Indoor Air Quality and Occupancy Management

Description

We spend 90% of our lives in indoor environments - often in crowded spaces and without enough fresh air. Multiple scientific studies show that our cognitive performance and well-being are directly linked to indoor air quality (IAQ). Moreover, it has been shown that the risk of airborne disease transmission in closed spaces can be significantly reduced by ensuring good indoor air quality. Leading health authorities, such as the a Swiss National Covid-19 Science Taskforce, therefore recommend monitoring and controlling indoor CO2 levels to help prevent the spread of COVID19.

Airica takes care of occupant well-being by providing actionable, relevant and science-based insights on how to create healthier, safer and more productive indoor spaces. This fully-managed IoT solution leverages state-of-the-art machine learning to monitor indoor air quality and detect people’s presence in real-time.

It is a battery-powered and low-cost IoT solution, easy to install and gives to the users instant access to cloud-based analytics.

• Improve the cognitive ability of your employees
• Reduce the risk of infection and the number of sick days
• Prevent Sick Building Syndrome and improve human well-being
• Optimize space management and reduce costs through presence detection
• Comply with advanced green building standards such as LEED
• Save energy by creating a demand-controlled ventilation systems

Solution

Airica’s industrial grade sensors measure CO2, temperature, pressure, humidity, tVOC, PM1, 2.5, 4 and 10.

The data is streamed to the cloud using LoRaWAN® where it is analyzed by proprietary machine learning algorithms. Actionable recommendations about room health and space utilization are provided in a dashboard.
The generated insights can be directly integrated into third party systems (e.g. Slack or Outlook Calendar) via the Airica API. A real-time designer lamp gives direct feedback about indoor air quality to the occupants in the room.
Airica can also be used to retrofit and increase the efficiency of existing ventilation systems with demand-based control.

Application

1. Pre-configured sensors can be self-installed by the customer. No external power or device registration is required
2. The sensors continuously monitor indoor air quality (CO2, temperature, pressure, humidity and VOC) and room occupancy and then transmit the encrypted data via LoRaWAN® radio transmission to a pre-configured LoRaWAN® gateway within proximity.
3. All gateways listen for and receive sensor radio transmissions, and using a 4G backhaul the LoRaWAN® gateway forwards the encrypted data to the LORIOT Network Server.
4. The received encrypted data is authenticated, and the network server routes the data via an output API to our IoT platform on AWS.
5. The data is aggregated and analyzed by proprietary machine learning algorithms to provide actionable insights about room health and utilization in a visual dashboard.
6. Alerts and other third party integrations (e.g. Slack or Outlook & Google Calendar) can easily be configured through the Airica API.