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1. 发明专利

AU2021102487A4 ARTIFICIAL INTELLIGENCE BASED SURVEILLANCE SYSTEM FOR OXYGEN CONCENTRATOR AT INVENTORY LEVEL 未知
公开(公告)号：AU2021102487A4
公开(公告)日：2021-07-01
申请号：AU2021102487
申请日：2021-05-12
申请人： TYAGI PRIYANKA , C D ANISHA , KUMAR ARUN , BANSAL NISHU , SAINI GARIMA , SHARMA DIVYA , RANA KAJOL , SINGH SURABHI , KUMAR BIJENDRA , AJAYBHAI SHAH CHINTAN , RAMKRISHNA BHOYAR SANJAY , VERMA SHANTI , CHANDRA PANDA RAMESH
发明人： TYAGI PRIYANKA , C D ANISHA , KUMAR ARUN , BANSAL NISHU , SAINI GARIMA , SHARMA DIVYA , RANA KAJOL , SINGH SURABHI , KUMAR BIJENDRA , AJAYBHAI SHAH CHINTAN , RAMKRISHNA BHOYAR SANJAY , VERMA SHANTI , CHANDRA PANDA RAMESH
IPC分类号： G05B19/042 , G05B23/02 , G06N20/00 , G06Q30/02 , G06Q50/22 , G08B17/10 , G08B17/12
摘要： ARTIFICIAL INTELLIGENCE BASED SURVEILLANCE SYSTEM FOR OXYGEN CONCENTRATOR AT INVENTORY LEVEL Abstract: Gas Leakage is the major problem prevalent in gas production and storage industry. High 02 Leakage may cause combustion. There is a need for regular monitoring in-order to prevent oxygen leakage. Artificial Intelligence (AI) incorporation at the surveillance system at the inventory level and production level can provide quick and faster responses to prevent and control leakage. The Al based surveillance system consists of Infrared camera to record video and send the video samples to the Al control system which includes division of frames/video sequences, feature extraction for providing meaningful information to the classifier, Deep Learning (DL) classifier. The DL classifier provides the classification as Gas or not Gas. The decision of prevention or control of 02 leakage is made based on the classification made by the DL classifier. The decision made by the DL classifier corresponds to the presence of gas, then an alarm signal is provided and the system is shut off. Otherwise, the decision made by the DL classifier corresponds to the absence of gas, then the monitoring report is sent to the inventory administrator through the cloud storage. The Al based surveillance system for oxygen concentrator helps to provide autonomous monitoring with less or no manual intervention. Keywords: Artificial Intelligence, Deep Learning classifier, Oxygen Concentrator, Infrared cameras. FLOW DIAGRAM: Al BASED 02 SURVEILLANCE CONTROL SYSTEM AD T D "A FEATURE SE3RCONVERSION EXTRACTION4 SEDSALAM SIGNAL IRS / ANDSIUmSSYSTEMI GAS r W m $ SEND 0 O~fr1UUN REPOWRSTO NO

2. 发明专利

AU2021102310A4 IoT BASED SUSTAINABLE INCINERATOR FOR BIOMEDICAL AND PHARMACEUTICAL WASTE 未知
公开(公告)号：AU2021102310A4
公开(公告)日：2021-06-17
申请号：AU2021102310
申请日：2021-05-01
申请人： BANSAL NISHU , CHANDRA PANDA RAMESH , DAHIYA SAURABH , GANDHI SACHEEN , LOHANA SARIKA , PAHUJA SWIMPY , RINKAL MANSUKHBHAI SARDHARA , SAHOO NIRANJAN , SAINI GARIMA , TYAGI PRIYANKA , VIRMANI TARUN
发明人： CHANDRA PANDA RAMESH , VIRMANI TARUN , LOHANA SARIKA , SAHOO NIRANJAN , TYAGI PRIYANKA , DAHIYA SAURABH , GANDHI SACHEEN , BANSAL NISHU , PAHUJA SWIMPY , SAINI GARIMA , RINKAL MANSUKHBHAI SARDHARA
IPC分类号： F23G5/50 , B09B3/00 , F23G7/00 , F24S20/30 , F24S23/71 , G08C17/02 , H04Q9/00 , H04W4/38
摘要： IoT BASED SUSTAINABLE INCINERATOR FOR BIOMEDICAL AND PHARMACEUTICAL WASTE Abstract: The accumulation of unused and expired medicines at homes has significantly enlarged in recent years, which has brought about medicines wastage. The general population, medical care suppliers, and governments are completely blamed for unexpectedly advancing medicine wastage, and hence, they should be focused to take care of the issue. Nonsteroidal anti inflammatory drugs such as paracetamol, aspirin, ibuprofen are some of the most commonly wasted medicines and the majority of the public simply discard their unused and expired medicines in the garbage or toilet which can harm aquatic life and dangerous for the environment also. Non-adherence, death of a person taking medicines, and change in medicines of a particular person is the main reason behind the accumulation of unused and expired medicines which ultimately lead to the wastage of medicines. There are various reasons behind the accumulation of unused and expired medicines at homes such as carelessness, lack of education, and ignorance by the community that may prompt un favourable monetary and natural effects. There are many ways by which we can safely dispose of unused and expired medicines such as chemical disinfection, microwaving, autoclaving, secure landfilling, deep burial, sewer treatment, waste encapsulation, waste immobilization, and incineration or thermal treatment. Out of the above-mentioned techniques, the incinerator is considered as one of the most effective methods for the disposal of solid, liquid as well as gaseous pharmaceutical and biomedical waste. But there are few limitations with the incinerator technique such as high voltage electricity consumption, management of ash and gases produced after incineration. The main aim of the study is to design a novel sustainable incinerator that can overcome the limitations associated with conventional incinerators such as consumption of high voltage, production of ash and gases. Installation of solar panels can reduce the electricity workload which may lead to sustainability, gases produced during incineration can be minimized by using high-efficiency particulate air filters and carbon filters. Besides this, during incineration, if there will be incomplete combustion of biomedical and pharmaceutical waste then it may be utilized in terms of alternate biofuels. Joint work among general society, medical services suppliers, and different administrative and private associations is expected to sufficiently address the issue of drug wastage. Figure: IoT based automatic control of Solar furnace

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