Advanced Materials Research Vols. 562-564

Abstract: For ensuring the safety of inland river shipping and avoiding super draft, it is of significance to propose a method to detect draft of inland departure ship. The real-time detection method on draft of inland departure ship is proposed, the measurement principle of ship draft is deeply analyzed, and the small scale experiment has been carried out. Experimental results show that as ship speed inicreases, the ship draft is of gradually declining tendency, and the measurement error is of gradually increasing tendency, the minium error is -4.2%, the maximum error is -11.4%. The results prove the possibility of this method , and also indicate that ship speed has large influence on measured ship draft.

Abstract: Realizing the decoupling control of them is one of the most important issues to achieve the flatness and edge drop high-precision control. In this paper, the flatness and edge drop control capabilities of all the control actuators are analyzed. The coupling relation of flatness and edge drop is analyzed. The neural network inverse decoupling control method is proposed to realize the decoupling control of flatness and edge drop. Simulation results represent that the flatness and edge drop control performance is improved effectively.

Abstract: The fast development of the Internet of Things (IoT) makes its security problems appear gradually. It is urgent to study the intrusion detection technology for IoT security threats. An intrusion detection method based on the clone selection principle is proposed in this paper. The key elements in the clone selection theory are simulated. The clone selection algorithm is realized to be applied in IoT. Detection elements for security threats evolve to adapt the real IoT environment. The proposed method is expected to improve the detection efficiency of IoT security threats.

Abstract: As an important road detection system performance parameter, road rigidity was the key link and the evaluation index of the road detection system. During the construction of road infrastructure, the implementation of road worked on the hardness testing was necessary. The American National Instruments (NI)’s virtual instrument software development platform Lab VIEW was used as the system’s development platform. Through the signal collected by the pressure sensor combined with signal conditioning circuits formed by the single chip, functions of various parts were designed to analyze the relevant parameters of the road rigidity. The test data was measured and collected according to national standard methods, at the same time, virtual instrument software and related algorithms were used to analysis of the statistics data and the state of the road hardness would be detected and researched. And thus it provided an important basis for the quality of road management and road maintenance.

Abstract: This paper reviews the distributed energy source in the smart grid and it’s advantage. The risk of distributed energy source is analyzed. The value of risk (VaR) is studied in this paper. It is important to improve the new energy and build the smart grid in the future.

Abstract: Energy saving is the best way to energy exploitation and environment protection, especially in the case of the low carbon economy. In this paper, a hybrid approach combining particle swarm optimization (PSO) and genetic algorithms (GA) is developed for optimization design of marine waste heat recovery system. Based on exergy analysis method, the waste heat utilization degree of the marine waste heat recovery system is discussed. Considering the superheated steam temperature, evaporation temperature, economizer inlet temperature, water supply temperature and condensation temperature, a mathematical model is constructed in which the exergy efficiency of marine waste heat recovery system is taken as the objective function for optimization design of marine waste heat recovery system. The mutation operator of GA is introduced to the PSO to solve the mathematical model of marine waste heat recovery system for the diversity of particles. The effectiveness of the approach is illustrated by an optimization example.

Abstract: To solve the problem of automated defect detection for textile fabrics, this paper proposed a method for fabric defect detection which is based on local entropy. The method can transform the original gray image space for the entropy space and enhance the different organization structure which is conducive to extract the damage texture region. In the experiment, divided the fabric image to the same size local window, and chosen the smallest value of local entropy window region to segment the defects. The experimental result shown that this method can avoid the whole image complex operations and possess high recognition accuracy.

Abstract: Because of the separation of modified truck’s cab and car tank, there must set long wires to transmit the signal. A liquid level measuring device for truck is designed and developed in this article. Using the ZigBee technology, a wireless data transmit mode, including the hardware and the software, is realized. A compensation and correction method is discussed on the basis of the ultrasonic transmission theory. This device has a simple structure, high precision, low cost, easy to install and so on.

Abstract: This thesis proposes a new inspection system for wheels of high speed trains, using Piezoelectric ultrasonic technology and parallel processing technology. This system allows all the wheelsets mounted in a train to be inspected within a few minutes. When a train passes through the testing line at low speed(3-5Km/h), wheel tread contact with the probe arrays in turn, which are installed inside of a special rails. Meanwhile, ultrasonic controllers stimulate the probes , collect inspection data and transfer the data to the host computer. Application results in field are presented to verify the effectiveness of the proposed structure.

Abstract: In order to solve the key problems of urban traffic in China, the intelligent means and approaches, combined with artificial intelligent with tradition control ones, are adopted in the paper. Some hypotheses are elicited on the basis of the characteristics of Chinese urban traffic control system structure and functional requirement, a frame structure of urban traffic intelligent control system is stated based on multi-agents cooperation. Some better design ways and means for urban traffic real-time, rational and reasonable control system is established according to the frame structure, the system design of urban cross control and area control based on multi-agents is implemented. Simulation results show that urban traffic integration control with multi-agent excels timing control in latency time. In this way, successful realization of goal for urban traffic intelligent control is insured so as to increase the capacity of urban road network and to improve our urban traffic control and management modes. Therefore quality of urban surroundings will be enhanced. And the comfortable and delightful traffic surroundings will be built.