基于人工智能的打印机能耗优化控制系统及方法

By dynamically adjusting the working mode of the laser printer through an artificial intelligence system, the problems of extensive energy consumption management and lack of intelligence in task scheduling in existing technologies have been solved, realizing refined energy consumption management and efficient task processing of laser printers.

CN120848825BActive Publication Date: 2026-07-17JHF TECH GRP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JHF TECH GRP CO LTD
Filing Date
2025-07-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing laser printers lack dynamic correlation between environmental parameters and task priorities in energy management, which makes it impossible for the equipment to predict future task load and environmental changes, resulting in delayed switching of working modes, increased energy consumption and equipment burden.

Method used

An AI-based printer energy consumption optimization and control system is adopted. Through multi-source data acquisition, environmental comfort index calculation, and LSTM prediction model, the system dynamically adjusts the equipment status, prioritizes high-priority tasks, and allocates low-priority tasks to appropriate time periods to reduce unnecessary energy consumption.

Benefits of technology

It enables refined management of laser printer energy consumption, reduces energy consumption fluctuations due to environmental changes and workload, improves equipment stability and overall efficiency, and optimizes user experience.

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Abstract

本发明公开了基于人工智能的打印机能耗优化控制系统及方法,涉及打印机能耗优化控制技术领域,基于人工智能的打印机能耗优化控制方法具体步骤包括:步骤一、采集激光打印机多源数据,将采集到的原始数据传输至云端AI分析平台或本地边缘计算程序进行处理,步骤二、收集历史数据,量化综合环境舒适指数与激光打印机功耗的关联性,定义不同任务处理时间段,步骤三、使用LSTM预测模型对历史数据进行预测,根据预测结果,改变激光打印机决策,本方案通过多源数据融合与AI预测,提出加权综合环境舒适指数,量化多参数协同影响,基于历史数据预测未来任务概率和环境趋势,动态调整工作模式实现能耗与效率的平衡。
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