Escalator lubrication control method and device based on Internet of Things and clustering analysis

• Main Authors: TANG ZHUKUAN, ZHANG YAN, CHEN ZHIXIN, CHENG ZHISHANG, XU LEI, LIU WENQIN
• Format: Patent
• Language: Chinese; English
• Published: 19.08.2022
• Subjects: BLASTING; CALCULATING; COMPUTING; COUNTING; ELEVATORS; ENGINEERING ELEMENTS AND UNITS; ESCALATORS OR MOVING WALKWAYS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVEFUNCTIONING OF MACHINES OR INSTALLATIONS; HANDLING RECORD CARRIERS; HAULING; HEATING; HOISTING; LIFTING; LIGHTING; LUBRICATING; MECHANICAL ENGINEERING; PERFORMING OPERATIONS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; THERMAL INSULATION IN GENERAL; TRANSPORTING; WEAPONS

The invention discloses an escalator lubrication control method and device based on the Internet of Things and clustering analysis. The method comprises the steps that operation condition information and environment feature information of a target escalator are obtained; inputting the operation condition information and the environment characteristic information into a clustering model, and determining category information of the target escalator; inputting the category information of the target escalator into an escalator mechanical condition recognition model, and determining a target mechanical condition category of the target escalator; determining a lubrication mode of the target escalator according to the target mechanical condition type, and determining lubrication parameters according to the lubrication mode; and lubricating control is conducted on the target escalator according to the lubricating parameters. The method improves the accuracy, is energy-saving and environment-friendly, and can be widel