A Network Illegal Access Detection Method Based on PSO-SVM Algorithm in Power Monitoring System

Author(s):  
Yang Su ◽  
Wenzhe Zhang ◽  
Wenwen Tao ◽  
Zhizhong Qiao
2021 ◽  
Author(s):  
Peng Gao ◽  
Haiqing Wang ◽  
Qianqian Jin ◽  
Xingshen Wei ◽  
Shishun Zhu ◽  
...  

2019 ◽  
Author(s):  
Jinxiong Zhao ◽  
Bo Zhao ◽  
Yanbin Zhang ◽  
Zhiru Li ◽  
Hui Yuan ◽  
...  

Author(s):  
Maisagalla Gopal ◽  
T Chandra Prakash ◽  
N Venkata Ramakrishna ◽  
Bonthala Prabhanjan Yadav

Author(s):  
Seaseung Oh ◽  
Gilsung Byeon ◽  
Sang-Hee Kang ◽  
Gilsoo Jang

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.


2013 ◽  
Vol 779-780 ◽  
pp. 1526-1531
Author(s):  
Kang Lin Wei ◽  
Ming Chen ◽  
Fei Wang ◽  
Qiong Fang

Total phosphorus is an much important key water quality parameter . In view of the technical defects of existing detection methods and instruments for in situ monitoring total phosphorus, a new detection method based on ultrasonic assisted sample digestion and spectrum analysis was put forward in this paper, and the automatic monitoring system prototype based on such detection method had been developed. Aiming at wastewater treatment, the spot experiment had been carried out to contrast prototype with Chinas national standard analysis method for on line measuring total phosphorus in the water, and the results of the comparative experiment showed that the automatic monitoring instrument prototypes had good repeatability (10%) and high accuracy (±10%), which met the technical qualifications of Chinas environmental protection industry standards.


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