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The reduction rate is 39%.
Zhang Guangxue’s[2] test data showed that total suspended particles (TSP for short) emission concentrations is 66.87 mg/Nm3 from cement upstream kilns and 41.69 mg/Nm3 from downstream kilns.
Analysis on primary PM2.5 emission reduction from cement kilns and steel sintering machines In 2011, the production of cement clinker was 1.28 billion tons, and the production of steel was 695.5 million tons.
Table 4 The primary PM2.5 emission estimates from cement kilns and steel sintering machines in 2020 Unit: tons Industry Year cement kilns steel sintering machines In total 2020 313,500 135,600 449,100 2011 595,400 145,000 740,400 Reduction amount 281,900 9,400 291,300 Reduction Rate 47% 6% 39% As can be seen from Table 4: (1) For cement industry, when the backward kiln progress is eliminated, NSP is adopted, and the efficient PM removal technology is used, PM2.5 emission reductions are 281,900 tons, and the reduction rate is 47%, which is very remarkable
(2) For steel industry, when the backward progress is eliminated, and the efficient PM removal technology is used, PM2.5 emission reductions are 9,400 tons, and the reduction rate is 6%

Solutions responsible for data acquisition for management purposes should constitute integrated system, combining data sources located in the lowest layers of the production system, middle-layer sub-systems responsible for the initial interpretation, data pre-processing and reduction of the amount of data, as well as communication interfaces and industrial database responsible for robust data archiving [4].
MIAS data sources.
The process of data integration can be divided into two phases – the pre-processing (basic data manipulation, such as formal verification of correctness, analog-to-digital conversion, digitization and reduction) and aggregation of information [11].
It allows significant reduction of data amount and facilitate further analysis due to initial interpretation of dispersed information [13].
Data archiving in MIAS.

For instance, data collection and transmission etc may introduce noise.
Therefore in practice we must carry out denoising before analyzing measurement data.
For general 0≤a≤1, The size of data estimated by this method is between soft, hard methods, so it is called soft and hard thresholds compromise methods.
Example analysis This section adopts a set of RTK dynamic deformation monitoring data observed by GPS continuously to carry out denoising experiment analysis.
GPS and GLONASS combined measurement and research on deformation monitoring data processing.

It is shown that for ultrafine grained materials obtained with severe plastic deformation methods, the value of elongation up to fracture fδ does not determine ductility, while the reduction of area up to fracture ψ does determine it.
In material science, ductility of coarse-grained materials is estimated using elongation fδ and reduction of area ψ of a specimen in tension up to fracture.
In the first approximation, using the data in [7], we get the following relation: 55.02 0ln 2               = n n n D D R D
(17) Comparing the Eq. 17 and Eq. 13 shows that neck formation and a subsequent reduction of its smallest cross-section diameter lead to the growth of stress triaxiality and damage intensity.
Reduction of area for commercial pure titanium as a function of the von Mises strain during TE a b C Fig. 5.

The polylol reduction method was then adopted to prepare the cuprous oxide and activated carbon composite material.
This paper take on the polylol reduction method in activated materials, join the filter parts of tobacco, studies the behaviors that activated carbon/cuprous oxide to degradation HCN.
SEM analysis of samples In order to investigate the distribution of Cu2O on the activated carbon, scanning tunneling microscope was used to analyze Cu2O/AC which was synthesized via polylol reduction method，the results were shown in Figure 1.
The data in Table 2 indicated that the concentration of hydrogen cyanide in the smoke which showed composite activated carbon in the filter has a certain absorption capacity, however, the performance could be improved.
(a) (b) (c) Figure 4 SEM of products under different stirring time: (a) 3 h, (b) 5 h, (c) 7 h Conclusions By using polylol reduction method, the composite compound of activated carbon/ cuprous oxide which cuprous oxide grain was evenly distributed on carbon would be successfully prepared.

Sample size determination was done from pilot study data and 3 specimens per group were determined to be adequate for statistical analysis.The specimens were placed individually in a 400 ml glass beaker (Pyrex; Dow Corning, Corning, NY), containing 200 ml of tap water.
For the flexural properties, data was analyzed using the non-parametric Kruskal-Wallis test.
When compared to the control, a total reduction of 94% to 98% biofilm was seen at 120 s for both 850 W and 1000 W for all four yeast species tested.This was the highest reduction seen from all the groups.
Control 850 W 1000 W 90 sec 120 sec 90 sec 120 sec 71.115 69.444 69.338 69.768 69.002 Discussion The data obtained from the study supported the rejection of the null hypotheses that the microwave did not reduce adhesion and biofilm quantities of the candida cells.
Although slight reduction in the flexural strength of the PMMA resin was noted when compared to the control specimens, the data was not statistically significant.

The weight analysis, and the reduction of the width strut were conducted.
The data in Table 1 is presented in graph form as shown in Fig. 8 and 9, where the symbol of A until F are the same as explained earlier in Fig. 6 and 7.
The data from Table 2 is presented as a graph form as shown in Fig. 10 and 11, where the symbol of A until F are the same as explained earlier in Fig. 6 and 7.
Table 2 Width strut reduction of cardiovascular stent Process Reduction [mm] Reduction [%] Electrical discharge machining - - Degreasing - - Acid pickling 0.002 0.92 Electropolishing 3 minutes 0.028 11.02 Electropolishing 7 minutes 0.142 37.56 Electropolishing 11 minutes 0.262 69.31 Fig. 10 The width strut reduction vs. processes Fig. 10 shows that the width strut reduction is not occurred in degreasing as explained earlier.
The width strut reduction after acid pickling is only 0.92%.

Therefore, setting up green, low carbon development concept, focusing on energy-saving and emission reduction,developing the energy consumption carbon footprint research have special practical significance on energy saving and emission reduction and the development of low carbon economy in China.
Research methods and data sources Carbon footprint calculation.
As there is no direct detection carbon emissions data of China at present, most of the studies are based on the energy consumption calculation.
Data source.
In this paper, relevant data derived from " Guangdong Statistical Yearbook ", " China Environment Yearbook ", " China energy statistical yearbook".We selected main fossil fuel (coal, oil, natural gas ) consumption volume data for the carbon footprint calculation of Guangdong Province,and also collected the population, The per capita GDP, total energy consumption per RMB10,000 turnover and the per capita forest land area ( including forest and grassland ) of Guangdong Province in recent years to analyse it.

Cost reduction in magnesium alloys would be expected with increasing the volume of magnesium alloys used.
However, the reduction in the cost of producing primary magnesium will have a direct effect on the volume of magnesium alloys used in automotive applications.
Cost reduction in magnesium alloys can also be achieved by increasing its recyclability.
Also, utilization of 2-cavity cold chamber die casting enhances productivity leading to cost reduction.
At the start of design, we gathered all the data available that could impact the magnesium SCLH module being developed.

Introduction Coupling refers to a series of complex processes produced by the information parameters controlled each other and the data information transmitted each other between two information modules and data modules.
Common coupling requires multiple modules to use a common data set.
Control coupling controls other modules through transmitting data information [9,10].
Stamp coupling transmits data information through the module parameters.
Data coupling that is similar to stamp coupling transmits data information through the module parameters too.