Converts energy from the environment into electricity to charge the internal battery. VP3 provides power to IoT devices and wireless devices for up to 20 years.
Sensor lifespan of up to 20 years*. Power generation of up to 10mW with vibrations below 1G. Compact size (diameter 54mm × height 42mm). Power handling compatible with all wireless technologies: - Low current devices (BLE, ZigBee, LoRa, Sigfox, NB-IoT) - High current operation (WiFi, mobile phones) Plug and play: - Easy integration with existing equipment outputs - No conditioning circuit required - Durable and waterproof IP67 enclosure - Operating temperature range: -20 to +85℃
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basic information
Various sensors required power supply wires or batteries. With this product, you can eliminate batteries and power wiring. Due to installation costs, it is now possible to add monitoring functions to places and objects that were previously impossible. Regardless of the sensing application, the biggest challenge for wireless sensors is power supply. Replacing batteries every few years has been a maintenance headache. It can be said that this is the biggest challenge for the implementation of next-generation systems in the future. Xidas IoT's battery solution solves everything. There is no longer a need to replace batteries in wireless IoT devices.
Price information
The price varies depending on the quantity.
Price range
P1
Delivery Time
P4
Applications/Examples of results
It is used as an alternative to batteries for wireless IoT. A large market is in the field of predictive maintenance. Xidas has announced the industry's first vibration energy harvesting technology, "VP3," which can generate permanent power for wireless sensors used to monitor the operational status of vibrating machinery by recovering vibrational energy. This cutting-edge generator enables predictive maintenance applications in locations that were previously impossible. Environmental energy generation from vibrations has been very expensive, and the system costs have not been feasible until now. Moreover, there has not been enough power generation to operate IoT devices. Monitoring the condition of industrial machinery and infrastructure is a preventive approach that involves labor-intensive regular inspections of machinery. Unnecessary preventive replacements and repairs due to sudden failures incur significant costs. Transitioning to predictive maintenance (industrial IoT machine condition monitoring) solutions requires the use of wireless sensors to continuously send the condition (data) of all machinery in plants, etc., to the cloud, and to analyze (predict) using machine learning.
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In the world of microtechnology, the evolution of IoT has created demand, and the enduring semiconductor MEMS industry has begun to face design limitations. Professor Mark Bachman from the University of California, Irvine (UCI) has invented more innovative solutions through 20 years of developing miniaturized mechanical technology. With a vision to spread this technology worldwide, Professor Bachman teamed up with industry entrepreneur Paul Dillon and former Cadence and AWR president James Spott to establish Integra Devices (now Xidas) on the UCI campus.