Smart Chemical Material Store System Using IOT and Raspberry PI

Abstract

Within the period of savvy innovation, the administration of chemical capacity postures critical challenges, especially in guaranteeing security and natural compliance. This paper plan and usage of a keen chemical capacity framework utilizing Raspberry PI presents an imaginative arrangement to this squeezing issue by leveraging the capabilities of Raspberry PI4 and the Web of Things (WoT) innovation. This investigate expresses the advancement and sending of a exceedingly productive, cost-effective shrewd chemical capacity framework outlined to optimize security, energy saving and protecting the internal and external environment of the store from air pollution. By coordination sensors for identifying different chemical gasses, temperature, mugginess, and pH levels, washing column, the framework gives real-time information examination, guaranteeing a responsive and energetic approach to chemical capacity administration. The Raspberry PI4 serves as the central handling unit, coordinating information procurement, processing, and decision-making forms to preserve ideal capacity conditions and preemptively address potential risks. Through the utilization of K-Means Calculation for information investigation, the framework illustrates extraordinary capability in recognizing and cautioning to dangerous conditions, in this way essentially decreasing the hazard of chemical mischances and processed. The usage exhibits a versatile, versatile system that obliges the expansion of different sensors and gadgets, encouraging a comprehensive observing arrangement custom-made to the particular needs of chemical capacity offices. This investigate not only contributes to the field of chemical security but moreover sets a point of reference for the application of savvy advances in mechanical security administration, advertising experiences and techniques that can be adjusted over assorted segments.

Keywords

• Chemical Materials, Sensors, K-Means Algorithm, Smart Storage System, Raspberry PI4B