Parameters:

• Respiratory Suspended Particulate Matter (PM2.5) – RSPM

• Suspended Particulate Matter (PM10) – SPM

• Carbon Monoxide (CO)

• Carbon Dioxide (CO2)

• Sulfur Dioxide (SO2)

• Nitrogen Dioxide (NO2)

• Nitrogen Oxide (NO)

• Ozone (O3)

• Hydrogen Sulfide (H2S)

• Temperature

• Humidity

Features:

• Low energy footprint, low-cost multi-sensing APMD is equipped to monitor ten environmental parameters

• The power control feature in the particulate matter sensor and the strategic use of the switching module in APMD make it ahead state of the art in power consumption aspects

• APMD is self-sustainable using a 2 Watt solar panel and 3.7 V Li-Ion battery

• In low sunlight seasons like rainy or foggy days, APMD can sustain up to 15 days using the on-board energy storage without solar power

• APMD can send data using Wi-Fi and/or NB-IoT depending on the availability of the network. The data could be stored in the cloud as well as locally in the flash memory available on-board

• The smart sensing algorithm in APMD makes it more energy-efficient by intelligently turning ON/OFF different sensors

• The in-field auto-calibration feature in APMD enables the sensors to recalibrate on their own without any requirement of bringing to the lab

• The small form factor () of APMD is very convenient to deploy outdoor

• Design customization and integration for control/actuation are possible as per the industrial or commercial needs

Parameters:

The data-smart energy meter collects all the electrical parameters to provide the following:

• Instant profile of all the electrical parameters

• Monthly billing profile

• Daily data profile

• Periodic and event-driven  push data

• On-demand block load profile

• Automatic connect/disconnect of powerline 

Features:

• Proprietary data pruning algorithm reduces the transmission energy as well as communication bandwidth and provides a feasibility to sporadically transmit data from the meter

• Massive deployment and connectivity are enabled with low energy and data footprints

• Very low data footprint enables usage of low-rate 5G IoT connectivity for data transmission from the meters to the central server 

• The data-smart energy meter is DLMS compliant for communication with the Head End System (HES)

• Enables data-driven advanced analytics, such as, appliance health monitoring, real-time power grid load balancing, and user-level real-time power usage adaptation

• This Advanced Metering Infrastructure (AMI) capability adds very minimal monetary cost

• Design and pruning algorithms are customizable as per the industrial data logging and actuation contexts in wide-ranging IIoT applications