Cloud-Based Power Quality Analysis Engine for Microcontroller Offloading
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Solution Overview
Problem
Current power quality analyzers face challenges in managing large-scale distributed infrastructures due to increased IoT devices, requiring manual configuration and computation burdens on microcontrollers, which are not robust and efficient.
Innovation Solution
A cloud-based power quality analysis system with a smart breaker network, a cloud hub, data manager, and a power quality analysis engine that performs real-time data processing, auto-scaling, and provides end-user accessible results, reducing computational loads on microcontrollers and enabling efficient management of distributed systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mathematical computation is performed through embedded devices (microcontrollers), then power quality analysis can be conducted at the source, but the computational load on microcontrollers becomes excessive and they lack robustness for large-scale deployments
Solution Approach 1:
The patent extracts the complex mathematical computation functions from embedded microcontrollers and relocates them to cloud-based servers. The smart meters and circuit breakers only perform data collection and transmission, while the power quality analysis algorithms run remotely in the cloud, eliminating the computational burden on resource-constrained microcontrollers.
Solution Approach 2:
The patent introduces cloud-based servers as an intermediary between data collection devices and analysis tools. The cloud platform serves as a mediator that receives raw power quality data from multiple sources, performs centralized computation using sophisticated algorithms, and returns processed results, thereby decoupling the computational requirements from the embedded devices.
2Quantity of substance
If the number of connected IoT devices increases significantly, then more data can be collected for better analysis, but managing large-scale distributed infrastructures becomes very challenging and time-consuming
Solution Approach 1:
The patent merges the management of large numbers of distributed IoT devices into a single cloud-based platform. Instead of managing each smart meter and circuit breaker individually, the system consolidates device registration, configuration, firmware updates, and data collection into one centralized cloud interface, making infrastructure management scalable and efficient.
Solution Approach 2:
The cloud-based power quality analysis platform is designed as a universal system that can handle multiple functions: data collection from various device types, real-time monitoring, historical analysis, reporting, and system configuration. This multi-functional approach eliminates the need for separate management systems for different operations.
3Reliability
If manual management of large-scale distributed infrastructures is performed, then configuration and updates can be controlled, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent implements self-service capabilities in the cloud platform that automatically perform configuration management, firmware distribution, and system updates across all connected devices. The system autonomously handles routine management tasks without requiring manual intervention for each device, thereby maintaining configuration control while dramatically improving deployment efficiency.
Data Source
AI summary
A power quality analysis system includes a smart breaker network having a smart meter coupled to a load and structured to measure power quality parameters; a cloud including a hub that is coupled to the smart breaker network and structured to receive the power quality parameters from the one or more smart meters, a data manager structured to store data including at least the power quality parameters, a power quality analysis (PQA) algorithm structured to identify the power quality parameters to be measured and analyzed and define thresholds for the power quality parameters, and a PQA engine that is structured to read the power quality parameters and perform PQA of the power quality parameters based at least in part on the PQA algorithm; and an output device communicatively coupled to the cloud and structured to expose resultant data of the PQA to an end user.