Design and implementation of temperature, humidity and wind speed information acquisition system based on the internet of things

2016 ◽  
Vol 31 (10) ◽  
pp. 936-942
Author(s):  
徐白冰 XU Bai-bing ◽  
王建立 WANG Jian-li ◽  
曹景太 CAO Jing-tai
Keyword(s):  
Wind Speed ◽  
Internet Of Things ◽  
Information Acquisition ◽  
Acquisition System ◽  
The Internet ◽  
Design And Implementation ◽  
The Internet Of Things

scholarly journals Power Equipment Fault Information Acquisition System Based on Internet of Things

2020 ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Low Voltage ◽  
Collection Efficiency ◽  
Acquisition System ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Fault Information ◽  
The Internet Of Things

Abstract With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.

scholarly journals Power equipment fault information acquisition system based on Internet of things

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Acquisition System ◽  
Series Data ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Before And After ◽  
Fault Information ◽  
The Internet Of Things

AbstractWith the advent of the Internet of things era, power equipment is gradually connected to the network, and its intelligent fault detection function provides greater help for the power industry. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things. This research is based on the equipment fault information collection system of the Internet of things and mainly studies the fault information collection method based on the Internet of things technology. Equipment fault data are generally time series data. In the analysis of equipment failure, the data before and after fault and before and after fault are analyzed. The abnormal state of equipment is associated with the data before and after the fault. Therefore, by analyzing the characteristics of the fault data and the equipment before and after the fault, a bidirectional recurrent neural network model based on LSTM is constructed. The method designed in this paper can not only improve the efficiency and speed of collection, but also can compare and collect fault information. The overall operation state of the power unit is improved accurately. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized.

Design and Implementation of Automated Warehouse Monitoring System Based on the Internet of Things

2014 ◽  
Vol 543-547 ◽  
pp. 1099-1102 ◽  
Author(s):  
Zhi Qiang Yao ◽  
Heng Jun Zhu ◽  
Wen He Du
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Humidity Sensor ◽  
The Internet ◽  
Design And Implementation ◽  
Zigbee Technology ◽  
Temperature And Humidity ◽  
The Internet Of Things

Aiming at the lagging for the monitoring of warehouse and lacking the intelligence, an automated warehouse monitoring system is designed using the internet of things, which may be used to monitor the temperature, humidity, and case of fire in the warehouse simultaneously. The temperature and humidity sensor SHT10 is implemented as the detector of the temperature and humidity, the flame sensor R2868 and the ionic smoke transducer HIS-07 are implemented as the detector of smoke and flame to find the fire. These data are sent to the computer in the manager center through Zigbee technology and the computer will process and analyze them. When the fire occurs, this system can extinguish the fire and call the manager or 119 automatically. The experiments have been performed, and it is shown that the performance of system is reliable, which has the practical value.

Research of the Elevator Monitoring System Based on the Internet of Things

2013 ◽  
Vol 423-426 ◽  
pp. 2380-2385 ◽  
Author(s):  
Shui Lin Tu ◽  
Zheng Yang Wu ◽  
Bin Qian
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Monitoring System ◽  
Information Acquisition ◽  
Supply Voltage ◽  
The Internet ◽  
Power Supply Voltage ◽  
Control Center ◽  
The Internet Of Things ◽  
Master Control

This paper discusses an elevator monitoring system based on embedded system and the internet of things. Through multi-sensor information acquisition, much information can be accessed to such as vibration, acceleration, speed, running noise,direction,floor station,door switch of the elevator car and power supply voltage,current, temperature of the traction machine,at the same time the noise and the temperature of the computer room with the information if there is anyone in the elevator, etc.. WinCE operating system is ported to the master control chip S3C2410 of ARM9 architecture,and a WAN connection between the elevator parameter monitoring terminals and the remote control center is established to realize the centralized monitoring and automatic remote failure alarm for the elevator operation. This system provides technical support for elevator safety regulation and the practical running results is satisfactory.

scholarly journals Easy-Weigh-Out: Design and Implementation of Internet of Things-based Smart Luggage System

2021 ◽  
Vol 17 (03) ◽  
pp. 37
Author(s):  
Mohammad Haasin Farooq ◽  
Muhammad Zain ◽  
Muhammad Bilal Khalid ◽  
Saima Zafar
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Data Logging ◽  
Design And Implementation ◽  
Digital World ◽  
Cloud Server ◽  
Security Surveillance ◽  
The Internet Of Things ◽  
Term Data

The Internet of Things (IoT) has dominated the digital world by enabling thousands of physical devices to communicate with each other and share useful data over the Internet. With use cases spanning every sphere of modern life, the IoT is all set to revolutionize the traveling sector by extending services associated with safety, security, surveillance, tracking, comfort, and a lot more. This paper presents the design and implementation of a prototype Easy-Weigh-Out, based on the principles of the IoT which enables a user to run Android-based mobile application and view the weight of luggage and track its location without any contact with it. The hardware of the system is built around Arduino UNO microcontroller which interfaces with a load cell (20 kg) via A/D converter and a NEO-6M Global Positioning System (GPS) module for tracking of the bag. The system uploads data to a Cloud server using ESP8266 Wi-Fi module. Our results show the real-time weight and tracking of the bag at a click of a button as well as long-term data logging.

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