The Industry’s First Accelerometer with Built-In Noise Filtering Function

Provides flexible support for machine condition monitoring of industrial equipment

Ithaca, New York, USA, Dec. 12, 2019 (GLOBE NEWSWIRE) -- ROHM Group company Kionix recently announced the availability of an accelerometer ideal for high accuracy, low power motion sensing applications in the industrial equipment and consumer wearable markets.

In recent years, as factories have begun to save labor costs and increase efficiency, the concept of predictive maintenance for detecting abnormalities before equipment malfunctions has gained broad acceptance. This has increased the need for machine health monitoring along using sensors to detect equipment conditions (i.e. motor vibration).  

The KX134-1211 is a 3-axis accelerometer optimized for machine condition monitoring. Advanced Data Path (ADP) technology allows noise filtering and sensor signal processing normally carried out by the MCU to be performed by the accelerometer. They contribute to reducing MCU load and power consumption together with improved application performance. In addition, to meet industrial requirements, the sensing frequency and acceleration detection ranges have been increased to 8,500Hz and ±64g, respectively, while supporting operating temperatures up to 105°C. At the same time, the sensor itself consumes less than half the current (0.67μA in low power mode) compared to conventional products. Additional features include Wake Up and Back to Sleep functions that contribute to lower power consumption, enabling sensing operation in battery-equipped wearable devices. 

A leading supplier of compact accelerometers, Kionix is responding to market needs by developing products for the industrial sector. Kionix will continue to contribute to a growing IoT society by expanding its sensor lineup featuring high accuracy and low power consumption.

Availability: Now 

Key Features

1. Original ADP (Advanced Data Pass) technology reduces MCU load

ADP is Kionix’s new function that replaces the filtering function of conventional MCUs. Specifically, multiple customizable frequency filters built into the sensor eliminate unnecessary noise signals by employing a versatile configuration that extracts only the necessary signals. Each filter can be switched ON and OFF, providing flexible operation. Frequency filtering and signal power calculation (root mean square calculation) conventionally carried out by a host MCU can now be performed on sensor side, reducing MCU load and associated power consumption.