Design of Algorithm Control For Monitoring System And Control Bridge Based Internet of Things (IoT)

Currently, the government is trying to improve road infrastructure in the form of tolls and bridges. In its construction design, the general bridge age is planned to have a life span of 100 years for large bridges and 50 years as the lifespan limit [1]. Over time the bridge will experience changes caused by movement from nature, bridge loads, bridge construction structures, excessive vibration, and so on [1]. One of the causes of a bridge collapse is a load that exceeds the capacity [2]. For example, the case of the ring bridge in Tuban district collapsed, because the vehicle load exceeded the bridge's capacity. Regarding the case of a bridge collapse in Tuban, it inspired the idea to collect, consider and maintain every bridge in Indonesia. If there is a bridge that fixes the collapse, repair activities can be carried out in Indonesia. In this research, a design algorithm was made, in which the compilation of devices mounted by the bridge so as not to exceed the maximum bridge load capacity. Vehicles entering the bridge have been indexed by several variables within 24 hours. Some of these variables are time, vehicle identity consisting of the license plate number, type of vehicle, vehicle weight and index. Design a bridge monitoring system and Internet-based (IoT) bridge monitoring algorithm. The truth of the algorithm, a simulation program was created using a visual studio, a database using MySQL and a website over base application. But in designing this algorithm, analysis is needed in determining the number of accelerometer sensors. The purpose of this algorithm system is bridge capability so that the weight of the incoming vehicle is not much or exceeds the bridge's capability limit. The validation of the design of this algorithm is to compare the workings of the standard algorithm. The results of this study are the creation of an algorithm for the Internet of Things (IoT) based monitoring and control systems that can provide information about bridges in real-time. This research can help the government transportation department especially inland transportation, one of the online and real-time supply monitoring solutions. Besides, this research can be used as a bridge management and maintenance system so that the bridge can last longer.