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However, with the influence of petroleum reserve reduction and the demand of work efficiency, the development of new pumping unit is developed rapidly.
Therefore, in ensuring the yield, increasing length of stroke and reducing times of stroke is a basic requirement to realize energy saving and consumption reduction.
Then, through the real-time acquisition of data by EQEP and GPIO, the collected data as the initial data of vector control algorithm or there is no sensor algorithm, directly participate in the program operation.

However, the published data regarding the research conducted on the heat treatment of FSW welds involving 7075 aluminums is not full.
The data reveals a consistent trend wherein non-heated samples exhibit a mean tensile force of 2200 ± 78 N and an average elongation of 23.8 ± 0.16%.
In other words, when subjected to heating, tensile samples generally exhibit increased elongation and decreased force, as evidenced by both non-heated and heated data.
The results indicate that the heat-treated sample exhibits lower hardness values compared to the remaining sample across all points within the welded area, thereby providing evidence that the heat-treatment technique leads to a reduction in sample hardness.
The results of the hardness test indicate that the application of heat during the welding process led to a reduction in hardness within the heat-affected zones.

Table 1 Casing technical parameters parameters OD /mm Thickness /mm Internal pressure strength /MPa Collapse resistance /MPa Intermediate casing 339.7 13.06 34 19.9 Production casing 244.5 13.84 66.7 54.8 Table 2 Casing and fluid parameters parameters unit values E， the elastic modulus of steel MPa 2.05×105 α ，steel coefficient of thermal expansion 1/℃ 1.2×10-5 μ ， steel poisson’s ratio － 0.3 αc1 ，completion fluid volume expansion coefficient 1/℃ 7×10-4 Ec1， completion fluid volume modulus of elasticity MPa 2200 αc1, compressible fluid volume expansion coefficient 1/℃ 1.4×10-3 *αc1 is a backstepping data.
Table 3 Comparison of gas quantity of proposed method and experiment Annulus pressure reduction Gas amount of Experimental data Gas amount of proposed data error 40% 1% 0.75% 25% 50% 1.5% 1.2% 20% 65% 2% 1.9% 5% 70% 2.5% 2.3% 8% 75% 5% 4.5% 10% From the table 3, we can see that the error is basically between 5%~25%, this may be caused some values of the parameters and the actual difference.
Conclusion In this paper, using the gas and liquid mixed fluid bulk modulus calculation method, quantitative analysis of the annulus pressure reduction need to the length of a compressible fluid.

Introduction With the rapid development of the economy and society, energy becomes more and more shortage, and environmental pollution is getting worse, the state pays more attention to the environmental protection and the aspects of energy conservation and emission reduction.
Primarily responsible for closed loop PID operation, analog data processing, control inverter and computer communications.
Man-machine interface is an important input and output devices, it can real-time communicate with on-site PLC controller for data exchange, and easy to remote monitoring the operational status of the entire system.
(3) Load reduction: When the load is reduced, water demand , less water supply capacity, pressure rise, the pressure feedback signal increases, the deviation deviation, PID control output incremented <0, the inverter output frequency decreases, the pump speed is reduced, diminished water supply capacity, and finally reach a new equilibrium, the pressure to restore and maintain balance between supply and demand.
Fig. 4 Digital PID control algorithm for incremental flow Man-machine Interface Design In order to make the system more practical,timely and quick to read the test data and set at a predetermined pressurevalue, this project was designed based on Asiacontrol HMI configuration software monitoring system PC, PLC controller with on-site communications, the collected real-time pressure communication to HMI displays, enter the man-machine interface can be freely set pressure value and PID parameter,and then downloaded to the PLC real-time controller, after PID operation, the inverter output corresponding frequency, control the speed of the motor, and ultimately achieve constant voltage control purposes.

They lacked substantial procedures, leading to incessant modifications of the data analysis methods and major steelmaking variables.
To improve the current manufacturing process, this study implements six sigma-based systematic approaches called DMAIC (define, measure, analyze, improve, and control) to optimize steelmaking variables of the sulfur free-cutting steels for process improvement and cost reduction.
We first proceed to define and measure phases based on the underlying production data of the sulfur free-cutting steels, then we find the optimal process parameters as the result of the analyzed phase, and finally, we carry out improved and controlled phases to ensure the process improvement and cost reduction.
Based on the data collected from January - June 2012 with 20 heats/month, we find the linear regression between EP[Mn] (dependent variable) and EP[C], FeO, and EPT (independent variables) shown in Eq. (1).

Since in many cases biorecognition molecules are immobilized on gold-coated supports, antibody reduction and immobilization via sulfhydryl groups is a very convenient technique.
Methods Antibody reduction to Frag-Ab.
Data processing.
The obtained data were processed using QSoft program (Q-Sense, Sweden).
Even supposing that the use of this equation might result in inaccuracies in calculation of the results, it greatly simplifies the data evaluation process while still giving correct information for comparison of different systems and evaluating the kinetics.

Making use of the data of 31 major cities from 2005 to 2010 in the case of China, this paper analyzes the economy-environment relation by employing Panel Data Model.
The major literature about the economy-environment relation is focused on the different countries or the individual country employing the cross-country data or the time series data.
Moreover, some studies employ the Panel Data Model, which simultaneously consider the cross-country and time series data.
The data get from Chinese Statistical Yearbook and Chinese City Statistical Yearbook.
So the Panel Data Model to be estimated is shown in Eq.1

An SCTP packet, or protocol data unit (PDU), consists of one or more concatenated building blocks called chunks: either control or data.
If the primary path fails, SCTP uses one of the alternate paths to transfer data.
Through RTT and available bandwidth, we predict the arriving time of data packets on one path, and then give a reasonable path selection strategy to make sure that data arrives in the right order.
As a combination ​​segmented features of SCTP, the small set of data message can be integrated in a data packet for transmission, here we assumed the packet size is maintained the maximum.
For our tests we assume that the source transmits a 1MB data file to the destination and the packet size assumed for the data transfer is 2186 bytes, so the total packet number is 479.

In order to avoid the reduction of carrier lifetime into the channel due to ion implantation and trench etching, an ad-hoc fabrication process has been set-up to enable the conductivity modulation into the channel.
Assuming that the cell area is 1350µm2, we compared the theoretical on-state specific resistance, RON,teor, obtained from [15], with that extracted from the experimental data, RON,exp.
Such reduction of RON can be ascribed to an improvement of the conduction due to conductivity modulation.

There are many potential functions of applying pre-tensioning forces, such as improvement of component rigidity, reduction of machining deflection, and holding of components to counteract the machining forces etc.
Guo and Zuo et al. [5] showed that the stretched fixation, a kind of fixturing strategy by stretching components with single axial direction forces, produces machining deformation reductions compared to normal fixation in FE prediction in end-mill machining operation.
The data collected are deflections of thin flat-bars and static loading forces in Z-direction.