Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction
Abstract
:1. Introduction
2. Development of Monitoring System of Curing Compound Spraying Amount
2.1. Selection of Flow Measurement Sensor
=Equipment speed (m/s) × Pavement width (m) × Standard spraying amount (L/m2)
=0.5 × 9.0 × 0.45 = 2.025 (L/s)
2.2. Accuracy Analysis of Flowmeter
2.3. Algorithm of Curing Compound Spraying Amount Monitoring System
=Curing compound spraying amount (L)/(Moving distance of spraying equipment (m) × Pavement width (m))
3. Development of Monitoring System of Curing Compound Sprayed Status
3.1. Selection of Image Acquisition Sensor
3.2. Image Analysis Program of Curing Compound Sprayed Status
3.3. Determination of Grayscale Reference of Curing Compound Sprayed Status
3.4. Algorithm of Curing Compound Sprayed Status Monitoring System
4. Feasibility In Situ Test
4.1. Analysis of Spraying Equipment Location and Speed
4.2. Analysis of Curing Compound Spraying Amount
4.3. Analysis of Curing Compound Sprayed Status
5. Summary and Conclusions
- (1)
- We conduct a series of laboratory experiments to analyze the accuracy by selecting a flowmeter capable of measuring the curing compound spraying amount during concrete pavement construction and easy to transmit data in real time. As a result of the flow measurement accuracy test using water and curing compound, the accuracy is over 96%. Therefore, it is confirmed that the selected turbine flowmeter can be applied to measure the curing compound spraying amount in the field;
- (2)
- We select an image acquisition sensor for analyzing the curing compound sprayed status. The image sensor is able to interconnect the IP between the sensor and the personal computer, its output value is over 20 fps for the analysis of the sprayed status, and it can utilize gigabit Ethernet to make image processing more efficient;
- (3)
- To evaluate whether the curing compound is sprayed evenly, we develop an image processing program in this study that can convert the image of the curing compound sprayed status into grayscale and perform image clustering for analysis. The main function of the program is to convert the original image into grayscale, and the user can define the section to be analyzed. The image analysis results can be viewed as grayscale images, histograms, and tables, and analysis data can be saved in a CSV file format;
- (4)
- We perform laboratory experiments to select the reference grayscale range required for the analysis of the curing compound sprayed status. As a result, it is proposed to use a grayscale value of 185 in sunny weather and 170 in cloudy weather. However, these criteria are for reference only to users, and depending on the construction site conditions and environmental conditions, users can change and input a new grayscale reference value defined as the criterion for the appropriateness of the curing compound sprayed status into the program;
- (5)
- We develop the algorithms for the curing compound spraying amount monitoring system and for the curing compound sprayed status monitoring system. In the curing compound spraying amount monitoring system, if it is evaluated that the curing compound spraying amount does not meet the standard, the curing compound spraying process can be calibrated in real time by adjusting the curing compound spraying amount or by adjusting the speed of the curing compound spraying equipment. In the curing compound sprayed status monitoring system, if it is evaluated that the curing compound sprayed status is uneven, the spray nozzles of the curing compound spraying equipment are checked and corrected, and the curing compound is re-sprayed in the section where the curing compound is not evenly sprayed;
- (6)
- In the curing compound spraying amount monitoring system and curing compound sprayed status monitoring system, various measured and analyzed values are transmitted to the IoT cloud and stored. These types of data include construction time, spraying equipment speed, equipment’s latitude, longitude and altitude, curing compound spraying rate, curing compound spraying amount, curing compound spraying amount per unit area, and ratio above the grayscale reference value of the curing compound sprayed status image. Through the cloud, it is possible to promote quality control by providing measurement and analysis data to construction personnel in real time;
- (7)
- We conduct the field experiment to confirm the field applicability of the developed IoT-based curing compound spraying amount monitoring system. Based on the data transmitted to the IoT cloud in the field experiment, the location and speed of the curing compound spraying equipment can be properly analyzed as the spraying equipment moves. It is also confirmed that it is possible to evaluate in real time whether the curing compound spraying amount per unit area is appropriate to the standard;
- (8)
- We conduct the field experiment to confirm the field applicability of the developed IoT-based curing compound sprayed status monitoring system. For the experiment, firstly, the amount of spraying from each spray nozzle is changed so that the curing compound sprayed status is not uniform. And then we perform the experiment a second time by re-spraying the curing compound after maintaining the spray nozzle so that the curing compound sprayed status is more uniform. It is confirmed that when the curing compound sprayed status is not uniform and does not satisfy the grayscale standard range, the user’s screen is changed to yellow, and an alarm is immediately delivered to the user. It is also confirmed that when the curing compound sprayed status is uniform, it is properly evaluated.
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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Country/State | Curing Compound Application Rate (L/m2) |
---|---|
Korea | 0.4~0.5 |
United Kingdom | 0.22 |
Australia | 0.4 |
Japan | 0.1~0.2 |
Arizona | 0.41 |
Florida | 0.27 |
Illinois | 0.32 |
Kentucky | 0.34 |
Louisiana | 0.41 |
Michigan | 0.36 |
Mississippi | 0.27 |
New York | 0.27 |
North Carolina | 0.27 |
Texas | 0.46 |
Utah | 0.41 |
Virginia | 0.27~0.41 |
Washington | 0.27 |
Case | Measured Flow Speed (L/s) | Calculated Volume of Water (L) | Measured Volume of Water in Tank (L) | Accuracy (%) |
---|---|---|---|---|
1 | 3.62 | 36.2 | 37.5 | 96.5 |
2 | 2.53 | 25.3 | 26.2 | 96.6 |
3 | 1.51 | 15.1 | 15.7 | 96.2 |
4 | 0.79 | 7.9 | 7.6 | 96.1 |
Average accuracy (%) | 96.4 |
Case | Measured Flow Speed (L/s) | Calculated Volume of Curing Compound (L) | Measured Weight of Curing Compound in Tank (kg) | Converted Volume of Curing Compound (L) | Accuracy (%) |
---|---|---|---|---|---|
1 | 3.64 | 36.4 | 31.8 | 37.0 | 98.4 |
2 | 2.50 | 25.0 | 22.3 | 25.9 | 96.4 |
3 | 1.54 | 15.4 | 13.6 | 15.8 | 97.4 |
4 | 0.78 | 7.8 | 7.1 | 8.3 | 94.5 |
Average accuracy (%) | 96.7 |
No. | Area | Specimen of Sprayed Area of 50% | Specimen of Sprayed Area of 66% | Specimen of Sprayed Area of 100% |
---|---|---|---|---|
1 | Not sprayed concrete surface | 0~190 | 0~190 | 0~190 |
Curing compound sprayedconcrete surface | 191~255 | 191~255 | 191~255 | |
2 | Not sprayed concrete surface | 0~184 | 0~181 | 0~184 |
Curing compound sprayedconcrete surface | 185~255 | 182~255 | 185~255 | |
3 | Not sprayed concrete surface | 0~190 | 0~190 | 0~190 |
Curing compound sprayedconcrete surface | 191~255 | 191~255 | 191~255 | |
4 | Not sprayed concrete surface | 0~177 | 0~185 | 0~184 |
Curing compound sprayedconcrete surface | 178~255 | 186~255 | 185~255 |
No. | Area | Specimen of Sprayed Area of 50% | Specimen of Sprayed Area of 66% | Specimen of Sprayed Area of 100% |
---|---|---|---|---|
1 | Not sprayed concrete surface | 0~176 | 0~174 | 0~172 |
Curing compound sprayedconcrete surface | 177~255 | 175~255 | 173~255 | |
2 | Not sprayed concrete surface | 0~174 | 0~175 | 0~176 |
Curing compound sprayedconcrete surface | 175~255 | 176~255 | 177~255 | |
3 | Not sprayed concrete surface | 0~168 | 0~167 | 0~168 |
Curing compound sprayedconcrete surface | 169~255 | 168~255 | 169~255 |
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Share and Cite
Baek, S.H.; Lee, K.I.; Kim, S.-M. Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction. Sensors 2023, 23, 8187. https://doi.org/10.3390/s23198187
Baek SH, Lee KI, Kim S-M. Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction. Sensors. 2023; 23(19):8187. https://doi.org/10.3390/s23198187
Chicago/Turabian StyleBaek, Soon Ho, Kang In Lee, and Seong-Min Kim. 2023. "Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction" Sensors 23, no. 19: 8187. https://doi.org/10.3390/s23198187
APA StyleBaek, S. H., Lee, K. I., & Kim, S.-M. (2023). Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction. Sensors, 23(19), 8187. https://doi.org/10.3390/s23198187