Papers by Keyword: Power Monitoring

Abstract: Gate control TWT damaged easily in high voltage and high frequency work environment of radar transmitter. The development stages of the monitoring system core technology for radar transmitter experienced relay, single-chip computer, embedded industrial computer and programmable logic controller (PLC). Embedded industrial computer and PLC monitoring system is commonly used now, and this paper gives a relatively complete system of the above. Using the power monitoring method for key parameters of gate control TWT for indirect acquisition and monitoring is proposed in this paper. Provide reference for designing a reliable, stable and efficient monitoring system of radar transmitter.

Abstract: To the inconvenience problem of laying the cable, a new remote monitoring system for power based on wireless communication is designed. The overall structure of system is put forward to bring the design method of the remote terminal unit which is the key of monitoring system. Adopting the commercial wireless serial data transfer radio to realize the wireless communication between center RTU or computer and remote field RTU. According to design the multiple control modes (including: remote manual control, remote automatic control, and local control) to introduce the application of system and indicate that it is satisfied to monitor remote field power in the aerospace experiment tasks.

Abstract: In the intelligent building, the existing power supply and distribution monitoring system is mainly monitoring the voltage, current, power factor and other parameters of power supply equipments, lack of power quality monitoring, analysis and graphical display. In order to improve the power supply and distribution monitoring system in the intelligent building, this article designs a power monitoring system based on LabView, to monitor and analyze the basic parameters, harmonic, three-phase imbalance degree of power supply and distribution.

Abstract: The rapidly increasing usage of high-powered devices and the high specification in personal and industrial/medical devices has led to a greater demand for a SMPS for high-powered devices. A stable and reliable power source for such devices and research on power quality monitoring systems are needed. To these ends, this paper introduces a SMPS monitoring system based on ZigBee communication. The SMPS monitoring system uses ZigBee to collect the voltage, current, and temperature data from SPMS in real time. The collected data are visually synchronized and the current power supply status is displayed to the operator. In addition, to prevent any decline in the quality of the power, the system gives feedback via smartphone to the operator if errors are detected.

Abstract: In recent years, cloud computing has become a new trend of Internet applications and can potentially bring benefits and new business models for various industries and applications. In this paper, we first review two traditional Internet-based remote monitoring and control (RMC) architectures, i.e. AVMS (Automatic Virtual Metrology System) for equipment monitoring and ZDPMCS (ZigBee-based Distributed Power Monitoring and Control System) for power monitoring. Then, their corresponding new architectures based on cloud computing are developed. Specifically, a cloud-computing-based intelligent equipment monitoring architecture (CCIEMA) is proposed. The CCIEMA mainly consists of three parts: cloud side-providing various equipment monitoring related cloud services, equipment side-containing several equipment managers for monitoring and controlling equipment, and client side-including various Web-based GUIs for users to interact with the system. Based on the proposed CCIEMA, various prediction models can be created on the cloud and then downloaded to the equipment manager for performing yield rate prediction, machining precision conjecture, and remaining useful life prediction. By the same approach, we also propose a new power monitoring and control architecture based on cloud computing and ZigBee, called CZPMCA, and show its major operational scenarios. The potential benifits of the proposed CCIEMA and CZPMCA are described as well, compared to the tradiotional RMC architectures. The research results can be useful references for constructing various RMC systems using cloud computing.

Abstract: We propose a new control scheme based on analyzing the problems existed in the original machine tool. We use single chip Microcomputer as controller, stepper motor to drive machine table, and power monitor for grinding contact detecting. The principle of grinding contact detection was elaborated, the structure of computer hardware and software are presented. The developed control system has been used for machine. The results show that the control system runs properly and achieves the desired effect.

Abstract: With the fast development of modern technology, the scale and the specification have been improved. The traditional instrument cannot meet the increasing demand of application. Therefore, the virtual instrumentation has become the trend of the future instrument. The paper has pointed out the advantages of virtual instrumentation of high performance, high expansibility, less exploring time and excellent integration. The design takes the modbus as the communication method to acquire the parameters of power instrument on the basis of PM500, Sepam20, Sepam40 and MOXA PCI RS-485 data acquisition card. It can also realize the storage and query function of data, as well as the steps of human-machine interface full of humanness, which has construct a high efficiency, precise Power Monitoring&Controlling System. It has passed testing, which can meet the needs of customers with high practical value.

Abstract: Monitoring of tool condition is one of the most important techniques to be developed in the automatic cutting processes as it can help to prevent damages of machine tools and work pieces. Power monitoring technique is an effective method for identifying tool states. However, it is difficult to distinguish sources which led to the power signal drop. In order to solve the problem, wavelet transform algorithm was adopted to define inflexion of power signal, and wavelet threshold denoise technique was used to separate the characteristic inflexion of power signal. The simulation results show that the method is capable of detecting the cutting condition effectively.