CN115330952B - BIM-based road compaction synchronous monitoring and feedback control system - Google Patents
BIM-based road compaction synchronous monitoring and feedback control system Download PDFInfo
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- CN115330952B CN115330952B CN202211054412.4A CN202211054412A CN115330952B CN 115330952 B CN115330952 B CN 115330952B CN 202211054412 A CN202211054412 A CN 202211054412A CN 115330952 B CN115330952 B CN 115330952B
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Abstract
The invention belongs to the field of road engineering, relates to a data analysis technology, and is used for solving the problem that the prior road compaction synchronous monitoring and feedback control system cannot optimize subsequent mechanical operation parameters through compaction detection data every time, in particular to a road compaction synchronous monitoring and feedback control system based on BIM (building information modeling), which comprises a monitoring feedback platform, wherein the monitoring feedback platform is in communication connection with a compaction detection module, a moisture analysis module, an operation analysis module and a storage module; the compaction detection module is used for detecting and analyzing the compaction state of the road; according to the road compaction monitoring system, the compaction state of the road can be detected and analyzed through the compaction detection module, the compaction effect is monitored through various parameters of road compaction, further, the feedback is timely carried out when the compaction effect is abnormal, meanwhile, the whole road compaction effect is monitored through a road section dividing mode, and further, the whole effect of road compaction can meet the requirement.
Description
Technical Field
The invention belongs to the field of road engineering, relates to a data analysis technology, and particularly relates to a BIM-based road compaction synchronous monitoring and feedback control system.
Background
When a railway or highway embankment is constructed, earth must be filled in layers, and compaction is carried out in layers to achieve enough compactness, so that the stability and the firmness of the embankment are improved, the stable running of vehicles is ensured, and the operation condition is prevented from being deteriorated due to long-term settlement.
The existing road compaction synchronous monitoring and feedback control system generally monitors the compaction effect through various data in the compaction process through compaction detection, but cannot optimize subsequent mechanical operation parameters through the compaction detection data every time, and further causes the problem that the compaction effect cannot be improved by adopting fixed mechanical operation parameters.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a BIM-based road compaction synchronous monitoring and feedback control system, which is used for solving the problem that the conventional road compaction synchronous monitoring and feedback control system cannot optimize subsequent mechanical operation parameters through compaction detection data each time;
the technical problems to be solved by the invention are as follows: how to provide a road compaction synchronous monitoring and feedback control system which can optimize subsequent machine operation parameters through compaction detection data of each time.
The purpose of the invention can be realized by the following technical scheme:
a road compaction synchronous monitoring and feedback control system based on BIM comprises a monitoring feedback platform, wherein the monitoring feedback platform is in communication connection with a compaction detection module, a moisture analysis module, an operation analysis module and a storage module;
the compaction detection module is used for detecting and analyzing the road compaction state: dividing the compacted road into detection road sections i, i =1,2, \8230, wherein n, n is a positive integer, acquiring compacted data YSi, compression resistance data KYi and leveling data PZi of the detection road sections i, carrying out numerical calculation to obtain detection coefficients JCi of the detection road sections i, and marking the detection road sections as normal road sections or abnormal road sections according to the numerical values of the detection coefficients JCi; acquiring the number of abnormal road sections, marking the number as m, marking the ratio of m to n as an abnormal ratio, acquiring an abnormal threshold value through a storage module, comparing the abnormal ratio with the abnormal threshold value, and judging whether the road compaction state meets the requirement or not through a comparison result;
the moisture analysis module is used for detecting and analyzing the moisture content of the compacted road, acquiring a standard speed range and sending the standard speed range to the monitoring feedback platform;
the operation analysis module is used for carrying out vibration monitoring analysis on the vibratory roller compacted on the road, obtaining vibration data and sending the vibration data to the monitoring feedback platform.
In a preferred embodiment of the present invention, the compaction data YSi is the road surface compaction degree of the detected road section i, the compression-resistant data KYi is the 7d compression-resistant strength value of the detected road section i, and the leveling data PZi is the road surface leveling degree of the detected road section i.
As a preferred embodiment of the present invention, the process of marking the detected section as a normal section or an abnormal section includes: acquiring a detection threshold JCmin through a storage module, and comparing a detection coefficient JCi of a detected road section i with the detection threshold JCmin: if the detection coefficient JCi is smaller than the detection threshold value JCmin, judging that the road surface compaction state of the detected road section does not meet the requirement, and marking the corresponding detected road section as an abnormal road section; and if the detection coefficient JCi is larger than or equal to the detection threshold JCmin, judging that the road surface compaction state of the detected road section meets the requirement, and marking the corresponding detected road section as a normal road section.
As a preferred embodiment of the present invention, the comparing process of the abnormality ratio with the abnormality threshold includes: if the abnormal ratio is smaller than the abnormal threshold value, the road compaction state is judged to meet the requirement, and a compaction qualified signal is sent to the monitoring feedback platform by the compaction detection module; if the abnormal ratio is larger than or equal to the abnormal threshold value, the road compaction state is judged not to meet the requirement, the compaction detection module sends an unqualified compaction signal to the monitoring feedback platform, and the monitoring feedback platform receives the unqualified compaction signal and then sends the unqualified compaction signal to a mobile phone terminal of a manager.
As a preferred embodiment of the present invention, the concrete process of the moisture analysis module for detecting and analyzing the moisture content of the compacted road includes: the method comprises the steps of obtaining the water content of a detected road section i, marking the water content as a water content value HSi, forming a water content range by a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, obtaining the driving speed of a road roller of the detected road section with the maximum detection coefficient in the water content intervals, marking the driving speed as the standard speed of the water content intervals, sending the standard speed of the water content intervals to a storage module for storage, establishing a standard speed set by the standard speed of the same water content interval received by the storage module, carrying out variance calculation on the standard speed set to obtain a standard speed representation value, obtaining the standard speed representation threshold value through the storage module, comparing the standard speed representation value with the standard speed representation threshold value, and obtaining the standard speed range of the water content intervals through the comparison result.
As a preferred embodiment of the present invention, the acquisition process of the target speed range of the water-containing zone comprises: if the standard speed expression value is smaller than the standard speed expression threshold value, the elements with the largest and the smallest values in the standard speed set form a standard speed range of the water-containing interval; if the standard speed expression value is larger than or equal to the standard speed expression threshold value, summing all elements of the standard speed set, and taking an average value to obtain a standard speed value PS, and obtaining a standard speed threshold value PSmin and PSmax through a formula PSmin = t1 × PS and a formula PSmax = t2 × PS, wherein t1 and t2 are proportional coefficients, t1 is more than or equal to 0.85 and less than or equal to 0.95, and t2 is more than or equal to 1.05 and less than or equal to 1.15; a standard speed range of a water-containing interval is formed by a flat speed threshold PSmin and PSmax; and in the next road compaction, acquiring a corresponding water-containing interval through water content monitoring, acquiring a standard speed range corresponding to the water-containing interval through a storage module, and controlling the running speed of the road roller within the standard speed range to compact the road.
As a preferred embodiment of the present invention, the specific process of operating the analysis module to perform vibration monitoring analysis on a road compacting vibratory roller comprises: acquiring a road surface thickness value of a detected road section i, marking the road surface thickness value as a road thickness value LHi, forming a road thickness range by the maximum value and the minimum value of the road thickness value, dividing the road thickness range into a plurality of road thickness intervals, acquiring a vibration frequency value and a vibration amplitude value of the vibratory roller in the detected road section with the maximum detection coefficient in the road thickness intervals, and forming vibration data of the road thickness intervals by the vibration frequency value and the vibration amplitude value; and in the next road pressing process, acquiring a road thickness value of the compacted road, matching a corresponding road thickness interval, acquiring vibration data corresponding to the road thickness interval, and setting parameters of the vibratory roller according to a vibration frequency value and a vibration amplitude value in the vibration data.
As a preferred embodiment of the invention, the working method of the BIM-based road compaction synchronous monitoring and feedback control system comprises the following steps:
the method comprises the following steps: detecting and analyzing the road compaction state, dividing the compacted road into a plurality of detection road sections, acquiring compaction data, compression resistance data and leveling data of the detection road sections, performing numerical calculation to obtain detection coefficients of the detection road sections, marking the detection road sections as normal road sections or abnormal road sections according to the numerical values of the detection coefficients, judging whether the road compaction state meets the requirements or not according to the number of the abnormal road sections in the detection road sections, monitoring the whole road compaction effect in a road section dividing mode, and further ensuring that the whole effect of the road compaction can meet the requirements;
step two: detecting and analyzing the water content of the compacted road, acquiring the water content of a detected road section, marking the water content as a water content value, forming a water content range by a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, matching a standard speed range of the water content intervals through a detection coefficient of the detected road section in the water content intervals, sending the standard speed range to a storage module for storage, providing data support for setting the running speed of a press machine in the subsequent road compaction process with different water content, and ensuring the compaction effect of the road with different water content;
step three: the vibration monitoring analysis is carried out on the vibratory roller for road compaction, the road thickness interval is matched with the vibration data, the vibration data and the road thickness interval are sent to the storage module to be stored, the working parameters of the vibratory roller are set in a mode of combining a vibration frequency value and a vibration amplitude value, and the road compaction effects of roads with different thicknesses are guaranteed.
The invention has the following beneficial effects:
1. the compaction detection module can be used for detecting and analyzing the compaction state of the road, monitoring the compaction effect through various parameters of road compaction, feeding back in time when the compaction effect is abnormal, and monitoring the whole road compaction effect in a road section segmentation mode, so that the whole effect of road compaction can meet the requirement;
2. the moisture content analysis module can match a standard speed range for the road moisture content, and performs data analysis on the detection coefficient corresponding to each moisture-containing section in a manner of dividing the moisture-containing range, so as to match and obtain the running speed of the press machine with the best compaction effect corresponding to the moisture-containing section, thereby providing data support for setting the running speed of the press machine in the subsequent road compaction process with different moisture contents, and ensuring the compaction effects of roads with different moisture contents;
3. vibration monitoring analysis can be carried out on the vibratory roller for road compaction through the operation analysis module, and then the corresponding vibration data is matched through the thickness values of different road surfaces, and the working parameters of the vibratory roller are set in a mode of combining the vibration frequency value and the vibration amplitude value, so that the road compaction effect of the road surfaces with different thicknesses is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in figure 1, the BIM-based road compaction synchronous monitoring and feedback control system comprises a monitoring feedback platform, wherein the monitoring feedback platform is in communication connection with a compaction detection module, a moisture analysis module, an operation analysis module and a storage module.
The compaction detection module is used for detecting and analyzing the road compaction state: dividing the compacted road into a detection road section i, i =1,2, \8230, wherein n, n are positive integers, acquiring compacted data YSi, compression data KYi and leveling data PZi of the detection road section i, the compacted data YSi is the road compaction degree of the detection road section i, the compression data KYi is 7d compression strength value of the detection road section i, the leveling data PZi is the road surface leveling degree of the detection road section i, a detection coefficient JCi of the detection road section i is obtained through a formula JCi = alpha 1 YSi + alpha 2 KYi + alpha 3 PZi, the detection coefficient is a numerical value which reflects the road compaction effect of the detection road section, the larger the numerical value of the detection coefficient is, the better the road compaction effect of the corresponding detection road section is shown, wherein alpha 1, alpha 2 and alpha 3 are proportional coefficients, and alpha 1 is more than alpha 2 and more than alpha 3; acquiring a detection threshold JCmin through a storage module, and comparing a detection coefficient JCi of a detected road section i with the detection threshold JCmin: if the detection coefficient JCi is smaller than the detection threshold value JCmin, judging that the road surface compaction state of the detected road section does not meet the requirement, and marking the corresponding detected road section as an abnormal road section; if the detection coefficient JCi is larger than or equal to the detection threshold JCmin, judging that the road surface compaction state of the detected road section meets the requirement, and marking the corresponding detected road section as a normal road section; acquiring the number of abnormal road sections, marking the number as m, marking the ratio of m to n as an abnormal ratio, acquiring an abnormal threshold value through a storage module, and comparing the abnormal ratio with the abnormal threshold value: if the abnormal ratio is smaller than the abnormal threshold value, the road compaction state is judged to meet the requirement, and a compaction qualified signal is sent to the monitoring feedback platform by the compaction detection module; if the abnormal ratio is larger than or equal to the abnormal threshold value, judging that the road compaction state does not meet the requirement, sending an unqualified compaction signal to a monitoring feedback platform by a compaction detection module, and sending the unqualified compaction signal to a mobile phone terminal of a manager by the monitoring feedback platform after receiving the unqualified compaction signal; carry out the testing analysis to the compaction state of road, monitor the compaction effect through each item parameter of road compaction, and then in time feed back when the compaction effect appears unusually, monitor holistic road compaction effect through the mode of highway section segmentation simultaneously, and then guarantee that the whole effect of road compaction can satisfy the demands.
The water content of the soil has great influence on the compaction degree, and the water content and the soil filling density of the same soil are different under the same compaction condition.
The moisture analysis module is used for detecting and analyzing the moisture content of the compacted road: acquiring the water content of a detection road section i, marking the water content as a water content value HSi, forming a water content range by a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, acquiring the driving speed of a road roller of the detection road section with the maximum detection coefficient in the water content intervals, marking the driving speed as a standard speed of the water content intervals, sending the standard speed of the water content intervals to a storage module for storage, establishing a standard speed set by the standard speed of the same water content interval received by the storage module, performing variance calculation on the standard speed set to obtain a standard speed expression value, acquiring the standard speed expression threshold value through the storage module, and comparing the standard speed expression value with the standard speed expression threshold value: if the standard speed expression value is smaller than the standard speed expression threshold value, the elements with the largest and the smallest values in the standard speed set form a standard speed range of the water-containing interval; if the standard speed performance value is greater than or equal to the standard speed performance threshold value, summing all elements of the standard speed set to obtain an average value to obtain a constant speed value PS, and obtaining constant speed threshold values PSmin and PSmax through a formula PSmin = t1 × PS and a formula PSmax = t2 × PS, wherein t1 and t2 are proportional coefficients, t1 is greater than or equal to 0.85 and less than or equal to 0.95, and t2 is greater than or equal to 1.05 and less than or equal to 1.15; a standard speed range of a water-containing interval is formed by a constant speed threshold value PSmin and PSmax; in the next road compaction, acquiring a corresponding water-containing interval through water content monitoring, acquiring a standard speed range corresponding to the water-containing interval through a storage module, and controlling the running speed of the road roller within the standard speed range to compact the road; and matching a standard speed range for the road moisture content, performing data analysis on the detection coefficient corresponding to each moisture-containing interval in a manner of dividing the moisture-containing range, and further matching to obtain the running speed of the press machine with the best compaction effect corresponding to the moisture-containing interval, so that data support is provided for setting the running speed of the press machine in the road compaction process with different moisture contents, and the compaction effects of roads with different moisture contents are ensured.
The operation analysis module is used for carrying out vibration monitoring analysis on the road compaction vibratory roller: acquiring a road surface thickness value of a detected road section i, marking the road surface thickness value as a road thickness value LHi, forming a road thickness range by the maximum value and the minimum value of the road thickness value, dividing the road thickness range into a plurality of road thickness intervals, acquiring a vibration frequency value and a vibration amplitude value of a vibratory roller in the detected road section with the maximum detection coefficient in the road thickness intervals, and forming vibration data of the road thickness intervals by the vibration frequency value and the vibration amplitude value; acquiring a road thickness value of a compacted road and matching a corresponding road thickness interval in the next road compaction, acquiring vibration data corresponding to the road thickness interval, and performing parameter setting on the vibratory roller according to a vibration frequency value and a vibration amplitude value in the vibration data; the method comprises the steps of carrying out vibration monitoring analysis on the vibratory roller compacted by roads, matching corresponding vibration data through thickness values of different roads, and setting working parameters of the vibratory roller by adopting a mode of combining a vibration frequency value and a vibration amplitude value to ensure road compaction effects of the roads compacted by different thicknesses.
Example two
As shown in FIG. 2, a BIM-based road compaction synchronous monitoring and feedback control method comprises the following steps:
the method comprises the following steps: detecting and analyzing the road compaction state, dividing the compaction road into a plurality of detection road sections, acquiring compaction data, compression resistance data and leveling data of the detection road sections, carrying out numerical calculation to obtain detection coefficients of the detection road sections, marking the detection road sections as normal road sections or abnormal road sections according to the numerical values of the detection coefficients, judging whether the road compaction state meets the requirement or not according to the number of the abnormal road sections in the detection road sections by comparison, monitoring the whole road compaction effect in a road section dividing mode, and further ensuring that the whole effect of the road compaction can meet the requirement;
step two: detecting and analyzing the water content of the compacted road, acquiring the water content of a detected road section, marking the water content as a water content value, forming a water content range by a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, matching a standard speed range of the water content intervals through a detection coefficient of the detected road section in the water content intervals, sending the standard speed range to a storage module for storage, providing data support for setting the running speed of a press machine in the subsequent road compaction process with different water content, and ensuring the compaction effect of the road with different water content;
step three: the vibration monitoring analysis is carried out on the vibratory roller for road compaction, the road thickness interval is matched with the vibration data, the vibration data and the road thickness interval are sent to the storage module to be stored, the working parameters of the vibratory roller are set in a mode of combining a vibration frequency value and a vibration amplitude value, and the road compaction effects of roads with different thicknesses are guaranteed.
A road compaction synchronous monitoring and feedback control system based on BIM is characterized in that when the system works, a road compaction state is detected and analyzed, a compacted road is divided into a plurality of detection road sections, compaction data, compression resistance data and leveling data of the detection road sections are obtained, numerical calculation is carried out to obtain detection coefficients of the detection road sections, the detection road sections are marked as normal road sections or abnormal road sections according to the numerical values of the detection coefficients, and whether the road compaction state meets requirements or not is judged according to the number of the abnormal road sections in the detection road sections; detecting and analyzing the water content of the compacted road, acquiring the water content of a detection road section, marking the water content as a water content value, forming a water content range by using a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, matching a standard speed range of the water content intervals by using a detection coefficient of the detection road section in the water content intervals, and sending the standard speed range to a storage module for storage; the vibration monitoring analysis is carried out on the vibratory roller for road compaction, the road thickness interval is matched with the vibration data, and the vibration data and the road thickness interval are sent to the storage module to be stored.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula JCi = α 1 ysi + α 2 kyi + α 3 pzi; collecting multiple groups of sample data by technicians in the field and setting corresponding detection coefficients for each group of sample data; substituting the set detection coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 6.28, 4.69 and 3.17 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding detection coefficient is preliminarily set for each group of sample data by a person skilled in the art; without affecting the proportional relationship between the parameters and the quantified values, e.g., the detection coefficients are proportional to the values of the compaction data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A BIM-based road compaction synchronous monitoring and feedback control system comprises a monitoring feedback platform, and is characterized in that the monitoring feedback platform is in communication connection with a compaction detection module, a moisture analysis module, an operation analysis module and a storage module;
the compaction detection module is used for detecting and analyzing the road compaction state: dividing the compacted road into detection road sections i, i =1,2, \ 8230, wherein n, n are positive integers, acquiring compacted data YSi, compression resistance data KYi and leveling data PZi of the detection road sections i, performing numerical calculation to obtain detection coefficients JCi of the detection road sections i, and marking the detection road sections as normal road sections or abnormal road sections according to the numerical values of the detection coefficients JCi; acquiring the number of abnormal road sections, marking the number as m, marking the ratio of m to n as an abnormal ratio, acquiring an abnormal threshold value through a storage module, comparing the abnormal ratio with the abnormal threshold value, and judging whether the road compaction state meets the requirement or not through a comparison result;
the moisture analysis module is used for detecting and analyzing the moisture content of the compacted road, acquiring a standard speed range and sending the standard speed range to the monitoring feedback platform;
the operation analysis module is used for carrying out vibration monitoring analysis on the road compacted vibratory roller, obtaining vibration data and sending the vibration data to the monitoring feedback platform;
the concrete process of the moisture analysis module for detecting and analyzing the moisture content of the compacted road comprises the following steps: acquiring the water content of a detection road section i, marking the water content as a water content value HSi, forming a water content range by a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, acquiring the driving speed of a road roller of the detection road section with the maximum detection coefficient in the water content intervals, marking the driving speed as a standard speed of the water content intervals, sending the standard speed of the water content intervals to a storage module for storage, establishing a standard speed set of the standard speed of the same water content interval received by the storage module, performing variance calculation on the standard speed set to obtain a standard speed expression value, acquiring the standard speed expression threshold value through the storage module, comparing the standard speed expression value with the standard speed expression threshold value, and acquiring the standard speed range of the water content intervals through a comparison result;
the acquisition process of the standard speed range of the hydrous interval comprises the following steps: if the standard speed expression value is smaller than the standard speed expression threshold value, the elements with the largest and the smallest values in the standard speed set form a standard speed range of the water-containing interval; if the standard speed expression value is larger than or equal to the standard speed expression threshold value, summing all elements of the standard speed set, and taking an average value to obtain a standard speed value PS, and obtaining a standard speed threshold value PSmin and PSmax through a formula PSmin = t1 × PS and a formula PSmax = t2 × PS, wherein t1 and t2 are proportional coefficients, t1 is more than or equal to 0.85 and less than or equal to 0.95, and t2 is more than or equal to 1.05 and less than or equal to 1.15; a standard speed range of a water-containing interval is formed by a flat speed threshold PSmin and PSmax; and in the next road compaction, acquiring a corresponding water-containing interval through water content monitoring, acquiring a standard speed range corresponding to the water-containing interval through a storage module, and controlling the running speed of the road roller within the standard speed range to compact the road.
2. The BIM-based road compaction synchronous monitoring and feedback control system as claimed in claim 1, wherein the compaction data YSi is road compaction degree of the detected road section i, the compression resistance data KYi is 7d compression resistance value of the detected road section i, and the leveling data PZi is road flatness of the detected road section i.
3. The BIM-based road compaction synchronization monitoring and feedback control system according to claim 1, wherein the process of marking the detected road segment as a normal road segment or an abnormal road segment comprises: acquiring a detection threshold JCmin through a storage module, and comparing a detection coefficient JCi of a detected road section i with the detection threshold JCmin: if the detection coefficient JCi is smaller than the detection threshold value JCmin, judging that the road surface compaction state of the detected road section does not meet the requirement, and marking the corresponding detected road section as an abnormal road section; and if the detection coefficient JCi is greater than or equal to the detection threshold JCmin, judging that the road surface compaction state of the detected road section meets the requirement, and marking the corresponding detected road section as a normal road section.
4. The BIM-based road compaction synchronization monitoring and feedback control system according to claim 1, wherein the comparison of the anomaly ratio to the anomaly threshold comprises: if the abnormal ratio is smaller than the abnormal threshold value, the road compaction state is judged to meet the requirement, and a compaction qualified signal is sent to the monitoring feedback platform by the compaction detection module; if the abnormal ratio is larger than or equal to the abnormal threshold value, the road compaction state is judged to not meet the requirement, the compaction detection module sends an unqualified compaction signal to the monitoring feedback platform, and the monitoring feedback platform receives the unqualified compaction signal and then sends the unqualified compaction signal to a mobile phone terminal of a manager.
5. The BIM-based road compaction synchronous monitoring and feedback control system according to claim 1, wherein the specific process of operating the analysis module to perform vibration monitoring analysis on the road compaction vibratory roller comprises: acquiring a road surface thickness value of a detected road section i, marking the road surface thickness value as a road thickness value LHi, forming a road thickness range by the maximum value and the minimum value of the road thickness value, dividing the road thickness range into a plurality of road thickness intervals, acquiring a vibration frequency value and a vibration amplitude value of a vibratory roller in the detected road section with the maximum detection coefficient in the road thickness intervals, and forming vibration data of the road thickness intervals by the vibration frequency value and the vibration amplitude value; and acquiring a road thickness value of the compacted road and matching a corresponding road thickness interval in the next road compaction, acquiring vibration data corresponding to the road thickness interval, and performing parameter setting on the vibratory roller according to a vibration frequency value and a vibration amplitude value in the vibration data.
6. The BIM-based road compaction synchronous monitoring and feedback control system according to any one of claims 1 to 5, wherein the working method of the BIM-based road compaction synchronous monitoring and feedback control system comprises the following steps:
the method comprises the following steps: detecting and analyzing the road compaction state, dividing the compacted road into a plurality of detection road sections, acquiring compaction data, compression resistance data and leveling data of the detection road sections, performing numerical calculation to obtain detection coefficients of the detection road sections, marking the detection road sections as normal road sections or abnormal road sections according to the numerical values of the detection coefficients, and judging whether the road compaction state meets the requirements or not according to the quantity of the abnormal road sections in the detection road sections;
step two: detecting and analyzing the water content of the compacted road, acquiring the water content of a detected road section, marking the water content as a water content value, forming a water content range by using a maximum water content value and a minimum water content value, dividing the water content range into a plurality of water content intervals, matching a standard speed range of the water content intervals by using a detection coefficient of the detected road section in the water content intervals, and sending the standard speed range to a storage module for storage;
step three: the vibration monitoring analysis is carried out on the road compaction vibratory roller, the road thickness interval is matched with the vibration data, and the vibration data and the road thickness interval are sent to the storage module to be stored.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109468918A (en) * | 2018-10-31 | 2019-03-15 | 北京龙马智行科技有限公司 | A kind of subgrade and pavement intelligence compacting decision system |
| CN112988510A (en) * | 2021-03-12 | 2021-06-18 | 东南大学 | BIM-based road compaction synchronous monitoring and feedback control system |
| KR102287849B1 (en) * | 2020-12-03 | 2021-08-10 | (주)영신디엔씨 | ICT and IOT based real time monitoring system of road ground or road pavement roller type compaction process |
| CN114062509A (en) * | 2021-11-09 | 2022-02-18 | 河北省高速公路延崇管理中心 | Real-time nondestructive testing method and system for roadbed compactness |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108867283A (en) * | 2018-08-17 | 2018-11-23 | 上海宝冶集团有限公司 | In-service quality determining method for roadbed filling compacting |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109468918A (en) * | 2018-10-31 | 2019-03-15 | 北京龙马智行科技有限公司 | A kind of subgrade and pavement intelligence compacting decision system |
| KR102287849B1 (en) * | 2020-12-03 | 2021-08-10 | (주)영신디엔씨 | ICT and IOT based real time monitoring system of road ground or road pavement roller type compaction process |
| CN112988510A (en) * | 2021-03-12 | 2021-06-18 | 东南大学 | BIM-based road compaction synchronous monitoring and feedback control system |
| CN114062509A (en) * | 2021-11-09 | 2022-02-18 | 河北省高速公路延崇管理中心 | Real-time nondestructive testing method and system for roadbed compactness |
Non-Patent Citations (1)
| Title |
|---|
| 王海峰 ; 马涛 ; .路基压实连续检测系统在兰新二线路基工程中的应用.2015,(02),第131-136页. * |
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