Software and hardware system for monitoring and control of the optical-physical state of the atmosphere: part 2: methods and algorithms for data processing

2021 ◽  
Author(s):  
Victor . Galileyskii ◽  
Alexey I. Elizarov ◽  
Dmitry V. Kokarev ◽  
Gennadii G. Matvienko ◽  
Alexander M. Morozov
Keyword(s):  
Data Processing ◽  
Physical State ◽  
Monitoring And Control ◽  
Hardware System ◽  
Software And Hardware ◽  
And Control

Software and hardware system for monitoring and control of the optical-physical state of the atmosphere: part 1: panoramic optical station

2021 ◽  
Author(s):  
Victor P. Galileyskii ◽  
Alexey I. Elizarov ◽  
Dmitry V. Kokarev ◽  
Gennadii G. Matvienko ◽  
Alexander M. Morozov
Keyword(s):  
Physical State ◽  
Monitoring And Control ◽  
Hardware System ◽  
Software And Hardware ◽  
And Control

An Integrated Architecture for Satellite Control Center System

2014 ◽  
Vol 951 ◽  
pp. 269-273 ◽  
Author(s):  
Hui Ping Shang ◽  
Ying Jia ◽  
Jian Xing Wang
Keyword(s):  
Data Processing ◽  
Data Storage ◽  
Lower Layer ◽  
Processing System ◽  
Database Management System ◽  
Monitoring And Control ◽  
Application Process ◽  
Time Service ◽  
And Control ◽  
Functional Components

This paper presents a layered and integrated approach to the SCC system in TT&C area. The SCC system is developed to encapsulate this approach. A four-layer hierarchy is proposed for the SCC system among the following layers: user agent layer, application process layer, lower layer services and support, and hardware. The SCC system includes nine functional components: monitoring and control, data display, command operation, data processing, data storage and management, orbit calculation and analysis, interface computer software, duplex management and time service. The SCC system is implemented as five functional subsystems: data processing system, database management system, operation and control system, and interface computer system. Details of the overall system architecture and the integration of the above components and subsystems are included in the paper.

scholarly journals Prototyping IoT-Based Virtual Environments: An Approach toward the Sustainable Remote Management of Distributed Mulsemedia Setups

2021 ◽  
Vol 11 (19) ◽  
pp. 8854
Author(s):  
Telmo Adão ◽  
Tatiana Pinho ◽  
Luís Pádua ◽  
Luís G. Magalhães ◽  
Joaquim J. Sousa ◽  
...  
Keyword(s):  
Virtual Environments ◽  
Business Models ◽  
Monitoring And Control ◽  
Remote Management ◽  
Management Processes ◽  
Digital Contents ◽  
Software And Hardware ◽  
In Situ Management ◽  
Remote Design ◽  
And Control

Business models built upon multimedia/multisensory setups delivering user experiences within disparate contexts—entertainment, tourism, cultural heritage, etc.—usually comprise the installation and in-situ management of both equipment and digital contents. Considering each setup as unique in its purpose, location, layout, equipment and digital contents, monitoring and control operations may add up to a hefty cost over time. Software and hardware agnosticity may be of value to lessen complexity and provide more sustainable management processes and tools. Distributed computing under the Internet of Things (IoT) paradigm may enable management processes capable of providing both remote control and monitoring of multimedia/multisensory experiences made available in different venues. A prototyping software to perform IoT multimedia/multisensory simulations is presented in this paper. It is fully based on virtual environments that enable the remote design, layout, and configuration of each experience in a transparent way, without regard of software and hardware. Furthermore, pipelines to deliver contents may be defined, managed, and updated in a context-aware environment. This software was tested in the laboratory and was proven as a sustainable approach to manage multimedia/multisensory projects. It is currently being field-tested by an international multimedia company for further validation.

Sensor System based on in-fiber Bragg Grats and Interrogator with Spectral Time Channel Separation

2021 ◽  
Vol 23 (5) ◽  
pp. 247-254
Author(s):  
I.L. Borisenkov ◽  
◽  
K.E. Voronov ◽  
G.I. Leonovich ◽  
M.P. Kalayev ◽  
...  
Keyword(s):  
Hardware Implementation ◽  
Sensor System ◽  
Test Results ◽  
Monitoring And Control ◽  
Board Monitoring ◽  
Monitoring And Control Systems ◽  
Software And Hardware ◽  
Channel Separation ◽  
The Cost ◽  
And Control

The principle of construction and a variant of the software and hardware implementation of the sensor system based on intra-fiber Bragg gratings (FBG) by the example of temperature measurement are proposed. The use of spectral-time separation of measuring channels, which takes into account the features of the functioning and placement of sensors based on FBGs, can significantly reduce the cost, dimensions, weight and power consumption of the interrogator, and neutralize the difficulties in setting up and periodic calibration typical for serial products. The test results of the system show the directions and prospects of using the developed equipment as part of portable and on-board monitoring and control systems.

FFU Motors Group Control System Based on Wireless Sensor

2012 ◽  
Vol 229-231 ◽  
pp. 1222-1225
Author(s):  
Yi Wang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Control System ◽  
Wireless Sensor ◽  
Control Network ◽  
Monitoring And Control ◽  
Group Control ◽  
Filter Unit ◽  
Software And Hardware ◽  
And Control ◽  
Control Accuracy

A novel fan filter unit (FFU) motors group control system based on ZigBee wireless sensor networks is designed and implemented. The overall structure and composition of the proposed system were described. The design was achieved by software and hardware, used the digita1 signal controller (DSC) dsPIC30F3010 as the control core. The group system communicate by the use of ZigBee wireless sensor network based CC2531,which effectively overcome the traditional FFU fan group control network wiring complexity and high cost disadvantages, and improve the flexibility and control accuracy, meanwhile reducing system cost.The testing results show that the proposed system is feasible, accurate monitoring and control effectively, has the high valuable in engineering and marketing.

scholarly journals Low-Cost Air Quality Sensing towards Smart Homes

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 453
Author(s):  
Hamid Omidvarborna ◽  
Prashant Kumar ◽  
Joe Hayward ◽  
Manik Gupta ◽  
Erick Giovani Sperandio Nascimento
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Data Processing ◽  
Low Cost ◽  
Smart Homes ◽  
Monitoring And Control ◽  
Spatio Temporal ◽  
Key Steps ◽  
And Control

The evolution of low-cost sensors (LCSs) has made the spatio-temporal mapping of indoor air quality (IAQ) possible in real-time but the availability of a diverse set of LCSs make their selection challenging. Converting individual sensors into a sensing network requires the knowledge of diverse research disciplines, which we aim to bring together by making IAQ an advanced feature of smart homes. The aim of this review is to discuss the advanced home automation technologies for the monitoring and control of IAQ through networked air pollution LCSs. The key steps that can allow transforming conventional homes into smart homes are sensor selection, deployment strategies, data processing, and development of predictive models. A detailed synthesis of air pollution LCSs allowed us to summarise their advantages and drawbacks for spatio-temporal mapping of IAQ. We concluded that the performance evaluation of LCSs under controlled laboratory conditions prior to deployment is recommended for quality assurance/control (QA/QC), however, routine calibration or implementing statistical techniques during operational times, especially during long-term monitoring, is required for a network of sensors. The deployment height of sensors could vary purposefully as per location and exposure height of the occupants inside home environments for a spatio-temporal mapping. Appropriate data processing tools are needed to handle a huge amount of multivariate data to automate pre-/post-processing tasks, leading to more scalable, reliable and adaptable solutions. The review also showed the potential of using machine learning technique for predicting spatio-temporal IAQ in LCS networked-systems.

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