Electrical apparatus setting method and electronic device
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Solution Overview
Problem
Existing electrical apparatuses in factories often operate with varying energy efficiencies, leading to power waste and inefficiency, as setting parameters are not optimized for energy conservation, relying on subjective human expertise.
Innovation Solution
Establishing an apparatus power consumption prediction model using machine learning to predict energy efficiency based on adjustable setting parameters, determining optimal settings to minimize power consumption and improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If professional apparatus personnel manually adjust apparatus parameters based on subjective experience, then some energy conservation can be achieved, but it is difficult to optimize multiple electrical apparatuses effectively and power waste continues
Solution Approach 1:
The system enables electrical apparatus to automatically adjust its own parameters by collecting operation information, establishing power consumption prediction models, and autonomously determining optimal settings without requiring manual intervention from professional personnel
Solution Approach 2:
The patent replaces the manual mechanical adjustment process with an automated computational system that uses machine learning models and algorithms to predict power consumption and determine optimal parameters, substituting human expertise with an intelligent system
2Productivity
If apparatus parameters are not optimized, then operation is simple, but energy efficiency is low and power is wasted
Solution Approach 1:
The system systematically varies and evaluates different parameter settings for electrical apparatuses, using prediction models to assess power consumption at different parameter values and selecting optimal configurations that maximize energy efficiency
Solution Approach 2:
The patent introduces a power consumption prediction model as an intermediary between the electrical apparatus and the control system, which computationally evaluates different parameter scenarios and recommends optimal settings without requiring direct complex experimentation
3Loss of energy
If multiple electrical apparatuses are operated without systematic optimization, then operation is straightforward, but power cost increases
Solution Approach 1:
The system continuously collects operation information from electrical apparatuses, feeds this data into prediction models, and uses the model outputs to automatically adjust parameters, creating a closed-loop feedback system that continuously optimizes power consumption
Solution Approach 2:
The patent establishes power consumption prediction models in advance that can predict the impact of different parameter settings before actual operation, allowing the system to pre-determine optimal parameters and avoid trial-and-error adjustments
Data Source
AI summary
An electrical apparatus setting method and an electronic device are provided. The method includes the following steps. Apparatus operation information of multiple electrical apparatuses is obtained. An apparatus power consumption prediction model of each electrical apparatus is established according to the apparatus operation information of the electrical apparatuses. Multiple input feature variables of the apparatus power consumption prediction model of each electrical apparatus include an adjustable setting parameter of each electrical apparatus. The adjustable setting parameter is set as multiple setting values, and the apparatus power consumption prediction model of each electrical apparatus is used to obtain multiple apparatus energy efficiencies respectively corresponding to the setting values. A decision parameter value of the adjustable setting parameter is determined by comparing the apparatus energy efficiencies of each electrical apparatus. The electrical apparatuses are controlled according to the decision parameter value.