Ceramsite rotary kiln temperature monitoring method and system based on artificial intelligence

Through multi-sensor data fusion and real-time decision-making mechanism, dynamic adjustment of fuel supply and air volume parameters, combined with thermodynamic model and time series analysis, the problems of uneven temperature distribution and control lag in the expanded clay rotary kiln are solved, precise control of kiln temperature and real-time monitoring of equipment status are achieved, and production efficiency and equipment reliability are improved.

CN120740307AActive Publication Date: 2025-10-03HUNAN ZHONGBANG RENEWABLE RESOURCES TECH CO LTD +2
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Patent Information

Application Number
CN202511179975.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-22
Publication Date
2025-10-03
Estimated Expiration
2045-08-22

AI Technical Summary

Technical Problem

The existing control method for ceramsite rotary kiln is difficult to achieve real-time balance and multi-objective collaborative optimization of temperature distribution in the kiln under complex working conditions, resulting in temperature fluctuations, excessive energy consumption and unstable product quality. In addition, the equipment operation status monitoring is insufficient, increasing the risk of unplanned downtime.

Method used

The temperature and fuel combustion status data in the kiln are obtained through multiple sensors, and data preprocessing and weighted fusion are performed. The real-time decision-making mechanism classifies abnormal areas, dynamically adjusts the fuel supply and air volume parameters, uses thermodynamic models to simulate temperature changes, and combines time series analysis to predict the health status of equipment, perform fault diagnosis and early warning.

Benefits of technology

It achieves precise control of kiln temperature and real-time monitoring of equipment status, improves production efficiency and equipment reliability, reduces energy consumption and ensures stable product quality.

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Abstract

The invention discloses a ceramsite rotary kiln temperature monitoring method and system based on artificial intelligence, and the method comprises the steps: obtaining temperature data and fuel combustion state data of a preheating region, a roasting region and a cooling region of a ceramsite rotary kiln from multiple sensors, and carrying out the denoising and standardization processing of the temperature data and the fuel combustion state data through a data preprocessing module; obtaining a first data set with a uniform format; according to the first data set, a data fusion algorithm is adopted to carry out weighted fusion on the temperature data and the fuel combustion state data, and a second data set reflecting temperature distribution of multiple areas in the kiln is generated; if the temperature distribution deviation in the second data set exceeds a preset threshold value, classifying temperature abnormal regions through a real-time decision-making mechanism, and determining region temperature parameters needing to be adjusted; and according to the classification result of the temperature abnormal area, a control algorithm is adopted to dynamically adjust fuel supply quantity and air quantity parameters, and a first control instruction set is generated. According to the invention, the production efficiency and the equipment reliability are improved.
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