Applied Mechanics and Materials Vols. 644-650

Abstract: Groundwater refers to the subsurface water that occurs beneath the water table in geological formation that are fully saturated. 95% of the water used for human production and living comes from groundwater. But now, the pollution degree of groundwater resources is serious, which is a serious threat to human. In order to capture groundwater pollution's situation, groundwater pollution detection should be carried out. Because of the geophysical methods are of low cost, high speed and the characteristics of in-situ nondestructive, people often used geophysical methods for groundwater pollution detection. Geophysical prospecting contains a lot of methods, and the researchers often use resistivity sounding method, ground penetrating radar method, high density resistivity method and seismic reflection method to detect the pollution condition of groundwater.

Abstract: In the conditions of magnetic dipole model, this paper proposed forward a centroid localization algorithm on magnetic anomaly target based on wireless sensor network node which distribution are random and the improved the weighted centroid localization algorithm based on magnetic induction intensity. According to the fluctuation of magnetic field intensity which detected by magnetic sensors, that can detect the existence of magnetic anomaly target and its location. Established an experimental system of the wireless sensor network for magnetic anomaly detection whose core designs including the HMC1043 three-axis magnetic resistance sensor and the CC2530 Zigbee RF chip. The experimental results show that the algorithm can accurately positioning the magnetic anomaly target within the network.

Abstract: Fault signal contains a large number of non-fundamental frequency transient signals when distribution line fault occurs, fault detection for power distribution line could be carried out to extract non-fundamental transient characteristics of zero-sequence voltage by Hilbert-Huang transform. And as long as the fault has been detected by using the Hilbert-Huang transform, the selection of the fault line could be used to fault locating. The Hilbert-Huang transform has been used to fault detection of power distribution line, and the results were compared with wavelet analysis method, which indicates the effectiveness and sensitivity of the proposed method.

Abstract: Piezoelectric smart structure is chosen as the piezoelectric material sensing and driving elements, and control system combine to form a structure with identification, analysis, judgment, action, and other functions. The active vibration control for structures is an important research direction.

Abstract: Gray system theory is good at dealing with the uncertain problems with a little amount of data. Some equipment’s fault data is abundant, and fault phenomenon is not explicit, uncertain and qualitative. So, it is difficult to diagnosing this kind fault through the traditional methods in a short time. This paper analyzes the data’s feature and then makes quantitative processing. The result shows that by this model, fault diagnosis can be simplified and quickly. And it is proved that the new kind of fault-positioning method for quick diagnosis is effective and efficient.

Abstract: Aiming to the problem of air material with life consumption quota, the paper divides into two parts, repairable spares and unrepairable spares. The paper analyzes the effect of failure mode and determines different consumption quota models according to different failure mode. Analysis and examples prove that the model is scientific and practical.

Abstract: This template explains and demonstrates how to design a measurement system based on the size of the linear structured light vision, the system could works at realized the high precision and fast measurement of the size of mechanical parts, and accurate calibration of the system. First of all, this paper set up the experimental platform based on linear structured light vision measurement. Secondly, this paper established a system of measurement model, and puts forward a new method of calibration of structured light sensor and set up the mathematical model of sensor calibration. This calibration method only need to use some gage blocks of high precision as the target, the target position need not have a strict requirements, and the solving process will be more convenient, much easier to field use and maintenance. Finally, measuring accuracy on the system by gage blocks with high precision is verified, the experiment shows that measurement accuracy within 0.050 mmin the depth of 0-80 - mm range. This system can satisfy the demands of precision testing of most industrial parts .with its simple calibration process and high precision, it is suitable for the structured light vision calibration.

Abstract: We present a novel framework for multiple pedestrian tracking using overlapping cameras in which the problems of object detection and data association are solved alternately. In each round of our algorithm, the people are detected by inference on a factor graph model at each time slice. The outputs of the inference, namely the probabilistic occupancy maps, are used to define a cost network model. Data association is achieved by solving a min-cost flow problem on the resulting network model. The outputs of the data association, namely the ground occupancy maps, are used to control the size of factors in graph model in the next round. By alternating between object detection and data association, a desirable compromise between complexity and accuracy is obtained. Our experiments involve challenging, notably distinct datasets and demonstrate that our method is competitive compared with other state-of-art approaches.

Abstract: The software sharing is the development trend of tracking telemetry and command software. How to develop quickly the tracking and controlling tasks software to adapt to the current experimental situation, and to ensure software quality, is a challenging subject placed in the face of software personnel. Using software middleware and software component technology, we can solve the problems of Tracking and Controlling Network acrossing operating system, Tracking and Controlling Software acrossing program languages, software reuse and other issues.

Abstract: In order to achieve collection and monitoring environmental parameters of the plant factory , this paper designs an intelligent monitoring system based on embedded system. The system consists of a terminal controller and a centralized controller. STC90C51 microcontroller is used as the MCU of the terminal controller, It is responsible for detecting environmental parameters and the regulation of the red and blue LED lights. The MCU of the centralized controller is an ARM processor named s3c6410, and it implements the function of the image acquisition and Web server. In the LAN users can access the information collected through the browser. The result of the tests shows that the system is stable and have referential significance to the monitoring system in other areas.