IoT Monitoring Research Articles

Usage of IOT and remote monitoring in a telemedicine application: A descriptive data

Telemonitoring in heart failure patients has become one of the tools to observe the patient's wellbeing from the comfort of their home. Patient may input important data through the application of a smartphone. We aim to describe the background data of patients who has enrolled in our telemonitoring pilot programme.

IoT monitoring system for air quality assessment and collecting data

The composition of the air has been visibly altered as a result of human activity, resulting in what we term air pollution. It is no longer necessary to prove the effects on ecosystems and human health. Under these conditions, governments all around the world are working to address this issue, notably in the area of real-time air quality monitoring. The implementation of a data provider is a necessary step in achieving this goal. In that case, this study presents a hardware and software solution to provide a low-cost deployable device to acquire environmental data related to AP such as CO, CO<sub>2</sub>, NH<sub>3</sub>, and NO<sub>2</sub>, along with temperature and humidity. In addition to an user interface development, a complete circuit layout and a set of software criteria are set up to ensure a reliable implementation, data collection, and network communications. The results demonstrated that the device is capable of effectively obtaining real-time data. The analysis results indicate a link between environmental conditions and parameter values. This system deployment will ultimately contribute to providing a more elaborate mapped data distribution, according to a better understanding of our environment.<br /><br />

A Modularized IoT Monitoring System with Edge-Computing for Aquaponics

Aquaponics is a green and efficient agricultural production model that combines aquaculture and vegetable cultivation. It is worth looking into optimizing the proportion of fish and plants to improve the quality and yield. However, there is little non-destructive monitoring of plant growth in aquaponics monitoring systems currently. In this paper, based on the Internet of Things technologies, a monitoring system is designed with miniaturization, modularization, and low-cost features for cultivation-breeding ratio research. The system can realize remote monitoring and intelligent control of parameters needed to keep fish and plants under optimal conditions. First, a 32-bit chip is used as the Microcontroller Unit to develop the intelligent sensing unit, which can realize 16 different data acquisitions as stand-alone extensible modules. Second, to achieve plant data acquisition and upload, the Raspberry Pi embedded with image processing algorithms is introduced to realize edge-computing. Finally, all the collected data is stored in the Ali-cloud through Wi-Fi and a WeChat Mini Program is designed to display data and control devices. The results show that there is no packet loss within 90 m for wireless transmission, and the error rate of environment parameters is limited to 5%. It was proven that the system is intelligent, flexible, low-cost, and stable which is suitable for small-scale aquaponics well.

Heart failure rehospitalization prevention by IoT monitoring: feasibility study protocol.

Heart failure rehospitalization prevention by IoT monitoring: feasibility study protocol.

Withdrawn: IOT Monitoring of Debris Flow for Rigid Barrier

Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php Bentham Science Disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

The condition monitoring of rotating machines for critical applications plays an important role in reducing downtime. With Industry 4.0, the role of IoT in online condition monitoring of electrical machines has gained considerable significance. The main aim of the paper is the use of IoT for online monitoring of motor parameters like current, temperature, vibration, and humidity and observing its online trending using a web server. Data can be accessed in form of graphs and widgets by visiting the web page. The advantage of this project is the real-time monitoring of the motor from any remote area and in case of any abnormality operating personnel can take necessary steps for preventing complete breakdown. The proposed work can help industry people in online monitoring of motors and in the future work can be extended for fault prediction and classification.

Water IoT Monitoring System for Aquaponics Health and Fishery Applications.

Aquaponic health is a very important in the food industry field, as currently there is a huge amount of fishing farms, and the demands are growing in the whole world. This work examines the process of developing an innovative aquaponics health monitoring system that incorporates high-tech back-end innovation sensors to examine fish and crop health and a data analytics framework with a low-tech front-end approach to feedback actions to farmers. The developed system improves the state-of-the-art in terms of aquaponics life cycle monitoring metrics and communication technologies, and the energy consumption has been reduced to make a sustainable system.

Software Development Data Analysis and Processing under the Internet of Things Monitoring System

In order to solve the problem of highly extensible vibration test data acquisition and analysis, the author proposes a method for software development data analysis and processing under the Internet of Things monitoring system. The software platform is mainly designed through the design of software architecture based on multitask operation, active window design, reserved API interface and hardware universal design; it ensures the strong expansibility of the software platform, so as to realize the universality of the software platform. High-level vibration data analysis software designed based on this platform, such as modal parameter identification and dynamic load identification software, can be easily redeveloped by using the existing functions and software architecture of the platform, expand software functions, realize more complex vibration data analysis and processing, reduce repetitive labor, and speed up the software development process. The results showed that: the amplitude error is less than 4%. Conclusions. The feasibility and availability of software development data under the IoT monitoring system are verified.

IoT Based Air Quality Monitoring System

IoT Based Air Pollution Monitoring System '' supports showing the quality of air in PPM over the LCD along with that on the web sheet therefore, as this can simply be scrutinized. In order to show the impact of “IoT based Air Quality Monitoring System '', flowcharts, graphs, digraphs and tables have been shown in an effective manner. According to the Statista, it has been estimated that “air quality monitoring IoT '' services along with products would be a significant economic value of 50 up to 60 billion US dollars by the year of 2025. In the present times the condition of air is not that good due to the increasing pollution rate in the past several years. In order to conduct this research work in an effective manner, a secondary data collection method has been taken and all the secondary data resources have been taken to conduct the research in a suitable manner. “IoT based Air Quality Monitoring system” has been suitably designed to quantity the mutual “air quality index” and it also helps in standardizing the results with “India’s Air Pollutant Index'' to suitably indicate the strictness of air superiority. The most harmful air pollutant gasses are NOx, LPG, CO2, NH3, Benzene, alcohol and benzene. In addition, with the help of this system, temperature along with humidity both can effectively be monitored. LPG gas has been suitably detected to use MQ135 and MQ6 sensors and this has been used for monitoring the air’s quality as it helps in detecting all these harmful elements. In this research work, it has been shown that focusing on “Triple Bottom Line '' theory can be effective as this theory helps in showing the ways through which environmental sustainability can be maintained easily. Keyword : IoT based Air Quality Monitoring system, India’s Air Pollutant Index, air quality monitoring IoT .

Hydroponic Box Design with an IoT Monitoring System

Hydroponics is a choice for people who wish to plant various types of plants that can be consumed daily by the growers. In addition, hydroponics is one method of growing crops on a small area of land so that it is highly suitable for cultivation in urban areas. However, this system has several shortcomings, particularly how hydroponics requires a controlled environment, especially in monitoring temperature and humidity. Temperature and humidity need to be monitored and controlled to avoid reducing the quality of the plants and prevent them from withering. Therefore, aBlynk-based nutrition monitoring system (IoT) is needed to save time. This IoT system is built using a NodeMCU ESP8266 microcontroller which is supported by internet access.

A forensic investigation framework for Internet of Things monitoring

With low-energy wireless sensing platforms enabling communications between the physical world and numerous Internet based digital devices, Internet connected physical objects have blurred the lines that traditionally separated a physical scene from the digital scene. Whilst sophisticated new Internet enabled physical objects are rapidly introduced for various IoT applications, the increasing variety and similarities of the connected Things to ordinary physical objects has significant implications for the digital forensic process of identification. The often-constrained Things, however, communicate utilizing new and improved technologies that provide for robust wireless communications where other traditional wireless technologies are less suitable. This brings the opportunity to gather valuable insights from the radio frequency signals of a physical environment. This research introduces a novel concept of harnessing radio frequency signals to discover, determine and locate the wireless sensing deployments of a digital scene. A model of the system for IoT monitoring combines the processes of collecting communications between connected Things, building the logical topologies and predicting the locations of disparate Things. The design of this solution is suited to benefit both forensic investigators and law enforcement agencies.

High efficient low cost gamma-ray radiation sensor based on IoT platform

In the radiation sensing community, it's very important to detect gamma-ray radiation using remote sensing like IoT platforms. In this paper, high efficient low cost gamma-ray radiation sensor is designed to monitor and early detect radioactive materials that are present in the environment, and this is to be achieved based on IoT platform. Such platform provides a safer monitoring technique that helps avoiding the direct exposure to radiation and allows the exploration of inaccessible places. This paper conducts a deep informed study of N-channel (NMOS) and P-channel (PMOS) MOSFETs to be used as a dosimeter and sensor for gamma-ray radiation. The proposed technique herein uses the active load configuration of MOSFETs to detect the output current or the channel on resistance.MOSFET drain current and channel resistance values are changed based on variations of threshold voltage (VT) that are affected directly by the dose of absorbed gamma-ray radiation. For the purpose of sensing the ionizing radiation, the change ratios of output current or channel resistance values; due to threshold voltage shifting, are measured. A complete prototype of the proposed gamma-ray radiation IoT monitoring solution has been built and tested in a real gamma radiation environment over a dose range from 10 Gy up to 40 Gy. The highest current sensitivity of the proposed dosimeter was 0.579 mA/Gy and 0.529 mA/Gy for NMOS and PMOS respectively. The practical results show that the IoT monitoring radiation system is able to efficiently detect the gamma radiation remotely using low cost MOSFET transistors.

Multi-Gene Genetic Programming of IoT Water Quality Index Monitoring from Fuzzified Model forOreochromis niloticusRecirculating Aquaculture System

Real-time water quality index (WQI) monitoring – a simplified single variable indication of water quality (WQ) – is vital in attaining a sustainable future in precision aquaculture. Although several monitoring systems for water quality parameters (WQP) use IoT, there is no existing WQI IoT monitoring forOreochromis niloticusbecause the current WQI models are too complex to be deployed for low-level computing platforms such as the IoT modules and dashboards. Thus, the development of the IoT-based WQI fuzzy inference system (FIS) was simplified by the multi-gene genetic programming (MGGP) to search for non-linear equations given the simulated WQP fuzzy sets. Results have shown that the implemented novel system can accurately predict the WQI IoT monitoring with an average of R2and RMSE of 0.9112 and 0.6441, respectively. Implementing WQI in the IoT monitoring dashboard using the MGGP has significantly addressed the present challenges in deploying other complex AI-based models for WQI, such as the FIS and neural networks in low-computing capable platforms.

Monitoring of rainfall-induced landslides at Songmao and Lushan, Taiwan, using IoT and big data-based monitoring system

Monitoring of rainfall-induced landslides at Songmao and Lushan, Taiwan, using IoT and big data-based monitoring system

Low Cost Smart Ground System for Rainwater Harvesting for Indian Houses using IoT Technology

Water conservation is critical because it is one of the most significant factors for all species' survival. According to the Central Ground Water Board's estimates, underground water will be scarce in 15 Indian states by 2025 (Firstpost. Two-third of the world, much of India to face water scarcity, stress by 2025: Expert, 2018). However, as per the report from Ministry of Environment and Forest, only 10 to 20% rainwater is harvested. In urban areas, it is seen that nowadays concrete structures are constructed everywhere, so it is not possible to recharge the water table by natural process of raining. All the rainwater which is one of the sources for fresh water goes to drain. This causes the depletion of groundwater level which may be fatal in the future. Therefore, a rainwater harvesting system is required in Indian household to conserve water. On the other hand, the urban cities are having high pollutant levels which in turn affecting the quality of water. The government has defined certain parameters for quality checking of water. With the aid of the suitable sensors and IoT boards, quality checking, monitoring and water segregation can be easily achieved. In this work, an efficient and cost effective technique of rainwater harvesting has been presented. Some real case studies have been done at Indian houses in order to validate the effectiveness of system in terms of its implementation and cost analysis. As a result, the proposed system becomes one of the smart solutions to address the modern problem of rainwater harvesting with water quality management in low cost.

Electrical fire monitoring IoT framework for ancient architectural complex leveraging edge computing

SummaryElectrical fires caused by leakage, short circuit, overload, and other electrical failures occur frequently in residential areas, and failure to find and locate the fault location in time is the main reason for the evolution of circuit fault into electrical fire, especially in the ancient buildings with aging circuit facilities. Different from modern large‐scale buildings, ancient architectural complex is composed of a large number of scattered low buildings with inconsistent facility specifications and simple structure, so it does not have the conditions to deploy unified electrical lines and establish traditional large‐scale circuit monitoring system. In this study, we design an electrical fire monitoring IoT (EFM‐IoT) framework, which can realize early fire warning by monitoring the residual current of appliances and is easy to deploy in ancient buildings. EFM‐IoT adopts the data cleaning mechanism based on report form to filter redundant data, reducing computing and storage pressure in the cloud. Moreover, we analyze the energy consumption in the process of residual current and temperature data flow, and explore an effective energy‐saving mechanism for transmission. EFM‐IoT has been successfully applied in Chinese historical and cultural street—Pingjiang Road of Suzhou. Extensive evaluation and analysis results demonstrate that EFM‐IoT can effectively alleviate the data traffic and load in the cloud and reduce the response time of early warning.

Design of Remote Monitoring Iot System Based on 5G and New Optical Fiber Intelligent Structure

In recent years, with the progress and development of social science and technology, remote monitoring of Internet of Things systems has attracted more and more attention. The remote monitoring system is mainly a network system with convenient layout, simple maintenance, and high security performance built on the basis of the wireless network, which can realize real-time monitoring, and collects transmit information. It is mostly used in remote monitoring of room temperature, remote monitoring of intelligent furniture, engineering construction, and teaching. Communication technology dominates the operation of remote monitoring systems. With the introduction of 5G technology, mobile Internet technology has been pushed to the top of technology again. Using 5G mobile communication technology in the monitoring system, people can observe or operate the monitored things at any time. The sensor is an indispensable component of the remote monitoring system, and a new type of optical fiber is added to the sensor to make the system function more complete. However, the related technology is not very mature, and the research on remote monitoring system is relatively backward in China. Relevant studies have found that when the remaining energy of the information node in the remote monitoring system reaches 10%, the information node will die and the speed of information transmission will decrease. Therefore, adding new technologies is conducive to improving the performance of remote monitoring systems.

IoT-Based Microclimate and Vibration Monitoring of a Painted Canvas on a Wooden Support in the Monastero of Santa Caterina (Palermo, Italy)

The main objective of this work is the characterization and observation of the performance of an IoT measurement and monitoring system in the field of cultural heritage conservation for assessing the health condition of artworks. This article also describes the application of this system to the monitoring of a canvas painting applied on a wooden support, an artwork from the 19th century by the painter Giuseppe Patricolo depicting The Deposition, placed inside a niche in the Santa Caterina Monastery in Palermo (Italy). Considering the presence of the wooden structure, it is useful to measure not only microclimatic parameters such as temperature and humidity, but also vibrations that can in fact cause degradation phenomena in these artworks. This is a first step towards the development of mimetic systems integrated in the work of art without causing physical, mechanical or chemical alterations and ensuring that the level of microclimatic parameters is below the threshold values whose exceeding could compromise the entire artefact.

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials.

Design and Optimisation of an Enterprise Digital Management System Based on IoT Monitoring.

Modern enterprise management is developing rapidly, and one of the most important components of enterprise management is enterprise digital management. In this paper, the research background of enterprise digital management system is firstly elaborated, current situation of enterprise digital management work in enterprises is elaborated, then the current situation of the system research and development at home and abroad is also analysed and outlined in detail, and finally, according to the actual enterprise digital management situation of enterprises, combined with the system method of software development and corresponding technology, the new system design requirements of enterprises based on Internet of Things are proposed. Simulations show that the overall design and module design of the system in this paper are well managed, a system interface diagram can be given, and the database table structure and entity class diagram are applied to elaborate the database design.