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Digital mine is to establish a series of different levels of prototypes, systems, material models, mechanical models, mathematical models, information models and computing models by means of modern spatial analysis, data collection, data mining and knowledge discovery, virtual reality, and visualization and internet, multimedia and computing technology [3].
Its core technologies contain data collection and high-speed transport network technology, distributed spatial database and WebGIS technology and spatial data warehouse and spatial data mining technology, 3D virtual reality technology and dynamic simulation and artificial intelligence technology.
Its key technologies involve computer network technology, large database technology, virtual reality technology, computer graphics technology, multimedia technology, monitoring and data storage technology, data mining technology and spatial information technology, etc.
But digital mine demands a basis and open 3D visual platform to manage spatial data, mining geological data and production data, meanwhile, to integrate production control system and monitoring system, etc. this platform has a unified management and analysis for temporal and spatial data
In fact, “smart mine” includes four elements： mine information sensor used for data acquisition, communication information network, information storage device, information process system.

If the neural network learning was successful then ny≈0 for all the training data set.
Then a novelty distance (Euclidean distance [7,10]) was calculated by feeding the network with testing data [10].
The first two principal components that contain the highest data variance are plotted.
PCA projection of training data on RBF network centres of INNER sensor 2.
PCA projection of training data on RBF network centres of OUTER sensor 2.

The performance test of mixed flow pump The test of pump according to GB3216—89 (The performance test of centrifugal pump, mixed flow pump,axial flow pump and vortex pump), data are as follows: Table.1 Testing parameters of pump performance Design parameters Flow Q(m3/h) Lift H(m) Efficiency η(%) Rotational speed n(r/min) Designed values 2000 8 55 755 Measured values 2100 7.6 47 723 Technology features Application range.
Comparing to the similar performance sets in home area, this set has a more than 35% reduction on weight, which made it very practice to be applied in small reservoirs in remote regions with no road to get on dams or even with only walkways.
The design of the support structure of blade wheel axis is changed from traditional jib arm to simple supported beam, which gets the profit below: as the stress condition of wheel axis is changed, the running stability is improved significantly, the vibration and noise are reduced, the problem of overheat of bearings in jib arm supporting point which has a negative influence on continues running are solved fundamentally, and the weight of this part gets a reduction of more than 50%.

This result is consistent with the better sinterability displayed by ZrB2 powders obtained by SHS as compared to the analogous product prepared otherwise, specifically by replacement reaction and carbothermic reduction process [15].
Thus, composites sinterability was in this case likely improved by the reduction of diffusion distances among the three ceramic phases produced in situ by SHS.
Barin: in Thermochemical data of pure substances (VHC, 1989) [10] W.W.

. % NaCl solution used was around 6.0, the most possible cathodic reaction would be the reduction of the dissolved oxygen (Eq. 1) [12].
Potentiodynamic polarization curves of electroless coatings prepared with various concentrations of SiC particles Hence, in non-deaerated condition, the reduction of the dissolved oxygen could give rise to an increase in pH closer to the coated surface.
Table2: Electrochemical data obtained from potentiodynamic polarization curves of electroless Coatings prepared with various concentrations of SiC nano-particles.

The graph method implies analyzing the diagram of the explanatory variable which in the given case is characterized by relatively low scatter of the data cloud from the linear trend line.
With the principle of natural resource use on the paying basis realized correctly the increase of the ecological payments paid by the natural resource users must promote pollution reduction.
Ecological payments elasticity of emissions known we arrive at possible reduction of emissions into the atmosphere by 7.06%.

Bosseboeuf (1997) defined energy efficiency from both technical and economic aspects: the technical energy efficiency was the reduction of energy consumption caused by the technological progress, the changing of life style, the improvement of management efficiency; the economic energy efficiency referred to getting more economic output and better quality of life with less energy investment.
In 2006-2010, per unit of gross domestic product (GDP) energy consumption in China fell by 19.1%, which basically realized the binding targets (20%) set by "Eleventh Five-Year Plan" set, and initially twisting the increasing trend of late "Tenth Five-Year Plan" per Unit of GDP energy consumption and emissions of major pollutants; “ ‘Twelfth Five-Year Plan’ Comprehensively Energy saving and emission reduction work plan” clearly required that National per ten thousand GDP energy consumption fall to 0.869 tons of standard coal (by 2005 prices) until 2015, down from 1.034 tons of standard coal in 2010 by 16%, down from 1.276 tons of standard coal in 2005 by 32%, achieving the energy saving goal of 670 million tons of standard coal during "Twelfth Five-Year Plan" period.
Tab.3-2 Unit GDP Energy Consumption in Different Regions of China [tce / million] Regions 2011 2010 2009 2008 2007 2006 2005 Beijing 0.46 0.58 0.61 0.66 0.71 0.76 0.80 Tianjin 0.71 0.83 0.84 0.95 1.02 1.07 1.11 Shanghai 0.62 0.71 0.73 0.80 0.83 0.87 0.88 Jiangsu 0.60 0.73 0.76 0.80 0.85 0.89 0.92 Zhejiang 0.59 0.72 0.74 0.78 0.83 0.86 0.90 Guangdong 0.56 0.66 0.68 0.72 0.75 0.77 0.79 Shandong 0.86 1.03 1.07 1.10 1.18 1.23 1.28 Hebei 1.30 1.58 1.64 1.73 1.84 1.90 1.96 Shanxi 1.76 2.24 2.36 2.55 2.76 2.89 2.95 Chongqing 0.95 1.13 1.18 1.27 1.33 1.37 1.42 Qinghai 2.08 2.55 2.69 2.94 3.06 3.12 3.07 Ningxia 2.28 3.31 3.45 3.69 3.95 4.10 4.14 Data sources： China statistical yearbook (2006-2012) The Wide Gap Between China’s Energy Efficiency and the World Advanced Level.

The authors thought that the reduction of friction coefficient and achievement of a good, durable performance of MWCNTs coating were contributed to three factors as follows: (1) Friction resistance is minimized by rolling motion of the cut or broken MWCNTs and the short graphene lamellae in the wear track
According to the data in Fig. 9 and Fig. 10, all of the tested SWCNTs materials exhibited friction coefficients actually lower than traditional carbon materials.
Friction-reduction, high load-capacity, and anti-wear can be achieved at the present of CaCO3 nanoparticles in PAO oil.

Moreover, the Ge atom diffusion into the channel from the source SiGe layer leads to a graded heterejunction, resulting in the reduction of injected electron velocity in the SHOTs [12].
Circles and triangles show the data of SSOIs and SGOIs, respectively.
DGM considering the tunnel effects continues to increase with increasing DEC, although simulation results without the tunneling effects indicate the reduction of the GM increase at high DEC.

Scaling-down of the CMOS dimensions require the reduction of the silicon dioxide (SiO2) gate dielectric thicknesses to be below 2 nm in equivalent oxide thickness (EOT) [2{Formatting Citation}].
As the reduction in its thickness cause some critical problems such as an increase in the gate leakage current and high power dissipation, the utilization of SiO2 in the nanoscale regime becomes impractical [3].
The completed response for Vth data is shown in Table 3.