Designing a Smart Chemical Store with the Aid of the K-Means Algorithm

Daily dealing with chemicals, directly or indirectly, imposes a specific mechanism of knowledge that coincides with safe handling to reduce risk.This paper introduces an intelligent chemical storage system using the K-Means collection algorithm to improve the safe handling of chemicals and guarantee inventory management.The study aims to aggregate chemicals based on seasonal data variations and employ data collection, feature extraction, and collection techniques.The data set, designed at the Faculty of Chemical Engineering at the University of Technology, consists of different organic and inorganic chemicals stored in different containers.The system collects data on the weather conditions of the storage during summer and winter and captures changes that may affect chemical properties.Data preprocessing involves cleaning, minimization, and Scaler to ensure the integrity of the analysis.The optimal number of groups is determined using the Elbow Plot and Silhouette method, with the K-Means algorithm used for aggregation.The effectiveness of the system is verified by comparing the results with previous research, demonstrating its ability to enhance safety and efficiency in chemical storage management.It can be inferred from its ability to enhance and take the necessary measures promptly to maintain safety and efficiency in managing the storage of chemicals, and as a result, protect humans and the environment from the risks to which they may be exposed.