Applied Mechanics and Materials Vols. 347-350

Abstract: There are some disadvantages like that single-function and lower extent of automation in the electrical parameter detecting system of Jordan refiner, so its hard to adapt the system to the demand of the large-scale automatic detecting industry. Depending on the jordan refiner used in paper making, basing on the Labwindows/CVI software to be the host computer and the idea of virtual instrumentation, this devise constructed three-phase detecting system of the electrical parameter which using CS5460A power/energy computation chip for AD converter produced by Cirrus Logic company. The hardware construction and the software designing method are introduced; the concrete plan of enhancing the electrical parameter detecting precision is analyzed. The actual test suggests that the whole system is advantaged in high precision, fast speed, shot exploiting period and deeper extent of automation.

Abstract: In this paper, based on Kalman filtering algorithm, a method of target vehicle motion state radar estimation with radar (or lidar) is presented. The state equations is established based on rigid plane dynamics theory, and then with a Kalman filter to do radar data processing, the position, velocity and acceleration of the target vehicle can be estimated at the same time, so that to cover the shortage that acceleration information can not be gained with radar system. Through simulation and field tests it is verified that the detection accuracy of position and velocity of target vehicle is increasing, and the acceleration of target vehicle can be estimated effectively and accurately.

Abstract: The Key Problem of Command&Control Simulation is to solve how to communicate between Command&Control information and operation models of simulation system. Aiming at such problem, the BML and BOM technical are used together. Meanwhile, both models are presented in XML. Thus the Command&Control Simulation System Framework is built. At the same time , the basic solution thought for the key problems during the building of the simulation system has been put forward .

Abstract: Marine magnetic field detection is influenced by the environment of marine and the platform,The influence of the platform is mainly caused by platform migration.The variation of the geomagnetic field caused by different directions of the platform migration are compared by using the World Magnetic Model WMM2010.We come to the conclusion that the geomagnetic field variation is the biggest in the direction of depth.The conclusion can be used for automatic correction of the marine magnetic field observation platform .

Abstract: Accurate detection of the direction of hydraulic fracturing cracks in the oil field is one of the crucial factors in rational exploitation of the remaining oil and enhanced oil recovery. In this paper, using the potential and the potential gradient test methods and virtual instrument technology, we design and develop an intelligent borehole-surface electrical method multi-parameters detection system (BEMDS), which can achieve multi-channel, multi-parameter and high-precision borehole-surface electrical method data acquisition. Joint programming technology of Labview and Matlab gains the simultaneously measurement of the parameters of resistivity and induced polarization. As a result, the drawbacks of the original instrument that measuring single parameters and cannot mutually authenticate has been overcome.

Abstract: The monitoring and stable operation of high-voltage tower is an important direction of strong grid research. Transmission monitoring includes the forecast of early faults and real-time state estimation. There is no domestic report on related research. Some simulation in laboratory had been done and little been reported. The research review was carried out in accordance with existing knowledge and research progress summary, using wireless transmission and self-generating as example, to build high-voltage tower monitoring system including power management systems, sensor systems, data processing systems, signal transmission system and remote monitoring system.

Abstract: Multiple Degrees of Freedom (DOF) parallel robots possess the advantages of being compact structure, great stiffness, stability and high accuracy, so such platforms have been widely used in application areas as diverse as the spacecraft motion simulators, radio telescopes, and medical rehabilitation devices. In this paper, after giving a brief review on the control strategies for parallel robot, a 6-DOF robot system for medical purposes based on simulation as well as real environment is established. In order to improve the position tracking accuracy for such objects with time-varying and nonlinear parameters, a practical fuzzy adaptive controller is designed based on the kinematics of parallel platform, where fuzzy inference units are utilized to modify the PID parameters in real-time by using the position feedback from the robot actuators. Finally, both virtual and actual experiment results demonstrate that the proposed algorithm is able to effectively reduce the position tracking errors compared with the traditional PID controller, and the reliability and feasibility of such parallel robotic system can also be guaranteed.

Abstract: In this paper we propose a intelligent vehicle system design with MK60N512VMD100 as the micro-controller unit and CMOS image sensor to obtain image information of the track. Our proposed comparator circuit instead of an A/D conversion to obtain the binary image enables us to achieve a bigger field of view and a higher processing speed. A unique algorithm to extract track information and to successfully extract the black guide line is devised. We also design a PID closed-loop control to adjust the rotate speed of driving electromotor and direction of steering electromotor. The results indicate that our design proposal is feasible. The intelligent vehicle could successfully achieve a high speed, while maintaining an excellent stability.

Abstract: Train wheel hot bearing is the primary cause of cutting-axle fracture and severe hotbox accidents, which poses a great threat to the safety of railway transmission. It is necessary and vital to research and develop the technique of hot bearing detector and corresponding system for maintaining the reliable operation of railway system and meeting the requirement of high speed train. In this paper, based on advanced infrared array sensor, a train hot bearing detection system which adopts master-slaver mode, collects bearing temperature array data and uses Bayesian classifier for hotbox discrimination is established to monitor train wheel hot bearing and the detector itself. It provides possibility to improve the accuracy of hotbox alarm, display the waveform of bearing temperature on 3D and manage the bearing information on whole line.

Abstract: We present PLTC,a distributed topology control algorithm that based on pass-loss for wireless sensor network .In contrast to the algorithm based on RSSI,it can be applied on a heterogeneous network and nodes with different transmitting power.In this paper,we discuss the shortcomings of other parameters used to determine the link quality and present PLTC.We evaluate PLTC by analytic proofs and simulation results.The result shows it has good performance on bounded degree,connectivity and planarity.