Intelligent diagnosis and early warning system and method for ultrasonic atomization dust removal

By introducing multi-dimensional sensors and AI models into the ultrasonic atomization dust removal system, accurate fault identification and graded early warning are achieved, and equipment parameters are dynamically adjusted. This solves the problems of incomplete dust removal and excessive energy consumption in existing systems, and improves the stability and efficiency of the system.

CN121338461APending Publication Date: 2026-01-16HENAN POLYTECHNIC UNIV +1
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Patent Information

Application Number
CN202511452936.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-13
Publication Date
2026-01-16

AI Technical Summary

Technical Problem

Existing ultrasonic atomization dust removal systems cannot dynamically adjust according to the real-time dust concentration in the dust removal area, lack real-time monitoring capabilities, and lack intelligent early warning and control, resulting in incomplete dust removal or excessive energy consumption, making it difficult to meet the high-efficiency, stable, and low-maintenance requirements of industrial scenarios.

Method used

An intelligent diagnostic and early warning system for ultrasonic atomization dust removal is constructed, including a basic dust removal unit and an intelligent diagnostic and early warning unit. Multi-dimensional sensors are used for data acquisition, and combined with an AI fault identification model and an edge computing unit, fault identification, graded early warning and adaptive control are realized. The overall risk of the system is calculated by the fault degree and weight coefficient of the sensor parameters, and the equipment parameters are dynamically adjusted.

Benefits of technology

It achieves accurate identification of single-parameter and complex faults, reduces the risk of fault escalation, reduces energy consumption, improves dust removal efficiency and system stability, supports predictive maintenance, and is adaptable to various industrial scenarios.

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Abstract

The invention discloses an ultrasonic atomization dedusting intelligent diagnosis early warning system and method, and relates to the technical field of ultrasonic atomization intelligent monitoring and control. The system comprises a basic dust removal unit (an ultrasonic atomizer, a fan and a water tank) and an intelligent diagnosis early warning unit (a sensing layer, a data transmission layer, a control diagnosis layer, an execution layer and a data storage layer). The sensing layer is provided with multiple sensors to collect multi-dimensional parameters, data are transmitted to the control diagnosis layer through the industrial Ethernet, the edge calculation unit recognizes faults through an AI fault recognition model and calculates the overall risk degree in combination with the formula of fault degree * weight coefficient, the early warning threshold judgment module sets three levels of threshold values, the execution layer correspondingly performs linkage actions, and the control diagnosis layer performs control diagnosis. And two working condition threshold values and self-adaptive parameter regulation and control are supported. According to the invention, accurate fault diagnosis, graded early warning and on-demand dust removal are realized, energy consumption and fault expansion risks are reduced, and the method is suitable for industrial dust removal scenes.
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