An online monitoring system for operation state of solid waste regeneration smelting furnace based on internet of things

By deploying acoustic and vibration sensor arrays on the outside of the furnace, online monitoring of the furnace's operating status is achieved, solving the problems of short sensor life and data integration in existing technologies, and improving the accuracy and response speed of monitoring.

CN122448296APending Publication Date: 2026-07-24DAZHOU HANGDA STEEL & IRON CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DAZHOU HANGDA STEEL & IRON CO LTD
Filing Date
2026-06-25
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In existing furnace operation status monitoring technologies, thermocouples have short lifespans and limited installation locations, in-furnace cameras are prone to coking, flue gas analysis has slow response speeds, and individual data are independent, making it difficult to comprehensively judge the furnace operating conditions and lacking inherent physical correlations.

Method used

An IoT-based acoustic sensor array and vibration sensor array are used to collect acoustic signals inside the furnace and vibration signals from the furnace wall, respectively. Through acoustic-vibration coupling, the online monitoring of the furnace's operating status is achieved.

Benefits of technology

It extends the lifespan of the sensing unit, improves the accuracy and response speed of furnace condition monitoring, can directly reflect changes in furnace lining thickness and integrity, and reduces maintenance frequency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a solid waste regeneration furnace operation state online monitoring system based on Internet of Things, and relates to the technical field of furnace operation state monitoring.The system comprises the following steps: acquiring sound signals in a furnace collected by an acoustic sensor array arranged outside a furnace wall of the furnace, synchronously acquiring furnace wall vibration signals collected by a vibration sensor array arranged outside the furnace wall of the furnace, extracting a first acoustic characteristic parameter set based on the sound signals in the furnace, extracting a first vibration characteristic parameter set based on the furnace wall vibration signals, performing acoustic-vibration coupling correlation operation based on the first acoustic characteristic parameter set and the first vibration characteristic parameter set, determining an acoustic-vibration coupling characteristic parameter set, performing state determination operation based on the acoustic-vibration coupling characteristic parameter set, and determining a current operation state identifier of the furnace.The acoustic-vibration resonance frequency parameter has high sensitivity to changes in the structural characteristics of the furnace body and can directly reflect changes in the thickness of the furnace lining and the integrity of the furnace wall.
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