing 3D scanning data of road construction. The method includes: collecting original point cloud information and extracting initial road surface feature data, then performing paving compliance evaluation to obtain an initial road surface compliance index, and performing threshold comparison to fill and repair the non-compliant road surface to be paved, paving the compliant road surface to be paved according to the paving process data of the compliant road surface to be paved to obtain the paved road surface, and then performing paving effect evaluation according to the paving road surface state feature data to obtain the paving effect deviation index and the paving effect compliance index respectively, and then performing paving reliability evaluation in combination with the paving difficulty attribute coefficient to obtain the paving effectiveness evaluation index, and finally performing threshold comparison to judge the construction effect and compensate for the construction; thereby realizing the acquisition of road paving data information and the effectiveness evaluation technology of paving effect data based on 3D and big data.

Description

Technical Field

[0001] The present application relates to the technical field of 3D scanning data processing, and in particular to a method, system and medium for processing 3D scanning data of road construction. Background Art

[0002] In the construction of infrastructure such as roads, bridges and tunnels, pavement paving is a key link. Traditional paving methods mainly rely on manpower, which is not only inefficient but also difficult to ensure construction quality. The main defects and problems are: the preparation process of the guide rail transfer method is numerous, time-consuming, labor-intensive and inefficient, and the overall benefit is poor; human factors have a great influence on the accuracy of benchmark control; various waves often appear in the paving layer, water is easily formed on the road surface, and the flatness of the paved layer is poor; due to the defects of traditional construction methods in precision control, once the precision control is insufficient, it will cause problems such as under-paving, over-paving, uneven layer thickness, and serious construction waste.

[0003] How to overcome the above-mentioned technical and process deficiencies, improve paving technology and quality, and ensure the comfort of road driving is the goal pursued by road construction. However, how to process, control and evaluate the quality and process of road paving through information data is the shortcoming of current road construction technology.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of this application is to provide a method, system and medium for processing 3D scanning data of pavement construction, which can perform information extraction and data processing on pavement paving based on a three-dimensional database and platform, implement the paving process of the paved pavement and evaluate the paving quality by obtaining the paving effect deviation index and the paving effect compliance index, and realize intelligent pavement paving construction through data scanning, processing and evaluation technology of 3D database and platform.

[0006] The present application also provides a method for processing 3D scanning data of road construction, comprising the following steps:

[0007] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data;

[0008] Obtaining pavement attribute classification data of the road surface to be paved, and processing it in combination with initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved;

[0009] Performing paving compliance evaluation based on the initial pavement characteristic data and preset pavement paving standard characteristic data to obtain an initial pavement compliance index;

[0010] Comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved;

[0011] According to a preset pavement 3D database model, feature picking is performed on the compliant pavement to be paved, and pavement paving process data is obtained; and according to the pavement paving process data, the compliant pavement to be paved is paved to obtain a paved pavement after paving construction;

[0012] Acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain paving effect deviation indexes and paving effect compliance indexes respectively;

[0013] According to the paving effect deviation index and the paving effect compliance index, paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index;

[0014] The paving effectiveness evaluation index is compared with a preset paving effectiveness threshold. If the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paving road surface.

[0015] Optionally, in the method for processing 3D scanning data of pavement construction described in the present application, the original point cloud information of the road to be paved is collected by a preset road 3D scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data, including:

[0016] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information;

[0017] The original point cloud information is processed by a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

[0018] Optionally, in the method for processing 3D scanning data of road construction described in the present application, the obtaining of pavement attribute classification data of the road surface to be paved and processing in combination with the initial road surface feature data to obtain a paving difficulty attribute coefficient of the road surface to be paved includes:

[0019] Obtaining pavement attribute classification data of the pavement to be paved, including pavement type data, pavement structure data, pavement topography data, and pavement function data;

[0020] According to the pavement type data, pavement structure data, pavement topography data and pavement function data, combined with the initial pavement flatness data and the initial pavement settlement data, a paving difficulty attribute coefficient of the pavement to be paved is obtained by calculating and processing through a preset pavement paving difficulty assessment model;

[0021] The calculation formula of the paving difficulty attribute coefficient is:

[0022]

[0023] Among them, r w is the paving difficulty attribute coefficient, z k 、n t 、f p , k j They are pavement type data, pavement structure data, pavement topography data, and pavement function data, respectively. v ,q y They are the initial road surface flatness data and the initial road surface settlement data, η1 and η2 are preset characteristic coefficients.

[0024] Optionally, in the method for processing 3D scanning data of pavement construction described in the present application, the paving compliance evaluation is performed according to the initial pavement feature data and the preset pavement paving standard feature data to obtain the initial pavement compliance index, including:

[0025] Performing compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data in combination with preset road surface paving standard flatness data and preset road surface paving standard settlement data to obtain an initial road surface compliance index;

[0026] The calculation formula of the initial road surface compliance index is:

[0027]

[0028] Among them, u f is the initial road surface compliance index, b v ,q y are the initial road surface flatness data and initial road surface settlement data, respectively. s , Q x They are respectively the preset road pavement standard flatness data and the preset road pavement standard settlement data, and β1, β2, λ1, and λ2 are the preset characteristic coefficients.

[0029] Optionally, in the method for processing 3D scanning data of pavement construction described in the present application, the feature picking of the compliant pavement to be paved is performed according to a preset pavement paving three-dimensional database model to obtain pavement paving process data, and the compliant pavement to be paved is paved according to the pavement paving process data to obtain the paved pavement after paving construction, including:

[0030] Processing the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data, and paving density data;

[0031] The paving construction is performed on the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after the paving construction.

[0032] Optionally, in the method for processing 3D scanning data of pavement construction described in the present application, the paving pavement state characteristic data of the paved pavement is obtained according to the preset pavement 3D scanning monitoring platform, and the paving effect is evaluated according to the paving pavement state characteristic data, and the paving effect deviation index and the paving effect compliance index are obtained respectively, including:

[0033] Acquiring paved road surface state characteristic data of the paved road surface according to the preset road surface three-dimensional scanning monitoring platform;

[0034] The paving road surface state characteristic data includes paving concave point distribution area data, paving concave point maximum depth data, paving convex point distribution area data, paving convex point maximum depth data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data;

[0035] According to the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data and the paving convex point maximum depth data, the paving effect deviation degree is evaluated to obtain the paving effect deviation index;

[0036] Performing a paving effect compliance evaluation based on the paving flatness data, paving slope data, paving thickness uniformity data, and paving compaction data to obtain a paving effect compliance index;

[0037] The calculation formula of the paving effect deviation index is:

[0038]

[0039] Among them, p c is the paving effect deviation index, w e 、v t ,y u 、i oThey are the distribution area data of paving concave points, the deepest data of paving concave points, the distribution area data of paving convex points, and the highest data of paving convex points, and α, φ, ρ, and τ are the preset characteristic coefficients;

[0040] The calculation formula of the paving effect compliance index is:

[0041]

[0042] Among them, h g is the paving effect compliance index, s d , g l 、e q ,t m They are paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data respectively, and μ, ν, δ, and γ are preset characteristic coefficients.

[0043] Optionally, in the method for processing 3D scanning data of pavement construction described in the present application, the paving reliability evaluation is performed according to the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index, including:

[0044] According to the paving effect deviation index and the paving effect compliance index, in combination with the paving difficulty attribute coefficient, a paving reliability assessment is performed through a preset pavement paving reliability assessment model to obtain a paving effectiveness assessment index;

[0045] The calculation formula of the paving effectiveness evaluation index is:

[0046]

[0047] Among them, c x is the paving effect compliance index, p c 、h g 、r w They are the paving effect deviation index, paving effect compliance index, and paving difficulty attribute coefficient, θ, π is the preset characteristic coefficient.

[0048] In a second aspect, the present application provides a system for processing 3D scanning data of road construction, the system comprising: a memory and a processor, the memory comprising a program of a method for processing 3D scanning data of road construction, and the program of the method for processing 3D scanning data of road construction is executed by the processor to implement the following steps:

[0049] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data;

[0050] Obtaining pavement attribute classification data of the road surface to be paved, and processing it in combination with initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved;

[0051] Performing paving compliance evaluation based on the initial pavement characteristic data and preset pavement paving standard characteristic data to obtain an initial pavement compliance index;

[0052] Comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved;

[0053] According to a preset pavement 3D database model, feature picking is performed on the compliant pavement to be paved, and pavement paving process data is obtained; and according to the pavement paving process data, the compliant pavement to be paved is paved to obtain a paved pavement after paving construction;

[0054] Acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain paving effect deviation indexes and paving effect compliance indexes respectively;

[0055] According to the paving effect deviation index and the paving effect compliance index, paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index;

[0056] The paving effectiveness evaluation index is compared with a preset paving effectiveness threshold. If the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paving road surface.

[0057] Optionally, in the processing system for 3D scanning data of pavement construction described in the present application, the original point cloud information of the road to be paved is collected by a preset road 3D scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data, including:

[0058] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information;

[0059] The original point cloud information is processed by a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

[0060] In a third aspect, the present application also provides a computer-readable storage medium, which stores a program for a method for processing 3D scanning data of road construction. When the program for processing 3D scanning data of road construction is executed by a processor, the steps of the method for processing 3D scanning data of road construction as described in any one of the above items are implemented.

[0061] As can be seen from the above, the present application provides a method, system and medium for processing 3D scanning data of road construction, which obtains initial road feature data by collecting original point cloud information and performing data extraction, and processes the data in combination with the acquired road attribute classification data of the road surface to be paved to obtain the paving difficulty attribute coefficient of the road surface to be paved. In addition, the paving compliance is evaluated based on the initial road feature data and the preset road paving standard feature data to obtain the initial road surface compliance index, and the index is compared with the preset road surface compliance threshold. The road surface to be paved that does not meet the threshold requirements is filled and repaired to obtain the repaired compliant road surface to be paved. The compliant road surface to be paved is paved according to the road paving process data to obtain the paved road surface The surface is then acquired, and characteristic data of the paving pavement status is evaluated for paving effect, and a paving effect deviation index and a paving effect compliance index are obtained. The paving reliability is evaluated in combination with the paving difficulty attribute coefficient, and a paving effectiveness evaluation index is obtained. The index is compared with the preset paving effectiveness threshold, and compensatory construction is performed on the paving pavement whose paving construction effect does not meet the requirements. Thus, information extraction and data processing of pavement paving are performed based on the three-dimensional database and platform, and the paving process and paving quality effectiveness evaluation of the paving pavement are implemented by obtaining the paving effect deviation index and the paving effect compliance index, thereby realizing intelligent pavement paving construction through the data scanning, processing and evaluation technology of the 3D database and platform.

[0062] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0064] Figure 1 A flowchart of a method for processing 3D scanning data of road construction provided in an embodiment of the present application;

[0065] Figure 2 A flowchart of obtaining initial pavement feature data of a method for processing 3D scanning data of pavement construction provided in an embodiment of the present application;

[0066] Figure 3 A flow chart of obtaining a paving difficulty attribute coefficient in a method for processing 3D scanning data of pavement construction provided in an embodiment of the present application;

[0067] Figure 4 A flowchart of obtaining an initial pavement compliance index for a method for processing 3D scanning data of pavement construction provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0069] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0070] Please refer to Figure 1 , Figure 1 Flowchart of a method for processing 3D scanning data of road construction in some embodiments of the present application. The method for processing 3D scanning data of road construction is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for processing 3D scanning data of road construction comprises the following steps:

[0071] S11, collecting original point cloud information of the road surface to be paved through a preset road surface three-dimensional scanning monitoring platform, and extracting data from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data;

[0072] S12, obtaining pavement attribute classification data of the road surface to be paved, and processing the data in combination with the initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved;

[0073] S13, performing paving compliance evaluation according to the initial pavement characteristic data and preset pavement paving standard characteristic data to obtain an initial pavement compliance index;

[0074] S14, comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved;

[0075] S15, picking up features of the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, and paving the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after paving construction;

[0076] S16, acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data, to obtain a paving effect deviation index and a paving effect compliance index respectively;

[0077] S17, performing paving reliability evaluation according to the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index;

[0078] S18. Compare the paving effectiveness evaluation index with a preset paving effectiveness threshold. If the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paving road surface.

[0079] It should be noted that the pavement 3D scanning and monitoring platform is a preset data acquisition platform for collecting various types of monitoring information on the pavement. In order to realize the intelligent paving of the construction road surface, the 3D scanning data processing technology is used to improve the flatness of the road surface and the road surface forming accuracy, and to improve the construction efficiency and quality. It is necessary to first collect the original point cloud information of the road surface to be paved through the existing pavement 3D scanning and monitoring platform, and extract data from the original point cloud information to obtain the initial pavement feature data. At the same time, the pavement attribute classification data of the road surface to be paved is combined to obtain the paving difficulty attribute coefficient. In addition, the paving compliance is evaluated based on the initial pavement feature data and the pavement paving standard feature data to obtain the initial pavement compliance index, which is compared with the preset pavement compliance threshold. The pavement surface to be paved that does not meet the threshold requirements is filled and repaired until the compliant pavement to be paved after repair is obtained, and then the preset pavement paving three-dimensional data is used. The pavement paving process data of the compliant pavement to be paved is obtained by picking up the model from the database, and the compliant pavement to be paved is paved according to the pavement paving process data to obtain the pavement after paving, and then the paved pavement state characteristic data is obtained, and the paving effect evaluation is performed respectively to obtain the paving effect deviation index and the paving effect compliance index, and the paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain the paving effectiveness evaluation index, and finally the paving effectiveness evaluation index is compared with the preset paving effectiveness threshold, and compensatory construction is performed on the paving pavement whose paving construction effect does not meet the requirements, and finally a paved pavement that meets the expected construction goals is obtained. Through the information extraction and data processing of the three-dimensional database and platform of pavement paving construction, the paving data processing and quality evaluation of the pavement can be realized, and the pavement paving quality and pavement paving accuracy can be improved through data processing, thereby realizing the big data processing technology for pavement paving.

[0080] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of a method for processing 3D scanning data of road construction in some embodiments of the present application to obtain initial road surface characteristic data. According to an embodiment of the present invention, the original point cloud information of the road surface to be paved is collected through a preset road surface 3D scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data, including:

[0081] S21, collecting original point cloud information of the road surface to be paved through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information;

[0082] S22, processing the original point cloud information through a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

[0083] It should be noted that in order to obtain the characteristic data of the initial road surface, it is necessary to first collect the original point cloud information of the road surface to be paved. Through the road surface three-dimensional scanning monitoring platform preset by a third party, multiple original point cloud information including original spatial coordinates, original reflection intensity, original normal, original texture and original structural features can be collected. Then the above-mentioned original point cloud information is input into the preset road surface feature description model for processing to obtain the initial road surface flatness data and initial road surface settlement data. The road surface feature description model is a mature and complete model built through training, learning and optimization of a large amount of historical road surface feature data and sample road surface feature data.

[0084] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of a method for processing 3D scanning data of road construction in some embodiments of the present application for obtaining a paving difficulty attribute coefficient. According to an embodiment of the present invention, the pavement attribute classification data of the road surface to be paved is obtained, and the pavement attribute coefficient of the road surface to be paved is obtained by combining the initial pavement feature data for processing, including:

[0085] S31, obtaining pavement attribute classification data of the road surface to be paved, including pavement type data, pavement structure data, pavement topography data and pavement function data;

[0086] S32, calculating and processing the pavement type data, pavement structure data, pavement topography data and pavement function data in combination with the initial pavement flatness data and the initial pavement settlement data through a preset pavement paving difficulty assessment model to obtain a paving difficulty attribute coefficient of the pavement to be paved;

[0087] The calculation formula of the paving difficulty attribute coefficient is:

[0088]

[0089] Among them, r w is the paving difficulty attribute coefficient, z k 、n t 、f p , k j They are pavement type data, pavement structure data, pavement topography data, and pavement function data, respectively. v ,q y They are the initial road surface flatness data and the initial road surface settlement data, η1 and η2 are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset road surface three-dimensional scanning monitoring database).

[0090] It should be noted that different road surfaces have different paving difficulties, which is related to the geographical location, topography, structure, type and function of the road surface to be paved, as well as the initial road surface flatness data and initial road surface settlement data. Therefore, it is necessary to first obtain the pavement attribute classification data of the road surface to be paved, and combine the initial road surface flatness data and initial road surface settlement data into the calculation formula of the acquired pavement paving difficulty assessment model for calculation and processing, so as to obtain the paving difficulty attribute coefficient of the road surface to be paved, so as to ensure a more accurate subsequent paving effectiveness evaluation.

[0091] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of a method for processing 3D scanning data of pavement construction in some embodiments of the present application to obtain an initial pavement compliance index. According to an embodiment of the present invention, the paving compliance evaluation is performed based on the initial pavement feature data and the preset pavement paving standard feature data to obtain the initial pavement compliance index, including:

[0092] S41, performing compliance evaluation according to the initial road surface flatness data and the initial road surface settlement data combined with preset road surface paving standard flatness data and preset road surface paving standard settlement data to obtain an initial road surface compliance index;

[0093] The calculation formula of the initial road surface compliance index is:

[0094]

[0095] Among them, u f is the initial road surface compliance index, b v ,q y are the initial road surface flatness data and initial road surface settlement data, respectively. s , Q x They are respectively the preset road pavement standard flatness data and the preset road pavement standard settlement data, and β1, β2, λ1, λ2 are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road pavement three-dimensional monitoring database).

[0096] It should be noted that in order to evaluate the paving compliance of the initial road surface, it is necessary to conduct a compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data, combined with the acquired road surface paving standard flatness data and road surface paving standard settlement data, to obtain the initial road surface compliance index.

[0097] According to an embodiment of the present invention, the feature picking of the compliant road surface to be paved is performed according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, and the compliant road surface to be paved is paved according to the road surface paving process data to obtain the paved road surface after paving construction, including:

[0098] Processing the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data, and paving density data;

[0099] The paving construction is performed on the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after the paving construction.

[0100] It should be noted that the pavement paving three-dimensional database model is a preset database model that is linked to the core components of scanning sensors such as the total station intelligent robot, three-dimensional scanner, sensor, control box and digital radio. The model for obtaining pavement paving process parameter data is obtained through pavement scanning, point cloud data collection and processing, feature extraction, model construction and continuous training with a large amount of historical and sample data. After obtaining the repaired compliant pavement to be paved, the pavement to be paved is further paved. Therefore, the compliant pavement to be paved is processed according to the acquired preset pavement paving three-dimensional database model to obtain pavement paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data and paving density data, wherein the paving mechanical property data include mechanical property data such as stress distribution, strain, elastic modulus, etc. Then, according to the above-mentioned pavement paving process data, paving construction is carried out on the compliant pavement to be paved to obtain the paved pavement after paving construction.

[0101] According to an embodiment of the present invention, the paving pavement state characteristic data of the paved pavement is obtained according to the preset pavement three-dimensional scanning monitoring platform, and the paving effect is evaluated according to the paving pavement state characteristic data, and the paving effect deviation index and the paving effect compliance index are obtained respectively, including:

[0102] Acquiring paved road surface state characteristic data of the paved road surface according to the preset road surface three-dimensional scanning monitoring platform;

[0103] The paving road surface state characteristic data includes paving concave point distribution area data, paving concave point maximum depth data, paving convex point distribution area data, paving convex point maximum depth data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data;

[0104] According to the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data and the paving convex point maximum depth data, the paving effect deviation degree is evaluated to obtain the paving effect deviation index;

[0105] Performing a paving effect compliance evaluation based on the paving flatness data, paving slope data, paving thickness uniformity data, and paving compaction data to obtain a paving effect compliance index;

[0106] The calculation formula of the paving effect deviation index is:

[0107]

[0108] Among them, p c is the paving effect deviation index, w e 、v t ,y u 、i o They are the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data, and the paving convex point maximum depth data, respectively. α, φ, ρ, τ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road surface three-dimensional scanning monitoring database);

[0109] The calculation formula of the paving effect compliance index is:

[0110]

[0111] Among them, h g is the paving effect compliance index, s d , g l 、e q ,t m They are paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data respectively, and μ, ν, δ, γ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road surface three-dimensional scanning monitoring database).

[0112] It should be noted that in order to obtain the paving effect evaluation, the paving pavement state characteristic data of the pavement after paving are obtained according to the acquired pavement three-dimensional scanning monitoring platform, including paving pit distribution area data, paving pit maximum data, paving convex point distribution area data, paving convex point maximum data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data, and the paving effect deviation is evaluated based on the above-obtained paving pit distribution area data, paving pit maximum data, paving convex point distribution area data and paving convex point maximum data, to obtain the paving effect deviation index; the paving effect compliance is evaluated based on the above-obtained paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data, to obtain the paving effect compliance index.

[0113] According to an embodiment of the present invention, the paving reliability evaluation is performed based on the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index, including:

[0114] According to the paving effect deviation index and the paving effect compliance index, in combination with the paving difficulty attribute coefficient, a paving reliability assessment is performed through a preset pavement paving reliability assessment model to obtain a paving effectiveness assessment index;

[0115] The calculation formula of the paving effectiveness evaluation index is:

[0116]

[0117] Among them, c x is the paving effect compliance index, p c 、h g 、r w They are the paving effect deviation index, paving effect compliance index, and paving difficulty attribute coefficient, θ, π is the preset characteristic coefficient.

[0118] It should be noted that after obtaining the paving effect evaluation, it is necessary to further obtain a paving reliability evaluation. According to the paving effect deviation index and the paving effect compliance index, combined with the paving difficulty attribute coefficient, the paving reliability evaluation is performed by inputting the calculation formula of the obtained pavement paving reliability evaluation model to obtain the paving effectiveness evaluation index.

[0119] The second aspect of the present invention further discloses a system for processing 3D scanning data of road construction, comprising a memory and a processor, wherein the memory comprises a processing method program for 3D scanning data of road construction, and when the processing method program for 3D scanning data of road construction is executed by the processor, the following steps are implemented:

[0120] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data;

[0121] Obtaining pavement attribute classification data of the road surface to be paved, and processing it in combination with initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved;

[0122] Performing paving compliance evaluation based on the initial pavement characteristic data and preset pavement paving standard characteristic data to obtain an initial pavement compliance index;

[0123] Comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved;

[0124] According to a preset pavement 3D database model, feature picking is performed on the compliant pavement to be paved, and pavement paving process data is obtained; and according to the pavement paving process data, the compliant pavement to be paved is paved to obtain a paved pavement after paving construction;

[0125] Acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain paving effect deviation indexes and paving effect compliance indexes respectively;

[0126] According to the paving effect deviation index and the paving effect compliance index, paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index;

[0127] The paving effectiveness evaluation index is compared with a preset paving effectiveness threshold. If the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paving road surface.

[0128] It should be noted that the pavement 3D scanning and monitoring platform is a preset data acquisition platform for collecting various types of monitoring information on the pavement. In order to realize the intelligent paving of the construction road surface, the 3D scanning data processing technology is used to improve the flatness of the road surface and the road surface forming accuracy, and to improve the construction efficiency and quality. It is necessary to first collect the original point cloud information of the road surface to be paved through the existing pavement 3D scanning and monitoring platform, and extract data from the original point cloud information to obtain the initial pavement feature data. At the same time, the pavement attribute classification data of the road surface to be paved is combined to obtain the paving difficulty attribute coefficient. In addition, the paving compliance is evaluated based on the initial pavement feature data and the pavement paving standard feature data to obtain the initial pavement compliance index, which is compared with the preset pavement compliance threshold. The pavement surface to be paved that does not meet the threshold requirements is filled and repaired until the compliant pavement to be paved after repair is obtained, and then the preset pavement paving three-dimensional data is used. The pavement paving process data of the compliant pavement to be paved is obtained by picking up the model from the database, and the compliant pavement to be paved is paved according to the pavement paving process data to obtain the pavement after paving, and then the paved pavement state characteristic data is obtained, and the paving effect evaluation is performed respectively to obtain the paving effect deviation index and the paving effect compliance index, and the paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain the paving effectiveness evaluation index, and finally the paving effectiveness evaluation index is compared with the preset paving effectiveness threshold, and compensatory construction is performed on the paving pavement whose paving construction effect does not meet the requirements, and finally a paved pavement that meets the expected construction goals is obtained. Through the information extraction and data processing of the three-dimensional database and platform of pavement paving construction, the paving data processing and quality evaluation of the pavement can be realized, and the pavement paving quality and pavement paving accuracy can be improved through data processing, thereby realizing the big data processing technology for pavement paving.

[0129] According to an embodiment of the present invention, the original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data, including:

[0130] The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information;

[0131] The original point cloud information is processed by a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

[0132] It should be noted that in order to obtain the characteristic data of the initial road surface, it is necessary to first collect the original point cloud information of the road surface to be paved. Through the existing road surface three-dimensional scanning and monitoring platform, multiple original point cloud information including original spatial coordinates, original reflection intensity, original normal, original texture and original structural features can be collected. Then the above-mentioned original point cloud information is input into the preset road surface feature description model for processing to obtain the initial road surface flatness data and initial road surface settlement data. The road surface feature description model is a mature and complete model built through training, learning and optimization of a large amount of historical road surface feature data and sample road surface feature data.

[0133] According to an embodiment of the present invention, the step of acquiring the pavement attribute classification data of the pavement to be paved and processing the data in combination with the initial pavement feature data to obtain the paving difficulty attribute coefficient of the pavement to be paved includes:

[0134] Obtaining pavement attribute classification data of the pavement to be paved, including pavement type data, pavement structure data, pavement topography data, and pavement function data;

[0135] According to the pavement type data, pavement structure data, pavement topography data and pavement function data, combined with the initial pavement flatness data and the initial pavement settlement data, a paving difficulty attribute coefficient of the pavement to be paved is obtained by calculating and processing through a preset pavement paving difficulty assessment model;

[0136] The calculation formula of the paving difficulty attribute coefficient is:

[0137]

[0138] Among them, r w is the paving difficulty attribute coefficient, z k 、n t 、f p , k j They are pavement type data, pavement structure data, pavement topography data, and pavement function data, respectively. v ,q y They are the initial road surface flatness data and the initial road surface settlement data, η1 and η2 are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset road surface three-dimensional scanning monitoring database).

[0139] It should be noted that different road surfaces have different paving difficulties, which is related to the geographical location, topography, structure, type and function of the road surface to be paved, as well as the initial road surface flatness data and initial road surface settlement data. Therefore, it is necessary to first obtain the pavement attribute classification data of the road surface to be paved, and combine the initial road surface flatness data and initial road surface settlement data into the calculation formula of the acquired pavement paving difficulty assessment model for calculation and processing, so as to obtain the paving difficulty attribute coefficient of the road surface to be paved, so as to ensure a more accurate subsequent paving effectiveness evaluation.

[0140] According to an embodiment of the present invention, the paving compliance evaluation is performed according to the initial road surface characteristic data and the preset road surface paving standard characteristic data to obtain the initial road surface compliance index, including:

[0141] Performing compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data in combination with preset road surface paving standard flatness data and preset road surface paving standard settlement data to obtain an initial road surface compliance index;

[0142] The calculation formula of the initial road surface compliance index is:

[0143]

[0144] Among them, u f is the initial road surface compliance index, b v ,q y are the initial road surface flatness data and initial road surface settlement data, respectively. s , Q x They are respectively the preset road pavement standard flatness data and the preset road pavement standard settlement data, and β1, β2, λ1, λ2 are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road pavement three-dimensional monitoring database).

[0145] It should be noted that in order to evaluate the paving compliance of the initial road surface, it is necessary to conduct a compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data, combined with the acquired road surface paving standard flatness data and road surface paving standard settlement data, to obtain the initial road surface compliance index.

[0146] According to an embodiment of the present invention, the feature picking of the compliant road surface to be paved is performed according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, and the compliant road surface to be paved is paved according to the road surface paving process data to obtain the paved road surface after paving construction, including:

[0147] Processing the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data, and paving density data;

[0148] The paving construction is performed on the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after the paving construction.

[0149] It should be noted that the pavement paving three-dimensional database model is a preset database model that is linked to the core components of scanning sensors such as the total station intelligent robot, three-dimensional scanner, sensor, control box and digital radio. The model for obtaining pavement paving process parameter data is obtained through pavement scanning, point cloud data collection and processing, feature extraction, model construction and continuous training with a large amount of historical and sample data. After obtaining the repaired compliant pavement to be paved, the pavement to be paved is further paved. Therefore, the compliant pavement to be paved is processed according to the acquired preset pavement paving three-dimensional database model to obtain pavement paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data and paving density data, wherein the paving mechanical property data include mechanical property data such as stress distribution, strain, elastic modulus, etc. Then, according to the above-mentioned pavement paving process data, paving construction is carried out on the compliant pavement to be paved to obtain the paved pavement after paving construction.

[0150] According to an embodiment of the present invention, the paving pavement state characteristic data of the paved pavement is obtained according to the preset pavement three-dimensional scanning monitoring platform, and the paving effect is evaluated according to the paving pavement state characteristic data, and the paving effect deviation index and the paving effect compliance index are obtained respectively, including:

[0151] Acquiring paved road surface state characteristic data of the paved road surface according to the preset road surface three-dimensional scanning monitoring platform;

[0152] The paving road surface state characteristic data includes paving concave point distribution area data, paving concave point maximum depth data, paving convex point distribution area data, paving convex point maximum depth data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data;

[0153] According to the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data and the paving convex point maximum depth data, the paving effect deviation degree is evaluated to obtain the paving effect deviation index;

[0154] Performing a paving effect compliance evaluation based on the paving flatness data, paving slope data, paving thickness uniformity data, and paving compaction data to obtain a paving effect compliance index;

[0155] The calculation formula of the paving effect deviation index is:

[0156]

[0157] Among them, p c is the paving effect deviation index, w e 、v t ,y u 、i o They are the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data, and the paving convex point maximum depth data, respectively. α, φ, ρ, τ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road surface three-dimensional scanning monitoring database);

[0158] The calculation formula of the paving effect compliance index is:

[0159]

[0160] Among them, h g is the paving effect compliance index, s d , g l 、e q ,t m They are paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data respectively, and μ, ν, δ, γ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset road surface three-dimensional scanning monitoring database).

[0161] It should be noted that in order to obtain the paving effect evaluation, the paving pavement state characteristic data of the pavement after paving are obtained according to the acquired pavement three-dimensional scanning monitoring platform, including paving pit distribution area data, paving pit maximum data, paving convex point distribution area data, paving convex point maximum data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data, and the paving effect deviation is evaluated based on the above-obtained paving pit distribution area data, paving pit maximum data, paving convex point distribution area data and paving convex point maximum data, to obtain the paving effect deviation index; the paving effect compliance is evaluated based on the above-obtained paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data, to obtain the paving effect compliance index.

[0162] According to an embodiment of the present invention, the paving reliability evaluation is performed based on the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index, including:

[0163] According to the paving effect deviation index and the paving effect compliance index, in combination with the paving difficulty attribute coefficient, a paving reliability assessment is performed through a preset pavement paving reliability assessment model to obtain a paving effectiveness assessment index;

[0164] The calculation formula of the paving effectiveness evaluation index is:

[0165]

[0166] Among them, c x is the paving effect compliance index, p c 、h g 、r w They are the paving effect deviation index, paving effect compliance index, and paving difficulty attribute coefficient, θ, π is the preset characteristic coefficient.

[0167] It should be noted that after obtaining the paving effect evaluation, it is necessary to further obtain a paving reliability evaluation. According to the paving effect deviation index and the paving effect compliance index, combined with the paving difficulty attribute coefficient, the paving reliability evaluation is performed by inputting the calculation formula of the obtained pavement paving reliability evaluation model to obtain the paving effectiveness evaluation index.

[0168] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for processing 3D scanning data of road construction. When the program for processing 3D scanning data of road construction is executed by a processor, the steps of the method for processing 3D scanning data of road construction as described in any one of the above items are implemented.

[0169] The present invention discloses a method, system and medium for processing 3D scanning data of road construction, which obtains initial road feature data by collecting original point cloud information and performing data extraction, and processes the data in combination with the acquired road attribute classification data of the road surface to be paved to obtain the paving difficulty attribute coefficient of the road surface to be paved, and also performs paving compliance evaluation based on the initial road feature data and preset road paving standard feature data to obtain the initial road surface compliance index, and compares the data with the preset road surface compliance threshold, fills and repairs the road surface to be paved that does not meet the threshold requirements to obtain the repaired compliant road surface to be paved, paves the compliant road surface to be paved according to the road paving process data to obtain the paved road surface, and then Obtain paving pavement status characteristic data, evaluate the paving effect separately, obtain the paving effect deviation index and the paving effect compliance index, and evaluate the paving reliability in combination with the paving difficulty attribute coefficient to obtain the paving effectiveness evaluation index, which is compared with the preset paving effectiveness threshold, and perform compensatory construction on the paving pavement whose paving construction effect does not meet the requirements; thereby, information extraction and data processing of pavement paving are performed based on the three-dimensional database and platform, and the paving process and paving quality effectiveness evaluation of the paving pavement are implemented by obtaining the paving effect deviation index and the paving effect compliance index, thereby realizing intelligent pavement paving construction through the data scanning, processing and evaluation technology of the 3D database and platform.

[0170] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0171] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0172] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0173] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0174] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for processing 3D scanning data of road construction, characterized in that: The following steps are involved: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data; Obtaining pavement attribute classification data of the road surface to be paved, and processing it in combination with initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved; Performing a paving compliance evaluation based on the initial pavement characteristic data and the preset pavement paving standard characteristic data to obtain an initial pavement compliance index; Comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved; According to a preset pavement 3D database model, feature picking is performed on the compliant pavement to be paved, and pavement paving process data is obtained; and according to the pavement paving process data, the compliant pavement to be paved is paved to obtain a paved pavement after paving construction; Acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain paving effect deviation indexes and paving effect compliance indexes respectively; According to the paving effect deviation index and the paving effect compliance index, paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index; Comparing the paving effectiveness evaluation index with a preset paving effectiveness threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paved road surface; The obtaining of the pavement attribute classification data of the pavement to be paved and processing the data in combination with the initial pavement characteristic data to obtain the paving difficulty attribute coefficient of the pavement to be paved includes: Obtaining pavement attribute classification data of the pavement to be paved, including pavement type data, pavement structure data, pavement topography data, and pavement function data; According to the pavement type data, pavement structure data, pavement topography data and pavement function data, combined with the initial pavement flatness data and the initial pavement settlement data, a paving difficulty attribute coefficient of the pavement to be paved is obtained by calculating and processing through a preset pavement paving difficulty assessment model; The calculation formula of the paving difficulty attribute coefficient is: ； in, is the paving difficulty attribute coefficient, , , , They are pavement type data, pavement structure data, pavement topography data, and pavement function data. , They are the initial road surface flatness data and the initial road surface settlement data, , , , , , is the preset characteristic coefficient; The performing paving compliance evaluation according to the initial pavement characteristic data and the preset pavement paving standard characteristic data to obtain the initial pavement compliance index includes: Performing compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data in combination with preset road surface paving standard flatness data and preset road surface paving standard settlement data to obtain an initial road surface compliance index; The calculation formula of the initial road surface compliance index is: ； in, is the initial pavement compliance index, , They are the initial road surface flatness data and the initial road surface settlement data, , They are respectively the preset road pavement standard flatness data and the preset road pavement standard settlement data. , , , is the preset characteristic coefficient; The method of obtaining the paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain a paving effect deviation index and a paving effect compliance index, respectively, includes: Acquiring paved road surface state characteristic data of the paved road surface according to the preset road surface three-dimensional scanning monitoring platform; The paving road surface state characteristic data includes paving concave point distribution area data, paving concave point maximum depth data, paving convex point distribution area data, paving convex point maximum depth data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data; According to the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data and the paving convex point maximum depth data, the paving effect deviation degree is evaluated to obtain the paving effect deviation index; Performing a paving effect compliance evaluation based on the paving flatness data, paving slope data, paving thickness uniformity data, and paving compaction data to obtain a paving effect compliance index; The calculation formula of the paving effect deviation index is: ； in, is the paving effect deviation index, , , , They are the distribution area data of paving concave points, the deepest data of paving concave points, the distribution area data of paving convex points, and the highest data of paving convex points. , , , is the preset characteristic coefficient; The calculation formula of the paving effect compliance index is: ； in, is the paving effect compliance index, , , , They are paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data. , , , is the preset characteristic coefficient; The paving reliability evaluation is performed according to the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index, including: According to the paving effect deviation index and the paving effect compliance index, in combination with the paving difficulty attribute coefficient, a paving reliability assessment is performed through a preset pavement paving reliability assessment model to obtain a paving effectiveness assessment index; The calculation formula of the paving effectiveness evaluation index is: ； in, is the paving effect compliance index, , , They are paving effect deviation index, paving effect compliance index, and paving difficulty attribute coefficient. , , is the preset characteristic coefficient.

2. The method for processing 3D scanning data of road construction according to claim 1, characterized in that: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data, including: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information; The original point cloud information is processed by a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

3. The method for processing 3D scanning data of road construction according to claim 2, characterized in that: The method of picking features of the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, and paving the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after paving construction includes: Processing the compliant road surface to be paved according to a preset road surface paving three-dimensional database model to obtain road surface paving process data, including paving material data, paving thickness data, paving structure data, paving mechanical property data, and paving density data; The paving construction is performed on the compliant road surface to be paved according to the road surface paving process data to obtain a paved road surface after the paving construction.

4. A system for processing 3D scanning data of road construction, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a method for processing 3D scanning data of road construction, and when the program of the method for processing 3D scanning data of road construction is executed by the processor, the following steps are implemented: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data; Obtaining pavement attribute classification data of the road surface to be paved, and processing it in combination with initial pavement characteristic data to obtain a paving difficulty attribute coefficient of the road surface to be paved; Performing a paving compliance evaluation based on the initial pavement characteristic data and the preset pavement paving standard characteristic data to obtain an initial pavement compliance index; Comparing the initial road surface compliance index with a preset road surface compliance threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, filling and repairing the road surface to be paved to obtain a repaired compliant road surface to be paved; According to a preset pavement 3D database model, feature picking is performed on the compliant pavement to be paved, and pavement paving process data is obtained; and according to the pavement paving process data, the compliant pavement to be paved is paved to obtain a paved pavement after paving construction; Acquiring paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain paving effect deviation indexes and paving effect compliance indexes respectively; According to the paving effect deviation index and the paving effect compliance index, paving reliability evaluation is performed in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index; Comparing the paving effectiveness evaluation index with a preset paving effectiveness threshold, if the threshold comparison result does not meet the preset threshold comparison requirement, the paving construction effect does not meet the requirement, and compensatory construction is performed on the paved road surface; The obtaining of the pavement attribute classification data of the pavement to be paved and processing the data in combination with the initial pavement characteristic data to obtain the paving difficulty attribute coefficient of the pavement to be paved includes: Obtaining pavement attribute classification data of the pavement to be paved, including pavement type data, pavement structure data, pavement topography data, and pavement function data; According to the pavement type data, pavement structure data, pavement topography data and pavement function data, combined with the initial pavement flatness data and the initial pavement settlement data, a paving difficulty attribute coefficient of the pavement to be paved is obtained by calculating and processing through a preset pavement paving difficulty assessment model; The calculation formula of the paving difficulty attribute coefficient is: ； in, is the paving difficulty attribute coefficient, , , , They are pavement type data, pavement structure data, pavement topography data, and pavement function data. , They are the initial road surface flatness data and the initial road surface settlement data, , , , , , is the preset characteristic coefficient; The performing paving compliance evaluation according to the initial pavement characteristic data and the preset pavement paving standard characteristic data to obtain the initial pavement compliance index includes: Performing compliance evaluation based on the initial road surface flatness data and the initial road surface settlement data in combination with preset road surface paving standard flatness data and preset road surface paving standard settlement data to obtain an initial road surface compliance index; The calculation formula of the initial road surface compliance index is: ； in, is the initial pavement compliance index, , They are the initial road surface flatness data and the initial road surface settlement data, , They are respectively the preset road pavement standard flatness data and the preset road pavement standard settlement data. , , , is the preset characteristic coefficient; The method of obtaining the paving pavement state characteristic data of the paved pavement according to the preset pavement three-dimensional scanning monitoring platform, and performing paving effect evaluations according to the paving pavement state characteristic data to obtain a paving effect deviation index and a paving effect compliance index, respectively, includes: Acquiring paved road surface state characteristic data of the paved road surface according to the preset road surface three-dimensional scanning monitoring platform; The paving road surface state characteristic data includes paving concave point distribution area data, paving concave point maximum depth data, paving convex point distribution area data, paving convex point maximum depth data, paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data; According to the paving concave point distribution area data, the paving concave point maximum depth data, the paving convex point distribution area data and the paving convex point maximum depth data, the paving effect deviation degree is evaluated to obtain the paving effect deviation index; Performing a paving effect compliance evaluation based on the paving flatness data, paving slope data, paving thickness uniformity data, and paving compaction data to obtain a paving effect compliance index; The calculation formula of the paving effect deviation index is: ； in, is the paving effect deviation index, , , , They are the distribution area data of paving concave points, the deepest data of paving concave points, the distribution area data of paving convex points, and the highest data of paving convex points. , , , is the preset characteristic coefficient; The calculation formula of the paving effect compliance index is: ； in, is the paving effect compliance index, , , , They are paving flatness data, paving slope data, paving thickness uniformity data and paving compaction data. , , , is the preset characteristic coefficient; The paving reliability evaluation is performed according to the paving effect deviation index and the paving effect compliance index in combination with the paving difficulty attribute coefficient to obtain a paving effectiveness evaluation index, including: According to the paving effect deviation index and the paving effect compliance index, in combination with the paving difficulty attribute coefficient, a paving reliability assessment is performed through a preset pavement paving reliability assessment model to obtain a paving effectiveness assessment index; The calculation formula of the paving effectiveness evaluation index is: ； in, is the paving effect compliance index, , , They are paving effect deviation index, paving effect compliance index, and paving difficulty attribute coefficient. , , is the preset characteristic coefficient.

5. The system for processing 3D scanning data of road construction according to claim 4, characterized in that: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, and data is extracted from the original point cloud information to obtain initial road surface characteristic data, including initial road surface flatness data and initial road surface settlement data, including: The original point cloud information of the road surface to be paved is collected through a preset road surface three-dimensional scanning monitoring platform, including original spatial coordinate information, original reflection intensity information, original normal information, original texture information and original structural feature information; The original point cloud information is processed by a preset road surface feature description model to obtain initial road surface feature data, including initial road surface flatness data and initial road surface settlement data.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for processing a method for 3D scanning data of a road construction. When the program for processing a method for 3D scanning data of a road construction is executed by a processor, the steps of the method for processing a method for 3D scanning data of a road construction as described in any one of claims 1 to 3 are implemented.

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