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In the medical sector everything revolves around precision, safety and efficiency. But why wouldn't that also apply to the way we use energy and regulate air quality in operating rooms? At sAInce.io we combine AI and IIoT in an innovative solution that not only saves energy, but also increases patient safety and drastically reduces CO2 emissions.
Our advanced AIoT solution adapts in real-time based on the number of people present in the operating room. This means optimal air quality, less energy waste and a drastic reduction in postoperative wound infections (POWIs).
Energy savings: Less energy consumption required for ventilation, heating, cooling, and air humidification and dehumidification in operating rooms, so less gas and electricity consumption.
Better air quality: Optimal conditions for both surgeon and patient, leading to higher safety, more comfort and better quality.
Fewer postoperative wound infections (POWIs): Thanks to a controlled, stable and guaranteed air flow, the risk of postoperative infections is drastically reduced.
Improved maintenance planning: Smarter maintenance strategies based on filter saturation and the economic breakpoint.
Major benefits for the environment: A significant reduction in CO2 emissions through more efficient use of energy and less waste.
The system consists of both customized hardware and software.
The heart of this innovation is our Smart IIoT Controller. This is not only the brain (AI models and PID control), but also the muscles of the system. It combines intelligent decisions with powerful control to ensure maximum efficiency and safety.
Measurements in the operating room: Under the plenum there is an air speed sensor that measures the speed with an accuracy of 0.01 m/s. In addition, various sensors measure essential parameters, such as: Differential pressure across the filters at the inlet and outlet, CO2 levels, Temperature and relative humidity.
AI-driven image analysis: In the operating room we have installed an IP camera with a dual image function: both optical and thermal. The Smart IIoT Controller analyzes these images and determines how many people are under the plenum. This is crucial because the more people there are under the plenum, the greater the risk of infections. The fans increase the air speed to minimize this risk of surgical site infections (SSIs).
Stable and fast control: The fans respond within 10 seconds to fluctuations in air speed of the air group, guaranteeing an extremely stable air flow. Even if the air group fails completely (no fresh air), the fans provide 100% of the air speed.
Smart day and night responses: Outside operating hours, the system reduces the ventilation regime and only maintains an overpressure over the filters. When switching to the daytime regime, the system increases the fan speed, so that the number of air changes is achieved more quickly. Once the nominal regime is reached, the system switches back to normal settings.
Automatic response to emergencies: If someone stands briefly under the plenum at night or during the weekend, the system detects this as a possible emergency. It then immediately increases the air speed to meet the required air changes as quickly as possible. This makes forgetting to switch on manually a thing of the past.
Predicting filter replacement: The system continuously monitors the differential pressure across the filters and can perfectly predict when these filters need to be replaced. At some point it makes economic sense to replace the filters so that an unnecessary amount of electricity is not used to push the air through. By accurately predicting this point, maintenance can be scheduled preventively, which saves both costs and energy.
Data storage in the cloud: All measurements are stored in our cloud system, so that we can gain further insights into this matter afterwards. This allows us to analyze trends, optimize performance and continuously innovate based on real data.
Integration with existing BMS and EMS systems: seamless integration with external BMS and EMS systems via Modbus.
Smart IIoT Controller: the control and monitoring of all critical parameters is carried out by our Smart IIoT Controller. See smart IIoT controller for more details.
Connect & play modules: these modules contain intelligence so that sensors can be connected in a plug & play mode, replaced by pre-calibrated sensors etc. See xxx for more details.
Digital sensors for efficient calibration: All sensors used in the system are fully digital. This means that no sensors need to be calibrated in-loop. These calibrations can take place completely off-site in laboratory conditions. By simply replacing sensors with pre-calibrated ones, no downtime is required for calibrations. This can be done at any time, for example in the evening, and replacement is also quick and easy. This ensures that more operating time is available for operating room staff on an annual basis, without affecting the quality or accuracy of the system.
This system is available in 3 modes of operation:
Basic: in this setup, fans are simply regulated according to a fixed regime
Sense: in this setup, fans are dynamically controlled according to the difference in air pressure
Sense+AI: in this setup, fans are dynamically controlled according to the number of people under the plenum