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Rough set data analysis is a symbol method of analyzing relativity and dependence of data.
Continuous data need to be dispersed.
The method of rough set data analysis system actually is the course of reduction of decision table.
Data Discretisation.
The function is logic(xl,x,y) ，xl is original data, x is reduction result data, y is the minimal rule.

Data Collection Displacement measurement shall immediately start when all load are completely imposed, first reading is corresponding to creep at zero time.
This test will use the software which is specially developed for creep test to carry out data collection.
Data Analysis Method Relationship between creep elongation rate of the conductor and time follows exponential law, which shows linear relationship on the double logarithmic coordinate.
Carry out analysis on test data, obtain coefficient in creep equation, apply the creep equation to calculate creep quantity after operation for 10 years and 30 years, and provide the regression curve[6].
Section ratio between aluminium and steel of JL/G3A-1000/45-72/7 conductor reaches 23.25, which greatly exceeds specified scope of the specification, and the temperature reduction value shall be obtained from calculation and analysis of test data.

Study on Preparation of Metal Sm by Metal Thermal Reduction Method Ping XUE School of electromechanical and architectural engineering, Jianghan University, Wuhan, Hubei, 430056 xueping20011982@163.com Keywords: Metal thermal reduction method; Metal Sm; Thermodynamic calculations; Direct yield Abstract: In this paper, thermodynamic calculations and reaction process for the production of metal Sm by metal thermal reduction method were analyzed.
The preparing method of metal Sm is mainly metal thermal reduction method by metal Lanthanum or Cerium [2].
According to relevant references, the data of Lanthanum and Cerium reducing reaction are as follows [2]: 2Sm2O3(s)+2La(l) →2Sm(g)+La2O3(s) ΔGT=102940-48.77T+8.314Tln (0.1/101325)2≤0 T≥2110.7K Sm2O3(s)+2Ce(l) →2Sm(g)+Ce2O3(s) ΔGT=97600-47.12T+8.314Tln (0.1/101325)2≤0 T≥2071.3.7K It can be seen from the above data that the thermodynamic conditions of the reaction can be carried out above the reaction temperature 1800℃.
Experimental results and discussion 1kg drying Sm2O3 powder is weighed and added with the reduction metal at the proportion of 1:1 (the reduction metals are the chips of the La-Ce mixed metal ingot after turning).
[2] E.B.Lv, X.S.Liu, Study on the factors of metal Sm by La and Ce thermal reduction method,J.Jiangxi.Nonferr.Metal. 4(1990) 9-13

Business data External data Business data ETL database ETL data Data warehouse Multi-dimensional data sets online analysis(OLAP) Data mining Front-end tool Query tool Reporting tools Analysis tools Figures 1.
Data dimension Data keyword(PK) Data property ...
Raw data Data mart Data warehouse Data mining training library Clean-up phase Process of building a data earehouse Integration stage Data pre-processing process Reduction phase Figures 3 Data pre-processing process model When the traditional data warehouse architecture building data warehouse, external data sources will be directly loaded into the data warehouse trough ETL tools, which has some deficiencies. 1) Since the complexity of the data pre-processing, direct integration will inevitably lead to that the process not only occupies a number of eternal operational database resources and time, but also affects the efficiency of data warehouse loading data. 2) After the source data extraction, cleaning and conversion, when transmitting to the data warehouse if there are system failures or network failures, the whole data pre-processing process will be only redone, which is a great waste of resources
Operational database Operational database Unstrauctured data Data extraction Data preparation area Data conversion Data load Data warehouse server OLAP analysis tools Data mining tools Figure 4.
The attribute X and Y has no relation ad they are independent. 6) Dimension reduction based on information gain.

The application layer processes the data effectively.
On-line monitoring data was provided to all the major programs which have been included in the annual emission reduction verification process.
These data can be used as proof to show that the operations of environmental protection devices are on track, and to verify the reduction amount.
At the same time, it can send the data obtained from the mobile terminal to the server and achieve the data exchange.
As the applications of data analysis, data mining and other cloud computing technologies growing deeper, the application of the environmental data is widened and deepened as well.

Magnesium reduction Jar can be critical, consumable parts in magnesium reduction process, this paper Introduced the working environment and the common failure modes of magnesium reduction can, based on the failure can cause magnesium reduction, presents a The new structure, developed a new material, and magnesium can restore the original structure was modified, the use of new casting technology to produce a good magnesium reduction tank.
This paper analyzes the failure of Magnesium reduction Jar cause reduction, developed a new material, and magnesium reduction tank’s original structure was modified, the use of new casting technology to produce a good reduction Jar. 1 A typical structure of reduction Jar and its work environment The size of reduction Jar is320mm×(2650~2700) mm or the standard 339×(2650～2700) mm, wall thickness is 30～35mm, which lie put to gas and coal as main fuel reduction furnace, its openings exposed on one end of a length outside the furnace wall to form a multi-pot reduction furnace structure, the specific structure shown in Figure 1 [1,2].
Field test data show that: shell cracks appear on the site of intensive work exactly corresponds to σ phase precipitation temperature range parts.
Study on the Reduction Jar Used for Mg Making[J].
Research on the Parameters Optimization in the Reduction Process Step of Smelt Magnesium by Silicon－thermo－reduction[D].

The application of storage tanks and other reduction facilities has play a key role in reducing first flush pollution.
It can also provide reference to the pre-construction and later running or related assessment standards of the initial rainwater reduction facilities.
What’s more, the basic data or information should be ready to be provided by the evaluation object part.
Collect and verify basic information In general, the basic information based on evaluation program could be collected by historical data or questionnaires and symposium, and then the evaluation team should verify it to make sure the basic information is real and effective.
Conclusions The application of storage tanks and other reduction facilities have been proved an effective way to reduce the urban initial rainwater pollution.

The comparisons to different thermal physical properties such as thermal resistance R0, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0 have been performed between Tuzhang dwelling and normal brick house.
The temperature data of Yuanjiang is shown in Fig.1.
Parameters used in present analysis include: values of thermal resistance R0, heat storing coefficient S, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0.
Comparison to brick wall, soil wall has larger thermal inertia index data D.
The comparisons to different thermal physical properties such as thermal resistance R0, thermal inertia index data D, reduction coefficient of thermal wave transferring V0 and thermal transferring delaying time ξ0 have been performed between Tuzhang dwelling and normal brick house.

Data Envelopment Analysis Method The Theory of Data Envelopment Analysis Method.
The basic idea of this model is: Form the analysis of the sample input and output data, the model is to determine the effective decision-making unit , and to determine the production frontier.
is the copper loss of transformer Data model of line loss potential analysis of Gansu Power Grid Suppose that Line loss is x1, transformer loss is x2 and others loss is x3.
An output indicators is the whole network line loss rate, the input and output data of each decision-making unit is given by the following matrix.
(5) (6) In this model, X1i, X2i, X3i and yi are the known data.

The data source of an energy flow diagram is from the statistical data in the energy balance sheet for a region.
Investigation of the city’s energy flows and the major industries’ energy consumption, structure and carbon emission can provide data and decision supports to draft CO2 controlling measures for the dominant industries.
However, concerns and practices on CO2 control just starts, research on air pollutants reduction which collaborates with CO2 emission reduction is very necessary.
This model can be used to evaluate the regional air pollutants, CO2 emission and economic investment, and support data collection and decision makings.
In this paper, only current data and conditions were analyzed.