Building electrical system abnormity sensing and monitoring system based on artificial intelligence

Abstract

The invention relates to the technical field of building electrical anomaly monitoring, and discloses a building electrical system anomaly sensing and monitoring system based on artificial intelligence, which comprises the following steps: calculating the electricity consumption fluctuation quantity of each power distribution output port based on historical electricity consumption power and current electricity consumption power; a control variable operation is applied to each priority detection port, and electric power changes of other power distribution output ports are monitored in real time so as to identify an abnormal main control point; calculating an influence weight between the abnormal main control point and the power distribution output port, and establishing an abnormal propagation path model; calculating a comprehensive score for each power distribution output port by combining the power consumption fluctuation quantity, the influence weight and the historical use record; operating the abnormal main control point according to the comprehensive score to reduce the influence of the abnormal main control point on the operation of the electrical system; and the comprehensive score of each power distribution output port is adjusted in real time, and the response control module is iteratively optimized according to the power consumption fluctuation quantity of each power distribution output port, so that the stability and continuity of power supply are ensured.

Images