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Compared with the traditional management information system (MIS), GIS has spatial data and attribute data.
MIS only has attribute data.
The data is graphic, stored as files.
GIS is the data source of the spatial load prediction for data collection, processing and results display.
It exchanges data with distribution automation system to achieve real-time data information.

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.

The strength reduction method is applied in the analysis of slope stability, strength reduction, into the finite element program for calculating, until computations convergence.
According to the survey data of landslide soil mainly for silty clay clip of gravel, and sliding bed for approximate circular arc shape due to landslide, groundwater is meager, it does not consider the effect of hydrostatic pressure on groundwater dynamic.
Set, as the initial strength parameters, safety factor, strength reduction definition form.
This article uses the finite element strength reduction method of a landslide, undertook systems analysis, confirmed the strength reduction method used in slope engineering feasibility, obtained the corresponding safety coefficient of stability of landslide
The finite element strength reduction method in soil and rock slope, 2004, 23 ( 19): 3381 - 3388(In Chinese) [3]Shifei Lou.

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.

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.

The obtained data on the thickness of the crystallized shell of continuous cast bloom and the amount of solid phase depending on the casting speed and steel grade allowed us to conclude about the possible place of installation of the MSR unit.
Selection of boundary conditions (heat transfer coefficients at the boundaries metal – cooling environment) and verification of the model were made based on industrial data.
In the analysis of the calculated data (Fig. 2) in terms of the dynamics of changes in the considered time interval and ratio of the area of the crystallized component of the bloom Fhard to its total cross-sectional area Ftotal the strength characteristics of the formed crust draw attention to themselves.
Aksenov, Soft reduction of a cast ingot on the incomplete crystallization stage, Materials Science Forum. 762 (2013) 261-265
Ney and e.t.c., Soft reduction in the continuous casting of billets, Millennium steel. (2007) 112-118

The comparison results found good agreement between the numerical model and wind tunnel experimental data with an error of 7.8% in the wind reduction ratio, indicating the present numerical model can be used to undertake study on butterfly and non-planar porous fences.
The rationality and the validity of the numerical method developed in the present work have been evaluated by comparing the numerical results with the experimental data.
The validity of the present numerical method has been evaluated by comparing the numerical results with the experimental data which contain the mean velocity profiles behind the porous fence and the wind reduction ratio.
Fig.5 Comparison of non-dimensional mean velocity profiles at Z/H = 0.8 and 1.2 Fig.5 shows that numerical values are higher than experimental data in the downstream region.
As a result, the numerical predictions show good agreements with the experimental data.

The higher the temperature of reduction is, the more obvious the yield falls.
Fig.1 Microwave carbon thermal reduction diagrammatic sketch Raw material.
(8) Reorganize and analyze the data Result analyst and discussion Ore phase analysis.
Considering the productivity rate and the grade, the ore selection index is better in the process of 750℃ reduction, magnetic separation in 1.2A current, and the data for both of that are 91.34% and 54.66%.
The higher temperature of reduction is, the more significant grade falls

The results show that the reduction could not complete.
However that reduction process has not completed yet.
The size do not affect clearly on reduction process.
In this experiment the influence of ore size are not seen clearly due to lack of XRD spectra data for each ore size before roasting.
The reduction occurs after dehydroxylation complete.

It is possible to pinpoint the actual location and shape of the cohesion zone in the blast furnace using experimental data on the temperatures of the beginning of softening and melting of iron ore materials.
Alekseev [15] first obtained experimental data on the temperatures of the beginning of softening and melting of iron ore materials, taking into account the degree of reduction.
Data were recorded in the range of angles from 5° to 90° in steps of 0.021° to 2θ and a point hold time of at least 2963 s.
The phase compositions and crystal structures of the samples were determined from X-ray diffraction data using the International Center for Diffraction Data (ICDD) PDF4 database.
Borisenko, Selection of the operating mode of BLT using the data on gas distribution on the grate and the shape of the melting zone in the lower part of the furnace, Metallurgist, 11 (2017) 40-46