ROHM announces the availability of an ultra-compact high accuracy seismic detection sensor module, BP3901, which is ideal for applications requiring reliable earthquake detection, such as automatic doors, unmanned transport vehicles, and smart meters.
Functions for accurately detecting vibration when an earthquake occurs and for stopping operation of equipment have garnered increased interest to prevent secondary disasters caused by fires and other factors in the aftermath of an earthquake. Similar functions to quickly detect damage conditions and assist with early recovery are also demanded in various infrastructures such as buildings and roads. However, mechanical earthquake detectors can only detect the presence/absence of vibration, and cannot distinguish whether the vibration is due to an actual earthquake or to other external factors, which often results in false positives.
In response, ROHM developed an ultra-compact (11.8 x 8.6 x 2.5 mm) BP3901 that integrates an original earthquake detection algorithm and offers high accuracy. In addition, a false detection prevention function is built in and it is capable of accurately distinguishing between vibration due to earthquakes or other external factors. It also has an angle correction function (±15° allowable mounting angle) that can correct for unintentional tilt of the module, further improving detection accuracy.
ROHM will continue to develop algorithms optimized for different vibration detection and expand its sensor module lineup. We will also offer total solutions for customer applications that contribute to greater safety and convenience by leveraging wireless technologies, such as Wi-SUN that is optimized for smart meter networks.
1. Enables high Accuracy Earthquake Detection in a Compact Module Form Factor
The BP3901 incorporates a 3-axis accelerometer (from ROHM Group company Kionix) in a compact 11.8 x 8.6 x 2.5mm module package. ROHM developed a unique algorithm focused on determining SI (Spectrum Intensity) values. This algorithm features a high correlation with measured seismic intensity data used for earthquake damage assessment while it also optimizes the digital signal processing of acceleration data and calculation parameters/sequence through analysis of measured excitation data. This makes it possible to accurately measure the seismic level, enabling more precise earthquake detection compared with conventional mechanical sensors.