Applied Mechanics and Materials Vols. 556-562

Abstract: As a result of the trend towards lightweight construction in manufacturing, there has been a significant increase in the use of clinched joints in engineering structures and components. Mechanical structures assembled by clinching are expected to possess a high damping capacity. The aim of this paper is to provide an experimental measurement technique for the investigation of the forced vibration behavior of clinched joints. The dynamic test software and the data acquisition hardware were used in the experimental measurement of the dynamic response of the clinched joints. The frequency response functions of the clinched joints of different clinching point number were measured and compared.

Abstract: In order to reduce costs and improve crop yields effectively, a greenhouse environment monitoring system based on ZigBee and GPRS technology is designed. In the system, ZigBee wireless sensor module is used for data acquisition of soil moisture, precipitation, nitrogen concentration, temperature and barometric pressure data etc. The information is sent to a remote monitoring center through GPRS, Instructions is regulated and take corresponding measures according to the received information. The system can collect and monitor the parameters of the greenhouse environment at a real time. This has important implications for the development of agriculture automation and agricultural production levels.

Abstract: Wind power becomes one of the most important cleaner energy in the world. The maintenance problem becomes the main factor preventing the appropriate power price which can be accepted by people. So, many researches contribute to improve the availability of wind farms. Traditionally, most researchers paid attention to the fault diagnosis, prognosis and maintenance strategies optimization to short the down time and the maintenance cost. But they all neglect the condition monitoring work of repaired gearbox of wind turbine before it is delivered to the customer from maintenance center to the wind farm. The life of repaired gearbox is also a very critical factor which influences the availability of wind farm. Good checking methods and good standard can provide a good support of good performance after the gearbox installed on the up tower. So, this paper proposed how to address these issues.

Abstract: SoC is the ASICS (ApplieationSpeenIetgratdeCierulst) design methodology of the new technology, refers to the embedded system as the core technology used in PI-based, set of software and hardware in one, and the pursuit of products inclusive of the largest integrated system chip. The article in-depth exploration into the complexity of using VHDL language and system programmable logic device (CPLD) to develop "system-on-chip (SoC)" - such as adaptive frequency measurement accuracy of the basic methods to overcome the system of the previous frequency measurement accuracy is not high , measuring the accuracy of the process of change, approaching the speed of slow-type shift shortcomings.

Abstract: Tire puncture is the main factor for traffic accidents, especially for the expressway traffic accidents. In this paper, the voice signal is used to distinguish the abnormal conditions of the car tires. which can identify the tire fault signal, timely find tire abnormal condition and send out warning information. It can ensure the safe driving. Experiments show that the system can monitor the tire effective working state.

Abstract: with the rapid development of intelligent mathematics and artificial intelligence, intelligent target recognition technology has become the new direction of the target recognition research and development. The Traffic Target Recognition is one of the intelligent target recognition technology applications in the transport field. It is one of the key issues of intelligent traffic analysis and a powerful guarantee of traffic system security. It has far-reaching theoretical and practical application value. According to some research, the support vector machine method shows better ability to adapt and promote than traditional classification methods and obtains better result in image recognition. This paper presents an intelligent transportation target recognition method based on support vector machine (SVM). Experimental results show that the target recognition method has strong classification and identification capability.

Abstract: The internal humidity of vehicular proton exchange membrane strongly influences the performance of PEMFC, but it cannot be measured directly because of the special closed structure. Generally, the internal humidity is equivalent as the water content of the membrane. This paper studies the problem in humidity measurement. In the base of analysis about PEMFC water content mechanism, and by taking Fuzzy Sets as method, this paper builds a PEMFC humidity status monitor system model, which can monitor the humidity value and evaluate the FC system humidity status. The simulation results show that the model is working properly.

Abstract: For video real-time monitoring system in different wireless channels, a reliability guarantee technology whose parameters are variable is designed. And this technology improves the video quality of wireless real-time monitoring system greatly. After a detailed introduction of the overall scheme and theory, the design of the reliability guarantee technology is focused on. The size setting of image buffer, the parameters setting of H.264 encode, the frame processing mechanism and the transfer protocol of RTP/RTCP are contained in this design, which guarantee the high reliability of wireless real-time monitoring system. Finally by using the tests in WiFi/WCDMA/TD-LTE channels, the performance indicators are analyzed, and the validity of the design scheme is verified.

Abstract: Considering the limitations of current approaches of traffic detection after the new traffic laws are introduced, an intelligent detection system of driver’s seat belts is proposed based on OpenCV in this paper. It is combined with the appliance of linear fitting method, straight line detection method and gray integral projection method. Thus, whether the drivers wear their seat belts or not can be analyzed and judged by the system from acquired images, which can ensure the road traffic security and the safety of drivers and help to increase the efficiency of the police. We can accurately distinguish the drivers’ violation and realize the intelligent transportation.

Abstract: As one of the most significant indices to estimate dam behavior, the study of deformation monitoring indices has become a hot spot recently. In this paper, a method based on lifting wavelet and multi-component cloud model is proposed. For this method, the time dependent component which can evaluate the dam behavior is decomposed and reconstructed by lifting wavelet firstly. According to the time dependent component, those monitoring data which can reflect the present situation of dam could be chosen. After that, compute the deformation monitoring indices of each component based on the valid data through the multi-component cloud model. And then the deformation monitoring indices of dam as well as the certainty degrees could be acquired finally. The proposed approach is tested with cloud model based on the whole monitoring data and typical small probability method relies on 1% and 5% significance level respectively. Experimental results show that this proposed method yields an excellent performance in calculating the dam safety deformation monitoring indices, which could be utilized in actual projects.