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Then the piezoelectric crystal sensor, blanking die, data acquisition instrument about force and stroke are installed onto hydraulic press machine and bench, and adjusted correctly; put the sheet on the top of the concave die, punch and run the data acquisition device [2].
After the test, collect and analyze the punching datas.
After blanking force over the maximum value, when the effect of a shear stress reduction area is more than the effect of material work hardening, blanking force starts decreasing.
Second, the reduction velocity of blanking force simulated is faster than the actual one.

Computer simulation technology is a very complicated professional technology, data acquisition system using data acquisition card generally is expensive and difficult to exactly match with the actual demand.
Sound card as the data acquisition card has the advantages of low cost, easy development and system flexibility.
(2) the simulation modeling aspects: in addition to adapt to the development of computer software and hardware environment and constantly research new algorithms and the development of new software, modern simulation technology adoption model separation technology with the experiment, namely the model data driven (data driven).
Data validity Problem of entity To verify the simulation results A simulation model checking The simulation model The conceptual model Design entity Validation of the conceptual model Figure 2 VV & A and M & S along with the development of reliability research in recent years and puts forward the simulation test and evaluation (hereinafter referred to as the T & E) [10], reliability and use it as a organic whole, referred to as reliability assessment.
[2] Balaji Raghavan, Liang Xia, Piotr Breitkopf, Towards simultaneous reduction of both input and output spaces for interactive simulation-based structural design [J].

This depends on the characteristics of the particular load data.
The basic idea is to compress the load data acquired in the first time domain (sampling rate) into equivalent load data for the second time domain (load step).
Then, additional interfaces for data exchange are needed.
In the control the load data are captured.
The purpose of the module Load data compression is primarily the generation of equivalent load data for a load step of the thermal model.

The temperature is measured continuously using a K type thermocouple and is recorded using an online data acquisition system.
The online measurement of temperature is done by using a National Instruments cDAQ -9174 chassis with NI 9211 four channeled Data acquisition system designed for thermocouples.
Fig. 4.Bubble formation on the surface at 150°C Results and discussion: The variation in temperature with the evaporation time is analyzed using the values stored using data acquisition system.
Also, the time obtained till which the temperature reaches that of the initial surface temperature without the droplet is recorded from the results stored using Data Acquisition system.
The reduction in temperature will retard the rate of pad wear.

It will send data to SIM900A via the serial port, and then sent the data to the remote server.
At the same time, the server sent data to SIM900A and then the data will be received via a serial port.
LPC17xx will have the corresponding processing according to the data type.
Table 1 shows the data format of receiving update package.
The same CRC code indicates that transmitted data and received data are consistent.

Related data show that the building of central air conditioning in operation load rate is low.
Meanwhile, it is not suitable adopting the way of the cable for the part of the data collection such as indoor temperature, humidity and other micro-meteorological environmental data.
The system can automatically collect data timed according to the user setting.
The specific function is user generated commands to the device through the interface of data acquisition, the system responds by calling the data acquisition interface devices to obtain data.
Discussion on the central air-conditioning energy saving and reduction of energy consumption [J].

The data can be used for customers’ complaints and refund.
All of these done by the heating company can achieve the goal of energy saving and emission reduction.
There are 30 sets of data to be calculated.
If the check code is error, the terminal retransmits the data to make sure that the data is correct.
The data are saved in the SQL Server database.

However, due to the hospital information system data-processing complex, high-throughput, data, delete / update / insert operation frequently, while up to the efficient data processing, timely and accurate characteristics, sometimes leads to low hospital information systems efficiency, so how to improve the performance of the hospital information system, improve the system throughput and reduce user wait time, optimize the hospital information system is the primary problem.
(3) The number of hit sort field, the system global area (SGA) values ​​and data storage technologies
In shared pool store high-speed buffer memory and data dictionary caches SQL statements.
If the shared pool is too small, then when the user process access the data, it is possible to find no data, have to read the information on the disk.
SQL is a structured query language, its implementing process includes the statement analysis, statement execution, the statement reads data three stages.

According to the data of the effective access, the key is to build dynamic performance test platform to realize the dynamic testing nc machinery and the basis of performance, analysis and evaluation.
Rule is the data mining technology rules samples.
Inductive analysis of the sample data acquisition and design fault samples of the sample under test data base, can realize storage and retrieval, management and maintenance of the data and samples, and help realize sample data, using data and information integration, and reconstruction base construction.
Perform dynamic performance sample data acquisition on the characteristic signals of the machine, such as displacement, speed, acceleration, amplitude of vibration, frequency and work piece stress.
Research on Data-Driven Nonlinear Fault Prediction Methods in Multi-Transform Domains for Electromechanical Equipment[C].

With the production water injection pump unit consumption data for training data, prediction results show that this method can achieve good prediction effect.
Introduction Today in the oilfield of energy saving and emission reduction work further, oilfield energy-saving management position have understandable, and energy saving target forecast and become the most important energy saving management.
This paper presents prediction method that based on BP neural network and QPSO, It effective use of the BP neural network mobility advantage, And the method to solve the BP neural network itself are easy to fall into the local minimum problem and the problem of slow convergence speed, It realize both advantages coexist, It reached the ideal test results, This method through a production water injection pump unit consumption indicators for training data, It proved the feasibility of this method.
QPSO optimized BP neural network chart Experimental Result This method has been used to in a energy saving production information system, Verify the actual data to the first production ore key energy consumption equipment water injection pump unit consumption.
Select 60 set of data samples as test object, including 40 group as the training sample data, and 20 set of data as a test sample.