Papers by Author: Meng Ran Zhou

Abstract: Due to the complicated coal mine flooding water quality monitoring data, in order to extract the effective data from vast amounts of data, this article used the fuzzy clustering to analyze the monitoring data processing. This study makes a brief analysis of monitoring data structure, then analyzes the shortcomings of fuzzy C mean clustering algorithm (FCM),which also proposes fuzzy C-means algorithm based on particle swarm optimization (PSO-FCM). Finally samples of the underground water data are used to carry out the instance simulation. The experiment results showed that in dealing with data samples. The algorithm had some advantages and it was worthy of research.

Abstract: This paper summarizes the basic principle of flow velocity measurement, analysis of the structure of the polarity correlation algorithm, the circuit implementation, and the peak point determination, then introduced the LMS(Least mean square) algorithm in flow velocity measurement , thereafter,the simulation experiment of the two algorithms are performed. Experimental results show that with a noisy environment, the measurement accuracy of the polarity correlation algorithm reduced, since the LMS algorithm can automatically adjust its parameters to the external factors, so it can still have a accurate date in flow velocity measurement.

Abstract: In our country, as the great threat caused by gas explosion or gas accident to the safety in coal mine production, the development of gas monitoring system is key to preventing accidents beforehand.. Putted into interferometer, the amplitude and the intensity of the incident ray carrying the information of gas concentration are divided many times by reflection and transmission, which results in many parallel beams in the form of the reflected light and the transmitted light. The concentration of the gas can be obtained by testing the light intensity signal . The experiment results show that an accurate measurement result which is capable for the gas concentration test in underground abominable conditions can be got by this mean. Particularly, based on multiplexing technique of optical fiber sensing, it is easy to build a sensor network. This method has an important significance and a good prospect of application and extension for gas monitoring and safety production in the coal mine.

Abstract: In this paper, According to mine gas accident frequent and the shortages of traditional gas monitoring system, puts forward some eigenvalue fabry-perot interference (EFPI) technology, its spectrum domain to study the mechanism of white light interference demodulation . establishing the wavelength fiber methane sensor system, realized the sensing information high resolution, wide measuring range and do not suffer light wave, the spectrum domain influence of disturbance synthesis technology. Experimental results show that have an accurate measurement results, it can be applied in underground bad environment method of measuring gas concentration, the research may realize all fiber optical signal measurement, underground only, no electrical signals, strong anti-jamming capability, suitable for inflammable, explosive and other environmental.