Research on environmental monitoring and control technology based on intelligent Internet of Things perception

Lu, Ting; Chen, Xiaolong; Bai, Wenhao

doi:10.1049/joe.2018.9154

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…The specific content includes the static perception of the physical environment, the dynamic perception of the hidden danger environment, etc. [60]. The intelligent interaction can also be called the intelligent fusion technology of human-machine-environment elements, which refers to the situational cognitive function of intelligent humans and intelligent machines, and then to realize the semantic analysis of information parameters and intelligent processing of data information among each element.…”

Section: What Are Its Contents?mentioning

confidence: 99%

Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big Data

Dong

Wang

2022

IJERPH

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Safety ergonomics is an important branch of safety science and environmental engineering. As humans enter the era of big data, the development of information technology has brought new opportunities and challenges to the innovation, transformation, and upgrading of safety ergonomics, as the traditional safety ergonomics theory has gradually failed to adapt to the need for safe and clean production. Intelligent safety ergonomics (ISE) is regarded as a new direction for the development of safety ergonomics in the era of big data. Unfortunately, since ISE is an emerging concept, there is no research to clarify its basic problems, which leads to a lack of theoretical guidance for the research and practice of ISE. In order to solve the shortcomings of traditional safety ergonomics theories and methods, first of all, this paper answers the basic questions of ISE, including the basic concepts, characteristics, attributes, contents, and research objects. Then, practical application functions of ISE are systematically clarified. Finally, following the life cycle of the design, implementation, operation, and maintenance of the system, it ends with a discussion of the challenges and application prospects of ISE. The conclusion shows that ISE is a cleaner research direction for ergonomics in the era of big data, that it can deepen the understanding of humans, machines, and environment systems, and it can provide a new method for further research on safety and cleaner production. Overall, this paper not only helps safety researchers and practitioners to correctly understand the concept of intelligent safety ergonomics, but it will certainly inject energy and vitality into the development of safety ergonomics and cleaner production.

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Section: What Are Its Contents?mentioning

confidence: 99%

Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big Data

Dong

Wang

2022

IJERPH

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“…The increasingly serious issue of environmental pollution has promoted the rapid development of environmental monitoring [ 14 ]. Environmental monitoring has been conducted for more than 50 years.…”

Section: Related Workmentioning

confidence: 99%

Low-Power Failure Detection for Environmental Monitoring Based on IoT

Liu

Weizhong

Dong

et al. 2021

Sensors

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Many environmental monitoring applications that are based on the Internet of Things (IoT) require robust and available systems. These systems must be able to tolerate the hardware or software failure of nodes and communication failure between nodes. However, node failure is inevitable due to environmental and human factors, and battery depletion in particular is a major contributor to node failure. The existing failure detection algorithms seldom consider the problem of node battery consumption. In order to rectify this, we propose a low-power failure detector (LP-FD) that can provide an acceptable failure detection service and can save on the battery consumption of nodes. From simulation experiments, results show that the LP-FD can provide better detection speed, accuracy, overhead and battery consumption than other failure detection algorithms.

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“…Por ejemplo: el proyecto SensorScope [1] persigue este objetivo haciendo uso de las redes de sensores inalámbricos (WSN, Wireless Sensor Networks), estas redes son muy versátiles ya que pueden auto organizarse y permiten un ruteo con varios saltos, para la entrega de información a su destino. En [7] se presenta un estudio sobre tecnologías de monitoreo ambiental y control en un sistema de internet de las cosas inteligente. Se propone igualmente un sistema jerárquico que incluye una capa de percepción inteligente que obtiene y transmite los datos a un servidor de nivel de aplicación a través de una capa de comunicación de red y una capa de aplicación que ejecuta el análisis de los datos.…”

Section: Estado Del Arteunclassified

Aplicación de tecnologías inalámbricas al monitoreo climatológico en la cuenca del Río Paute

Vazquez-Rodas

Astudillo‐Salinas

Minchala

2021

RITI

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The program for the management of the water and soil (PROMAS) is a research department of the University of Cuenca. It focuses on the monitoring and conservation of the water sources and natural resources. Among others, such program mainly requires the monitoring of several variables by means of a set of hydro-meteorological stations. From its beginning, the program has deployed around 130 stations in an extensive geographic area of interest, ranging from the Cajas sector in the province of Azuay to the province of Cañar. Currently, the meteorological stations stores the variables of interest in their internal memory. Then, the analysis of the collected data requires the physical displacement of the Promas staff to the different sites. Due to the fact that most of the remote sites are of difficult access, the personal obtain the information with a periodicity of around 30 and 45 days. In this context, this paper describes the work on progress whose main objective is to provide to the meteorological stations with the wireless transmission capacity of the data collected by the sensors to the Promas data center in real time.

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Research on environmental monitoring and control technology based on intelligent Internet of Things perception

Cited by 9 publications

References 5 publications

Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big Data

Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big Data

Low-Power Failure Detection for Environmental Monitoring Based on IoT

Aplicación de tecnologías inalámbricas al monitoreo climatológico en la cuenca del Río Paute

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