The Research of Data Privatization Based on Cloud Wisdom Remote Monitoring System

2014 ◽  
Vol 945-949 ◽  
pp. 3376-3379
Author(s):  
Dan Dan Yi ◽  
Huai Qiao Ying ◽  
Xiao Ping Liu ◽  
Song Shen ◽  
Wei Lv

The cloud wisdom remote monitoring system, based on advanced data acquisition device/server/browser architecture, combines the virtual instrument technology, embedded technology, the Internet technology and cloud computing technology. The system includes three parts: a front-end data acquisition hardware which has the Internet access, the back-end cloud computing center and mobile terminal which is in the hands of the operator. In this system, the test data is in the cloud computing center. Taking account of data security and privacy, this paper proposed the solution of data privatization, mainly by establishing a private customer data server which has the mutual access with the cloud computing center to preserve the original test data in the cloud wisdom remote monitoring system.

2012 ◽  
Vol 201-202 ◽  
pp. 678-681
Author(s):  
Dong Ming Xu ◽  
Li Sheng Shu

A general embedded remote monitoring system for industrial equipment has been designed based on Field Bus Technology and Internet Technology. The Field Bus includes PROFIBUS, CAN, RS-485 and RS-232. The data of the device controlled in the system can be detected and transmitted to PC via Internet. Upper monitor in the system is remote PC. Console computer, which can communicate with industrial equipment controller by Field Bus, is the controller of field data acquisition unit. Two working modes can be realized in the system. One is the data of operating status, which is gotten by Field Bus before transferred to PC. The other is the data of operating status, which is detected by field data acquisition unit in remote monitoring system. Maintenance and management becomes convenient after applying the remote monitoring system.


2014 ◽  
Vol 1014 ◽  
pp. 525-529 ◽  
Author(s):  
Jun Zhang ◽  
Yuan Sheng Liu ◽  
Lin Xue

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.


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


2014 ◽  
Vol 508 ◽  
pp. 192-195
Author(s):  
Zhi Dong Wang ◽  
Yu Guo ◽  
Heng Ye ◽  
Bing Yang

By utilized VISA functions provided by LabVIEW, we can easily and successfully realize the serial communication between cardiechema senor and monitoring system, as well as collected data written into and read from Access through database functions. The perfect combination between the internet technology and the virtual instrument has provided a promising platform for the realization of the virtual instrument networking. This paper mainly introduces the construction of phonocardiogram monitoring system which has some functions such as real-time monitoring, data storage, signal preprocessing, playback, characteristic signal extraction, remote monitoring and so on.


2017 ◽  
Vol 865 ◽  
pp. 694-700
Author(s):  
Quan Wang ◽  
Chuan Tian ◽  
Tian Liang Hu ◽  
Cheng Rui Zhang ◽  
Li Xue Xu

The implementation of remote monitor in workshop can improve the production efficiency and contribute to the production management. In this paper, a remote monitoring system of air-jet loom workshop based on B/S structure is designed. The system adopts wireless networking mode in hardware and mainly consists of data acquisition module, database service module and Web service module in software. The data acquisition module is implemented with Visual C++. MySQL is chosen as the database management to design database service module. The Web service module is developed on the platform of asp.net and it is released on the IIS platform of cloud server, so that users can visit the Web site through browser clients. Different yarn materials need to be configured with different parameters. The loom computer can send requests to the cloud server for parameters. The system can analyze the types of yarn materials according to the requests and configure different parameters. This will be quite convenient for workers to change yarn materials.


2012 ◽  
Vol 263-266 ◽  
pp. 387-391 ◽  
Author(s):  
Qun He ◽  
Guo Qian Jiang ◽  
Zi Kou Yu ◽  
Ping Xie

Rapid development of wind power generation and increasing growth of installed capacity of wind turbines make it necessary to study the power quality in wind farms. To monitoring the power quality in wind farms automatically and in real time, this paper presents a remote monitoring system for power quality based on LabVIEW software and Internet technology. The remote panel technology in LabVIEW and the Browser/Client (B/S) mode are adopted. This system mainly consists of monitoring hardware devices, the server, LabVIEW application software and remote clients. In the system, the remote clients in monitoring center workstations can monitor in real time power quality parameters of each wind turbine in wind farms through the VI control panel in the Internet browser. Thus it enables to improve automation level of wind farms and reduce operation and maintenance cost. The feasibility and coordination of the developed system are validated by experimental simulating results in the laboratory environment.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6892
Author(s):  
Mohamed Benghanem ◽  
Adel Mellit ◽  
Mohammed Emad ◽  
Abdulaziz Aljohani

In this work, a smart solar still prototype for water desalination is designed. It consists of a basic solar still, a solar preheater and a remote monitoring system based on the Internet of Things (IoT) technique. The monitoring system is developed and integrated into the hybrid solar still in order to control its evolution online, as well the quality of the freshwater provided by checking measured parameters such as pH. Thanks to the IoT technique, parameters collected by the monitoring system (e.g., air temperatures, relative humidity, etc.) are uploaded to the cloud for online remote monitoring. The users are notified by an SMS about the status of the system (e.g., water level in the basin, water in the tank, etc.), using an GSM module. The whole system, including the preheater, water pump, valve, sensors and an electronic board, is powered by a photovoltaic module of 75 Wp. The results showed that by adding a solar preheater system, the evaporation process is accelerated and, consequently, the daily yield is improved and reaches the value of 12.165 L/m2/day. The saline concentration of the tested ground water is 3.9 g/Kg (0.39%), and, after desalination, the salinity is 0.1 g/Kg (0.01%).


Sign in / Sign up

Export Citation Format

Share Document