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Fig.2 B/S structure of operation and maintenance system of petrochemical units The development structure has three layers: Data layer: Provide data store and management by data base server.
The data visit parts is responsible for opening the data in data base to the business layer.
In the DAL, a common connection part of data base is set up to establish the connection among data bases.
The middle layer avoids the direct operation to the data base, reduces the threat of being destroyed for the data base and promotes the security of the data base.
Through the security between the network and data center, the stability of operation and complete of the data can be ensured.

After subjecting the as-cast AA5083/0.33wt%Sc to 50% cryorolling reduction, the UTS increased to 404 MPa.
The 6mm thick scalped ingots were cryorolled to a thickness of 3 mm (50% rolling reduction) at -196°C.
The rolling speed was set as 4 m/min, with each pass having 10% rolling reduction.
The experimental values of all Al peaks correspond to the standard data (JCPDS).
In Fig.6b, the UTS of the AA5083/0.33%Sc increased to 404.2 ± 3.7 MPa after 50% rolling reduction.

Quantitative risk analysis is a method to evaluate risk and to identify areas for risk reduction.
Define the potential accident scenarios Evaluate the event consequences Estimate the potential accident frequencies Estimate & evaluate the risks Identify and prioritize potential risk reduction measures Fig. 1 CPQRA flowchart [1].
Therefore, results for t ³ 3.5 ms (last three data points in Fig. 5) are excluded and the quasi-steady fractal dimension (t = 2-3 ms) is used in the following discussion.
Together with the present experimental data, the previous experimental value [5] obtained by large-scale experiments and our previous results obtained by flame instability analysis [7] and computational fluid dynamics (CFD) calculations [8] are also shown in the same figure.
Although the present results are not inconsistent with previous data, detailed quantitative comparison is difficult because of experimental error of the present data.

In the ideal case test data are available for both states.
It is well known that low frequency vibration test data or static response data are not very well suited for detecting and quantifying localized small size damage.
Data acquired with scanning laser vibrometers may be used but also test data from static tests.
Examples for both types of data, modal data extracted from laser vibrometer measurements as well as static influence line data measured from a slowly moving load will be presented later in this paper.
In damage assessment it is well known that low frequency vibration test data or static response data are not very well suited for detecting and quantifying localized small size damage unless high spatial resolution of the response data is available.

This paper fixes the data of the ground settlement and moving calculation parameters by doing a back analysis of monitoring data which comes from ground settlement caused by subsurface excavation and combing with other engineering experience.
This research can reduce or avoid our country and people’s losing,meanwhile,it can provide technical support for the disaster prevention and reduction of underground engineering.The paper mainly make a numerical simulation analysis of which surface deformation caused by tunnel excavation affetes shear-wall frame at main city aera.
It can predict the settlement by using the probability integral method. the parameter is according to the local actual monitoring data’s back analysis and similar project.
Table 2 Prediction Data Of Surface Deformation X(m) -31 -24 -17 -10 -5 -2 0 3 6 11 16 25 34 W(mm) 0 1.8 2.9 5.9 8.1 9.6 11.0 9.8 8.7 7.4 3.9 2.2 0 U1(mm) 1.1 1.9 3.2 3.8 3.1 1.3 0.9 1.2 3.3 4.1 4.1 2.7 0 E1(mm/m) 0.09 0.18 0.20 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.18 0.23 0.09 T1(mm/m) 0 0.18 0.31 0.45 0.41 0.31 0.10 0.26 0.33 0.48 0.51 0.33 0.10 K1(mm-1) 0.01 0.03 0.03 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.03 0.01 ps： X means horizontal distance between measuring point and tunnel center .1 stands for calculation data of principal direction stress.
It can provide reasonable data for damage evaluation of the building on the ground.

Selective catalytic reduction (SCR) had significant effects on mercury removal and Hg0 re-emission rates across WFGD.
Selective catalyst reduction(SCR) systems used with wet FGD scrubbers may enhance mercury capture in the scrubber.
The reduction reaction of Hg2+ by sulfite ion such as HSO3- in weak acid condition was proposed as follows: Eq(1) Sulfite ion was from the absorption of SO2 in the absorber and its concentrations were related to absorbent type, liquid to gas ratio (L/G) in the scrubber, SO2 concentration at FGD inlet and oxidation modes etc [5].
OHM was performed at interval, and the OHM data are shown in Figure 4.
The OHM data shows that the additive has slight control capability in Hg0 re-emission.

Up to 80% and 33% reductions of biofilm mass were demonstrated on P. aeruginosa and S. aureus, respectively.
Table 1 Biofilm formation on PMMA resin 0 Vanillin (%) 0.1 0.5 commercial S. aureus 0.206+0.019 0.138+0.022a,b 0.170+0.040a,b 0.257+0.057 P. aeruginosa 2.382+0.027 0.441+0.197a,b,c 1.356+0.190a,b 2.430+0.162 S. pneumoniae 0.102+0.002 0.116+0.0005 0.109+0.0005 0.112+0.002 * data expressed as mean optical density + SD a significant difference from 0% vanillin group b significant difference from commercial group c significant difference from 0.5% vanillin group Approximately 80% and 44% biofilm reductions were noticed in groups of 0.1% and 0.5% vanillin against P. aeruginosa as compared with 0% vanillin group while 33% and 17% biofilm reductions were observed against S. aureus (Fig. 1).
The 0.1% vanillin group exhibited a significant reduction of P. aeruginosa biofilm mass compared with 0.5% concentration.
Up to 80% and 33% reductions of biofilm mass were demonstrated on P. aeruginosa and S. aureus, respectively.
Interestingly, the 0.1% vanillin group exhibited a significant more reduction of P. aeruginosa biofilm mass compared with 0.5% concentration.

The hot rolled sheets were pickled and subsequently cold rolled up to 0.5mm end thickness with 70% reduction.
The MTM-FHM software [10] was used to calculate the orientation distribution functions (ODFs) from the pole figure data obtained from the X-ray texture goniometer.
These materials were further cold rolled down to a reduction of 10% reduction.
After slight rolling reduction the surface was again examined in the x-ray texture goniometer and the phi2-45° sections are shown in figure 4.
The critical amount of light cold reduction @ 10% triggers the recrystallisation kinetics to lead the inward growth of surface grains along with their orientation at 800 0C.

This trend was in agreement with the results obtained from the XRD data, indicating that the smaller crystallite size gave higher surface area.
Temperature programmed reduction in H2 Figure 3 shows the TPR in H2 profile for bulk VPS catalysts.
The first and second peaks corresponded to the reduction of V5+ phase while the third peak was corresponded to the reduction of V4+ phase.
Increasing the activation duration in 1% O2/N2 shifted all the three reduction peaks to higher temperature.
Table 2 : Total amount of oxygen removed from the VPS catalysts by reduction in H2 Sample Temperature Maxima, Tm [K] Reduction Activation Energy, Er [kJ mol-1] Amount of Oxygen Removed, [mol/g] Amount of Oxygen Removed, [atom/g] VPS6 717 120 5.37 X10-4 3.23 X1020 859 143 4.72 X10-4 2.84 X1020 999 167 1.61 X10-3 9.69 X1020 Total 2.62 X10-3 1.58 X1021 VPS18 719 120 3.89 X10-4 2.34 X1020 839 140 6.52 X10-4 3.93 X1020 986 165 1.62 X10-3 9.75 X1020 Total 2.66 X10-3 1.60 X1021 VPS30 711 119 7.48 X10-4 4.50 X1020 857 143 3.89 X10-4 2.34 X1020 1012 169 1.81 X10-3 1.09 X1021 Total 2.95 X 10-3 1.78 X1021 VPS75 758 127 1.75 X10-3 1.05 X1021 863 144 5.74 X10-4 3.45 X1020 1000 167 1.94 X10-3 1.17 X1021 Total 4.26 X10-3 2.57 X1021 Selective oxidation of n-butane to maleic anhydride The details of the catalytic performance data for VPS catalysts were shown in Table 4.

The reduction effect of water pressure is more and more obvious from the tunnel crown to the elevation where the drainage holes are provided.
The reduction effect of water pressure is more and more obvious from the tunnel crown to the elevation where the drainage holes are provided.
Generally, for the invert is closer to the drainage hole, it enjoys better reduction effect regarding to the water pressure behind the lining walls than tunnel crown.
Nevertheless, for the water pressure behind the walls at the tunnel crown represents the overall characteristic of the water load reduction around the segment lining, it is still recommended to take the water pressure behind the walls at the tunnel crown as the reference for evaluating the reduction effect.
It is worth mentioning that: the quantitative data in this paper is gotten under special physical mechanics parameters for water head and wall rock, which can only be used as the reference for similar projects rather than for direct design.