Automatic Wireless Ambient Air and Weather Condition Monitoring System for Outdoor Environment Monitoring Applications

Kuncoro, C. Bambang Dwi; Luo, Win‐Jet; Selamet, M. Rezki; N, Sri Mulyati; S, Kurniawan Andi; Kuan, Yean‐Der

doi:10.18494/sam.2020.2604

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…, I n (n > 0, n∈R) of the 1 min data are taken after each step is stabilized, and these average values are input into the linear model for prediction. The loss function is L1Loss as shown In Equation (12), which takes the absolute value of the difference between the true value of gas concentration measured by standard equipment and the model predicted value. Adam optimizer is used for parameter optimization, and the learning rate is 0.5.…”

Section: Sensor Calibration Experimentsmentioning

confidence: 99%

“…Some scholars have proposed an atmospheric monitoring system composed of monitoring equipment and monitoring terminals, which sense ambient temperature, ambient relative humidity, ambient air pressure, carbon monoxide levels, carbon dioxide levels, and dust particle levels using sensors. This atmospheric monitoring system is wireless, in real-time, reliable, continuously recording, and portable [ 12 ]. Feng Zhenqiang proposed the design of a wireless sensor-based environmental monitoring system capable of the remote monitoring of temperature, humidity, air pressure, and PM2.5 data [ 13 ]; Philips has been working on the research and development of environmental monitoring and purification equipment [ 14 ], which can monitor and predict the atmospheric environment in real-time and is greatly convenient for managers; L. Capezuto put forward a monitoring method that allows people to obtain their own sensor nodes and participate in aerial environment monitoring through the mobile terminal [ 15 ]; Popoola constructed a sensor network platform composed of low-cost air quality sensors for quantifying air quality in urban environments [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Design of Gas Monitoring Terminal Based on Quadrotor UAV

Liu

Chen

Fan

et al. 2022

Sensors

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The problem of air pollution is an increasingly serious worldwide. Therefore, in order to better monitor the gas components in the atmosphere, the design of a gas monitoring terminal based on a quadrotor UAV, including software and hardware design, is hereby carried out. Besides, a pump-suction series cavity is designed to reduce the influence of airflow disturbance on the UAV, which is verified to possess a certain anti-interference ability through Computational Fluid Dynamics(CFD) simulation experiments. In addition, a linear regression algorithm is used for sensor calibration and a polynomial piecewise regression method is used for temperature compensation. The experimental results show that the R2 of the model reaches 0.9981, the fitting degree is rather high, and the output is closer to the real gas concentration value after calibration. At the same time, the temperature compensation parameters are determined, which considerably improves the accuracy of the entire hardware terminal. Finally, the vehicle exhaust monitoring experiment is conducted, and the experimental results show that this scheme can successfully detect the exhaust position of the vehicle exhaust under the interference of the downwash flow of the UAV, thereby proving the reliability and accuracy of the monitoring terminal.

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Section: Sensor Calibration Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Gas Monitoring Terminal Based on Quadrotor UAV

Liu

Chen

Fan

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Smart home originated in the 1980s, from the earliest electronic homes to autonomous homes, and then to today's smart homes, each evolution symbolizes technological progress and leaps. Smart home is a new residential model that integrates multiple advanced technologies such as computer Internet technology, Internet of things technology, and automatic control technology [39].…”

Section: Ipractical Application Of Cloud Computing and The Internet Of Things In The Intelligent Monitoring Of The Residential Environmenmentioning

confidence: 99%

Intelligent Monitoring System of Residential Environment Based on Cloud Computing and Internet of Things

Liu

Xiao

2021

IEEE Access

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With the development of society and the improvement of living standards, people pay more and more attention to their own living environment and life safety, and more people are gradually paying attention to the impact of the quality of the living environment on their health and work efficiency, and to meet this demand of people, it is necessary to effectively monitor and control the living environment. Based on this, this article applies cloud computing and Internet of things technologies that have developed rapidly in recent years, and proposes to design a residential environment intelligent monitoring system based on cloud computing and Internet of things, and use Internet of things and sensor technologies to achieve target connection and communication. It then uses distributed computing, a cloud computing technology, to implement integrated, standardized management of this system for truly intelligent monitoring. In this article, we first gathered a large amount of information through literature search methods, systematically introduced cloud computing and Internet of Things technologies, and introduced two applications in environmental intelligent monitoring. Next, we propose a design experiment of a residential environment intelligent monitoring system based on cloud computing and the Internet of Things, and propose an overall concept of system design, system hardware and software design requirements, and device selection and comfort evaluation. And living environment data integration is introduced in detail. We then tested the performance of the system in a specific application of the system in a real residential environment, using data parameters collected at different points in time as experimental data. Finally, it is concluded that the fuzzy close fusion algorithm used in the experiment can obtain data parameter values that are in good agreement with the real values, and the error range is controlled within 0-0.01; the indoor environment comfort is judged by 1 as the standard. PMV > 1 indicates that the comfort level is excellent, and in the test experiment, each parameter value at 5 time points is all >1, indicating that the indoor environment comfort level detected by the system is excellent.INDEX TERMS Cloud computing, Internet of Things technology, living environment, intelligent monitoring system. I. INTRODUCTION A. BACKGROUND AND SIGNIFICANCE

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“…On the other hand, the monitoring data is transmitted to the supervision platform through the transmission network. But most of the existing data acquisition equipment uses embedded system [16], and their computing and storage capacity is limited. Therefore, the cost of computation, communication, and storage should be minimized to not affect the normal operation of the data acquisition equipment.…”

Section: Introductionmentioning

confidence: 99%

Research on Data Security Model of Environmental Monitoring Based on Blockchain

2022

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With the rapid development of the social economy, the problem of environmental pollution has been widely concerned. The existing environmental monitoring system adopts a hierarchical centralized management structure, which has some problems, such as data silos and the risk of data falsification. Thus, this paper proposes an environmental monitoring data security model based on the blockchain, which uses the blockchain distributed storage mode to realize the secure sharing of monitoring data and curb the behavior of data forgery. A practical Byzantine fault tolerant mechanism based on credit grouping supervision is adopted to reduce the computation and communication overhead caused by data consensus. Through the cloud chain fusion technology, the encrypted monitoring data is stored on the cloud storage server, and the monitoring data credentials are stored on the blockchain to reduce the storage pressure. And AES(Advanced Encryption Standard) combined with the RSA (Rivest-Shamir-Adleman) encryption algorithm to ensure the security of data transmission and storage. Security analysis and experiments demonstrate that our proposed scheme achieves authenticity, integrity, and security for monitored data. In addition, it effectively reduces the computation, communication, and storage overhead of the block nodes.INDEX TERMS Environmental monitoring, blockchain, data security, practical Byzantine fault tolerance mechanism, cloud chain fusion.

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Automatic Wireless Ambient Air and Weather Condition Monitoring System for Outdoor Environment Monitoring Applications

Cited by 6 publications

References 5 publications

Design of Gas Monitoring Terminal Based on Quadrotor UAV

Design of Gas Monitoring Terminal Based on Quadrotor UAV

Intelligent Monitoring System of Residential Environment Based on Cloud Computing and Internet of Things

Research on Data Security Model of Environmental Monitoring Based on Blockchain

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