Enviornmental Resilience IOT Sensing and Decision Support
How it Works
SweetSense’s Resilience IOT technologies support proactive environmental resource management with and among communities globally. We focus on developing decision support information to enable early interventions and proactive management in the agricultural, water and energy sectors. Our technology leverages a range of in-situ and geospatial data sources to provide data analytics for integrated environmental resources management.
SweetSense combines a variety of accessory sensors with satellite connectivity. We can monitor water use, conservation and quality; air quality; agricultural productivity; electricity consumption and other parameters to improve environmental conservation, energy efficiency and climate resilience. Accessory sensors include low and self-powered EnOcean transmitters, including custom designs and off-the-shelf products from other vendors.
Sensor data is transmitted to a cloud-based machine learning analysis platform for local and regional scale decision support.
Sensing Innovation - In-Situ Remotely Reporting Tryptophan-Like Fluorescence Sensors for Fecal Exposure Detection in Drinking Water
Low-cost, field-deployable, near-time methods for assessing water quality have not before been available when and where waterborne infection risks are greatest. SweetSense has developed a novel device for the measurement of tryptophan-like fluorescence (TLF), making use of recent advances in deep-ultraviolet light emitting diodes (UV-LEDs) and sensitive semiconductor photodiodes and photomultipliers. TLF is an emerging indicator of water quality that is associated with members of the coliform group of bacteria and therefore potential fecal contamination. Our technology is capable of detecting TLF levels corresponding to “high risk” fecal contamination levels (> 10 CFU/100 mL) in-situ, with remote reporting to alert water system operators.
Climate change is exacerbating and accelerating environmental damage and economic stress globally. The World Health Organization projects over 250,000 additional deaths each year between 2030 and 2050 because of increases in heat waves, diarrhea, malaria, and crop failure. 100 million people could be pushed back into poverty by 2030 because of climate change. The current 20 year megadrought throughout the western United States is the worst in more than 500 years and is intensifying social and economic stressors. Today, two billion people live with chronic high water stress, and four billion experience water stress at least one month a year. One-third of agricultural soils globally are degraded, and two billion people face food insecurity. The United States remains the world’s largest emitter of carbon per capita, while global energy use continues to grow. SweetSense enables action toward global environmental resilience.
- Low Power Texas Instruments MSP432P401R ARM Cortex M4
- 256KB Flash
- 64KB RAM
- TI-RTOS / Simplelink based firmware
- Field upgradeable
- Remotely configurable sampling and transmitting rates
- Supports new wireless sensors without reconfiguration
- Uplink via Swarm satellite network
- 66 Low Earth Orbit 1/4U Satellites
- 137-138 MHz (downlink) 148-150 MHz (uplink)
- 150KB/mo. data plan
- Local wireless via Enocean
- 900MHz ISM band
- Supports up to 25 Ultra-low power energy harvesting devices
- 30m range
- SDI-12 multiple sensor input port
- Serial debug and programming port
- 64Mb flash sensor data storage
- Temperature and humidity logging
- OLED diagnostic and setup interface
- Battery state of charge monitoring
- 10.2Ah Protected Lithium Ion rechargeable energy storage
- Powers device in active mode for one month before recharging
- 6 Watt rugged solar panel for fast charging
- IP67 Waterproof rugged enclosure
- Stainless steel mounting bracket
- Compatible with industry standard Band-It mounting hardware
- Versatile bolt hole pattern for mounting in a wide variety of orientations
Waterwheel Database and API
WaterWheel is modern Python backend built using Django, the same framework that powers Instagram, Spotify, YouTube, Dropbox, and Pinterest.
- Django web app
- Postgres database
- Django REST API
- Containerized using Docker
- Deployed using AWS Elastic Beanstalk
- Can scale to 1M+ gateways
Waterwheel is currently storing and analyzing over 500,000 waterpump-days of data.
Big Data Meets Global Development
Imagine a website where anyone, including the beneficiaries, anywhere in the world can virtually visit a project site of an aid agency and examine, in near real-time, program performance. This may include the adoption rates of water filters, or the usage of handwashing stations, or the indoor air quality where improved stoves have been deployed. Users can also look at a graph that compares any of those figures with results from six months or a year ago, or with households or communities in the same area that have not received the intervention.