VocalZoom announced the launch of its next-generation predictive maintenance sensors for the IIoT. VocalZoom’s sensors measure the vibrations emitted by industrial machinery to predict and prevent mechanical failures before they occur. Because they can monitor machine health without touching the equipment, VocalZoom claims its sensors cover a greater array of equipment and use cases than traditional predictive-maintenance solutions, without the factory downtime and deployment costs associated with most sensors.
The company touts that its sensors easily deploy on both new and old machinery, even when wet, hot, moving, hard-to-reach or too small for traditional sensors.
“The Industrial IoT is only as good as the sensors that monitor machine performance,” said Tal Bakish, CEO of VocalZoom. “Unfortunately, most IIoT sensors are built on technology that makes predictive maintenance solutions expensive and unreliable for a number of important use cases. Our vibration sensors represent the next generation of predictive maintenance solutions, offering better monitoring at lower cost for up to 70 percent of all industrial machinery.”
These patented vibration sensors use a SMLD (self-mixing-laser-diode) technology to measure the velocity, distance and vibrations of machines. Measuring 15mmX6mmX3mm, they fit into practically any configuration and geometry, and they operate at a distance up to three meters from the machine they are monitoring, according to VocalZoom.
“We believe data is the key for new and improved industrial IoT applications in a digitized era, and that vibration sensor provides the best data possible,” continued Bakish. “Our mission is to build the next generation of sensor technologies to serve a diverse range of markets, from oil and gas to automotive, consumer industries, medicine, and others.”