We can provide
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Equipment health monitoring
Finsiot collects production equipment health parameters to help customers realize equipment status monitoring, fault diagnosis and warning, and make scientific operation and maintenance decisions.
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Power consumption monitoring
Distributed wireless sensor deployment enables real-time electricity consumption data visualization from regions to end devices, helping enterprises to comprehensively manage electricity consumption, reduce costs and improve operational efficiency.
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Self-powered and maintenance-free
Revominds, with the core technologies of "environmental energy harvesting" and "ultra-low power consumption", realizes self-powered products without the need for subsequent maintenance.
Make your assets smarter
Autonomous Wireless Vibration and temperature sensor
RevoMinds® Passive wireless temperature vibration sensor is a new type of data acquisition system. The sensor integrates three-axis acceleration monitoring and temperature detection to monitor the health status of equipment based on temperature and vibration parameters. Additionally, combined with Revominds's energy harvesting technology, the sensor supports both micro-light and thermal energy harvesting, using independently cascading energy harvesting modules.This allows the product to choose different energy harvesting modes in different environments, achieving self-sufficiency and zero maintenance throughout its entire lifecycle.
Autonomous wireless current sensor
RevoMinds® autonomous wireless current sensor (enhanced version) uses energy harvesting technology combined with a high-precision current detection structure and a multi-stage interference-resistant wireless transceiver system to provide users with wiring-free, maintenance-free condition monitoring of power-carrying equipment that meets strict safety regulations.
WHY CHOOSE US
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Technical leadership
By providing passive products without batteries to the market, we will help you stand out in the competition.
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Curtail costs
No wiring or battery replacement required, eliminating high deployment and maintenance costs.
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Eco-friendly
Maintain stable and reliable long-term operation of the product, without causing system risks due to power supply issues.
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Data abundance
The system can collect a large amount of data that others are difficult to collect, such as vibration, temperature, and current. Through machine learning, it can build a machine health status monitoring model.
Partners
Widely used in the fields of energy, mining, cement, and manufacturing