Breathing quality indoor air is critical for good health. Humans spend a significant amount of time indoors—either in the home, office or other types of buildings—where gases, chemicals and other pollutants can cause headaches, eye irritation, allergies and fatigue. Serious pollutants can cause certain types of cancers and other long-term health complications.
The objectives of building automation are improved occupant comfort, efficient operation of building systems, reduction in energy consumption and operating costs, and improved life cycle of utilities.
This solution is a Healthy indoor environments system of smart commercial buildings using Masked Authenticated Messaging (MAM) of the IOTA protocol. Below I describe the versions:
- Indoor Air Quality Monitoring System v1: This project we monitor the quality of the air inside of a building. We simulate this project in a building that is located in Mexico City. This was a basic test using the DHT11 Humidity and Temperature sensor and the Raspberry Pi 3B board, Java Script code and the IOTA protocol.
- Indoor Air Quality Monitoring System v2: In this project we have used the DHT11, MQ-2 (LPG) and MQ-7 (CO) Sensors. On this occasion. we simulate capturing the data in a building localed in New York City, and we send this data using Arduino UNO and Raspberry Pi boards, to IOTA Tangle using Masked Authenticated Messaging (MAM). This was a practical and quick way to add more sensors. This version can be used in smart buildings and in industries where LP gas is used and where carbon monoxide is produced by fires.
- Garbage Monitoring System: The goal of this project is to take control of the garbage deposit in a smart building located in Berlin city. The accumulation of garbage, can produce bad smells of products in decomposition, but now we can know, how long has a trashboat with refuse and the percentage of this garbage.
Potential consumers: Smart buildings, shopping centers, industries, etc.