Non-intruding power load monitoring system with self-learning function, and non-intruding power load monitoring system method

Abstract

The invention discloses a non-intruding power load monitoring system with a self-learning function, and a non-intruding power load monitoring system method. On the basis of a non-intruding power load monitoring technology system which does not have an electric appliance load feature database automatic protection function, the system is enabled to additionally have a non-modeling electric appliance load feature automatic generation function, can automatically detect a non-modeling electric appliance in a monitored power load, and automatically extracts the load feature parameters, so as to finally update the electric appliance load feature database of the non-intruding power load monitoring technology system. The system does not need a technician to maintain and update the electric appliance load feature database in a return visit manner, can guarantee that the monitoring performance of the system is not affected through timely updating the electric appliance load feature database when a non-modeling electric appliance is introduced in a power load, and also can improve the operation efficiency of the non-intruding power load monitoring technology system through saving the manpower cost.

Description

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AI Technical Summary

Benefits of technology

This patented innovation describes an improvement over current systems used by utilities who manually check out devices installed inside them during peak hours or reduce usage accordingly. These improvements improve overall device's ability to accurately measure its own loading capacity without requiring human interventions like adjusting settings or reinstallations. Additionally, these new methods allow for automatic learning from previous measurements while still being able to identify any issues related to older installments. Overall, this technology helps optimize resource allocation and reduces environmental impact associated with traditional ways of managing loads.

Problems solved by technology

Technologies aimed towards improving energy efficiency include both static and dynamic techniques. These methods involve measuring changes over time within different parts of the entire network without interrupting normal operations. However, these approaches have limitations due to factors like hardware design constraints and installation restrictions. There may also exist issues related to keeping track of power usage data accurately during periods where multiple devices operate together. Therefore, technical solutions involving non- invasively monitoring power utilization from various sources would provide better understanding of how well the overall performance of the power distribution unit's components remains consistently undergoing stressful situations while minimally interferring with other systems.

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