The detection of high frequency overvoltage and partial discharge is of great significance in evaluating the insulation condition of high-voltage power equipment. A wideband GHz electric field (E-field) sensor for electromagnetic pulse (EMP) signal measurement was proposed in this paper. An optical fiber transmission link was adopted in the design in order to implement high-voltage isolation and reduce electromagnetic interference during transmission. The designed sensor was mainly made up of a differential electric field (D-dot) antenna, transmitter, and receiver. The D-dot antenna was designed to detect high frequency E-field strength and generate a corresponding voltage signal, which was converted into an optical signal by the transmitter. The optical signal could be transmitted a large distance through an optical fiber without electromagnetic interference and changed back to a voltage signal again by a receiver. The design process of the sensor was introduced in detail, and experiments were performed using a gigahertz transverse electromagnetic (GTEM) cell and an EMP simulator to verify it. The results indicated that the designed sensor had a good performance besides an expectable delay due to the optional amplifier.
A new detection method of weak signal mixed in strong noise is proposed. The method includes theory scheme, hardware and software. It detects and processes signal by using the instrument magnifying technology and single-chip microcomputer control. By means of virtual instrumentation simulation and display, this design provides effective methods to detect µA-level weak signal in piezoelectric infrared detector. Through the experiment of simulate low frequency weak signal detection, the system fully reveals its practicality and superiority in the field of lower S/N signal detection.
At present, there are some problems in teaching building monitoring, such as the hidden danger and waste of electricity. In view of these problems, I design an intelligent lighting and monitoring system based on virtual instrument technology. This system consists of light intensity, human body, infrared and mobile sensors. They compose the the Internet of things in this system. By using these sensors and the fuzzy intelligent dimming, the system has a very intelligent and clever lighting. Human body sensors and infrared sensors can help the system monitor the important classrooms and computer rooms. Based on LabVIEW, the system has a excellent interactive operation interface and powerful data acquisition and network functions. With the functions and communication medium such as the Internet and ZigBee, the system can achieve monitoring the real-time illumination and the number of people in monitoring area. This system can also be operated by the remote client computers which equip LabVIEW. It is convenient to extend this system to the remote monitoring system.
The heat treatment technology is a weak link in engineering technology in china. For the traditional microwave heat treatment system, the microwave electric field inside the oven can not be well-distributed. In case of the traditional oven heat treatment system, however, the materials dried process is very long. In this paper, we introduce a microwave-oven hybrid heat treatment system related to industrial production line, the proposed with both advantages of high efficiency of microwave and good thermal distribution of the oven, which can be applied for the determination of degree in heat treatment process according to the concentration of the produced gases. Based on the computer and LabVIEW, the control system can control the whole process of heat treatment directly and accurately in real-time.
In order to reduce the power consumption of traditional tracking control, this article according to the tracking theory of spin new angle of elevation design of high precision two-axis solar tracking controller based on LabVIEW programming. The main method of control mode to calculate the position of the sun, using the S1337-1010BQ sensor to track the sun angle deviation automatic proofreading. According to the light intensity automatically adjust the reset program, can maximize the more light. After the test, a new tracking method tracking error is reduced, the photovoltaic efficiency is further improved.
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