- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2018 Asia Communications and Photonics Conference (ACP) - Hangzhou (2018.10.26-2018.10.29)] 2018 Asia Communications and Photonics Conference (ACP) - Non-invasive smart monitoring system based on multi-core fiber optic interferometers
摘要： A smart monitoring system based on fiber-optic interferometers using multi-core fiber (MCF) is presented in this paper. Interference among cores in the seven-core fiber (SCF) was introduced by using multi-mode fiber (MMF) coupling and experimental setup was designed to collect the data of user on bed for processing. With optimized algorithm, three body activities, including on the bed, off the bed and body movement, can be identified successfully. For further processing on collected data, respiration of the user can also be obtained. The smart monitor is contactless and non-invasive which is user-friendly and secure.
关键词： Smart monitoring system,Multi-core fiber,fiber sensor
更新于2025-11-28 14:23:57
-
[IEEE 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) - Vancouver, BC, Canada (2018.11.1-2018.11.3)] 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) - Solar-Powered Smart Agricultural Monitoring System Using Internet of Things Devices
摘要： Advances in wireless communication technologies for monitoring and control systems have paved the way for a new method of farming known as smart farming. Smart farming can be achieved through the use of Precision Agriculture (PA) which involves using novel technology along with inch-scale devices to monitor crops and provide precise treatments when required. Smart PA is able to take traditional farming practices and apply technological advances from areas such as Wireless Sensor Networks (WSN) and the Internet of Things (IoT) to assist in increasing the output yield of a crop while improving efficiency and reducing the amount of stress placed on a farmer. In this paper, a solar-powered smart agricultural monitoring system with IoT devices is presented. Solar-powered prototype nodes were designed to measure environmental conditions in a field and report to a base station for data storage and further processing. Two prototypes were compared in identifying the advantages gained when using energy harvesting in a device. Using an experimental testbed, a proof of concept of how the system would function is presented. According to experimental results, using an energy harvesting device can provide an increased lifetime for a device by supplying power and recharging its battery.
关键词： Internet of Things,Precision Agriculture,Smart Monitoring,Wireless Sensor Network
更新于2025-09-19 17:15:36
-
Design and Implementation Low Cost of Photovoltaic Monitoring System Network Based on LoRaWAN
摘要： The photovoltaic systems sector is in full renovation continually demanding a new system that allows the user to monitor his project from long distance. One of the systems that is currently being implemented in photovoltaic farms is known as the Internet of Things. Through this system, it is intended that the user can know in the real time the status of his photovoltaic systems panels. This paper presents a new solution based on LoRaWAN technology that allows the user to have the necessary information to achieve high efficient of the photovoltaic systems panels. This system is to design and implement a new measuring circuit for measuring the output voltage and current of the PV panels from long distance by using LoRa Technology. To test the correct functioning of the device, two tests have been carried out. The first one corresponds to an essay in which the maximum distance at which a node can communicate with the gateway is measured. While the second test means measuring the voltage and current output of the photovoltaic panel of the full system. The main advantages of the final circuit can be used to monitor PV panels with low-cost, and to have high-efficiency performance from long distance.
关键词： photovoltaic system,IOT,LoRaWAN,LoRa,current sensor,smart monitoring,voltage sensor
更新于2025-09-19 17:13:59
-
Design and Implementation A Smart Monitoring and Controlling System of Three-Phase Photovoltaic Inverter Based on LoRa
摘要： In this paper, a new smart monitor and control system has been designed for injected power application to grid from a three-phase photovoltaic inverter (a smart monitor and control system (SMCS)). The system consists two main units. Firstly, the control system unit: this unit connects directly to the inverter to measure the output voltage of three-phase photovoltaic inverter and the control circuit, It can turn the inverter ‘on’ or ‘off’ from a long distance. Secondly, the monitoring unit: this unit is designed to monitor the states of the photovoltaic inverter system from long distances. It has two monitoring options OLED and a smartphone monitoring application. LoRa technique (long range) used to send and receive data between controllers system and monitoring system. LoRa is a new type of wireless communication technology within the Internet of Things (IoT). The SMCS application has been designed by using open source software “MIT App Inventor 2”; this application is used to sends and receives the data from a control unit by using Bluetooth as a wireless communication in order to monitor and control the whole system. The main advantage of the SMCS that it can monitor and control three-phase photovoltaic inverters that have been installed in remote and rural areas.
关键词： control system,IoT,smart monitoring,LoRa,photovoltaic inverter
更新于2025-09-12 10:27:22
-
Deep Learning For Pyrolysis Reactor Monitoring: From Thermal Imaging Towards Smart Monitoring System
摘要： Monitoring the operation of a pyrolysis reactor is always challenging due to the extremely high operating temperature (over 800?C) in the ?red furnace. To improve current monitoring capability, a monitoring framework is proposed that builds upon thermal photography to provide a detailed view inside the ?red furnace. Based on the infrared images generated from the temperature data provided by cameras, a deep learning approach is introduced to automatically identify tube regions from the raw images. The pixel-wise tube segmentation network is named Res50-UNet, which combines the popular ResNet-50 and U-Net architectures. By this approach, the precise temperature and shape on pyrolysis tubes are monitored. The control limits are eventually drawn by the adaptive k-nearest neighbor (AkNN) method to raise alarms for faults. Through testing over real plant data, the framework assists process operators by providing in-depth operating information of the reactor and fault diagnosis.
关键词： pyrolysis reactor,thermal imaging,deep learning,smart monitoring system
更新于2025-09-10 09:29:36