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1. 发明专利

AU2021105401A4 INTELLIGENT DRUG QUALITY CONTROL ANALYSIS SYSTEM AND METHOD BASED ON MACHINE LEARNING 未知
公开(公告)号：AU2021105401A4
公开(公告)日：2021-11-11
申请号：AU2021105401
申请日：2021-08-12
申请人： BHAMBRI PANKAJ DR , DANGI RAVI RAI MR , DAS SANTANU DR , INDRA GAURAV DR , JAYASHREE RAJENDRAN MS , K KANNAN DR , M RAVINDER DR , MAHATO NIRANJAN , MARU SAURABH , PRIYA B KEERTHI , SHARMA JITENDRA K DR , SINHA DIVYANSHU , SRINIVAS AMEDAPU
发明人： DAS SANTANU , INDRA GAURAV , SRINIVAS AMEDAPU , SINHA DIVYANSHU , K KANNAN , JAYASHREE RAJENDRAN , M RAVINDER , PRIYA B KEERTHI , MARU SAURABH , SHARMA JITENDRA K , BHAMBRI PANKAJ , DANGI RAVI RAI , MAHATO NIRANJAN
IPC分类号： G16Y10/60 , G06N20/00 , G16B45/00 , G16H70/40 , G16Y40/20
摘要： INTELLIGENT DRUG QUALITY CONTROL ANALYSIS SYSTEM AND METHOD BASED ON MACHINE LEARNING The present invention is related to intelligent drug quality control analysis system and method based on machine learning. The objective of present invention is to solve the abnormalities presented in the prior art techniques related quality control of drugs during productions in automation based industries. Sensor Drugs monitoring Unit 0 /••••Machine learnng Module eami unit

2. 发明专利

AU2021100631A4 OPTIMIZATION OF SPECIFIC HEAT CONSUMPTION OF COKE OVEN BATTERY 未知
公开(公告)号：AU2021100631A4
公开(公告)日：2021-04-22
申请号：AU2021100631
申请日：2021-02-02
申请人： AGRAWAL HIMANSHU DR , JAIN JAINENDRA DR , MAHATO NIRANJAN MR
发明人： MAHATO NIRANJAN , AGRAWAL HIMANSHU , JAIN JAINENDRA
IPC分类号： C10B21/00 , C10B27/06 , C10B41/00
摘要： Abstract Steel industries play an important role in sustainable economic growth of a nation. It can be enhanced by developing and demonstrating advanced energy efficient technology and through adoption of world class energy efficient practices. Coke is an essential input for iron making process. Coke oven department plays a vital role in energy aspect in integrated steel plant where coke oven gas recovered during carbonization process which is used as fuel in coke making as well as in other department, therefore, optimization of specific heat consumption at coke oven will reduce the coke oven gas consumption, carbon emission as well as SOX, NOX and SPM. Theoretically the average value of specific heat consumption for the production of coke per kg of coal is 540kcal/kg. Practically this value ranges in-between 648-756 kcal/kg of coal. In this research work possible source of heat loss are tried to be identified and remedial solutions are suggested to minimize the loss of heat. SN Particular Existing Modified Monthly Saving Procedure Procedure 01 Coke Oven Gas /Nm 3 in Rs. 4.5 4.5 -- 02 Gas Flow Range Nm3/hour 14000-20000 11900-17000 1512000 03 Cost of Gas consumption / 63000-90000 53550-76500 6804000 hour 9720000 04 Carbon Emission in Nm 3 5880-8400 4998-7140 635040-907200 05 SOx Emission mg/Nm 3 200-400 170-340 21600-43200 06 NOx Emission mg/Nm 3 150-300 127.5-255 16200-32400 07 SPM Emission in mg/Nm 3 20-40 17-34 2160-4320 GAS FLOW CONSUME SPM COKE OVEN CARBON EMISSION GAS EMISSION NOx sox EMISSION EMISSION

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