본 연구에서는 정전류 회로와 전압 강하법을 이용한 접촉저항 측정 회로의 정밀도를 개선하는 방법을 제안하고, MQTT 브로커 서버를 통해 접촉저항 측정 시스템의 측정값을 모니터링할 수 있는 대시보드를 구현한다. 접촉저항 측정 시스템은 저항값을 측정하고 무선통신을 이용해 MQTT 브로커 서버로 측정값을 전달하고, 대시보드는 Node-RED와 ...Node-RED-Dashboard을 이용하여 최대 4개의 접촉저항 측정 시스템의 저항값을 받아 이를 사용자 화면에 출력하여 보여준다. 사용자는 하나의 대시보드를 이용해 복수의 측정 데이터를 관리할 수 있고, MQTT 브로커 서버를 통해 다른 장치와 쉽게 인터페이스 가능하게 한다. 실제 데이터 측정을 통해 정밀도 상대표준편차가 평균적으로 40.37%, 그리고 최대 64.73% 각각 감소하여 정밀도의 개선 효과가 있다.
In this study, we propose a method to improve the precision of contact resistance measurement circuits using constant current method and voltage drop method, and implement a dashboard that monitors the measured data of contact resistance measurement systems through MQTT broker server. The contact resistance measurement system measures the resistance value and transmits the measured value to the MQTT broker server using wireless communications. This developed dashboard uses Node-RED and Node-RED-Dashboard to receive the resistance values of up to four contact resistance measurement systems and show them to user’s monitor screen. Users can manage multiple measurement data using a single dashboard and easily interface with other devices through the MQTT broker server. Through the experimental results from real data measurements, the relative standard deviation about precision is improved to average 40.37% and maximum 64.73% respectively.
Manual inspection processes’ results are difficult to map into digital twins. Since they rely on the expertise of the inspector and lack support systems, the process and the accompanying manual ...documentation are error-prone and time-consuming. This paper addresses this deficit, presenting an IoT-based platform approach to enable digitized and assisted inspections. Requirements for this platform are derived from process analyses in the aircraft domain and are addressed with the help of ISO's IoT reference system architecture based on adaptable solution modules. The focus is on the cross-application data model and the documentation module, enabling the mapping of the inspection process as a digital twin.
Due to the memory limitation challenges of using low-cost computer interfacing hardware in long-term monitoring of signals, we present a flexible and easy-to-deploy wi-fi server-client platform. It ...allows using low-cost Raspberry Pi computers to interface hardware in the laboratory and use up-to-date software tools such as time-series database software. This facilitates long-term monitoring and data management in a local area network (LAN). RedStat consists of an installation script that helps configuring the LAN hostname and installs the open software tools required to interface and manage the data monitoring. Node-RED acts as the orchestrator of the software integration and RedStat supplies three different example programs to interface three open hardware projects: the microcontroller Arduino, the hardware incubator “OpenTCC” and the open-source potentiostat “DStat”. RedStat provides an infrastructure to develop similar programs interacting other types of serial communication devices, thus facilitating developing and increasing the impact of open-source hardware in continuous monitoring and condition-controlled experiments.
Smart meters are of the basic elements in the so-called Smart Grid. These devices, connected to the Internet, keep bidirectional communication with other devices in the Smart Grid structure to allow ...remote readings and maintenance. As any other device connected to a network, smart meters become vulnerable to attacks with different purposes, like stealing data or altering readings. Nowadays, it is becoming more and more popular to buy and plug-and-play smart meters, additionally to those installed by the energy providers, to directly monitor the energy consumption at home. This option inherently entails security risks that are under the responsibility of householders. In this paper, we focus on an open solution based on Smartpi 2.0 devices with two purposes. On the one hand, we propose a network configuration and different data flows to exchange data (energy readings) in the home. These flows are designed to support collaborative among the devices in order to prevent external attacks and attempts of corrupting the data. On the other hand, we check the vulnerability by performing two kind of attacks (denial of service and stealing and changing data by using a malware). We conclude that, as expected, these devices are vulnerable to these attacks, but we provide mechanisms to detect both of them and to solve, by applying cooperation techniques.
Virtual care is changing from the mere Face-to-Face Services, which includes telephone visits in addition to audio and video visits to include several non Face-to-Face Services, including E-visits, ...community of practice consultations and remote Patient Monitoring (RPM). Virtual care has the capacity to transform how people interact and collaborate with each other using the cyber–physical systems’ services. However, the use of cyber–physical systems (CPS) in healthcare is still in its infancy and there exist many challenges to be solved. The future of virtual care based on CPS will be require the availability of an ecosystem that leverages range of technologies to enable care to shift away from the legacy clinical setting when appropriate. In order to provide such open loop type of connectivity and interfacing, this article presents a solution VH_CPS ecosystem that push beyond the telehealth visit to create an ecosystem that integrates the care team collaboration with other essential virtual services such as remote monitoring and diagnostics as well as chronic care management services. Moreover, this article incorporate at VH_CPS ecosystem a component that enables the care team to assist in driving more in depth analytics based on qualitative techniques borrowed from the paradigm of thick data analytics. The Siamese Neural Network used in this paper is an example where care team members like a radiologist can feed few labelled CT-Scans to let the decision making component of the VH_CPS to learn the diagnosis of COVID cases. Our VH_CPS ecosystem uses a scalable Node-RED framework with the care team as well as to the remote patient monitoring devices. Our ecosystem will enable more patients to access the care they need, keep more patients in a low-risk care setting, and contribute to better outcomes at lower costs.
The following document presents the development of a humidity sensor for cocoa crops using IoT and Arduino. Its purpose is to showcase the various applications that new technologies can offer, ...particularly in the cocoa industry. It involves designing a humidity sensor node to measure changes in humidity and temperature using the electronic design tool Proteus. The measurement module is programmed in Arduino IDE and connected to the cloud via IoT, incorporating Node-RED as a means to remotely visualize real-time results. This is achieved through a presentation dashboard as the final output of the measurement process, collecting data on climate changes received by the transducer and comparing them with data obtained from the web over a specified period. This process verifies the sensor's efficiency and data accuracy, setting a precedent for future research in applied electronics, IoT, and telecommunications.
•Designing and implementing a fusion system based on fuzzy logic to enable informed decisions with minimal water and energy consumption.•Development and implementation of a Wireless Sensor Network ...(WSN) protocol to reduce installation and maintenance costs in greenhouses.•Creating a Multiview IoT-based interface using IBM Node-RED for remote monitoring and control of agricultural parameters.•Storing greenhouse environment data in a MySQL database for efficient control, monitoring, and historical analysis.
The rapid evolution of communication technology has spurred a revolution in many domains, which makes life more comfortable and convenient. In order to meet the surge in food demand due to the worldwide growing population, reduce farmers' efforts, and benefit from these technologies in agriculture, an intelligent platform based on IoT (Internet of Things) is proposed in this paper for monitoring and controlling greenhouse climate and irrigation. The system used a low-cost wireless sensors network (WSN) based on radio frequency (RF) communication for collecting and sending the greenhouse data (temperature, humidity, and soil moisture) to a processing unit based on Raspberry Pi. A fusion system based on fuzzy logic controller (FLC) was used to combine the collected data and to supply smart and optimal decisions to manage the internal climate and irrigation. The user can remotely monitor the greenhouse using a Human Machine Interface (HMI) developed under Node-RED server of IBM. In addition, the system allowed storing the environment data in a MySQL database to be exploited for control, monitoring, or history storage. The test results showed the effectiveness and success of the proposed platform.
This paper proposes a LoRa-based wireless communication system for data transfer in microgrids. The proposed system allows connection of multiple sensors to the LoRa transceivers, and enables data ...collection from various units within a microgrid. The proposed system focuses on communications at the secondary communication level of the microgrid between local controllers of each distributed generation (DG) unit and the microgrid central controller due to the possibility of applying low-bandwidth communication systems at this level. In a proof of concept test bed setup, the data collected by the sensors are sent to the LoRa gateway, which serves as the central monitoring system from which control messages are sent to various microgrid components through their local controllers such as DG units, storage systems and load. In this work, to improve communication security, a private server has been developed using Node-Red instead of cloud servers that are currently used in most Internet-of-Things (IoT) monitoring systems. A range test of the proposed system is carried out to observe the rate of data delivery. It demonstrated over 90% data delivery at 4 km. Finally, a test bed experiment is conducted to validate key features of the proposed system by achieving one-directional data transfer in a grid monitoring system.
PDF
