Dust collector supervision method and system based on big data

• Main Authors: WEI LIYONG, HE MINGWEI, YANG ZIHUA, DENG SHAOLONG, LUO SHUJUN, HE SHIKUN, PANG WEI, DENG QIAN, FAN YI, WANG YUHUA, JIANG KAIFANG, DENG SHAOSEN, YANG XIUBIN, ZHAO HUI, HU YAOLIN, MENG ZHENGJIA, HU SIYI, YANG JIE
• Format: Patent
• Language: Chinese; English
• Published: 11.02.2022
• Subjects: PERFORMING OPERATIONS; PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL; SEPARATION; TRANSPORTING

The invention discloses a dust collector supervision method and system based on big data, and the method comprises the steps that the operation parameters, control parameters and environment parameters of a dust collector are monitored in real time through an Internet of Things communication technology; a reasonable threshold value alarm and a bag breaking self-inspection program of each bin are set, and the dust cleaning effect of the dust collector is ensured by controlling the distance between an isobaric injection pipe and airflow injection and the distance between a nozzle buckle and a filter bag opening through a box body jumping cleaning method; the control of the dust collector is changed from single-machine independent control to predictive control according to the real-time change of the process working condition; optimal control parameters under different working conditions are searched, and field PLC control parameters are modified according to the optimal control parameters; and all parts of the