Applied Mechanics and Materials Vols. 475-476

Abstract: In order to obtain the real-time hydrological information, and conduct the analysis and early warning on hydrological data, this paper studied the water level acquisition algorithm, used the dissection method to make the water level more accurate, optimized through image refining to reduce the complexity of the algorithm; it designed the data acquisition module of water level detection system, realized the real-time data transmission through programming, used Microsoft Access database to exchange data between server and communication module, manipulated data in the database, and designed the human-computer interaction interface; experimental studies have shown that this system can have access to information in a real-time and accurate way, and has the functions of warning, settlement &accumulation, statistical analysis and so on, which effectively improves the water level monitoring automation and control level, and helps to improve the management level of the hydrological industry.

Abstract: Introduced the use of 3D time baseline parallax method of steel structure,calculation of deformation measurement data processing methods, and the experimental results are given. This method considered the resolution, focal length, and the impact of external environmental conditions. Has made the small observation error, high precision results.Digital cameras used for digital photographic survey, avoid the complex process of measuring cameras printing. The photographic measurements can be performed simultaneously inside and outside the industry.So far, more suitable for digital camera solver methods are direct linear transformation and time baseline parallax method. Among them, 3D time baseline parallax method is mainly used for measuring spatial displacement of objects.

Abstract: This paper describes a embedded system,using ARM processor LPC2148 as the core of hardware,and using MQ series gas sensor as the detection component,and using ENC28J60 as the network communication interface,and using uc / OS-II real-time operating system as software platform for the real-time remote monitoring of density of harmful gases indoor.In this system,voltage signals from MQ sensor will be processed by the ARM micro-controller and be displayed in the LCD.Then they will be compared with the set voltage value.If they are greater than the set value,sound and light alarm will be touched off,and data will be transfered to the network through the ARM ENC28J6 network interface.Above all,the system is able to achieve accurate detection, alarm and remote monitoring indoor dangerous gases.

Abstract: Multi-touch wireless monitoring technology is one of the industrial control fields of human-computer interaction in the future development direction. The multi-touch system is based on android. We install it into the android system comes with a mobile terminal and WIFI will transfer all kinds of control signals to the industrial PC or embedded platform with WIFI module. And the embedded platform will complete the decoding and control PLC, so the multi-touch based on the android system of industrial control will be implemented. It can provide an effective solution for multi-touch applications in industrial fields.

Abstract: This paper describes a RPC-based distributed energy-saving monitoring system under network environment. It solves the contradiction between energy saving and security lighting. With the help of intelligent energy-saving street-lamp controller network, real-time statistics and analysis are implemented for each street-lamp node in the surrounding street scene environment. According to the analysis results, demand-controlled lights brightness level is realized and the intelligent control of lights is also realized. So the street lights achieve demand lighting, which can facilitate the life and save energy.

Abstract: In photoacoustic (PA) technology, piezoelectrical transducer (PZT) is the most frequently used detector for the PA signal generated by weakly absorbing liquids. Although PZT has high sensitivity, its output signals are distorted and become exponentially damped sinusoidal signal [, which is a barrier to extract correct information of glucose. Therefore it is necessary to find a proper way to extract glucose information. In this paper, a method of parameter estimation based on Laplace wavelet correlation filtering and Least Square Estimation is proposed to extract the information of PA signals, which includes signal decomposition, fitting and glucose parameter extraction. The Laplace wavelet correlation filtering is introduced to decompose piezoelectrical signals into impulse responses of single mode subsystems [2], followed by a Least Square Estimator to fit PA signal and estimate parameters of the exponentially damped sinusoidal model [3]. Good agreement between the fitting model and the PA signal is obtained. Experiments are carried out on finding meaningful parameters indicating glucose among estimated parameters of the exponentially damped sinusoidal model.

Abstract: To meet the requirement of testing project which multiple sets of devices need to be tested in one temperature test, a kind of data selector has been designed. The data selector can be controlled in computer-programs method or in manual method. It is composed of FPGA module, channel gating controller module, data receiving module, data retransmission module, indicator light module and power supply module. As the core of this testing device is designed as FPGA, its flexibility and simplicity has been enhanced. At the same time, the delay time of each channel can be set so that the precision in the transfer process has been improved accordingly. The stability and practicability have been validated through rigorous self-checking test and continuous-testing experiment. Using this data selector in engineering project can save the cost of hardware greatly, shorten the test time and improve the efficiency.

Abstract: A kind of device for data storage is realized in this article. The data storage device (DSD) has USB and I²C port. By it we can transmit data from terminal for measure and control that base on SCM (single-chip microcomputer) to PC easily. DSD use EEPROM CMOS chip AT24C512 for storing data, and use USB chip CH341 for transmitting data to PC. This article showed AT24C512, CH341 and the characteristic of I²C BUS. The hardware for taking data and software for communicating between terminal and PC were designed in this article.

Abstract: The background noise is one of the key factors that interferes the radio monitoring. How to efficiently extract original signals from noises is important for the signal-to-noise separation algorithm. Recently, several algorithms have been proposed to extract signal on certain conditions, which also have their limitations. This paper first reviews and discusses the existing signal-to-noise separation algorithm. Then, we propose a piecewise adaptive threshold algorithm based on the principle of smoothing filter. The algorithm can be adjusted adaptively with the change of the external electromagnetic environment, and can be applied in a wide monitoring frequency bands.

Abstract: stable distribution has been suggested as a more appropriate model in impulsive noise environment.The performance of conventional time-frequency distributions (TFDs) degenerate in stable distribution noise environment. Hence, three improved methods are proposed based on Fractional Low Order statistics, Fractional Low Order Wigner-Ville Distribution (FLO-WVD), Fractional Low Order Statistic pseudo Wigner-Ville Distribution (FLO-PWVD), Fractional Low Order Statistic Cohen class distribution (FLO-Cohen). In order for real-time, on-line operation and fairly long signals processing, a new smoothed pseudo Fractional Low Order Cohen class distribution (PFLO-Cohen) is proposed.Simulations show that the methods demonstrate the advantages in this paper, are robust.