In this post, you’ll discover the three new smart indices for indoor air quality that we’ve added to WiInspire , OdinS’ IoT device for advanced indoor space monitoring. These include the CO₂ Risk Indicator , a predictive metric that determines the likelihood of exceeding healthy CO₂ levels; the Environmental Wellbeing Index , a composite indicator of environmental comfort; and the Presence Indicator , a technology that detects actual occupancy using CO₂ levels instead of motion sensors.
These indices allow action to be taken before a problem arises, systems to be automated, and comfort and energy efficiency to be improved in offices, shops, educational centers, sports centers and, ultimately, in a wide variety of enclosed spaces with high foot traffic.
Why does indoor air quality need intelligence?
Traditionally, measuring temperature, humidity, and carbon dioxide levels was used to detect suboptimal conditions in enclosed spaces. But that approach is reactive : action is taken after the values are already out of range.
Today, thanks to advances in ambient intelligence, it’s possible to move from measurement to prediction, and from manual interpretation to intelligent automation. That’s the vision behind WiInspire, the OdinS system that not only measures, but also understands, anticipates, and acts.
1. CO₂ Risk Indicator: Advanced prediction of environmental risk
The CO2 Risk Indicator is much more than a measurement. It is a predictive metric that estimates the probability of the carbon dioxide level exceeding 1000 PPM in the next 6 hours.
How does it work
The CO₂ Risk Indicator uses a unique approach that analyzes how air behaves in each space and learns from that behavior. It doesn’t rely on generic formulas, but rather automatically adapts its calculations based on the actual use of the space.
- First, the usual changes in CO₂ are observed at different times of the day.
- The system identifies recurring patterns: times of increased activity, moments of natural ventilation, typical peaks, etc.
- Based on these patterns, the application is able to summarize the typical behavior of the air in that environment and predict the evolution of CO2 for the next few hours.
This way, you can act before the problem arises, maintaining good air quality without complications.
Key advantages
- Proactive anticipation : ideal for activating ventilation before a problem arises.
- Simpler decision : a single number instead of interpreting multiple graphs.
- Better energy planning : unnecessary ventilation is avoided when there is no risk.
This index makes WiInspire an active prevention tool, not just a measurement tool.
Environmental Wellbeing Index: simplified environmental wellbeing
The Environmental Wellbeing Index summarizes the comfort level of an indoor space in a single value. It is not based solely on temperature: it combines several environmental parameters and interprets them together to provide a clear and direct reading of the environment’s condition.
Instead of displaying isolated figures, the system analyzes how factors such as temperature, humidity, and air quality relate to one another. From this analysis, it extracts a single value that represents overall well-being, saving the user from having to interpret complex data.
The actual operation uses its own method capable of recognizing intermediate situations—neither perfect nor problematic—and translating them into an easy-to-understand index. This allows it to reflect real-world environmental sensations without the need for formulas or mathematical processes.
Key benefits
- Reduced cognitive load : you no longer have to compare three graphs at once.
- Greater usability : even a non-technical user can understand if the space is “okay”.
- Applicable to automations : the index can be linked to climate control systems or alerts.
3. Presence Indicator: actual occupancy without motion sensors
Detecting actual presence in a space isn’t always easy. Traditional motion sensors have a critical limitation: they don’t detect people sitting or standing still. This is a problem in offices, meeting rooms, or libraries, where it’s necessary to detect actual presence, not just movement.
Instead of relying on movement, the system analyzes how the environment of the space changes when people are present and when they are not. From these variations, which are different in each room, it identifies patterns that allow it to estimate whether a space is occupied at that moment.
Over time, the indicator learns the typical behavior of each environment and improves its accuracy, offering more realistic detection than traditional methods.
The result is a continuous estimate that indicates whether a space has a human presence or not, even in situations where other sensors fail.
Key advantages
- More realistic detection : ideal for workspaces where activity is static.
- Greater energy efficiency : activates ventilation, air conditioning or lights only when there is actual presence.
- Room customization : each model adapts to the specific usage patterns of the space.
A comprehensive solution for smarter spaces
With these three indices, WiInspire not only measures, but also interprets and anticipates . This allows buildings, educational centers, or administrative environments to:
- Prevent risks of poor air quality.
- Improve the user experience.
- Reduce energy consumption.
- Make informed decisions in real time.
More intelligence, less uncertainty
WiInspire’s new indices represent a clear commitment to automating indoor air quality and taking environmental management to the next level. They not only measure but also predict, simplify, and adapt the environment to make spaces healthier, more comfortable, and more efficient.
Contact us:
- www.odins.es
- info@odins.es
