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The base data of power plants are shown in table 1.
Tab.1 Base data of power plants Plant Net coal consumption rate/(g/kWh) auxiliary power ratio /% SO2 mg/m3 NOx mg/m3 EAF Net loss/% Water consumption t/h plant 1 340 6.2 390 380 0.90 6.7 800 plant 2 330 6.1 380 350 0.91 6.9 820 plant 3 310 7.2 61 310 0.92 7.1 200 plant 4 320 7.1 55 120 0.91 7.2 80 plant 5 303 7.5 65 250 0.90 7.3 350 The matrix of the original data B is: The B’ after standardized treatment is: The indexes of energy-saving and emission reduction and the comprehensive evaluation indexes are shown in table 2.
In order to compare the effect of energy-saving and emission reduction, the basic data of power plant 3, 4, 5 should be calculated.
Tab.3 Calculation data of power plants Plant Coal consumption t/h Flue gas/(m3/h) SO2 kg/h NOx kg/h Water consumption t/h Order Power plant 3 186 1116000 68 245.5 300 2 Power plant 4 192 1152000 57.6 138.2 80 1 Power plant 5 181.8 1090800 81.8 272.7 350 3 As is shown in table 3, although the coal consumption of power plant 5 is low, compared to power plant 4, the SO2 and NOx emission per hour is higher.
According to the comparison of the computational data, the proposed evaluation method of this paper can fully reflect the situation of energy-saving and emission reduction.

Over the six data mining methods can be divided into two categories, namely direct and indirect data mining data mining.
Direct Data Mining.
Indirect Data Mining.
Rough set reduction is an important concept for data analysis.
Use reduction results, you can get a preliminary classification of fault data, the rules are diagnosed.

Experimental 2.1 Preparation of Mg-Sr Alloy by silicothermic vacuum reduction.
Data of time and pressure were recorded every 4 minutes during the total reduction process.
The fastest reduction rate was obtained at point C and the reduction was finished at point D.
Preparation of Mg-Sr Alloys Using Vacuum Reduction - a Thermodynamics Approach [J].
The practical thermodynamics data book of inorganic matter.

The test result shows that the algorithm can obtain an attribute reduction efficiently.
The theory has been widely used in machine learning and knowledge discovery, intellig-ence control algorithm, data mining and other fields.
Information entropy method explains the data table from the view of information theory, which can appropr- iately reflect the information deviation.
The experimental data set are summarized in Table I.
Table I Incomplete decision table Data set Samples Attributes Classes Data type Hepatitis 155 19 2 N Soybeanlarge 307 35 19 N Credit 690 15 2 N Vote 435 17 2 N TableII Experimental results comparison Data set Numbers of attribute T1(ms) T2(ms) Hepatitis 9 1238.6 648.4 Soybeanlarge 26 60087.5 50004.7 Credit 8 101609.3 100410.7 Vote 10 90632.3 85632.3 The experimental results are summarized in Table II.

Thermal reduction of phosphate ore dates back to the late 19th century when blast furnaces were used to carry the reduction with charcoal.
Analysis of thermodynamic equation in the reduction of phosphate ore by carbon The nominal chemical reaction in the reduction of phosphate ore by carbon [7] can be summarized as: (1) The equation of total gas (P2 and CO) pressure P versus reaction temperature T can be obtained by thermodynamic analysis as follows and the thermodynamic data is referred to the handbook [8]
When (C/P2O5)m is 5.0, the percent reduction is only 74.38%; when (C/P2O5)m is 8.0, the percent reduction is up to 98%, which is close to that of (C/P2O5)m 9.0.
Effect of flow rate of nitrogen gas on percent reduction.
Hu, in: Practical handbook of thermodynamic data of inorganic compounds 2nd edition, Metallurgical Industry Press, Beijing (2002), in press.

Also, with analyzing the stability of tunnel surrounding rock, we defined the safety used ADINA software to establish a simulation model, from which we can get the relationship between the strength reduction factor and data such as the maximum principal stress and the maximum coefficient as 2.5 at last.
The principle of the strength reduction method.
In the formulas, means soil virtual cohesion after reduction and  means soil virtual interal friction angel after reduction.
Therefore, reduction factors are shown in Table 2.
It means when the soil is subjected to environment factors such as heavy snow, rain and storm, the strength of the soil will be lower to be 40% of its original data.

Some theories on the basis of data mining as follows: Data Reduction: In this theory, the basis of data mining is to simplify the data.
Data reduction in accuracy for speed to quickly get an approximate answer apply large database query.
Data reduction technologies include singular value decomposition, wavelet, regression, log-linear model, histograms, clustering, sampling and construction of the index tree.
For example, the pattern found in data reduction can be seen as a form or a data compression.
Data access layer is mainly related operations processing and data sources, and data source stores data the user wants to mining.

This model can provide theoretical support for enterprises emission reduction program.
Step 2: According to the emissions by the previous step, we find the difference between the emission reductions of emission reduction process and the emission reductions in the original (emission reduction potential) and then give the corresponding optimal treatment measures
The comprehensive evaluation index indicators is such a way that can make the raw data of the indicators "standardized", so that the indicators can be compared with each other in the same scale.
The method used to standard the raw data called the evaluation index, divided into individual evaluation index, the category evaluation index and comprehensive evaluation index[9-11].
The solution of the model and the calculation of index evaluation need further research due to model complexity and uncertainty of the data.

First pre-treatment basic data is proceeding.
On the clinical data, in order to analyze changes of various indicators and their relationship in the process of differential treatment with traditional Chinese medicine, to screen clinical evaluation of TCM on the orderly’s bacterial pneumonia, you need to use data mining processing (data preprocessing, method selection, dimension reduction ,modeling, etc.).
Data mining is a method for search the knowledge and implicit rules in large amounts of data..
The above information as a basic sample set of data mining is completed data management by MICROSOFT SQL SERVER database. 2.1 Data Preprocessing 1) To Deal with the null values data in the database.
The tables are incomplete in some indicators, data collection items phenomenon (target item data to a null value), for the difference of the data to carry out (null value data are not subtracted), null value data items in the database will be assignment for the arithmetic mean of the indicator data. 2) To change Numeric variables into multi-value variable.

Abstract: The magneto-rheological (MR) vibration reduction control technology is studied and a design and implementation of an automobile MR vibration reduction control system based on ARM9 is given in this paper.
This system is able to achieve joint acquisition of multi-channel physical quantity of vibration and real-time control of MR damper, providing functions of online testing and acquisition of vibrating sensor signal and functions of management, storage, display and control the on-site collection data.
The controller based on ARM embedded processor, with CAN bus interface, high response speed and fine scalability, can realize transmitting the data acquired from field to the upper PC measurement and control platform through CAN bus, or receiving control information from the platform, or downloading the control algorithm, or communicating with other vehicle electronic devices in real time.
As for multiple-input multiple-output control system with PID control, fuzzy control or other control algorithms, control process contains a large amount of data processing.
Acquire vibration signal and control in real time and upload data and display vibration waveform on LCD screen; (2)Numerical display control: Acquire vibration signal and control in real time and upload data and display vibration number on LCD screen; (3)Control algorithm Setting: receive control algorithm from PC demand; (4)Communication parameter setup: receive PC command parameter, such as the communication rate,etc.