The solution needed to include:
The solution needed to include:
Additionally, the total system cost had to be lower than manual readings while offering extra advantages, such as eliminating human errors and increasing reading frequency.
Additionally, the total system cost had to be lower than manual readings while offering extra advantages, such as eliminating human errors and increasing reading frequency.
We designed a smart energy metering device optimized for manufacturing, assembly, battery life, and power consumption.
This device features an optical sensor that reads infrared pulses from energy meters—regardless of brand—and accesses internal records to capture all available data. It also monitors voltage presence to provide real-time outage alerts.
We designed a smart energy metering device optimized for manufacturing, assembly, battery life, and power consumption.
This device features an optical sensor that reads infrared pulses from energy meters—regardless of brand—and accesses internal records to capture all available data. It also monitors voltage presence to provide real-time outage alerts.
With this system, data collection increased from once per month to multiple times per hour, enabling demand forecasting, consumption profiling, and instant outage response.
The device integrates a LoRaWAN communication module, ensuring low-cost operation and efficient coverage. We also developed sensor variants compatible with different types of meters, expanding its use to industrial metering with various communication protocols.
With this system, data collection increased from once per month to multiple times per hour, enabling demand forecasting, consumption profiling, and instant outage response.
The device integrates a LoRaWAN communication module, ensuring low-cost operation and efficient coverage. We also developed sensor variants compatible with different types of meters, expanding its use to industrial metering with various communication protocols.
The benefits exceeded expectations. In addition to improved data accuracy and frequency, advanced analytics enabled early detection of energy losses, later confirmed and resolved by maintenance teams.
Key advantages of the solution:
