It is essential to understand the quality of power being delivered to the industries that have equipment sensitive to power disturbances. Implementing IoT based power quality monitoring systems is a widespread practice in industries to prolong the process without any interruption. IoT based system looks very costly due to the data accumulation process which is carried over a long period requiring large data storage. Hence the paper proposes an intelligent power quality algorithm that alters data accumulation process more efficient by managing the power quality event data logging with pre-and-post value. The proposed system logs the drive’s mechanical quantities along with the power quality event data in Firebase cloud, which limits the space requirement and save time in analyzing the power quality events. Moreover, the power quality standards could be chosen by the end-users. Overall, the developed system is faster, economical and accurate and easier to operate, which can be used for many real-time applications.

必须了解向具有对电力干扰敏感的设备的行业提供的电力质量。实施基于IoT的电能质量监控系统是行业中的一种普遍做法，可以延长流程而不会造成任何干扰。基于IoT的系统看起来很昂贵，这是因为需要长期存储大量数据的数据累积过程。因此，本文提出了一种智能电能质量算法，该算法通过管理具有前后值的电能质量事件数据记录来更有效地改变数据累积过程。拟议的系统将驱动器的机械量以及电能质量事件数据记录在Firebase云中，这限制了空间需求并节省了分析电能质量事件的时间。此外，最终用户可以选择电能质量标准。总体而言，开发的系统更快，更经济，更准确，更易于操作，可用于许多实时应用。