Novel Predictive Control and Monitoring System based on IoT for Evaluating Industrial Safety Measures
Priyadarshani Shivkumar Mali, Dankan Gowda, Hemant A. Tirmare, Varsha Amol Suryawanshi, Abhay Chaturvedi
Abstract
In this paper, the Accident Reduction Model (ARM) technique has been used to analyze different critical criteria in various industries. This ARM technique is used to determine the conclusions of the decision-making process. Valid data is obtained in the structure of the IoT with proper and consistent and useful information. The network address utility allows efficient sensor data. The necessary configuration procedure effectively monitors relevant sensor boundary values. Finally, we have ensured that the system will be able to provide dynamic performance in an IoT-based use of low-cost estimates and lower execution time.
Topics & Concepts
Computer scienceProcess (computing)Internet of ThingsControl (management)Reduction (mathematics)Reliability engineeringReal-time computingModel predictive controlData miningWireless sensor networkEmbedded systemEngineeringArtificial intelligenceComputer networkOperating systemGeometryMathematicsAnomaly Detection Techniques and ApplicationsSmart Grid Security and ResilienceFault Detection and Control Systems