Non-intrusive load sensing intelligent electric meter fault judgment method and system

Abstract

The invention provides a non-intrusive load sensing intelligent electric meter fault judgment method and system. The method comprises the following steps: acquiring the total load power of a non-intrusive load sensing intelligent electric meter and the measured electric quantity k of the electric meter in a period T; decomposing the total load power to obtain power-time distribution data in a period T; determining reference power w according to historical data, dividing power wi by the reference power w to obtain normalized power time distribution data, calculating normalized total energy consumption, comparing total energy consumption p with historical energy consumption p to obtain energy consumption variable quantity rp, comparing electricity meter measurement electricity quantity k with historical electricity meter measurement electricity quantity k to obtain electricity quantity data variable quantity rk, and comparing rp with rk, if the difference is greater than a threshold value, indicating that the ammeter has a fault. The problem that whether the intelligent electric meter is abnormal cannot be efficiently confirmed can be solved.

Description

technical field [0001] The invention relates to the field of electric meter fault detection, in particular to a non-invasive load-sensing smart electric meter fault judgment method and system. Background technique [0002] At present, smart meters have gradually become popular, but the main structure of the meter is still composed of a voltage coil, a current coil, a turntable, a rotating shaft, a brake magnet, gears, and a counter. Inaccurate question. For example, the internal resistance decreases due to the breakdown of the components in the ammeter, the ammeter runs too fast, the aging of the ammeter components causes the internal resistance to increase, the ammeter runs too slowly, or the user accidentally changes the electromagnetic environment around the ammeter, resulting in metering Not ready to wait. [0003] The current solution is usually that residents find abnormal household electricity consumption, and the power supply department conducts on-site inspections...

AI Technical Summary

Problems solved by technology

However, these detection methods have inaccurate problems. For example, the addition of high-power electrical appliances leads to a sharp increase in power consumption, and the owner is on a business trip, which leads to a sharp drop in power consumption. If these abnormalities in power consumption are detected on the spot, the workload of the power supply department greatly increase

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