A Study on Application of Real-Time Online Analysis of Ventilation Safety Data Based on Coalmine Monitoring System

2014 ◽  
Vol 707 ◽  
pp. 276-282
Author(s):  
Zhen Guo Yan ◽  
Yan Ping Wang ◽  
Xin Tan Chang

Due to poor coalmine monitoring system data utilization and relatively high threshold for application of most application software in ventilation safety field, a multi-perspective coalmine ventilation management technology, with the goal of daily ventilation safety management, is introduced based on the real-time data from the coalmine monitoring system. Specifically, data acquisition unit is adopted to collect monitoring data in a real-time manner, and then integration of ventilation and coalmine gas data is made. After that, real-time online data analysis and display can be realized by using smart guidance and multi-screen linkage technologies according to chained features of the data. In this way, daily management interfaces based on specialized knowledge are shown in a friendly manner. Therefore, the technology proposed here can greatly improve coalmine management level and work efficiency. At the end, Huangling No. 2 coalmine is taken as an example to validate the relative technologies.

2011 ◽  
Vol 65 ◽  
pp. 295-298 ◽  
Author(s):  
Fan Yang ◽  
Cai Li Zhang

Considering the insufficient ability of data processing existed in configuration software, a scheme integrated both advantages of advanced programming language and configuration software is provided. In this scheme real-time data acquisition and complex processing are achieved by advanced programming language, the human-computer interface and other functions of the monitoring system are achieved by configuration software. Configuration software achieves the purpose of expanding data processing ability by data communications between advanced programming language and configuration software based on OLE technology. The practical application result indicates that the data processing ability of configuration software can be effectively expanded based on OLE technology, which has well stability and real-time, and can play significant performance in complex parameters and data processing related monitoring system.


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.


Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6422
Author(s):  
Grega Morano ◽  
Andrej Hrovat ◽  
Matevž Vučnik ◽  
Janez Puhan ◽  
Gordana Gardašević ◽  
...  

The LOG-a-TEC testbed is a combined outdoor and indoor heterogeneous wireless testbed for experimentation with sensor networks and machine-type communications, which is included within the Fed4FIRE+ federation. It supports continuous deployment principles; however, it is missing an option to monitor and control the experiment in real-time, which is required for experiment execution under comparable conditions. The paper describes the implementation of the experiment control and monitoring system (EC and MS) as the upgrade of the LOG-a-TEC testbed. EC and MS is implemented within existing infrastructure management and built systems as a new service. The EC and MS is accessible as a new tab in sensor management system portal. It supports several commands, including start, stop and restart application, exit the experiment, flash or reset the target device, and displays the real-time status of the experiment application. When nodes apply Contiki-NG as their operating system, the Contiki-NG shell tool is accessible with the help of the newly developed tool, giving further experiment execution control capabilities to the user. By using the ZeroMQ concurrency framework as a message exchange system, information can be asynchronously sent to one or many devices at the same time, providing a real-time data exchange mechanism. The proposed upgrade does not disrupt any continuous deployment functionality and enables remote control and monitoring of the experiment. To evaluate the EC and MS functionality, two experiments were conducted: the first demonstrated the Bluetooth Low Energy (BLE) localization, while the second analysed interference avoidance in the 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) wireless technology for the industrial Internet of Things (IIoT).


2018 ◽  
Vol 14 (08) ◽  
pp. 134
Author(s):  
Ma Chun-ying ◽  
Li Biqing

The current railway track circuit monitoring system is prone to disturbances that can result in accidents. Meanwhile, basic signaling equipment is slow and cannot achieve satisfactory real-time data acquisition speed. This study aims to solve the aforementioned problems by designing an online monitoring and management platform for railway signal infrastructure, which is based on the graphical programming language LabVIEW. Online monitoring and management of railways’ basic signaling equipment allow real-time collection and communication of various signal equipment data. These processes also enable signal processing, chart display, acousto-optic alarm, user authority management, data storage, data query analysis, and report printing. The test results show that the LabVIEW-based basic signaling equipment for monitoring and managing railway systems can transmit data correctly and steadily, thereby resulting in convenient and ideal operation.


Author(s):  
Raisa Tahseen Hasanat ◽  
MD. Arifur Rahman ◽  
Nafees Mansoor ◽  
Nabeel Mohammed ◽  
Mohammad Shahriar Rahman ◽  
...  

2013 ◽  
Vol 397-400 ◽  
pp. 1673-1676 ◽  
Author(s):  
Xing Chen Zhao ◽  
Jin Qiang Li ◽  
Jian Liu ◽  
Quan Shi ◽  
Ling Sun

For large network communication equipment are in need of real time computer maintenance and management, the traditional manual management can't meet this need, so this paper designs a set of real-time data acquisition, intelligent alarm and remote control, large computer room environment monitoring system based on Zigbee. The system is composed of terminal monitoring subsystem, control subsystem and management terminal. The terminal monitoring system consists of ZigBee node through the network, and its data acquisition include temperature, humidity and smoke environmental data; MSP430F1611 and Ethernet module monitoring subsystem are responsible for packet analysis, Ethernet connection, and Web intelligent remote switch control when monitoring data reaches a threshold. The system also can be used in street lamp remote intelligent control, intelligent irrigation control system of greenhouse vegetables and so on. Therefore, it has good application value.


Sign in / Sign up

Export Citation Format

Share Document