一种电袋复合除尘器节能优化系统及方法

By optimizing the high-voltage power supply control parameters of the electrostatic precipitator-baghouse hybrid dust collector using a dynamic particle swarm optimization algorithm, the problem of high total power consumption of the electrostatic precipitator-baghouse hybrid dust collector was solved, resulting in power savings, extended filter bag life, and reduced operating costs.

CN120438148BActive Publication Date: 2026-07-17FUJIAN LONGKING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUJIAN LONGKING CO LTD
Filing Date
2025-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing electrostatic precipitators and bag filters, unreasonable high-voltage power settings lead to high total power consumption and energy waste.

Method used

The control parameters of the high-voltage power supply are continuously optimized using a dynamic particle swarm optimization algorithm. Through the cooperation of instruments, optimization controllers and industrial control computers, the power of the high-voltage power supply is adjusted in real time to achieve the lowest total power consumption.

Benefits of technology

It significantly reduces the total power consumption of electrostatic precipitators and bag filters, reduces filter bag wear, extends filter bag life, lowers equipment maintenance costs, and enhances the market competitiveness of industrial enterprises.

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Abstract

本发明属于工业烟气除尘领域,公开了一种电袋复合除尘器节能优化系统及方法,该系统包括仪器仪表、优化控制器和工控机,仪器仪表获取电袋复合除尘器的高压电源以及引风机的电能数据;优化控制器从仪器仪表获取电能数据,且获取高压电源的控制参数;工控机采用动态粒子群优化算法不断优化高压电源的控制参数,且每次优化高压电源的控制参数,均从优化控制器获取电能数据,基于电能数据计算电袋复合除尘器的总电耗,在满足迭代终止条件的情况下,得到优化后的控制参数,并按照优化后的控制参数控制高压电源,通过动态粒子群优化算法不断优化高压电源的控制参数,以优化高压电源的功率,使得电袋复合除尘器总电耗最低,节省了电能。
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