2020

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Energy Management and Event Detection in Heater System for Safety Application
(КПІ ім. Ігоря Сікорського, 2020) Okhmak, V. M.
In this article a method of analyzing and notification about an event in water heater is seen. Temperature, water flow and power consumption are main parameters for indication of alert data. For analyzing and the event detection data from the real-time measurement system is compared to the statistics from Influxdb, the temperature data was analyzed. The statistics in Influxdb is changing through the time by Moving Window function. The comparison of data from the realtime measurement system and Influxdb is performed with Gaussian distribution and applying of 3-sigma rule. Data which is indicated as not common and dangerous detects as the event. Information about the event detection is sent to the customer by email using Gmail service. As a result, the Gaussian distribution was built and the algorithm for the sending the message was written.