Utilities & Facilities Managers
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IoTize AquaMeter transforms old mechnical meters to capture and transmit data efficiently, surely, with minimal energy consumption
AquaMeter add-on telemetry device seamlessly attaches to mechanical water meters. Using an image sensor and LPWAN technology, it reads the meter's display, extracts data, and transmits it wirelessly to a remote monitoring platform. The solution provides :
- Tamper-proof integration with mechanical meters
- Automatic dial analysis and data extraction
- Long-range, low-power data transmission
- NFC and app for on-site meter configuration and data retrieval
- Long-lasting battery ensures over 20 years of operation with minimal maintenance.
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How Does Image-based Telemetry Work ?
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Capture – The module's camera captures a photo of the meter display, with built-in LED lighting to ensure dial rendering that is adequate for data extraction. The frequency of captures can be configured to optimize battery life or increase reading frequency.
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Recognition – The device's onboard processor runs an energy-efficient algorithm to recognize the digits on the meter and transform these to easily transmittable data.
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Transmission – Data is transmitted via LPWAN via protocols that may include LoRa, Sigfox, or Wireless M-Bus. Aqua meter can be configured to manage certificates, data and messaging format for any private or public cloud platform you choose.
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NFC Interaction – On-site users can connect to AquaMeter using a dedicated smartphone app to configure and test the the device and report installation, paramters and location to the supervisory platform.
Why Use Image-based Telemetry ?
- Cost-Effective: Upgrade existing meters without costly replacements or service interruptions.
- Low Energy Consumption: Operates on ultra-low energy, ensuring over 20 years of life from a single lithium battery.
- Secure and Reliable: Image-based data capture ensures accurate readings, protecting against tampering or manipulation common in pulse-based systems.
- Easy Configuration: Use NFC on your smartphone to easily configure and manually collect data when needed.
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Mobile apps provide direct access to data and parameters to accelerate maintenance and reduce human errors.
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