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Further, based on the obtained inspection data, we discuss the quality issues of the present SiC wafers from the standpoint of device manufacturing.
The surface data are collected by spiral scan of the laser beam on the spinning wafer.
From the analysis of the long-term trend of the incoming inspection data, the number of micropipes on a 2-inch SiC wafer is almost zero.
These data imply that the cleaning process before the shipping of SiC wafers is insufficient.
Based on the inspection data, the quality issues of the present SiC wafers are discussed.

The reduction of natural frequency could be used to evaluate the fatigue damage of structures.
Figure 2 shows the setup of the experiment system including Y51150 electrodynamic shaker, specimens and fixtures, and data acquisition system.
The reduction of natural frequencies of type Ⅱ begin earlier than that of type I, but the rate of reduction of type I is faster and achieved 5% default failure threshold firstly.
The reduction of natural frequency can be used to evaluate the structural fatigue damage.
[8] Gao Zhentong: Fatigue Test Design and Data Treatment.

The quad search tree can be applied to all the two-dimension data.
It is characteristic of large quantity of data and information.
Quad Tree Quad Tree for Spatial Data.
This quad search tree can be applied to all the two-dimension data excellently, including data of both spatial and non-spatial.
Suppose that R is a two-dimension data point given arbitrarily, we make a comparison on it with another two-dimension data point S.

The big data era enable us to carry out data operations based on the extremely large data volumes to realize the datamation of manufacturing industrial chain.
We can use the big data technology to carry out the data operation within the background of big data.
Meanwhile, cost reduction also depends on the accountant’s work, including measuring, recording and statement.
Meanwhile, the accuracy of data collection is the key to reliable data analysis results.
Big data:how do your data grow?

Simultaneously, at the cathode, reduction of the zinc ions, contained in a number of medicinal products, is possible.
Table 1 provides the data to determine COD, showing that complete oxidation time of the SA and its degradation products in the solution directly depends on the current density (Di).
The experimental data provided in Table 1 evidences that the system irregularity slows down the process, and the current density does not impact much to the rate of the reaction both when oxidizing SA and SSA.
Table 2 provides test data obtained at oxidation of Pasta Zinci-salicylata (preparation formula: salicylic acid – 1%, zinc oxide – 12.5%, amylum – 12.5%, yellow vaseline – up to 50%) and Salicyl alcohol (2% salicylic acid solution in ethanol), showing that the organic compounds of medicinal products undergo deep oxidation regardless of their chemical composition.
According to the infrared spectroscopy data, after neutralization of spent electrolyte where containing of organic carbon is equal 30 mg/dm3, solid wastes of lead sulphate contain the trace amount of the organic substances, which have hydroxyl-, and carboxyl- and keto-groups, on its surface.

The system equips with real-time collection, distant transmission, data storage, data uploading, index analysis, classified display and other functions in energy consumption data.
Fig.3 Data collector and energy management center telecommunication process Database Management The system adopts Oracle database[4] management software to realize functions of data checking, data package analysis, data splitting, automatic classified statistics，energy saving analysis, index comparison, abnormal electricity warning, graphic display, report management, data storage, data uploading, etc. 3.1 Date Storage Data collector receives energy consumption data and address, time, electric meter address code and other identification information of upper computer transmitted from underlying device metering (water, electricity, gas) in accordance with related rules.
By analyzing collected data from data package with data analysis software, it saves real-time energy consumption data after analysis to the corresponding position in Oracle database. 3.2 Data Splitting Main ideas of energy consumption splitting[5]: in the operation stage, it makes the hourly splitting on the real-time energy consumption data uploaded by far-end gauge, and it adds similar energy consumption data to obtain the separate hourly energy consumption value of each load.
Fig.4 Splitting calculation data processing flow figure 3.3 Analysis and Display It applies data mining algorithm to analyze and process separate energy consumption data that has been dealt already picked up from separate energy consumption database.
[S] notice issued by the State Council "Twelfth Five Year Plan" a comprehensive energy reduction program of work

Moreover, it allows for achieving global reduction instead of local zones of quiet.
These paths include electronics necessary for signal conditioning and data conversion.
The control performance is evaluated as noise reduction level observed by the room microphones.
Comparison of mean reduction measured by room microphones.
Comparison of mean reduction measured by room microphones.

Based on software GAMBIT, GT-POWER,SYSNOISE,through comprehensively using finite element and boundary element method,simulating and analyzing the acoustic performance for the basic noise reduction unit,establishing the finite element model, comparing the frequency and noise reduction of different volume ratio of cavity and throat tube.Simulation analysis and experimental results show that the resonant structure parameters have a direct effect on its resonant frequency and noise reduction amount. the relationship characteristic between them is that the ratio more bigger,the requency and noise reduction amount more bigger , too.And draw the two relation formulas through calculation.
Table 1 Data for volume ratio unit: [m] Number D d h1 h2 R V1/V2 N14 0.12 0.03 0.05 0.16 0.10 5:1 N15 0.15 0.05 0.111 0.10 0.10 10:1 N16 0.18 0.06 0.133 0.08 0.10 15:1 N17 0.20 0.08 0.16 0.05 0.10 20:1 N18 0.09 0.06 0.03 0.135 0.10 1:2 N19 0.10 0.05 0.04 0.160 0.10 1:1 Through the acoustic finite element analysis , as shown in Fig.3.
Table 2 Relationship for volume rate with frequency and noise reduction Number V1/V2 f(Hz) Noise Q(dB) N14 5:1 130 11.0897 N15 10:1 145 20.8999 N16 15:1 145 43.4252 N17 20:1 180 51.1036 120 130 140 150 160 170 180 190 0 5 10 15 20 25 The volume ratio for cavity and throat tube Frequency（Hz） Fig.4 Relationship for volume rate with frequency 10 15 20 25 30 35 40 45 50 55 0 5 10 15 20 25 Noise reduction（dB） The volume ratio for cavity and throat tube Fig.5 Relationship for volume rate with noise reduction The relationship for Cavity and pipe volume ratio with the resonance frequency ,shown as regression analysis index function Eq.3
The data may be transformation into the follow table,shown as Table 3.
Miniature car noise reduction experiment [J].

Can be seen from the above data, the Henan power grid to reduce energy loss and huge economic growth potential.
To some extent hindered the company effectively and timely tracking, supervision, promote grass-roots unit of line loss management. 3.Henan power line loss management system framework The line loss management system in Henan power grid, based on the unified data model, unified, unified coding, the loss will be distributed at the power supply company governs all voltage levels within the scope of the calculation basis for data integration, establish the loss database, eliminating the "information island" loss, forming a data integration platform.
Based on this platform, line loss management system project in the province and city power supply company scheduling in SCADA system, OMS system, electrical energy management system, substation meter reading system, power marketing of power information collection system based on the data source, through the standard interface of building data correlation, the data cleaning, conversion, transmission to the enterprise service bus, supply subsystem extraction, selection.
(4) the line loss analysis system The comparison between theoretical and statistical line losses analysis, trend analysis, comprehensive electric line loss analysis, data display, data monitoring, anti-theft, electric monitoring and other advanced application functions with bulk users
The two basic function of the system implementation: (1) the data integration system Implementation of grid model management, system management, system maintenance, basic data query functions, for the theoretical line loss online calculation and "four points" statistical computing subsystem provides a standard data platform

Hydrogeology and Groundwater Hydrology Drilling data analysis.
Groundwater usage and groundwater level observation data.
Firstly, steady state simulation is conducted, and various hydrological parameters, and other input data, of the model are adjusted by the groundwater level observation data of the eight self-recording wells around the area.
As shown in Figure 5, the simulation results are fairly consistent with the groundwater level observation data.
The annual groundwater level of the STSP is 6 m from the historical data.