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The Study of On-line Measurement and Information Acquisition on Biomass Concentration

Author: ShaoZuo
Tutor: ZhaoMingFu
School: Chongqing University of Technology
Course: Signal and Information Processing
Keywords: Biomass concentration Online measurement Fiber Optic Sensors Soft Measurement
CLC: X831
Type: Master's thesis
Year: 2010
Downloads: 47
Quote: 0
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Abstract

With China's industrial high-speed development, more and more volatile organic compounds into the atmosphere. Such organic exhaust deterioration of the living environment of mankind, and interfere with our daily life, but also to cause serious harm to human health and ecological environment. The study showed that the biological trickling filter treatment of such organic waste gas has a good effect. Affect biological trickling tower biochemical reaction efficiency factors, such as: nutrients composition of the bacterial suspension containing microorganisms, microbial activity, biomass concentration, pH value, in the process of biological trickling filter treatment of organic waste gas cycle liquid flow rate, column temperature. Among these factors, the concentration of biomass is an important process parameters, and its online measurement is extremely important significance for understanding the biochemical reaction process state, and the online monitoring. Studies have shown that the concentration of biomass-line measurement technology is not yet mature, therefore, it is necessary to design a new type of biomass concentration online measurement method. The main contents of this paper are as follows: (1) energy attenuation based on fiber-optic retroreflective technology biomass concentration measurement method. Seen by the Lambert-Beer law, the concentration of the absorption coefficient of light transmission medium, by absorption of the optical path of the medium, the incident light intensity relevant. It is starting from the physical phenomenon and theory, the size of the received light to the reflected energy and biomass concentration measurement linked. (2) on the basis of establishing measurement theory, design principle of concentration of biomass-line measurement of the composition of the sensor, and the sensor, the optical path analysis and technology research, and to carry out related experiments. The theoretical analysis and experimental research: using this method to measure the concentration of biomass is feasible, a good correspondence between the biomass concentration and sensor output voltage between. (3) designed for the online measurement of the influence of temperature changes on the biological bacterial suspension, the sensor having a temperature compensation unit. Structural improvements, the introduction of the original single bald sensor Shuangguang Tou probe structure. Improved sensor can simultaneously measure the two signals, all the way for the DUT biological bacteria suspension concentration, all the way to the reference fluid temperature in the same environment, and laid the foundation for the elimination of temperature changes on the biomass concentration measurements. (4) Due to the biological trickling filter treatment of biochemical reactions of organic waste gas is an extremely complex process, in order to let the the biomass concentration online measurement sensor has a stronger application study to eliminate other non-the soft measurement methods based on neural networks Linear factors on the measurement of the concentration of biomass. Experiment, using the measured experimental data as the training of the neural network to prepare the data, the model predicted. The results show that the agreement between the predicted and experimental values, error control within 0.005mv the soft measurement forecast estimates received very good results. Work for online measurement of biomass concentration, only relates to the measurement of single biological species bacterial suspension, only to study the impact of temperature parameters on-line measurement; intelligent information acquisition part, only carried out based on BP artificial neural network Soft sensor modeling projections estimate. Biochemical process of multi-strain multi reactants multi-parameter fusion measurement techniques, as well as other intelligent exploration of information acquisition method remains to be further studied.

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