CN109753745B - Road detection and evaluation method based on BIM and Internet of things technology - Google Patents
Road detection and evaluation method based on BIM and Internet of things technology Download PDFInfo
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Abstract
The invention provides a road detection and evaluation method based on BIM and Internet of things technology, which comprises the following steps: defining road relevant attributes and assigning values, and establishing a three-dimensional digital information model based on BIM and Markov chain by using a matrix theory; determining a road damage level judgment model based on a predetermined rule; detecting road related parameters through the Internet of things technology, and inputting the related parameters into the three-dimensional digital information model and the road damage level judgment model; and changing different parameters in the information model according to the damage level of the road, inputting the parameters into the three-dimensional digital information model to simulate a road detection result after repair, and performing data acquisition and verification on the road after the repair and management. The method combines the time span of the whole life cycle of the road, embodies the road detection method and the result through a three-dimensional space-time system, is more scientific and richer, and can more clearly know the whole condition of the road according to the level of the damage grade of the road.
Description
Technical Field
The invention relates to the field of road detection, in particular to a road detection and evaluation method based on BIM and Internet of things technology.
Background
With the acceleration of the urbanization process in China, road construction projects are increasing day by day, the mileage of roads is increasing day by day, the road detection is also increasing day by day, and the requirements on the real-time performance and the accuracy of the road detection are correspondingly improved. In recent years, with the progress of science and technology and the development of the technology of the internet of things, a sensor model starts to enter a road detection platform, and a BIM (building information modeling) three-dimensional building information engineering model is also started to be applied to different engineering designs.
At present, a sensor model is used in road detection, for example, road flatness detection of a sensor, i.e., reaction measurement of a vehicle to a road surface is carried out, namely, mechanical response of the vehicle to the change of a longitudinal section of the road surface is measured, and then the measured mechanical response is subjected to mathematical analysis to obtain a flatness index; the method comprises the following steps of (1) carrying out intelligent detection on roadbed compactness, namely accurately measuring compactness, vibration frequency, running speed of a road roller and a road roller region graph, outputting by using a cmv (the cmv is a parameter of an international compactness evaluation standard, and can be conveniently displayed as any evaluation parameter of user habits through coefficient fitting), and meanwhile, using the method as a foundation compactness detector ICCC of an automatic and intelligent terminal platform of the road roller; the deflection value detection adopts a heavy hammer with standard mass to impact the road surface, the sensor can record the instantaneously generated modification of the road surface under the action of load, so as to realize the measurement and the recording of the deflection value of the road surface, the operation process is strictly controlled automatically by a computer, and the measurement of the deflection value of the road by the technology is ensured, and certain dynamic elasticity and accuracy are realized. However, the detection of the current sensor model on data has two disadvantages, one is that the measured data generally comes from the time when a road construction project is just finished, is limited by economic factors, has less detection data of the whole life cycle of the road and is more used for measuring whether the road construction project is qualified or not; secondly, the existing finished results of the road construction project are limited, more detection can only be performed to judge the final result, but different factors causing differentiation are difficult to analyze specifically, for example, if the thicknesses of materials with different grades are slightly changed, the detection results such as compactness and the like are greatly influenced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a road detection and evaluation method based on BIM and Internet of things technology, which combines the time span of the whole life cycle of a road, embodies the road detection method and the results through a three-dimensional space-time system, is more scientific and richer, and can more clearly understand the whole condition of the road according to the level of the road damage.
In order to achieve the purpose, the invention provides a road detection and evaluation method based on BIM and Internet of things technology, which comprises the following steps:
s1: defining road relevant attributes and assigning, and establishing a three-dimensional digital information model based on BIM and Markov chain by using a matrix theory;
s2: determining a road damage level judgment model based on a predetermined rule;
s3: detecting road related parameters through the Internet of things technology, and inputting the related parameters into the three-dimensional digital information model and the road damage level judgment model; analyzing the detected related parameters according to the three-dimensional digital information model, and presenting a road detection result; processing the detected data based on the road damage level judgment model to judge the damage level of the road;
s4: and changing different parameters in the information model according to the damage level of the road, inputting the parameters into the three-dimensional digital information model to simulate a road detection result after repair, determining an optimal road maintenance and prevention treatment scheme, and performing data acquisition and verification on the road after maintenance and treatment again.
Preferably, the defining and assigning of the road-related attribute in step S1 includes: and defining and assigning attributes such as the specifications of the flat curbstone, the height of the curbstone, the road arch, the gradient type and the like.
Preferably, the step S3 of detecting the road-related parameter through the internet of things technology includes: the roadbed compactness, flatness and deflection values are detected through different types of sensors.
Preferably, the determining the road damage level judgment model based on the predetermined rule in step S2 includes: and establishing a judgment function about three variables of roadbed compactness, flatness and deflection value, and setting a function value interval corresponding to each road damage level.
Preferably, the step S3 is to process the detected data based on a road damage level determination model, and determining the damage level of the road includes: and substituting the three detected variable values of the roadbed compactness, the flatness and the deflection value into a judgment function to calculate a function value, and judging the road damage level according to the section where the function value is located.
The road detection and evaluation method based on the BIM and the Internet of things technology combines the time span of the whole life cycle of the road, embodies the road detection method and the result through a three-dimensional space-time system, is more scientific and richer, and can clearly understand the whole condition of the road according to the level of the road damage.
The features and advantages of the present invention will become apparent by reference to the following drawings and detailed description of specific embodiments of the invention.
Drawings
FIG. 1 is a schematic illustration of BIM-based road detection of the present invention;
FIG. 2 is a schematic illustration of BIM-based roadway corridor detection according to the present invention;
FIG. 3 is a schematic diagram of the intelligent detection of the sensor of the present invention;
FIG. 4 is a schematic flow chart of a road detection and evaluation method according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention clearer and clearer, the following detailed description is made with reference to the accompanying drawings, and it should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.
The life cycle detection of the whole process of the road considers the influence of road use in the life cycle and the relation of attributes such as vehicle running and the like from the initial stage of road design so as to achieve the optimal road use performance and running experience, the life cycle detection of the whole process can generate a large amount of data and information which are stored in a database of the Internet of things, the data can be ensured to be consistent and shared by scientific data management, and the BIM can build a three-dimensional information engineering model by utilizing and analyzing the data most effectively to form a complete life cycle detection method of the whole process of the road.
As shown in fig. 1 and 2, the BIM can comprehensively display the comprehensive information such as the structure and the hierarchy of the road by using a three-dimensional digital information model, can comprehensively build customized parameters by using the performance and the advantages of the BIM technology, can simplify the parameters by using the BIM technology even if the parameters are complicated, and can describe the traffic construction engineering of each building road in detail. FIG. 1 shows a schematic diagram of the detection result of a certain town road based on BIM. Fig. 2 shows a diagram of a corridor detection, which can analyze the information about the composition of the roadbed and the pavement layer structure.
The BIM three-dimensional model shown in the figure 1 and the figure 2 is used for obtaining the most comprehensive road element information, carrying out multi-dimensional cross analysis on multiple elements, establishing a Markov chain space-time model by using a matrix theory method, inputting data into an intelligent detection system, and assisting with intelligent road detection simulation of a sensor model to obtain the service life detection data of the whole road process.
Fig. 3 shows a sensor smart detection schematic. Wherein the different types of sensors include a road-based compaction sensor, a flatness sensor, and a deflection value sensor, and the contents detected by the different types of sensors are shown in tables 1-3 below.
Table 1: roadbed compactness sensor model detection meter
Table 2: flatness sensor model detection meter
Table 3: deflection value sensor model detection meter
FIG. 4 is a flow chart of a road detection and evaluation method according to the present invention. The road detection and evaluation method based on the BIM and the Internet of things technology provided by the embodiment comprises the following steps:
s1: defining road relevant attributes and assigning values, and establishing a three-dimensional digital information model based on BIM and Markov chain by using a matrix theory.
In this step, defining and assigning road-related attributes includes: and defining and assigning attributes such as the specifications of the flat curbstone, the height of the curbstone, the road arch, the gradient type and the like. The BIM and the Markov chain model are common models in the building field, and engineering technicians can establish a three-dimensional digital information model based on the BIM and the Markov chain by adopting the existing technical means, and the specific process is not repeated here.
S2: a road damage level judgment model is determined based on a predetermined rule.
In this step, determining a road damage level judgment model based on a predetermined rule includes: and establishing a judgment function about three variables of roadbed compactness, flatness and deflection value, and setting a function value interval corresponding to each road damage grade. For example, the following judgment function is established:
f (x) = (a (roadbed compactness) + B (flatness) + C (deflection value)) × D (road type value), where a, B, C, and D are weighting coefficients, a + B + C =1, and the road type value is a value set according to a road type, and different road type values are set for the express way/main road, the sub-main road, the branch road, and the minor road, respectively.
The section corresponding to each road damage level is set, which may be specifically shown in the following table:
| grade of road damage | Interval of function value |
| Class 1 | [a，b] |
| Class 2 | [c，d] |
| Class 3 | [e，f] |
| …… | …… |
For example, when the value of the determination function F (x) falls within the section [ a, b ], the road damage level is 1 level, when the value of F (x) falls within the section [ c, d ], the road damage level is 2 level, and so on, the damage levels to which different roads belong can be determined.
It should be understood that the above-mentioned setting of the judgment function F (x) is only an example, and an engineer in the field may design different types of functions according to the requirement according to actual experience, and the severity of the damage level may also be determined according to different types of function values, for example, the deflection value is set as the difference between the detected value and the standard value, and the invention does not limit this.
S3: detecting road related parameters through the Internet of things technology, and inputting the related parameters into the three-dimensional digital information model and the road damage level judgment model; analyzing the detected related parameters according to the three-dimensional digital information model, and presenting the detection result of the road; processing the detected data based on the road damage level judgment model to judge the damage level of the road;
detecting the road relevant parameters through the internet of things technology in the step comprises the following steps: the roadbed compactness, flatness and deflection values are detected through different types of sensors. Processing the detected data based on a road damage level judgment model, wherein judging the damage level of the road comprises: substituting the detected three variable values of the roadbed compactness, the flatness and the deflection value into a judgment function to calculate function values of roads of different road types, and judging the road damage level according to the section where the function values are located. For example, as shown in step S2, when the value of the determination function F (x) falls within the section [ a, b ], the road damage level is 1 level, when the value of F (x) falls within the section [ c, d ], the road damage level is 2 level, and so on, the damage levels to which different roads belong can be determined.
S4: and different parameters in the information model are changed according to the damage level of the road, then the parameters are input into the three-dimensional digital information model to simulate a road detection result after repair, an optimal road maintenance and prevention and treatment scheme is determined, and data acquisition and verification are carried out on the road after maintenance and treatment again.
In this step, since the damage level of the road is determined by the section to which the function value belongs, the engineering technician can determine the degree of change of a certain parameter according to the damage level of the road, that is, can determine whether the certain parameter needs to be changed greatly or only needs to be changed in a smaller range. And then inputting the changed different parameters into the three-dimensional digital information model again, simulating a road detection result after repair, and determining an optimal road maintenance and prevention treatment scheme. After the road is maintained, data acquisition and verification can be carried out on the road after maintenance and treatment again, so that the whole life cycle of the whole process of the road is completely detected, the road maintenance system is more scientific in practicability, and reasonable preventive treatment measures can be effectively taken for natural conditions such as road damage.
The road detection and evaluation method based on the BIM and the Internet of things technology combines the time span of the whole life cycle of the road, embodies the road detection method and the result through a three-dimensional space-time system, is more scientific and richer, and can clearly understand the whole condition of the road according to the level of the road damage.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (3)
1. A road detection and evaluation method based on BIM and Internet of things technology is characterized by comprising the following steps:
s1: defining road relevant attributes and assigning values, and establishing a three-dimensional digital information model based on BIM and Markov chain by using a matrix theory;
s2: determining a road damage level judgment model based on a predetermined rule;
s3: detecting road related parameters through the Internet of things technology, and inputting the related parameters into the three-dimensional digital information model and the road damage level judgment model; analyzing the detected related parameters according to the three-dimensional digital information model, and presenting a road detection result; processing the detected data based on the road damage level judgment model to judge the damage level of the road;
s4: changing different parameters in the information model according to the damage level of the road, inputting the parameters into the three-dimensional digital information model to simulate a road detection result after repair, determining an optimal road maintenance and prevention treatment scheme, and performing data acquisition and verification on the road after maintenance and treatment again;
the determining the road damage level judgment model based on the predetermined rule in the step S2 includes: establishing a judgment function about three variables of roadbed compactness, flatness and deflection value, and setting a function value interval corresponding to each road damage level;
the judgment function is as follows:
f (x) = (a (roadbed compactedness) + B (flatness) + C (deflection value)) × D (road type value), where a, B, C, D are weighting coefficients, a + B + C =1, and the road type value is a value set according to the road type;
in the step S3, the detected data is processed based on the road damage level determination model, and determining the damage level of the road includes: substituting the detected three variable values of the roadbed compactness, the flatness and the deflection value into a judgment function to calculate function values of roads of different road types, and judging the road damage level according to the section where the function values are located.
2. The BIM and IOT technology-based road detection and assessment method according to claim 1, wherein the defining and assigning road-related attributes in step S1 comprises: and defining and assigning the specifications of the flat curbstones, the heights of the curbstones, the road arches and the gradient types.
3. The BIM and IOT technology based road detection and assessment method according to claim 1, wherein the step S3 of detecting the road related parameters through IOT technology comprises: the roadbed compactness, flatness and deflection values are detected through different types of sensors.
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| CN114282298B (en) * | 2021-12-28 | 2022-11-22 | 长安大学 | Road technical condition processing method |
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