Visual management method and system for roadbed compaction condition and roadbed compaction equipment

Abstract

The invention provides a roadbed compaction condition visual management method and system and roadbed compaction equipment, and belongs to the technical field of pavement construction management.The method comprises the steps that S1, a compaction path is obtained and divided into different compaction areas; s2, in the roadbed compaction process, compaction position information of a compaction area is obtained in real time, and a hash code corresponding to the compaction area is generated according to the compaction position information; s3, comparing the Hash code generated in the nth compaction process with all Hash codes generated before the nth compaction process, and determining compaction times based on a comparison result; and S4, establishing a roadbed compaction model, and uploading the compaction position information and the compaction times to the roadbed compaction model in real time for visual display. According to the method, the compaction times and the compaction positions are associated by using the Hash codes, and the compaction times of the compaction area are visually displayed through the compaction model, so that the roadbed compaction condition is visually managed.

Description

Technical Field

[0001] The present invention belongs to the technical field of road construction management, and relates to a visualized pipeline technology for roadbed compaction, and specifically to a visualized management method and system for roadbed compaction, and roadbed compaction equipment. Background Art

[0002] During the construction of expressways, the roadbed needs to be compacted in sections by rollers. The rollers apply pressure to the soil through their heavy wheels to ensure the uniformity and stability of the roadbed and prevent settlement, cracks or depressions that may occur in the future. Therefore, the results of roadbed compaction directly affect the quality of the road surface. If there is leakage or under-compression during the roadbed compaction process, the roadbed will be insufficiently compacted, resulting in a decrease in the bearing capacity of the roadbed, thereby increasing the risk of problems during the use of the expressway; if there is over-compression during the roadbed compaction process, the pressure of the roadbed will exceed the optimal compaction density of the soil, resulting in a waste of construction resources. Therefore, it is very important to conduct real-time detection during the roadbed compaction process to determine whether there are any abnormalities in the compaction process.

[0003] In the prior art, the compaction condition of the roadbed is generally determined based on the number of compaction times and the compaction position of the roadbed. However, there is currently a lack of effective management methods for the compaction condition of the roadbed. Construction personnel are unable to determine the current compaction times and compaction position of the roller in real time, resulting in under- or over-pressure in local areas during the roadbed compaction process. Summary of the invention

[0004] In view of the technical problem described in the above background technology, there is a lack of effective management of the compaction of the roadbed during the roadbed compaction process. The construction personnel are unable to determine the current compaction times and compaction positions of the roadbed in real time, resulting in under-pressure or over-pressure in local areas during the roadbed compaction process. In view of this technical problem, the present invention proposes a method, system and roadbed compaction equipment for visual management of the roadbed compaction situation.

[0005] The present invention utilizes hash coding to achieve the association between the compaction times and the compaction positions, determines the compaction times by the compaction positions, uploads the compaction position information and the compaction times of each compaction area to the roadbed compaction model in real time, and visualizes the compaction times of the compaction areas by the roadbed compaction model, so that construction personnel can supplement the compaction at the under-compacted positions according to the displayed roadbed compaction conditions, and avoid local over-compaction at the same time, thereby realizing the visualized management of the roadbed compaction conditions, improving the management quality during the roadbed compaction process, and preventing under-compaction or over-compaction in local areas during the roadbed compaction process.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a method for visual management of roadbed compaction conditions, comprising the following steps: S1: Obtain a compaction path and divide the compaction path into different compaction areas; S2: During the roadbed compaction process, the compaction position information of the compaction area is obtained in real time, and a hash code corresponding to the compaction area is generated according to the compaction position information; S3: Compare the hash code generated during the nth compaction process with all hash codes generated before the nth compaction process, and determine the number of compactions based on the comparison result; where n is a positive integer greater than or equal to 2; S4: Establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to achieve visualization of the roadbed compaction situation.

[0007] It is further defined that in step S3, determining the number of compaction times based on the comparison result specifically includes: if the comparison result is that the similarity of the hash code exceeds the set threshold, the number of compaction times of the compaction area corresponding to the hash code is increased by 1; otherwise, the hash code is the first compaction of the new compaction area.

[0008] It is further defined that the establishing of the roadbed compaction model specifically includes: drawing a cube in the Cesium platform according to the compaction area, each compaction area represents a cube, and establishing the roadbed compaction model; The visual display of the compaction times of the compaction area by the roadbed compaction model specifically includes: Synchronize the compaction location information and compaction times of each compaction area with the corresponding cube; According to the compaction times of each compaction area, identification information is set for the corresponding cube, and visualization is performed according to the identification information.

[0009] It is further defined that the visual display based on the identification information specifically includes: If the compaction times of the compacted area is less than 10, the identification information of the cube will be displayed in blue; If 10≤the number of compaction times of the compacted area<20, the identification information of the cube is displayed in green; If the compaction times of the compacted area is ≥20, the identification information of the cube will be displayed in red; The compaction condition of the roadbed is determined by the color of each cube on the roadbed compaction model, where blue indicates under-compaction, green indicates qualified compaction, and red indicates over-compaction.

[0010] It is further defined that the establishing of the roadbed compaction model further comprises: Collect oblique photography data of the compacted road surface and its surroundings and upload it to the Cesium platform; The Cesium platform recognizes the oblique photography data and loads the oblique photography data into the roadbed compaction model to achieve the fusion of the compaction path and the surrounding environment of the compacted road surface and generate a panoramic model map.

[0011] It is further defined that the compaction position information includes longitude, latitude, elevation and azimuth, wherein the center position of the cube is determined by the longitude, latitude and elevation of the corresponding compaction area; the azimuth of the cube is determined by the azimuth of the corresponding compaction area; and the length and width of the cube both match the peripheral dimensions of the compaction equipment.

[0012] It is further defined that in step S2, the hash code of the compacted area is generated based on a geographic coding system.

[0013] It is further defined that in step S3, the calculation formula of the similarity of the hash code is: In the formula, It refers to the similarity of hash codes and is dimensionless; It refers to the number of bits in the prefix of the hash code generated during the nth compaction process that is the same as the hash code being compared, unit: bit; Refers to the total number of bits in the hash code, unit: bit.

[0014] The present invention provides a roadbed compaction situation visualization management system, which is applied to the above-mentioned roadbed compaction situation visualization management method, and comprises: Compaction area division module: used to obtain the compaction path of the compaction equipment and divide the compaction path into different compaction areas; Coding module: used to obtain the compaction position information of the compaction area in real time during the roadbed compaction process, and generate the hash code of the corresponding compaction area according to the compaction position information; A compaction times determination module: used to compare the hash code generated during the nth compaction process with all the hash codes generated before the nth compaction process, and determine the compaction times based on the comparison result; wherein n is a positive integer greater than or equal to 2; And the display module: used to establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to realize the visualization of the roadbed compaction situation.

[0015] The present invention provides a roadbed compaction device, comprising a processor and a memory coupled to each other, wherein: The memory is used to store program instructions for implementing the above-mentioned roadbed compaction situation visualization management method; The processor is used to execute program instructions stored in the memory.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. A method for visual management of roadbed compaction conditions of the present invention utilizes hash coding to associate the number of compaction times with the compaction position, determines the number of compaction times by the compaction position, and uploads the compaction position information and the number of compaction times of each compaction area to the roadbed compaction model in real time. The compaction times of the compaction area are visualized by the roadbed compaction model, so that construction personnel can supplement the compaction of the under-compacted position according to the displayed roadbed compaction conditions, and avoid local over-compaction at the same time, thereby realizing visual management of the roadbed compaction conditions, improving the management quality during the roadbed compaction process, and preventing under-compaction or over-compaction in local areas during the roadbed compaction process.

[0017] 2. In the present invention, hash coding is used to simplify the data, which reduces the amount of data calculation on the one hand, and on the other hand, the data can be directly uploaded to the Cesium platform, improving the data display performance.

[0018] 3. In the present invention, it also collects oblique photography data of the compacted road surface surrounding environment, uses the Cesium platform to identify the oblique photography data, and integrates the compaction path with the compacted road surface surrounding environment in the Cesium platform to generate a panoramic model map, which can better show the roadbed compaction situation and the surrounding environment of the construction to the construction personnel and improve the display effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of a method for visualizing the management of roadbed compaction conditions according to the present invention; Figure 2 A schematic diagram of a roadbed compaction visualization management system according to the present invention; Figure 3 It is the roadbed compaction model 1; Figure 4 This is the roadbed compaction model 2; Figure 5 For panoramic models Figure 1 ; Figure 6 For panoramic models Figure 2 . DETAILED DESCRIPTION

[0020] The technical solution of the present invention is further explained below in conjunction with the accompanying drawings and embodiments, but the present invention is not limited to the implementation modes described below.

[0021] See also Figure 1 The present invention provides a method for visual management of roadbed compaction conditions, comprising the following steps: S1: Obtain the compaction path and divide the compaction path into different compaction areas; specifically, before carrying out the roadbed compaction construction, obtain the compaction path of the roadbed compaction equipment, and divide the compaction path according to the size of the roadbed compaction equipment, and divide it into multiple different compaction areas, and the length and width of the compaction area are the same as the length and width of the roadbed compaction equipment; at the same time, install position sensors and communication equipment on the roadbed compaction equipment, and obtain the compaction position information of the roadbed compaction equipment in the construction process in real time through the position sensor, and send the acquired compaction position information to other data processing equipment in real time through the communication equipment during the construction process, such as: the following Cesium platform, preferably, the compaction position information is updated and sent at a frequency of 1 second / time. Generally speaking, for those skilled in the art, the roadbed compaction equipment is a road roller.

[0022] S2: During the process of roadbed compaction, the compaction position information of the compaction area is obtained in real time, and a hash code of the corresponding compaction area is generated according to the compaction position information; specifically, the compaction position information refers to the compaction position information of the roadbed compaction equipment, which includes longitude, latitude, elevation and direction angle; the hash code of the compaction area is generated based on the geographic coding system (geohash coding system).

[0023] S3: Compare the hash code generated during the nth compaction process with all hash codes generated before the nth time, where n is a positive integer greater than or equal to 2; specifically, the initial compaction times for each compaction area are 0; if the comparison result is that the similarity of the hash codes exceeds the set threshold, the compaction times of the compaction area corresponding to the hash code are increased by 1; otherwise, the hash code is generated for the compaction position information corresponding to the new compaction area, which is the first compaction of the new compaction area.

[0024] The calculation formula of the hash code similarity is: In the formula, It refers to the similarity of hash codes and is dimensionless; It refers to the number of bits in the prefix of the hash code generated during the nth compaction process that is the same as the hash code being compared, unit: bit; Refers to the total number of bits of the hash code, unit: bit. The number of bits with the same prefix refers to the number of bits with the same prefix of the hash code.

[0025] S4: Establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to achieve visualization of the roadbed compaction situation.

[0026] The number of bits of the hash code is closely related to the size and accuracy of the geographic range it represents. The lower the number of bits, the larger the coverage and the lower the accuracy; the higher the number of bits, the smaller the coverage and the higher the accuracy.

[0027] In hash codes, each additional bit roughly doubles the accuracy of the coverage. For example, a 9-bit hash code has an accuracy error of about 4 meters, while a 10-bit hash code reduces the accuracy error to about 0.6 meters.

[0028] A key feature of hash coding is strings with common prefixes. These strings with common prefixes can represent the degree of geographical proximity. Using this feature, nearby points can be searched effectively. For example, if the first 9 hash codes of two codes are the same, it means that the distance difference between the two locations is within 4 meters.

[0029] The present invention utilizes hash coding to associate the compaction times with the compaction positions, determines the compaction times by the compaction positions, uploads the compaction position information and the compaction times of each compaction area to the roadbed compaction model in real time, and visualizes the compaction times of the compaction areas by the roadbed compaction model, so as to facilitate construction personnel to supplement the compaction at the under-compacted positions according to the displayed roadbed compaction conditions, and avoid local over-compaction, thereby realizing visualized management of the roadbed compaction conditions, improving the management quality during the roadbed compaction process, and preventing under-compaction or over-compaction in local areas during the roadbed compaction process.

[0030] In the present invention, establishing the roadbed compaction model specifically includes: Draw a cube in the Cesium platform according to the compaction area, each compaction area represents a cube, and establish a roadbed compaction model; specifically, the center position of the cube is determined by the longitude, latitude and elevation of the corresponding compaction area; the direction angle of the cube is determined by the direction angle of the corresponding compaction area; the length and width of the cube match the outer peripheral size of the compaction equipment, and the length and width of the cube can be the same as the outer peripheral size of the compaction equipment, or the outer peripheral size of the compaction equipment is proportionally reduced. Each time step S2 and step S3 are repeated, the compaction position information and compaction times of each compaction area are uploaded to the Cesium platform in real time, and data is synchronized with the corresponding cube; preferably, the frequency of real-time uploading of the compaction position information and compaction times is 1 second / time. Set identification information for the corresponding cube according to the compaction times of each compaction area, determine the compaction quality of the roadbed according to the identification information of each cube on the roadbed compaction model, and update and display the compaction working condition of the roadbed compaction equipment in real time.

[0031] See also Figure 3 and Figure 4 , the visual display based on the identification information specifically includes: If the compaction times of the compacted area is less than 10, the identification information of the cube will be displayed in blue; If 10≤the number of compaction times of the compacted area<20, the identification information of the cube is displayed in green; If the compaction times of the compacted area is ≥20, the identification information of the cube will be displayed in red; If the compaction times of the compacted area is 0, the identification information of the cube is displayed in gray; The compaction quality of the roadbed is determined by the color of each cube on the roadbed compaction model, where blue indicates under-compaction, green indicates qualified compaction (within a reasonable range of compaction times), and red indicates over-compaction.

[0032] The present invention uses hash coding to simplify data, which on the one hand reduces the amount of data calculation, and on the other hand the data can be directly uploaded to the Cesium platform, improving the data display performance; at the same time, the Cesium platform is used to establish a roadbed compaction model to visualize the compaction condition of the roadbed, thereby improving the construction management quality of the roadbed compaction condition.

[0033] See also Figure 5 and Figure 6 , Establishing the roadbed compaction model also includes: using drones to collect oblique photography data of the compacted road surface environment and uploading it to the Cesium platform; the Cesium platform recognizes the oblique photography data and loads the oblique photography data into the roadbed compaction model to present a three-dimensional model of the construction area, realizing the fusion of the compaction path and the compacted road surface environment, generating a panoramic model map, and being able to integrate the roadbed compaction conditions with the actual three-dimensional oblique photography model of the construction area for display, which is more intuitive and improves the display effect.

[0034] The present invention utilizes the Cesium platform to identify oblique photography data, integrates the compaction path with the compacted road surface surrounding environment in the Cesium platform, and generates a panoramic model map, which can better show the roadbed compaction situation and the surrounding environment of the construction to construction personnel, accurately locate the under-compacted area of ​​the roadbed, facilitate more accurate recompaction of the under-compacted area of ​​the roadbed, improve the quality of construction management, and save construction costs.

[0035] See also Figure 2 The present invention also provides a roadbed compaction situation visualization management system, which is applied to the above-mentioned roadbed compaction situation visualization management method, including: Compaction area division module: used to obtain the compaction path of the compaction equipment and divide the compaction path into different compaction areas; Coding module: used to obtain the compaction position information of the compaction area in real time during the roadbed compaction process, and generate the hash code of the corresponding compaction area according to the compaction position information; Compaction times determination module: used to compare the hash code generated during the nth compaction process with all the hash codes generated before the nth time, where n is a positive integer greater than or equal to 2; if the comparison result is that the similarity of the hash code exceeds the set threshold, the compaction times of the compaction area corresponding to the hash code increases by 1; otherwise, the hash code is the first compaction of the new compaction area; And the display module: used to establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to realize the visualization of the roadbed compaction situation.

[0036] A visual management system for roadbed compaction conditions of the present invention is exactly the same as a visual management method for roadbed compaction conditions. For the specific contents of the compaction area division module, encoding module, compaction times determination module and display module, please refer to the description of the above-mentioned visual management method for roadbed compaction conditions.

[0037] The present invention also provides a roadbed compaction device, including a processor and a memory coupled to each other, wherein the memory is used to store program instructions for implementing the above-mentioned roadbed compaction situation visualization management method; the processor is used to execute the program instructions stored in the memory.

[0038] The memory may be a random access memory (RAM), a memory, a read-only memory (ROM), a programmable ROM, an erasable programmable ROM, a register, a hard disk, a removable disk or a CD-ROM. It should be noted that those skilled in the art may select the form and type of the storage medium according to actual use requirements, and the present invention does not make further specific limitations.

[0039] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some or all of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the present invention.

Claims

1. A method for visual management of roadbed compaction, characterized in that: The following steps are involved: S1: Obtain a compaction path and divide the compaction path into different compaction areas; S2: During the roadbed compaction process, the compaction position information of the compaction area is obtained in real time, and a hash code corresponding to the compaction area is generated according to the compaction position information; S3: Compare the hash code generated during the nth compaction process with all hash codes generated before the nth compaction process, and determine the number of compactions based on the comparison result; where n is a positive integer greater than or equal to 2; S4: Establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to achieve visualization of the roadbed compaction situation.

2. The method for visual management of roadbed compaction according to claim 1, characterized in that: In step S3, determining the compaction times based on the comparison result specifically includes: if the comparison result is that the similarity of the hash code exceeds the set threshold, the compaction times of the compaction area corresponding to the hash code are increased by 1; otherwise, the hash code is the first compaction of the new compaction area.

3. The method for visual management of roadbed compaction according to claim 1, characterized in that: The establishment of the roadbed compaction model specifically includes: drawing a cube in the Cesium platform according to the compaction area, each compaction area represents a cube, and establishing the roadbed compaction model; The visual display of the compaction times of the compaction area by the roadbed compaction model specifically includes: Synchronize the compaction location information and compaction times of each compaction area with the corresponding cube; According to the compaction times of each compaction area, identification information is set for the corresponding cube, and visualization is performed according to the identification information.

4. The method for visual management of roadbed compaction according to claim 3, characterized in that: The visual display based on the identification information specifically includes: If the compaction times of the compacted area is less than 10, the identification information of the cube is displayed in blue; If 10≤the number of compaction times of the compacted area<20, the identification information of the cube is displayed in green; If the compaction times of the compacted area is ≥20, the identification information of the cube will be displayed in red; The compaction condition of the roadbed is determined by the color of each cube on the roadbed compaction model, where blue indicates under-compaction, green indicates qualified compaction, and red indicates over-compaction.

5. The method for visual management of roadbed compaction according to claim 3, characterized in that: The establishment of the roadbed compaction model also includes: Collect oblique photography data of the compacted road surface and its surroundings and upload it to the Cesium platform; The Cesium platform recognizes the oblique photography data and loads the oblique photography data into the roadbed compaction model to achieve the fusion of the compaction path and the surrounding environment of the compacted road surface and generate a panoramic model map.

6. The method for visual management of roadbed compaction according to claim 3, characterized in that: The compaction position information includes longitude, latitude, elevation and azimuth, wherein the center position of the cube is determined by the longitude, latitude and elevation of the corresponding compaction area; the azimuth of the cube is determined by the azimuth of the corresponding compaction area; and the length and width of the cube both match the peripheral dimensions of the compaction equipment.

7. The method for visual management of roadbed compaction according to claim 1, characterized in that: In step S2, the hash code of the compacted area is generated based on a geographic coding system.

8. The method for visual management of roadbed compaction according to claim 2, characterized in that: In step S3, the calculation formula of the hash code similarity is: In the formula, It refers to the similarity of hash codes and is dimensionless; It refers to the number of bits in the prefix of the hash code generated during the nth compaction process that is the same as the hash code being compared, unit: bit; Refers to the total number of bits in the hash code, unit: bit.

9. A visual management system for roadbed compaction conditions, applied to the visual management method for roadbed compaction conditions according to claim 1, characterized in that: include: Compaction area division module: used to obtain the compaction path of the compaction equipment and divide the compaction path into different compaction areas; Coding module: used to obtain the compaction position information of the compaction area in real time during the roadbed compaction process, and generate the hash code of the corresponding compaction area according to the compaction position information; A compaction times determination module: used to compare the hash code generated during the nth compaction process with all the hash codes generated before the nth compaction process, and determine the compaction times based on the comparison result; wherein n is a positive integer greater than or equal to 2; And the display module: used to establish a roadbed compaction model, upload the compaction position information and compaction times of each compaction area to the roadbed compaction model in real time, and visualize the compaction times of the compaction area through the roadbed compaction model to realize the visualization of the roadbed compaction situation.

10. A roadbed compaction device, characterized in that: The invention comprises a processor and a memory coupled to each other, wherein: The memory is used to store program instructions for implementing the method for visual management of roadbed compaction conditions according to any one of claims 1 to 8; The processor is used to execute program instructions stored in the memory.

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