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Introduction With the continuous reduction of the cost of the solar cell module and the worsening of the urban environment, the large area of the building integration (BIPV) has met the favorable conditions and opportunities.
Because environmental factors will have marked influence on outdoor tests, this paper mainly set up indoor test environment and through the outdoor experimental data to verify the indoor test program.
Therefore, in order to avoid the influence of the light radiation on the temperature measurement accuracy of the thermocouple, the temperature thermocouple is directly embedded in the back surface of the solar cell can obtain a more accurate data onto the battery temperature.
When the environment temperature is 20°C, the NMOT can be obtained by calculating by average value from the four temperature measuring points data.

Pareto Plot is a graph that shows the effect of a factor or set of factors on a response by plotting the relationship as determined by regression analysis of the data set.
Then Isight is used to write the input data and obtain the output data.
The following conclusions can be drawn from the current work: To practically realize the lightweight design for a car body frame, the reduction of design variables is a wise choice.

Regarding to production yield rate data during Y’2013, the yield rate was between 99.04% to 99.28% that were achieved the company target.
These information shows that the non-conforming part detection and inspection process could not detected non-conforming parts lead to inadequate improvement due to lack of feedback data and cause high sorting cost and return parts charging cost.
Field study and data collection FPCA manufacturing process was separated to front process which produced bare FPC in sheet level.
Monchai, “Rework rate reduction in Wooden Toy Factory Using Six Sigma Concept”, Master degree thesis of industrial management, Faculty of science, Chiang Mai University, 2009

It can be seen that all the strength and elongation data of the three quenching media could meet the requirements above.
However, the data of the charpy V-notch toughness for air cooling Q&T specimen were low and scattered.
Table 2 Mechanical behavior of the SA508-3 steel after Q&T (tested at room temperature) Quenching medium Yield Strength[MPa] Tensile Strength[MPa] Total Elongation[%] Reduction of area[%] Toughness[J] Water 510 655 26.5 74 190 Oil 455 615 25.0 69 130 Air 425 580 27.0 68 38,89,104 Conclusion 1.
Based on the data of mechanical properties, it’s found that the desired final microstructure of SA508-3 steel is tempered martensite, and it could be obtained by the tempering of water-quenched and oil-quenched specimen.

The feasibility of environment-friendly technology can be evaluated through fusion research of energy-environment for CO2 gas reduction.
Fig. 3 displays the TG data of Al2O3/PMMA composite, showing that the weight loss of the two samples is due to the decomposition of PMMA.
Fig. 2 SEM photograph of Al2O3 platelets Fig. 3 TG data of Al2O3/PMMA composite Al2O3/PMMA composites were in prepared two steps.
TG data suggested that Al2O3/PMMA composites are composed of 75%~85% Al2O3 ceramic platelets, which is similar to biogenic composite such as abalone shell.

Due to the uncertainty of the earthquake secondary fire and related many influence factors, existing earthquake fire probability model, mostly based on historical data of earthquake-induced fire statistics and summarized, the accuracy of single building fire probability model is less than the region probabilistic model[3].
The completeness and accuracy of GIS data is directly related to the accuracy of the calculated results, we should strengthen the management to basic data and updated in real time. 4.
The analysis method of earthquake secondary disaster is enriched and the application scope of the GIS system is expanded and provides a foundation for earthquake disaster reduction planning and the formulation of earthquake emergency plans.

The DSF building resulted in some reductions in heating and cooling energy consumption respectively, compared to the SSF building.
Weather Data.
Weather data applies EnergyPlus built-in hourly weather data of typical year in Tianjin.

Some working space size increases, achieve dimensions and reduction.
Transform angle  (Figure 2) can reduce the influence of element collision to the working space, determined by the computer data algorithm of optimal value, the model of 6X - 10 °, 15 ° is on the TM500 model. 4 Conclusion Fig. 7 Working space size and the angle of the platform along the axis The dotted line - the original data, the solid line - optimization data a）—6X b）—TM500 1.Six bar parallel machine workspace volume has the  complex space shape. 

For most materials at room temperature the anomaly increase of plasticity does not result in a significant reduction in strength [1, 2, 4, 6].
Classification of materials based on the grain size is problematic due to the lack of experimental data.
However, a significant amount of experimental data obtained for aluminum alloy 2024-T3 and D16, suggests that the impact of additional pulsed loads of different intensity at different levels of static deformation does not lead to a significant drop in strength.
Analysis of the data indicates a significant impact on DNP strength of small-grained titanium in comparison to coarse-grained aluminum alloys.

Deinking sludge pyrolysis technology can realize sludge reduction and inn˚Cuity.
(˚C /min) Fitting rage (˚C) Fitting equation Y=a+bX E (kJ/mol) A (min-1) R2 1(256-349) y=-6216.61066x-3.28677 51.68 1.162*103 0.99351 5 2(368-433) y=-83.26678x-13.07567 0.69 8.725*10-4 0.99098 3(668-688) y=-21724.66356x+10.06055 180.60 2.542*109 0.99244 1(274-369) y=-6553.65538x-2.98217 54.49 3.322*103 0.99568 10 2(378-449) y=-224.58257x-12.8921 1.87 5.655*10-3 0.99397 3(687-710) y=-25103.02759x+13.11411 208.70 1.245*1011 0.99317 1(294-366) y=-6662.8483x-3.10127 55.39 5.995*103 0.99727 20 2(388-437) y=-382.54731x-12.78882 3.18 2.137*10-2 0.99644 3(714-727) y=-29281.95x+16.76508 243.50 1.118*1013 0.98100 1(300-381) y=-6686.79277x-3.11802 55.59 8.876*103 0.99588 30 2(402-471) y=-314.45663x-12.75809 2.61 2.716*10-2 0.99540 3(736-752) y=-30485.23608x+17.26093 253.50 2.868*1013 0.98003 1(306-391) y=-6873.12005x-2.91096 57.14 1.496*104 0.99741 40 2(407-472) y=-321.68026x-12.74934 2.67 3.737*10-2 0.99653 3(749-764) y=-31750.30083x+18.1244 264.00 9.444*1013 0.98137 Table 3 data
showed that the liner correlation coefficient (R2) was more than 98%, then theoretical data fit the experimental data very well.