Advanced Materials Research Vols. 791-793

Abstract: Faced with the demand for real-time "big data" processing, the existing financial risk early warning systems are generally difficult to identify hidden risks in massive data information quickly and accurately. This paper introduces a complex event processing technology (CEP), proposes a method of real-time monitoring for "big data", establishes a monitoring model of unusual transactions, designs and realizes a system based on this model. The model contains data acquisition and encapsulation module, custom rules modeling module and results display module. Using real data of a security company to test the system, the results show that, it can identify hidden risks in unusual transactions accurately, and the speed of processing is improved significantly comparing with the system which is based on traditional database analysis method.

Abstract: Obtaining the depth image is the foundation of the research on other direction of Kinect. When to obtain the depth image information in a Kinect, it can t obtain the depth image accurately if there is a shelter in front of the body, and then the recognition and the restoration of the skeleton will become very difficult. This paper uses the method of Harris corner detection to detect shelter corner which is used to detect the range of shelter and restore the depth image information. But different from the traditional way, this paper uses the depth data values in the corner detection instead of the gray date values. After detecting corner, a series of actions of depth value substitution and smoothing will be done to repair occluded depth image.

Abstract: According to the development status of large-scale PV power station, this paper expatiates the topology and functions of the monitoring and control system of large-scale PV power station, The system consists of monitoring center, fiber optic ring network and control subnet, and the main functions are SCADA (supervisory control and data acquisition), AGC (automatic generation control), AVC (automatic voltage control), system state assessment, equipment maintenance, and power generation benefit analysis. The system is flexible and reliable, and will promote the efficiency of operation and maintenance of large-scale PV power station.

Abstract: A micro inductance sensor model based on the software of Maxwell to detect the debris in oil is presented. The model is built to study the detecting performance of sensors with different turns and enwinding styles. It can be demonstrated that the planar coil with 15 turns has a better sensitivity to detecting metal debris with about 100 micro meters in size. The solenoid coil with 20 turns has a better performance to detect the micro metal debris. This simulation shows that the detecting performance of a sensor is related to its parameters such as the size, turns, style of enwinding.The optimization of coils for the detection of metal debris with 100 in size is presented at last.

Abstract: As a new technology, high-pressure water jet technology is widely used in various fields .However high-pressure water jet is used for the detection of the target material in China and abroad, is still in its infancy. So this article studies on high-pressure water jet target material detection technology .This paper aims to study the target object detection experimental device and the follow-up process of detect sound signal.

Abstract: In order to protect the components of monitoring, some measures should be taken when refuge chamber uses outside environmental monitoring system. This paper designs a kind of protective device for outside environmental monitoring system based on related theory analysis and coal mine environment. It can protect monitoring components from gas explosion shock wave. Meantime there is good contact between sensitive element and outside environment to guarantee the normal work of the monitoring system. Finally, this paper builds the model of protective device, and analyses its structural strength.

Abstract: In order to meet the trend for flight test technology, this paper presents a monitoring expert system of flight parameters based on embedded technology , which can achieve real-time interpretation of flight data air and provide the parameters for the AHRS, engines, flight controls for aircraft crew members as well as the disposal of the special circumstances operating. It can be used for real-time collection and record a variety of digital information, control information and video information transmitting by the missiles and fiber during the fly testing process.

Abstract: The system which could be described as "trinity, seven subsystems" has realized automatic remote control of the machine working process with orientation, localization and formalization. At local place, it realized automatic position and pose online detection, automatic orientation tunneling, automatic section cutting and forming and adaptive control of cutting arm swaying speed. It was the first time that realized absolute measuring of roadheader frame position and pose error under coal mine working condition in our country which could avoid error accumulation in relative measuring and guarantee the high precision of orientation tunneling. In underground remote, it realized remote monitoring, wireless remote control and video surveillance, thus realized remote control with multiple angles, visualization and one-button control under the condition of dustiness and vibration. At any network access point on ground using mining ring network, it realized real-time monitoring and displaying of roadheader running state parameters, and realized the functions of remote fault diagnosis and alarming. The whole system has been tested many times underground. The application results show that it is stable and reliable. With the development of automation, intellectualization, and informatization and other high technology, this system will be more and more suitable for fully mechanized excavation face.

Abstract: The object of the statistical analysis is the statistical information. To correctly identify the type of statistical information is the most important prerequisite for rational use of statistical analysis methods. In this paper, the common methods for normality test are introduced theoretically. And the figure test and partial kurtosis test of normal distribution are proposed with detailed testing steps, suitable situation and mathematical model. It is demonstrated by simulation that both have good test results and practical value.

Abstract: This paper investigates the adaptive observer-based robust fault estimation problem for linear uncertain systems with disturbances. Sufficient conditions for the existence of such a fault estimation observer are given in terms of matrix inequalities. The solution is obtained by the linear matrix inequality (LMI) technique. An example is given to demonstrate the effectiveness of the proposed approach.