Infrastructure sensing instruments are well-developed in many fields; however, existing measurement devices mainly use passive sensing methods. The vibration response from infrastructure is fundamental small because of its static structure. Thus, the modal response could not be sufficiently measured using microtremors. This study develops a vibration-active sensing device to detect infrastructure deterioration. Previous active sensing methods mainly used scientific measurement instruments, and structural monitoring using these methods is limited. Thus our development target was a simplified active sensing device composed of an Internet of Things sensor and device. Our active vibration-sensing device contained an electrodynamic vibration speaker to excite the target vibration mode. Thus, the desired vibrational mode can be selectively excited in the principal subcomponent, or component structures. Therefore, the device can sufficiently obtain the desired modal response. In development, the most important aspect is the systematic analysis of the electro-dynamic speaker and structure. The electro-dynamic speaker has its resonance characteristics (electrical circuit and mechanical resonances), which are affected by the structural resonance characteristics. For a more detailed analysis, an electricalmechanical coupling analysis is an effective method. Recently, 1D-computer-aided engineering (CAE) has been used to simulate and design multi-physics, multi-domain, and large-degree-of-freedom systems. This study focuses on the 1D-CAE technology. The application to an electrodynamic vibration speaker system (i.e., a typical electrical-mechanical coupling system) was considered. In particular, electrical power consumption was considered. First, a low-dimensional model of an electrical dynamic vibration speaker was derived using 1D-CAE. We determined the frequency-response function of the electro-dynamic vibration speaker based on the measurements of the input voltage and output acceleration. The frequency-response function contains distinct resonance peaks. Moreover, modal parameter identification equations were derived based on governing equation of the electricalmechanical coupling system and parameteric fitting was performed. Consequently, we obtained reasonable identified values. Additionally, the 1D-CAE simulations were performed using the identified parameters. 1D-CAE simulations were used to calculate the state variables in all terminals. Thus, electrical power consumption was estimated using the source voltage and current.