Online intelligent sintering air leakage monitoring method based on big data

An intelligent monitoring and big data technology, applied in furnaces, furnace types, lighting and heating equipment, etc., can solve the problems of inability to real-time online measurement, low intelligence, and high detection costs, achieving low cost, accurate calculation results, and air leakage. rate accurate effect

Pending Publication Date: 2022-07-22
ANHUI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0008] The purpose of the present invention is to solve the problems of poor accuracy, long detection period, high detection cost, incapable of real-time online measurement and low intelligence of the traditional sintering air leakage detection method, and to provide an online intelligent detection method based on big data. Method of Monitoring Sintering Air Leakage

Method used

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  • Online intelligent sintering air leakage monitoring method based on big data
  • Online intelligent sintering air leakage monitoring method based on big data
  • Online intelligent sintering air leakage monitoring method based on big data

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Embodiment 1

[0066] like figure 1 As shown in the figure, in this embodiment, an online intelligent monitoring method for sintering air leakage based on big data of the present invention is used to monitor sintering air leakage, and the main steps are as follows:

[0067] (1) Collect oxygen content data and process parameters of sintering process

[0068] The oxygen content data of the flue gas in the sintering machine bellows and before and after dedusting by the electrostatic precipitator were collected by using a zirconia oxygen meter, and the temperature data of the flue gas inside the bellows was collected by using a thermocouple sensor. After that, the collected data is transmitted to the PLC, and then based on the OPC technology, the PC and the PLC can establish communication, and the acquired real-time data is transmitted to the PC.

[0069] (2) Real-time data display and air leakage rate calculation model

[0070] After the real-time data is obtained, it is sent into the air lea...

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Abstract

The invention relates to the technical field of sintering production, in particular to an online intelligent sintering air leakage monitoring method based on big data, which comprises the following steps: collecting flue gas oxygen content data in an air box of a sintering machine and before and after dust removal of an electric dust remover, calculating an air leakage rate of a specific interval based on an oxygen balance algorithm, and combining sintering production parameters. According to the online intelligent sintering air leakage monitoring method based on the big data, the air leakage condition in the whole sintering process is monitored by adopting an abnormal data mining algorithm of a sequence anomaly technology. The problems that a traditional sintering air leakage detection method is poor in accuracy, long in detection period, high in detection cost, incapable of achieving real-time online measurement, low in intelligent degree and the like are solved.

Description

technical field [0001] The invention relates to the technical field of sintering production, in particular to a method for online intelligent monitoring of sintering air leakage based on big data. Background technique [0002] Sintering air leakage has a huge impact on the economic and technical indicators of the sintering production process, and will increase the production cost and reduce the output and quality of the sintered ore. First of all, air leakage reduces the working negative pressure of the air extraction system, reduces the effective air volume per unit sintering area, reduces productivity, and reduces the quality of sintered ore. The more serious the air leakage, the less the air flow through the sinter layer, and the greater the impact on the sinter output. Secondly, the leakage of air will also increase the energy consumption of the main exhaust fan. The electricity consumed to produce one ton of sinter is about 38kWh, of which the power consumption of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F27B21/00F27D17/00F27D21/00F27D21/04
CPCF27B21/00F27D17/008F27D21/00F27D21/04
Inventor 张学锋张功辉龙红明余正伟刘盛东祝忠阳谢悦
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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