scholarly journals IoT Based Air Quality Monitoring System

Author(s):  
Mr. Nitin V. Bansod ◽  
Prof. U.W. Hore

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript web-mapping library.

Author(s):  
Mr. Nitin V. Bansod ◽  
Prof. U. V. Hore

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript webmapping library.


2017 ◽  
Vol 13 (07) ◽  
pp. 91
Author(s):  
Yecong He ◽  
Min Tan

<span style="font-family: 宋体; font-size: 10pt; mso-fareast-language: ZH-CN; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">U</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">sing wireless sensor networks to collect indoor temperature and humidity data</span><span style="font-family: 宋体; font-size: 10pt; mso-fareast-language: ZH-CN; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">,</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> a monitoring system is built.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">According to the data of the central processing unit, the state of the current room is analyzed, and the cooling capacity (heat) and air volume of the central air conditioner are calculated. Meanwhile, this system calculates the relevant fees based on the amount of cold (heat) consumed by each user, and provides a more accurate data base for the central air conditioning system for energy efficiency optimization. The</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">results show that this system can accurately reflect the environmental status of the target room.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Therefore, </span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">it is concluded that </span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">the indoor environment monitoring system based on wireless sensor network and embedded technology proposed in this paper is effective and feasible.</span>


2014 ◽  
Vol 23 (03n04) ◽  
pp. 1450024
Author(s):  
Michael Gouzman ◽  
Serge Luryi

A shortcoming of the contemporary power grid monitoring is that the system does not know its own state. Instead of taking automatic note of energy-flow disruptions, one deals with haphazard telephone reports of “no light in our house”. We propose a novel monitoring system that requires no restructuring of the power distribution network and can be applied both to the existing grids and the future “smart grids”. The proposed system is based on a network of inexpensive sensors, installed on every connecting line and communicating measured data to a central processing unit. Our approach is topological in nature, based on the connectivity aspects of the power grid embodied in Kirchhoff's current law that must be valid at every node of the network. We argue that the state of the network can be adequately characterized by specifying the RMS currents and the direction of energy flow in all connecting lines. It is essential that in this description one does not have to know the magnitude of the energy flow, only its direction. This eliminates the need to measure voltage, which would be prohibitively costly on the massive scale. In contrast, the relative phase between the current and voltage can be measured easily. Another essential point is that the instantaneous RMS currents are impractical to record and communicate, hence local averaging is required. Since Kirchhoff's law should remain valid upon averaging, the latter must be carried out at each sensor synchronously over the entire network with global synchronization provided by the GPS.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
M. Jaiganesh ◽  
A. Vincent Antony Kumar

Cloud computing started a new era in getting variety of information puddles through various internet connections by any connective devices. It provides pay and use method for grasping the services by the clients. Data center is a sophisticated high definition server, which runs applications virtually in cloud computing. It moves the application, services, and data to a large data center. Data center provides more service level, which covers maximum of users. In order to find the overall load efficiency, the utilization service in data center is a definite task. Hence, we propose a novel method to find the efficiency of the data center in cloud computing. The goal is to optimize date center utilization in terms of three big factors—Bandwidth, Memory, and Central Processing Unit (CPU) cycle. We constructed a fuzzy expert system model to obtain maximum Data Center Load Efficiency (DCLE) in cloud computing environments. The advantage of the proposed system lies in DCLE computing. While computing, it allows regular evaluation of services to any number of clients. This approach indicates that the current cloud needs an order of magnitude in data center management to be used in next generation computing.


2013 ◽  
Vol 448-453 ◽  
pp. 1457-1460
Author(s):  
Jin Gang Yang ◽  
Jia Qi Xu

The application system of solar energy comprises: solar water heating system, solar heating system and solar photovoltaic system, etc. The data monitoring system used in the solar water heating system consists of measuring and monitoring equipment, data acquisition appliances and data-center softwares. The measuring and monitoring equipment includes outdoor temperature sensor, total solar irradiance sensor, water inlet and outlet temperature sensor of heat collecting system, circulating flow sensor of heat collecting system and the electric meter for supplementary heat source, etc.. The data monitoring system used in the solar photovoltaic system consists of measuring and monitoring equipment, data acquisition appliances and data-center softwares. The measuring and monitoring system is composed of outdoor temperature sensor, total solar irradiance sensor, the sensor for the surface temperature of back panel of solar photovoltaic modules and electric meter for the monitoring of power generation of solar photovoltaic system, etc.


2014 ◽  
Vol 926-930 ◽  
pp. 474-477
Author(s):  
Ling Zhang ◽  
Mu Qin Tian

This paper describes an indoor monitoring system based on Atmega128L, which uses the temperature, smoke and carbon monoxide sensor to collect indoor danger signals, analyzes the field data collected wireless transceiver device and a central processing unit composed by Atmega128L and NRF24L01 single chip, and meanwhile transmits the information to a small control room, making abnormal indoor information processed timely.


2013 ◽  
Vol 722 ◽  
pp. 379-383
Author(s):  
Shun Jing Guo ◽  
Jing Li

A new portable gas detect & alarm device which is controlled by Single Chip Micyoco is proposed in this paper, which means the hardware and drivers designation of system uses STM32F103 as its central processing unit and also expounds the detail of software and hardware design. The system communicates with metrical instrument by the RS485 BUS. It can monitor the mine gas in network. It has good man-machine interaction contact surface and can be inserted into intelligence instrument as a general module.


2014 ◽  
Vol 137 (1) ◽  
Author(s):  
Vikneshan Sundaralingam ◽  
Vaibhav K. Arghode ◽  
Yogendra Joshi ◽  
Wally Phelps

The data center industry has experienced significant growth over the last decade, mainly due to the increased use of the internet for our day to day activities such as e-commerce, social media, video streaming, and healthcare. This growth in demand results in higher energy costs, as data centers can be energy intensive facilities. A significant portion of the energy used in data centers is for cooling purposes. Hence, it is one of the important areas of optimization to be addressed to create more efficient data centers. Among the many ways to increase data center efficiencies, air flow management is a key solution to many existing data centers. Fundamentally, there are three main schemes: hot-aisle containment, cold-aisle containment, and exhaust chimney containment. This paper's focus is to experimentally characterize the following cold aisle configurations: open aisle, partially contained aisle, and fully contained aisles. Experimental data presented to evaluate the effectiveness of the different configurations are rack inlet contour plots, tile and rack flow rates, pressure measurements, and server central processing unit (CPU) temperatures.


2020 ◽  
Author(s):  
Roudati jannah

Perangkat keras komputer adalah bagian dari sistem komputer sebagai perangkat yang dapat diraba, dilihat secara fisik, dan bertindak untuk menjalankan instruksi dari perangkat lunak (software). Perangkat keras komputer juga disebut dengan hardware. Hardware berperan secara menyeluruh terhadap kinerja suatu sistem komputer. Prinsipnya sistem komputer selalu memiliki perangkat keras masukan (input/input device system) – perangkat keras premprosesan (processing/central processing unit) – perangkat keras luaran (output/output device system) – perangkat tambahan yang sifatnya opsional (peripheral) dan tempat penyimpanan data (storage device system/external memory).


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