2026 Volume 7 Issue 1 Pages 180-188
To improve the efficiency of assessing damage and maintaining road bridges, including expressway bridges, we developed a compact IoT seismometer suitable for retrofitting existing structures and evaluated its effectiveness. With no external power source, cloud transmission capability, and low cost in mind, we designed a prototype combining a MEMS accelerometer, an independent power supply, and wireless communication functionality. Acquired data was saved in a K-NET ASCII file format. Simple vibration tests confirmed that the device has acceleration measurement performance equivalent to that of existing strain gauge accelerometers under no-vibration and vibration conditions. Furthermore, we demonstrated the potential for constructing an information infrastructure enabling remote monitoring of road bridge vibration conditions by automatically performing waveform processing on the acquired data, storing the results in the cloud, and linking with SNS.
