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It is mainly for processing and analysis of the collected data, among of which, the correlation analysis of the collected data can be used to verify the feasibility of the system.
The remote control center is mainly responsible for starting the data collection, receiving raw data, and making a certain pretreatment and display, meanwhile sending the processed data to the analysis center when having an abnormal alarm.
This paper focuses on the research of the analysis center system, for processing and analysis of data collected, including the correlation between the signal noise reduction and signal analysis and research [5].
So, the noise reduction processing is very important before signal analysis.
Taking the strain data and temperature data as samples, the correlation coefficient of them is calculated and analyzed and compared with different algorithms.

This article from the biodegradation, microbial sulfate reduction, thermal decompositionchemistry, chemical sulfate reduction and magmatic 5 aspects to analyze the formation mechanism of hydrogen sulfide gas in coal mine, a coal mine combined with field data, analysis of hydrogen sulfide gas in the coal mining the transport mechanisms.
Our most serious, the data show that China's high-sulfur coal accounted for 36.6%, while hydrogen sulfide influx Face coal mining, to cause serious harm to human health[5]-[6].
Thermo-chemically decomposed and thermochemical sulfate reduction of organic sulfur.
The Huaying Mountain geological data show that the higher the content of the mining area of soluble carbonates, and a large area exposed, showing the direction of NNS distribution region, in particular the Department of Yang Miocene limestone stack thickness, quality of pure, karst development, the formation of many caves, dissolved bucket, sinkholes, ground temperature of the heat demand less than a chemical reaction.
Microbial sulfate reduction.

Electrochemical Reduction of AQ27DS in Aqueous Solution César A.C.
This reduction can be regarded as electron transfer followed by protonation.
The values obtained complemented by data taken from the literature [2,3] enabled the mean value of δ to be calculated to be 5.0 µm, under the particular stirring conditions employed. 4.
The reduction was found to occur at a half wave potential of -0.25 V vs.
Only a single reduction peak was observed, even though potentials down to -1.4 V vs.

A Novel Method to Compress Real-time Process Data Xiaojian Zheng Faculty of Software, Fujian Normal University, Fuzhou 350007, China zxiaojian@126.com Keywords: stream data mining, process data, data compression.
Introduction The amount of process data is growing with an astonishing speed and is challenging efficient management of data.
To avoid mixing exceptions with regular, we introduce a coarse exception manipulation rule as follows:If Xi is an exception then it is changed into another form @Xi@ 2.3 Postprocessing 2.3.1 Normalization rule For further data reduction, we do some post-processing.
Conclusion Process data compression is an actual and challenging task in sensor data stream mining.
Data Compression Conference 1995: 92-101

First, the core goal of rough set is the effective classification of the monitored objects, and to obtain the knowledge contained in the large amounts of data.
Third, the rough set can find the association rules between indicators and results from a large amount of data.
IF are two attribute sets in addition that is contained in , , so is a reduction of , All attribute reduction sets of written for can be deduced from different attribute reductions.
Indicators are given in table 1, establish the decisive information system .At present, according to rough set theory, the method of attribute reduction is based on discernibility matrix, the attribute reduction algorithm of frequency reduction, genetic algorithm reduction, etc. this paper mainly refer to literature function —redu ( ), make reduction to decisive information system, Then we may got reduction of decisive information .
Design of MATLAB simulation tool box of rough set data analysis system, J.

Keywords: NOx; selective catalytic reduction; cement kiln Abstract.
U.S. plants presently using or installing show that on average, SNCR achieves approximately a 35% reduction at an NSR of 0.5 and a 63% reduction at an NSR of 1.0.
In addition, there is accumulating data on the ability of SCR to control emissions of other pollutants,including VOC, dioxins and furans, ammonia, and mercury.
Reduction of nitrogen oxides with SNCR technology at Slite cement plant.
Reduction of NOx Emissions from Exhaust Gases of Cement Kilns by SelectiveCatalytic Reduction.

It shows the presence of single trigonal phase, FeTiO3, space group #148, with lattice periods a = 5.0816 Å, c = 14.051 Å corresponding well to literature data [10].
Numerous data on hydrogen sorption performances of AB2-type hydrogen storage materials (A = Ti, Zr; B = Cr, Mn, Fe, Ni, Cu, V) were published since late 1970s.
The reference data were fitted using the simplest linear regression according to the formula: 3.1 Seven independent fitting variables X1…X7 are listed in Table 1.
Figure 5: Relations between experimental (calculated using Van’t Hoff equation from the reference ΔH and ΔS data) and calculated (eqn. 3.1) values of equilibrium hydrogen pressures for AB2-type intermetallic hydrides at various temperatures The values of equilibrium hydrogen pressures for AB2-type intermetallic hydrides at various temperatures calculated from the reference thermodynamic data show very good correlation with the corresponding values calculated from the alloy’s compositions using Eq. 3.1 (Figure 5).
Geological Survey Data Series 140, available online at http://pubs.usgs.gov/ds/2005/140/

Data Selection.
Data Pretreatment.
The reprocessing of the data generate in the previous step, check the integrity and consistency of the data, processing the noise data , Using statistical methods to fill the missing data.
Data Reduction.
Data Mining.

Furthermore, a complete data acquisition system was utilized into the field tests, and all pressure values are measured and recorded by the system, which contributes to the analysis and optimization on the working performance of the oscillation tool with an amplifier.
ST004400 Pressure 0～70Bar Input 10V～24V Output 4～20mA Temperature (˚C) -40～+125 Precision (%) 0.5 Field test In order to monitor and measure the variation of pressure pulse with the pumped flow rate, there are totally 5 groups of flow rates are pumped into the oscillation tool with a fluidic amplifier, and all of the pressure pulse values are simultaneously obtained by the data acquisition system.
In the meantime, all the obtained pressure values are timely grasped and recorded by the data acquisition system while the pumped flow rate is ranging from 5L/s to 18L/s.
The pressure variation of monitored cross-section of the oscillation tool with pumped flow rate is obtained by data acquisition system, which directly implies the work performance and status of the friction reduction tool with a fluidic amplifier.
As shown in Fig 2, the pumped flow rate has an influence on the vibration frequency of friction reduction tool with a fluidic amplifier.

Modeling and Testing of Linear Electric Servo System Xuejiao Zhao1,a, Fan Lin2,b 1Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China　 2 Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China ajiaojiao.7111@163.com, blinfanjy@bit.edu.cn Keywords: model of the electric servo system; data processing; test of Amplitude and Phase frequency characteristics.
A mathematic model of the electric servo system was founded in this paper and several groups of data collection and data processing were executed to check up the model veracity.
This paper described the data processing steps and analyzed the contrast of test and simulation results.
The time constant will be too large to achieve the requirements of fast [2] without a reducer with a large reduction ratio.
The reduction ratio of this servo system is calculated as Eq. 3