{"title":"A Review of IoT Based Smart Industrial System for Controlling and Monitoring","authors":"Prajakta Karemore, P. Jagtap","doi":"10.1109/ICCMC48092.2020.ICCMC-00012","DOIUrl":null,"url":null,"abstract":"In recent years, Industrial Control [IC] is emerging as a fundamental aspect to gather all the pertinent data, insights and information identified with different mechanical procedures, engines, machines, and gadgets utilized in industrial premises. This focuses on delivering controlled access, better efficiency and great aftereffects of the modern items being manufactured. In this new period of innovative research improvements in remote control and monitoring by means of correspondence methods, for example, ZigBee, RF, Infrared, systems have been generally utilized in industries. In any case, these remote correspondence strategies are commonly confined to basic applications on account of their moderate correspondence paces, separations, and information security. The recently proposed framework is evolving as the fundamental need of the industry for monitoring, control, security and wellbeing of various exercises. The monitoring framework incorporates sensors like fire sensor, smoke sensor, ultrasonic sensor, moisture and temperature sensor, current and voltage with Wi-Fi module for control operations. With the benefits of unusual exercises, reasonable activities will be activated. This framework can likewise be controlled by using remote server with application in PC/Laptop. This undertaking additionally incorporates facial recognition by utilizing an open CV to perceive the essence of the approved individual of the industry to sign in / log out and the subtleties will be put away in the database sheet or refreshed to cloud. On the off chance that, any invalid section or attempt to the break-in, immediately an alarm email will be sent to the particular approved authority/individual/group.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In recent years, Industrial Control [IC] is emerging as a fundamental aspect to gather all the pertinent data, insights and information identified with different mechanical procedures, engines, machines, and gadgets utilized in industrial premises. This focuses on delivering controlled access, better efficiency and great aftereffects of the modern items being manufactured. In this new period of innovative research improvements in remote control and monitoring by means of correspondence methods, for example, ZigBee, RF, Infrared, systems have been generally utilized in industries. In any case, these remote correspondence strategies are commonly confined to basic applications on account of their moderate correspondence paces, separations, and information security. The recently proposed framework is evolving as the fundamental need of the industry for monitoring, control, security and wellbeing of various exercises. The monitoring framework incorporates sensors like fire sensor, smoke sensor, ultrasonic sensor, moisture and temperature sensor, current and voltage with Wi-Fi module for control operations. With the benefits of unusual exercises, reasonable activities will be activated. This framework can likewise be controlled by using remote server with application in PC/Laptop. This undertaking additionally incorporates facial recognition by utilizing an open CV to perceive the essence of the approved individual of the industry to sign in / log out and the subtleties will be put away in the database sheet or refreshed to cloud. On the off chance that, any invalid section or attempt to the break-in, immediately an alarm email will be sent to the particular approved authority/individual/group.