scholarly journals Environment Factors Monitoring System Based on CAN bus

2016 ◽  
Vol 12 (05) ◽  
pp. 9 ◽  
Author(s):  
Li Shi Hong ◽  
Zhu Sa Sa ◽  
Jin Yan
Keyword(s):  
Environmental Factors ◽  
Real Time ◽  
Monitoring System ◽  
Can Bus ◽  
Environmental Parameters ◽  
Stable Operation ◽  
Remote Monitoring System ◽  
Management Personnel ◽  
Graphic Language ◽  
Intuitive Interface

In order to solve the greenhouse environmental factors monitoring system wiring is difficult, high cost, single parameter monitoring, lack of flexibility and scalability, which can’t meet the requirements of the modern intelligent greenhouse. In this study, a new remote monitoring system was established. In terms of the hardware, the SCM C8051F040 was adopted to collect the environmental parameters such as temperature, humidity, light intensity, CO<sup>2</sup> concentration and so on. All data were uploaded via CAN bus and GPRS to the remote host computer .The collected data would be sent to the relevant agricultural management personnel in real time through the GPRS network so that the management could be carried out. Based on Kingview software platform, which was developed to use graphic language and command language system of the PC. Preliminary experimental results show that the system has the correct data transmission, stable operation, good real-time performance and accurately monitor the environmental factors in the greenhouse. The system has the advantages of flexible networking and strong expansibility and intuitive interface, which can well meet the needs of environmental factors monitoring in greenhouse.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

FPGA-based real-time remote monitoring system

2005 ◽  
Vol 49 (2) ◽  
pp. 272-285 ◽  
Author(s):  
Joshua Mendoza-Jasso ◽  
Gerardo Ornelas-Vargas ◽  
Rodrigo Castañeda-Miranda ◽  
Eusebio Ventura-Ramos ◽  
Alfredo Zepeda-Garrido ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Remote Monitoring System

A Study of IoT based Real-Time Solar Power Remote Monitoring System

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Power Plant ◽  
Real Time ◽  
Monitoring System ◽  
Power Output ◽  
Solar Power ◽  
Solar Power Plant ◽  
Solar Pv ◽  
Time Data ◽  
Power Monitoring ◽  
Remote Monitoring System

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.

A Remote Monitoring System Based on Measuring Instrument Cloud

2014 ◽  
Vol 1014 ◽  
pp. 525-529 ◽  
Author(s):  
Jun Zhang ◽  
Yuan Sheng Liu ◽  
Lin Xue
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Environmental Parameters ◽  
Mobile Terminal ◽  
Measuring Instrument ◽  
Remote Monitoring System ◽  
Front End ◽  
Remote Lab ◽  
Computing Center ◽  
Network Equipment

A remote lab room monitoring system based on measuring instrument cloud is presented in this paper. The system consists of cloud computing center, embedded front-end acquisition hardware, mobile terminal device, and network equipment. Measuring service software system located in cloud computing center sends control commands to front-end acquisition hardware and collects acquisition data. Then processing, analysis and integration of signals are completed in the cloud computing framework. Finally, all the information can be interacted with mobile terminals by Web service. The system can monitor environmental parameters of lab rooms located in different campuses, such as temperature, humidity, light, smoke, and flooding. When environmental parameters exceed the preset thresholds, light and audio alarms will be immediately switched on and the administrator will be noticed on Web management page.

Intelligent Environmental Monitoring System Based on Multi-Sensor Data Technology

2020 ◽  
Vol 11 (4) ◽  
pp. 57-71
Author(s):  
Qiuxia Liu
Keyword(s):  
Data Fusion ◽  
Environmental Monitoring ◽  
Real Time ◽  
Monitoring System ◽  
Intelligent System ◽  
Evidence Synthesis ◽  
Environmental Parameters ◽  
Monitoring Data ◽  
Sensor Data ◽  
Environmental Monitoring System

Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.

The Remote Monitoring System of Highway Slope Safety

2014 ◽  
Vol 687-691 ◽  
pp. 747-750
Author(s):  
Cheng Hao Han ◽  
Jun Ping Zhu ◽  
Hao Li ◽  
Xing Tong Wang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
High Reliability ◽  
Field Work ◽  
High Accuracy ◽  
Real Time Monitoring ◽  
Remote Monitoring System ◽  
Anchor System ◽  
Slope Condition

As it is impossible to conduct real-time monitoring on slope condition of highways, a remote monitoring system has been specially designed. Making use of GPRS technology, Labview and solar power, the system has realized nobody monitor on slope anchor system, automatic collection of slope pressure and displacement data. It enjoys advantages such as high-accuracy, real-time monitoring and high-reliability. Among existing effective monitoring ways, massive man-power is needed for on-field work, but real-time monitoring is still left to be achieved.

Sign in / Sign up

Export Citation Format

Share Document