Fuzzy prediction control analysis system of infrared carbon and sulfur analyzer

Abstract

The invention discloses a fuzzy prediction control analysis system of an infrared carbon and sulfur analyzer. The fuzzy prediction control analysis system is used for overcoming effects of different environment temperatures, partial pressures, sample weights and analysis air flows on analysis results and the problem of errors of measurement result caused by ageing of a detection unit after long-time use. The fuzzy prediction control analysis system comprises an automatic sampling module, a high-frequency combustion furnace, an oxygen supply module, a gas conveying module, a flow control module, an infrared detection tank, a data acquisition module, an analyzing module, a processor, a display module and a storage module. A formula of ZCi=Ci+Ci*ln[(Qi-Qb)*k1+(Ti-Tb)*k2+(Pi-Pb)*k3+Gi*k4]u1 isutilized to obtain an actual value ZCi of the concentration of CO2 gas; by means of the obtained actual value of the gas concentration, the effects of the environment temperatures, the gas partial pressures, the sample weights and the air flows on the analysis results are reduced, and accuracy and precision of the analysis results are improved; a correction factor u1 is obtained through a fuzzy prediction formula, so that errors of measurement result caused by ageing of the detection unit after long-time use are reduced.

Description

technical field [0001] The invention relates to the technical field of infrared carbon and sulfur detection and analysis, in particular to a fuzzy prediction control analysis system of an infrared carbon and sulfur analyzer. Background technique [0002] The carbon and sulfur in the sample of the infrared carbon and sulfur analyzer are oxidized into carbon dioxide and sulfur dioxide gas after high-temperature heating under oxygen-enriched conditions. After the gas is processed, it enters the corresponding absorption pool, absorbs the corresponding infrared radiation, and is forwarded as a signal by the detector, and the output result is processed by the computer. This method has the characteristics of accuracy, speed, and high sensitivity, and can be used for both high and low carbon and sulfur contents. The infrared carbon and sulfur analyzer using this method has a high degree of automation and is suitable for occasions that require high analysis accuracy. The principle o...

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Problems solved by technology

[0003] The existing infrared carbon and sulfur analyzers are affected by the ambient temperature, sample weight, and air flow rate. At different temperatures, it will cause fluctuations in the intensity of heat and infrared detectors, which will affect the analysis results. When it is small, it is necessary to increase the sample weight to increase the accuracy and precision of the detection; the stability of the air flow is crucial to the infrared carbon sulfur meter, especially for the influence of carbon data

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