•During transfer of of liquid medical oxygen to many tanks installed in hospital, the hose pipe (connecting hose) is connected to input of tanks and transfer of LMO is
done. Thereafter, the connection is removed and connected to another tank, then
one after another.
During the engagement and disengagement of connection pipe every time, the leakage takes place
- At the smaller scale sometimes due to improper fixing of the oxygen mask on the face, the oxygen is not properly utilized to support the patient's needs. If the mask is not properly fixed on the face, some amount of oxygen is not inhaled by the patient and it is gone as waste. To compensate for the need of the patient, the flow rate of oxygen is increased which further increases the wastage of oxygen.
•Proposed is the design of a Low Cost - High Sensitivity Acoustic Camera . This setup will be able to detect Oxygen Leakage Hotspot while the patient is sleeping with the oxygen mask on as improper fixing of oxygen mask on face is a reason for oxygen wastage .
•The idea struck on noticing that the household gas cylinder while leaking made a ‘Hissing’ sound which was quite low but still audible to me and I inferred that if the leakage is too low it would at least generate an ultrasonic noise source that is distinguishable from mechanical noise sources. This brought the idea of designing an acoustic camera that can be used to detect these noise sources by increasing the number of microphones and creating an array of them and then multiple layers of such an array of microphones to capture the leakage. The aim was thus to make the leakage (sound of leakage) visible through the coordination of camera and microphone .
•To capture this a used Dish Antenna like frame was used to place the large microphones in a manner to create a web of microphones increasing the sensitivity due to its concave shape as well.
•The setup here consists of a camera, for capturing an image, a group of digital microphones ,and a Raspberry Pi Model 3 to read data from the digital microphones simultaneously and then transfer the data to PC for post processing Delay and sum beamforming is implemented in this design.
Besides the sound factor , we plan on to utilizing factors like :
•Concentration of air around Nodal Points(Leakage would mean over 80-90% of O₂ Concentration .
•The temperature of O₂ being lesser than Room Temperature can serve as a factor for detecting the leakage.
•The government and private hospitals can use this device for surveillance but connecting the data onto a cloud platform and monitor the patient ward by placing the device on a fan-like rotating stand.
•For people giving home care to patients , this device can help them in monitoring their masks at home where we can provide rental services for the device to be used at home
•Logistics companies transferring liquid medical oxygen can use the device in tackling the leakages .
•Oxygen Plants can utilize the detection in operating better while transferring the oxygen
In the current pandemic , innovation is what is required to tackle the different challenges in front of the nation and the biggest of them till today is the oxygen crisis.
In such situations, minimizing the wastage is equally important and that can be implemented only by early detection of leakage .The project can detect this with its highly increased sensitivity due to the array of microphones and camera attached making the leakage of gas , visible to us.
Immediate usage of the device in hospital can be done for the time being.