Real-Time Field Quality Management System for Asphalt Pavement Using Cloud †
by
, and
Kyu-Dong Jeong
1, 
Dong-Hyuk Kim
1,
Jae-Won Kim
1,
Soo-Ahn Kwon
1,
Nam-Ho Kim
2 and
Sung-Do Hwang
1,* 1
Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Republic of Korea
2
Architectural Engineering, School of Design and Architectural Engineering, Korea University of Technology & Education, Cheonan 31253, Republic of Korea
*
Author to whom correspondence should be addressed.
†
Presented at the Second International Conference on Maintenance and Rehabilitation of Constructed Infrastructure Facilities, Honolulu, HI, USA, 16–19 August 2023.
Eng. Proc. 2023, 36(1), 50; https://doi.org/10.3390/engproc2023036050
Published: 18 July 2023
(This article belongs to the Proceedings of The Second International Conference on Maintenance and Rehabilitation of Constructed Infrastructure Facilities (MAIREINFRA2))
Abstract
:If the production and construction information of asphalt mixture are tightly coupled and quality control is performed in real time, it is possible to minimize quality degradation and solve problems early. For these objectives, a cloud-based IoT (Internet of Things) PQMS (Pavement Quality Management System) was developed in this study. As a result, drivers and managers can monitor construction information and identify problems using monitors and apps. In 2023, it will be applied to national road construction sites to verify the effectiveness of the proposed cloud-based IoT PQMS and address potential problems.
1. Introduction
Asphalt pavement has a different performance life depending on quality management during production and construction. However, non-real-time quality management system does not guarantee sufficient performance. Recently, with the rapid development of Internet technology, the era of real-time management of pavement quality has arrived. A lot of research has already been conducted on how to solve the poor quality of pavement construction by monitoring the construction process in real-time [1,2]. Dong et al. applied IoT and 5G technologies to develop a technology to collect and transmit data from mixing plant, transportation vehicles, and paving and compaction processes [3]. And Beainy developed a technology to evaluate the compaction quality in real-time and non-contact by measuring the vibration response of the compaction roller [4]. This study aims to extend the performance life of asphalt pavement through the acquisition, transmission, and processing of quality information at each stage of asphalt pavement construction using IoT technology.
To achieve these objectives, a cloud-based IoT PQMS(Internet of Things Pavement Quality Management System) was developed in this study. A technology has been developed to transmit construction quality information of dump trucks, asphalt pavers, and compaction rollers to the cloud. Through the analysis and processing of transmitted information, drivers and managers can use monitors and apps to monitor construction information and identify problems.
2. Method
Real-time field quality management system for asphalt pavement construction developed in this study is shown in Figure 1. The quality management process in asphalt pavement construction can be largely divided into three categories. First, at the asphalt paver, the quality related to the paving of the mixture can be managed through the paving control IoT module. Second, at the compaction roller, the quality related to compaction can be managed through the compaction control IoT module. Third, after construction, the final compaction quality can be managed with compaction test equipment. Quality management information can be transmitted to the cloud using IoT technology, and through this, the level of quality control can be improved. In this study, the modules to be attached to the equipment of each process was developed, and monitoring software that can check quality control information in real time was developed.
3. Results
The modules including various sensors and devices to be attached to asphalt paver, compaction roller, and compaction test equipment were developed. In addition, quality information and navigation monitoring software that operators of asphalt paver and compaction roller can utilize was developed.
3.1. Asphalt Paver
The climate sensor, RTK GNSS, LTE, infrared camera, monitor, integrated board, and beacon were attached to the asphalt paver as shown in Figure 2a. The climate sensor collected weather information at the time of construction and will be used for big data analysis in the future. The RTK GNSS collected precise location information of asphalt paver during construction. The infrared camera collected the temperature of the mixture and the surface temperature of the pavement. The beacon recognized the truck that has arrived and made it possible to link the production information of the asphalt mixture. The integrated board stored the collected information, and the LTE device transmitted the stored information to the cloud. The information that the operator of the asphalt paver can see was as shown in Figure 2b. The operator can check the collected information such as the location and speed of the paver, the temperature of the transported mixture, and the surface temperature of the pavement through the monitor.
3.2. Compaction Roller
The accelerometer sensor, RTK (Real Time Kinematic) GNSS (Global Navigation Satelite System), LTE (Long Term Evolution), monitor, analysis board, and infrared temperature sensor were attached to the compaction roller as shown in Figure 3a. The accelerometer sensor measured the vibration of the roller and estimated the degree of compaction. The RTK GNSS collected precise location information of compaction roller. The infrared temperature sensor collected the compaction temperature. The analysis board stored the collected information and analyzed the degree of compaction. And the LTE device transmitted the stored information to the cloud. The information that the operator of the compaction roller can see was as shown in the Figure 3b. The operator can check the collected information such as the location and speed of the roller, the compaction temperature, and compaction navigating through the monitor.
3.3. Compaction Test Equipment
The lift sensor, image capturing sensor, RTK GNSS, road condition detection device, GPR (Ground Penetrating Radar) sensor, and DMI (Directional Movement Index) were attached to the compaction test equipment as shown in Figure 4. The image capturing sensor and road condition detection device collected pavement condition information immediately after construction. The GPR sensor collected information inside the pavement to estimate the degree of compaction. DMI and RTK GNSS collected location information of equipment.
4. Discussion
The real-time quality control system for asphalt pavement construction developed in this study was tested at a test bed in Yeoncheon. The quality control information collected from the test bed is being compared and analyzed with actual information. It is planned to evaluate the applicability by solving the problems found in the analysis and applying it to the actual asphalt pavement section to be constructed by the Ministry of Land, Infrastructure and Transport.
5. Conclusions
In this study, a cloud-based IoT Pavement Quality Management System was developed to minimize quality degradation and address problems early by tightly coupling production and construction information of asphalt mixture and performing real-time quality control. Through the system, drivers and managers can monitor construction information and identify problems using monitors and apps. The proposed cloud-based IoT PQMS will be applied to national road construction sites in 2023 to verify its effectiveness and address potential problems. The results of this study demonstrate the potential of IoT technology in improving pavement quality management and paving the way for further development in this field.
Author Contributions
Conceptualization, K.-D.J. and D.-H.K.; methodology, J.-W.K.; software, D.-H.K.; validation, K.-D.J., D.-H.K. and J.-W.K.; formal analysis, N.-H.K.; investigation, N.-H.K.; resources, S.-A.K.; data curation, J.-W.K.; writing—original draft preparation, K.-D.J.; writing—review and editing, S.-D.H. and S.-A.K.; visualization, D.-H.K.; supervision, S.-D.H.; project administration, S.-D.H.; funding acquisition, S.-D.H. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport Grant RS-2019-KA152690.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
This paper is not a data-based analysis paper, but a system construction paper, so there is no data that can be shared.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
References
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Figure 1.
Real-time field quality management system for asphalt pavement construction.
Figure 2.
IoT PQMS related to asphalt paver: (a) Installed sensor; (b) Monitor.
Figure 3.
IoT PQMS related to compaction roller: (a) Installed sensor; (b) Monitor.
Figure 4.
IoT PQMS related to compaction test equipment.
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MDPI and ACS Style
Jeong, K.-D.; Kim, D.-H.; Kim, J.-W.; Kwon, S.-A.; Kim, N.-H.; Hwang, S.-D. Real-Time Field Quality Management System for Asphalt Pavement Using Cloud. Eng. Proc. 2023, 36, 50. https://doi.org/10.3390/engproc2023036050
AMA Style
Jeong K-D, Kim D-H, Kim J-W, Kwon S-A, Kim N-H, Hwang S-D. Real-Time Field Quality Management System for Asphalt Pavement Using Cloud. Engineering Proceedings. 2023; 36(1):50. https://doi.org/10.3390/engproc2023036050
Chicago/Turabian StyleJeong, Kyu-Dong, Dong-Hyuk Kim, Jae-Won Kim, Soo-Ahn Kwon, Nam-Ho Kim, and Sung-Do Hwang. 2023. "Real-Time Field Quality Management System for Asphalt Pavement Using Cloud" Engineering Proceedings 36, no. 1: 50. https://doi.org/10.3390/engproc2023036050
