Zhimin Zhao

The new technology of composite materials repairing by light wave

The repairing of damaged composite materials becomes a hot research subject in the late 1990s. In this paper a new technology of repairing composite materials is given on the basis of our previous research. The light wave of 675 nm transmitted by optical fiber is used as repairing light source, special repairable adhesive which can be stimulated by the light is adopted. By comparing the stiffness of the composite material before and after being damaged, it can be concluded that the mechanical property will not be changed with the feasible repairing technology.

A Novel Method of Measuring Fat Content in Soybean Milk Based on Y-Type Optical Fiber Sensor

A new method of measuring fat content in soybean milk at room temperature (25°C) based on the Y-type optical fiber sensor is presented. The measurement system consists of a light source, Y-type optical fiber sensor, detector, thermoelectric cooler (TEC), preamplifier, second-level amplifier, A/D converter, and microprocessor. Based on the Mie theory, the diffuse reflection light intensity is adopted as the optical parameter representing the fat content in soybean milk. In this way the standard model of the system was established based on the diffuse reflection light intensity (the output voltage) of 40 soybean milk samples with different fat content. A prediction was also made to verify the measurement accuracy of the system (the prediction errors are within ±3 % of results). Results of this study indicate the feasibility of using this technology for soybean milk fat analysis that is suitable for the milk laboratory or field analysis.

Determination of alcohol content in water alcohol hydrates using near-infrared spectroscopy and segmentation regression model

This paper puts forward a measurement method of alcohol content in the mixture of water and alcohol based on near-infrared spectroscopy and segmentation regression model. The wavelengths, which are 1580, 2081 and 2309 nm, are picked out as three characteristic absorption wavelengths of alcohol, whereas 1206, 1456 and 1936 nm are picked out as three characteristic absorption wavelengths of water. The characteristic absorbance has a linear relationship to the alcohol concentration in the sample according to the principle of Lambert. Multiple linear regression equations 1 and 2 are built respectively based on the characteristic absorbance of alcohol and water, and the alcohol concentration is calculated using these two equations. However, the representative characteristic of overtone and combination absorption will change as the concentration of composing component changes so that the measuring effects of different regression equations, which are built by characteristic absorption values of different component, are different in the measurement of different concentration samples. In order to improve the prediction accuracy, this paper adopts the segmentation regression model equation to calculate the alcohol concentration in the sample, ie, we use equation 2 to calculate the alcohol concentration for the low alcohol content samples and use equation 1 to calculate the alcohol concentration for the samples of alcohol concentration between 50% and 70%; on the other hand, we use the mean calculation of equations 1 and 2 as prediction for the high alcohol concentration samples. The adoption of the regression model equation can reduce the mean prediction error for the samples in different alcohol concentrations without increasing the complexity of the equation. Nevertheless, we need to obtain the approximate value of alcohol concentration first in order to determine the distribution range of alcohol concentration.

Dynamic Testing for RFID Based on Photoelectric Sensing in Internet of Vehicles

With the development of application scale of radio frequency identification (RFID) technology in Internet of vehicles (IOV), the scenarios of multi-reader and multi-tag have become increasingly common. Firstly, the relationship between IOV and RFID technology is presented in this paper. Moreover, key of electronic vehicle identification (EVI) is presented, which is the main application of RFID in IOV. Finally, the novel semi-physical verification system based on photoelectric sensing is introduced for dynamic testing of RFID in EVI. The experimental results show that the testing method as well as system is applicable not only for reading range test of single-tag scenario, but also for anti-collision test of multi-tag scenario. The proposed method has good characteristics in terms of speed and accuracy. Thus, the research of this paper is very useful for testing of EVI RFID system performance in a variety of harsh environments.

Optimal Analysis and Semi-physical Verification of Geometric Distribution of RFID Multi-tag Based on Fisher Matrix

Through the research in the former chapter, the dynamic performance of IOT system with RFID as the core sensor is affected by the multi-tag distribution. At present, software collision avoidance is mostly adopted in the domestic and international researches. The reading efficiency, reading distance and reading speed of multi-tag IOT system dynamic performance not only depends on the measurement accuracy and positioning algorithm, but also with the multi-tag relative positioning target to be closely related to the geometric distribution.

Multi-antenna Optimal Reception Theory and Semi-physical Verification for RFID-MIMO System

The basis of semi-physical simulation is mathematical model. As a typical IOT application system, the channel model of RFID multi-tag multi reader system is the basis of its semi-physical simulation.

Application of Semi-physical Verification Technology in Other Areas of IOT

The above chapters focus on the semi-physical verification technology in the field of RFID system. With the continuous development of technology, the semi-physical verification technology is not only widely used in the field of RFID system, but also promoted in other fields, such as internet of vehicles (IOV), navigation and structural health monitoring.

Research Progress of Semi-physical Verification Technology Based on Photoelectric Sensing

Simulation verification technology is a kind of professional technology which integrates information processing, similarity theory and system integration. It uses computers and all kinds of physical equipments as bridge, mathematical model and physical model as means to make modeling and simulation of the system.

Application and Semi-physical Verification of Artificial Neural Network in RFID Multi-tag Distribution Optimization

Physical anti-collision technology is proposed for the optimization of RFID multi-tag system, however, the learning and self-adaptation ability of the system are the key to the application of physical anti-collision Technology.

Optimal Distribution and Semi-physical Verification of RFID Multi-tag Performance Based on Image Processing

In the previous chapter, three kinds of neural networks were used to optimize the distribution of RFID tags, and semi-physical experiments were carried out. In this chapter, we use the method of image processing to collect the data of 2D and 3D tags respectively, and improve the overall dynamic recognition performance of RFID multi-tag system by arranging the position of tags. Firstly, an application system for RFID multi-tag distribution optimization and semi-physical verification including image acquisition system is designed. Then, the image feature extraction and localization algorithm is used to obtain the position of each tag node, and the three-dimensional topology of tags is made.