Applied Mechanics and Materials Vols. 602-605

Abstract: With the rapid development of the smart grid, IP protocol which supports end-to-end application becomes the core of network. Smart meters will become intelligent, miniaturization, multi-functional, precise measurement, interactive and high-speed communication development. Smart meters based on IP protocol must be the trend of the future.IPv6 gradually replacing IPv4 becomes the only choice of deploying IP network. In this paper, we implement AMI system which can achieve real-time management and control. acquire It needs unify deployment of smart meters in the whole building and concentrate them to the gateway by using end-to-end IPv6 wireless sensor network communication protocol.

Abstract: with the substation construction and retrofit, gradually achieve the unattended substation operation, long-term high temperature operation is the main cause of equipment wear and tear, fault, in view of the continuously monitor equipment operation temperature, helps to discover the hidden trouble of equipment operation, master the equipment running status, improve the operating life of equipment. Temperature measuring technology as the main technical means, through continuous improvement to upgrade, there are so many ways to achieve, but the lack of standards and specifications. Through the comparison and analysis of the principle of the existing equipment temperature monitoring technology, concludes the key points of equipment temperature measurement technology, discusses the development trend of substation equipment temperature measurement technology, formation of substation equipment should have the characteristics of temperature monitoring technology. In substation operations management and equipment maintenance as the goal, combined with the Internet of things, the sensing technology, the realization of intelligent substation temperature measuring technology application.

Abstract: The monitoring system of AMB (Active Magnetic Bearing) can display rotor displacement signals and real-time current signal of electromagnetic coils, monitoring the rotor running status of AMB. This article describes the monitoring system that is based on the AMB original hardware circuit and details of its hardware components and software modules function. Experiments show that: the function of each part of the electromagnetic bearing monitoring system uptime, and has good expansion; this system has been successfully applied in second flexible critical speed rotor magnetic bearing system.

Abstract: To ensure the staff’s security and supervise their work in order, an intelligent inspection monitoring and positioning system in substation was analyzed. Microwave sensor is used to monitor the high-risk work area in substation. When the microwave start work, the warning equipment will alarm anyone closed to the monitoring work area .The terminal will get the staff’s specific location according to regional positioning algorithm. The system can draw the inspection track and display it in real time. It improves the safety of substation.

Abstract: NIPGA technology is used in order to detect the total nitrogen content in sewage quickly. D-D neutron generator is used as the neutron source and BGO detector is used to detect gamma rays of nitrogen. The simulated result of MCNP shows the nitrogen’s limit of detection is 0.2 mg/L and the total nitrogen in V-type water can be detected. So this method can be used to detect the total nitrogen content in sewage quickly.

Abstract: With the national safety supervision departments and environmental protection departments having increasingly stringent safety monitoring requirements on large-scale flammable and explosive petroleum and chemical storage tanks, the security automatic monitoring and information management automation systems of the oil depot are increasingly being valued by the people, and it is more urgent to build the digital oil depot security monitoring management system. The new monitoring system can achieve the unified supervision of the oil depot digital business, and can also raise the comprehensive unified management level of fire protection, safety and oil plants, and can also provide remote monitoring services to the higher management level.

Abstract: The total phosphorus in water mainly exists in the forms of phosphate, condensed phosphate, and the compound of organophosphorus. Chemical sampling analysis method has low measuring accuracy and takes long time. NIPGA technology is used in order to detect the total phosphorus content in sewage quickly, and MCNP-4C is used to take simulating calculation. The calculating results show that the measuring accuracy is lower when the total phosphorus content is less than 0.10 mg/L. But this approach can meet the measurement requirements of total phosphorus content in II-type, III-type, IV-type and V-type water.

Abstract: According to the un-stationary feature of the acoustic emission signals of tool wear, a tool wear state identification method based on genetic algorithm and BP neural network was proposed. The method reconstructed the acoustic emission signals and calculated the singular spectrum. And the feature vectors were reconstructed based on the singular spectrum. BP neural network was optimized by genetic algorithm. The weights of BP neural network and the thresholds were optimized originally to get more optimal solutions in solution space. Then the more optimal solutions were put into BP neural network to identify the tool wear state by the optimized classification machine. The study indicated that this method can make an accurate identification of tool wear state and should be widely used.

Abstract: It was discussed of the selection method of characteristic spectral band and the establishing of inversion model to monitor winter wheat stripe rust using hyperspectral data in this study. The correlation coefficients between the DI (disease incidence) at different stages of infection and the initial canopy reflectance spectral and the derivative of the reflectance spectrum were compared, respectively. The results showed that the derivative of the reflectance spectra has reached higher significant level with the DI than the initial reflectance spectral data. The initial reflectance in the visible light 680nm wavelength and the near infrared 976nm, 1010nm wavelength were selected to do regression with the DI of winter wheat stripe rust. And some inversion models between the DI and the hyperspectral data or its conversion patterns like NDVI (Normalized difference vegetation index), RVI (Ratio vegetation index), TVI (Transformed vegetation index) and its differential values of the canopy spectral reflectance data to monitor winter wheat stripe rust were established. Meanwhile, those correlation coefficients were compared respectively, of which we found the pattern of vegetation index has more efficient commonly than initial canopy spectral reflectance data by aggression analysis with the DI. The paper also suggested that the possibility of developing a special visible/near-infrared sensor for the detection of the DI of winter wheat stripe rust theoretically. Else, the SRSI (stripe rust stress index) mechanism model was presented for the first time in this paper.

Abstract: The supervision monitoring program for radioactive effluent of nuclear power plants is an important basis of the radioactive effluent monitoring work. The general review principle of the supervision monitoring program is discussed in this article, and review suggestions of monitoring, evaluating and quality assurance are also given by focusing on requirements of technical details about key elements such as monitoring projects, sampling and monitoring points, frequencies and low limits of detection. For the supervision monitoring work of radioactive effluent of nuclear power plants, it can provide some guidance about the review of the supervision monitoring program for nuclear safety regulators, and provide some reference about the design and revision of the supervision monitoring program for nuclear safety monitoring departments.