Development of an Arduino-Based Truck Load Detection System for Bridge Safety Monitoring

Abstract

The safety of bridge structures is very important to consider, especially in withstanding the weight of passing trucks. Overloading can cause structural damage that can potentially jeopardize the safety of bridge users. Therefore, a truck load weight detection system is needed that is able to monitor the load in real-time and provide early warning in the event of overloading. This research aims to design and implement an Arduino-based truck load weight detection system installed on the bridge. This system uses a load sensor (load cell) to measure the weight of passing vehicles, where the weight data is then processed by an Arduino arduiuno. The system is equipped with a wireless communication module that allows weight data to be sent directly to the control center or bridge operator. The results of system testing show that this system is able to detect the weight of truck loads with a good level of accuracy. With this system, it is expected to improve bridge safety and provide accurate information related to the distribution of loads passing over the bridge.

REFERENCES 

Arsyad, O. R., & Kartika, K. P. (2021). Design and build safe safety devices using Arduino-based fingerprint sensors. JATI (Student Journal of Informatics Engineering), 5(1), 1–6.

Gunawan, G., & Ardiyansyah, M. R. (2023). Design and build an Arduino-based photovoltaic panel performance tester. State Polytechnic at the End of the Line.

Handiko, Y. T. (2022). Design and Build a Digital Scale Model Using Load Cell Sensors and IoT-Based Scale Recording.

Kartika Riyanti, K. P., Kakaravada, I., & Ahmed, A. A. (2022). An Automatic Load Detector Design to Determine the Strength of Pedestrian Bridges Using Load Cell Sensor Based on Arduino. Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, 4(1), 15–22. https://doi.org/10.35882/ijeeemi.v4i1.3

Kazuya, A. S., Ariyadi, T., Dasmen, R. N., & Fitriani, E. (2024). Design of Digital-Based Scales Equipped with Metal Detectors as Metal Sensors. Journal of Tambusai Education, 8(1), 14261–14277.

Khristianto, W. & et al. (2022). Management Information System: The purpose of the Management Information System. In CV. Pena Persada (April Issue).

Kurnia, R., Firdaus, R., Lufti, L., & Anshor, M. H. (2019). Load cell sensor automation to overcome vehicle overload. National Journal of Electrical Engineering, 8(2), 81. https://doi.org/10.25077/jnte.v8n2.666.2019

Laili, D. T., & Bahri, S. (2022). Prototype of Car Parking System Using Load Cell Sensor with Android-Based Arduino Mega 2560. Coding Journal of Computers and Applications, 8(1).

Nurlaila, N., Paembonan, S., & Suppa, R. (2024). Design Arduino-based vehicle speed detection. Journal of Informatics and Applied Electrical Engineering, 12(3).

Pranita, E. (2023). Automatic bridge control uses Arduino-based ultrasonic sensors. ICTEE Journal, 4(2), 13. https://doi.org/10.33365/jictee.v4i2.3143

Rachmawati, P. (n.d.). Digital Scale Simulation Design Using HX711 Sensor with Additional ESP32-Based Buzzer.

Ridwan, M., Widiastiwi, Y., Zaidiah, A., Purabaya, R. H., Isnainiyah, I. N., Ardilla, Y., & Rahayu, T. (2021). Management Information Systems. Widina Publisher.

Rizal-Alfariski, M., Dhandi, M., & Kiswantono, A. (2022). Automatic Transfer Switch (ATS) Using Arduino Uno, IoT-Based Relay and Monitoring. Journal of Telecommunication Systems, Electronics, Control Systems, Power Systems and Computers, 2(1), 1–8.

Rustandi, A. (2020). Monitoring Current and Electrical Power with Notification System from Smartphones in Internet of Things (IoT)-Based Household Electrical Installations. Indonesian Computer University.

Sibuea, S., & Saftaji, B. (2020). The design of the vehicle load monitoring system uses load cell sensor technology. Journal of Informatics and Computer Technology, 6(2), 144–156. https://doi.org/10.37012/jtik.v6i2.309

Simanjuntak, R. S. (2023). Design and build "Arduino Nano-based Earthquake Alarm Automatic Switch.

Sunardi, R. A., Wijaya, S. H., Hidayat, I., & Noerdyah, P. S. (2024). Design and Build Automatic Door Locks Based on Arduino Arduiunos Using RFID and SIM900 as Security Systems. Journal of Industrial Engineering, Information Systems and Informatics Engineering, 3(1).

Widharma, I. G. (2021). Arduiuno Textbook (Chapter Six).

Wiguna, A. R. (2020). Analysis of how ultrasonic sensors and servo motors work using Arduino Uno arduiunos for pest control in rice fields. OSF PREPR.