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This paper proposes a real-time method to carry out the monitoring of factory zone temperatures, humidity and air quality using smart phones. At the same time, the system detects possible flames, and analyzes and monitors electrical load. The monitoring also includes detecting the vibrations of operating machinery in the factory area. The research...
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The Internet of Things is one of the ideas that has become increasingly relevant in recent years. It involves connecting things to the Internet in order to retrieve information from them at any time and from anywhere. In the Internet of Things, sensor networks that exchange information wirelessly via Wi-Fi, Bluetooth, Zigbee or RF are common. In th...
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... Addressing these challenges requires a blend of innovation and technology. The work presented in this paper introduces an IoT-based solution tailored for factory area management and control [1]. ...
... Under room temperature conditions, it boosts an accuracy of 98.15% [5]. Such accuracy ensures that even minute changes in temperature and humidity are detected, allowing for timely fluctuations [1,3]. An LCD display is also employed for graphical representation of the temperature and humidity on-site. ...
Internet of Things (IoT) based systems are used for monitoring the status of inventory and components including variables such as temperature and humidity, in order to maintain their quality under ideal conditions. These IoT devices can also provide real-time monitoring of quality of components, identifying any defects and issuing alerts if quality criteria are not upheld throughout the manufacturing process.This study presents the development and implementation of an IoT-based Real-Time Temperature and Humidity Monitoring System specifically designed for Industrial Electrical Panel Rooms. In the backdrop of industrial automation advancements, there is a significant need for real-time monitoring systems to ensure efficiency and safety. The proposed system establishes the capabilities of the IoT to offer a network of interconnected devices that can communicate, share data, and provide real -time feedback. The system's methodology consists of three pivotal stages: data acquisition using the "DHT22" temperature sensor, data transmission through both wired and wireless means, and user alert mechanisms that trigger email notifications when predefined temperature thresholds are exceeded. The system was tested in an actual factory environment, demonstrating its potential to mitigate risks associated with humidity disturbances and overheating in electrical panel rooms. The research highlights the significance of IoT in enhancing industrial safety and operational efficiency.
... With the advent of the Internet of Things era, they are increasingly applied extensively, and they have gradually penetrated into all areas of human life and have attracted the attention of people in the industry. At the end Modern data acquisition is the processes of measuring real world physical conditions captured as analog waveforms and converted into digital numeric values that can be manipulated by a computer [5][6][13] [14][21] [22]. Multiple parameters are multiplexed and finally proceeding through a single channel to the computer to show the data. ...
p class="0abstract">the environmental data acquisition station is used to manage the public health and detection of a microclimate of a city for a broadcast processed high precision data for users. This research article is summarizing the applications of Electronics and GIS applications to health risks management due to air pollution, noise and microclimate change detection, to study the geography of urban health risks and environmental change in Casablanca, Morocco. acquisition of environmental and Climatological Data using sensor networks, results a new possibilities and advantages, of environmental data monitoring using electronic circuit with a broadcasting system via a technology with wireless transmitter. The main object of this research is to present a simple and rapid method to provide instant microclimate and environment data, which can be used to manage the public risks caused by pollution and environment changes. As the climate and environment conditions are variable from a place to place, it is difficult to get accurate climate and environment for a particular location in a city. With the advancement of technology, especially data acquisition systems, the problem of large set up area and cost has been reduced. The data acquisition station can be set up at any place and provide an accurate and instant climate and environment report to any citizen of the city. The report of the data acquisition system can be used by the users to choose the best place for them to live due to their diseases. In addition, these data can be collected in a GIS system to create a microclimate change and air pollution map of different zones in the city, predict the future climate, and air pollution of the city.</p
... An earlier approach to noise mapping proposed a smartphone based sensing [7]. In [8], a network of sensors connected over ZigBee and Wi-Fi protocol was implemented for real-time sensor data affiliation where all the processing has been done in the online cloud server for factory environment monitoring. In [9], proposed a very similar WSN model using the IoT architecture where they demonstrated using temperature and humidity sensors in the labs. ...
... Its based on ATmega328p chip which is an 8bit microcontroller. The 10bit ADC of Arduino is used for processing the analog sound data from the sensor where the input data from the microphone undergoes Sampling and processing by means of FFT (FHT) [7], [8]. After the signal has been processed it is sent via USART of the Arduino to the USART of the NodeMCU at a 2 second interval. ...
This paper describes the development of a system that enables real time data visualization via a webapp regarding sound intensity using multiple node devices connected through internet. The prototypes were realized using ATmega328 (Arduino Nano) and ESP8266 hardware modules, NodeMCU Arduino wrapper library, Google maps and firebase API along with JavaScript webapp. System architecture is such that multiple node devices will be installed in different locations of the target area. On each node device, an Arduino Nano interfaced with a Sound Sensor measures the ambient sound intensity and ESP8266 Wi-Fi module transmits the data to a database via web API. On the webapp, it plots all the real-time data from the devices over Google maps according to the locations of the node devices. The logged data that is collected can then be used to carry out researches regarding sound pollution in targeted areas.
... Humidity sensors have achieved increasing efficiency for applications in industrial processing, such as manufacturing highly sophisticated integrated circuits in the semiconductor industry, automobile industry, and many other industries in which moisture levels should be constantly controlled [1][2][3]. Humidity sensors also are used in the medical field [4], agriculture [5], and applications for intelligent control of the living environment in buildings [6,7]. Various transduction techniques, such as capacitive [8], resistive [9,10], optical fiber [11], field-effect transistor (FET) [12], and quartz crystal microbalance (QCM) [13], have been used to fabricate humidity sensors. ...
... When the MWCNT concentration increased from 25% to 90%, the linearity of their resistance curves held high value still and the slope finally approached to zero value, because the increase in MWCNT concentration caused the reduction of sensor response due to the very low resistance (approximately below 5 Ω). The resistance values of CS-MWCNT25 film as a function of RH according to the number of coatings (3)(4)(5)(6)(7)(8)(9)(10) were tested and are presented in Fig. 3B and Table 2. The increasing coating number of CS-MW CNT25, however, resulted in a reduction in the sensor response and curve slope. ...
... Response, sensitivity, and linearity of CS-MWCNT nanohybrid humidity sensors with different MWCNT concentrations (25-90%) and different coating numbers(3)(4)(5)(6). ...
Multi-walled carbon nanotubes (MWCNTs) were fabricated on a gold electrode to develop a resistance-sensing humidity sensor with low resistance. Core-shell-structured nanohybrids were prepared using Chitosan-MWCNT to obtain good hydrophilicity, resulting in a highly responsive humidity sensor. We also measured resistance, which changes due to hydrogen bonding between the amine group of chitosan and H2O. The structure of the fabricated chitosan-MWCNT core–shell-structured nanohybrid was measured. Furthermore, we determined the highest response and linearity of the CS-MWCNT25 nanohybrids based on the number of coats on the electrode and the composition ratio of chitosan and MWCNTs. The fabricated CS-MWCNT25 nanohybrid humidity sensor exhibited good electrical efficiency without voltage or frequency dependence and a low-temperature dependency with a temperature coefficient (RH/°C) of 0.187%. Finally, a fast recovery time of 40 s between 30% and 100% RH, a maximum humidity hysteresis of less than 0.300 ± 0.001%, and long-term stability for 2 months indicated that this is an excellent humidity sensor.
... Semiconductor gas sensors are promising for indoor and outdoor air monitoring because of their extremely high sensitivity, stability and miniaturization capability. The combination of gas sensors with information networks (including portable devices and mobile phones [2]) allows reporting a leakage and/or exceeding the maximum allowable concentration of hazardous gases upon short-or long-term exposures. However, the operating temperatures necessary for detection of the gases listed above are quite high: 250-350 • C (CO), 150-200 • C (NO 2 ), 300-350 • C (SO 2 ), 200-300 • C (O 3 ) [3][4][5]. ...
In this work, the hybrids based on nanocrystalline SnO2 or In2O3 semiconductor matrixes and heterocyclic Ru(II) complex are studied as materials for gas sensors operating at room temperature under photoactivation with visible light. Nanocrystalline semiconductor oxides are obtained by chemical precipitation with subsequent thermal annealing and characterized by XRD, SEM and single-point BET methods. The heterocyclic Ru(II) complex is synthesized for the first time and investigated by 1H NMR, 13C NMR APT, MALDI-MS analysis, and UV-Vis spectroscopy. The HOMO and LUMO energies of the Ru(II) complex are calculated from cyclic voltammetry data. The hybrid materials are characterized by TGA-MS analysis and EDX mapping. The optical properties of hybrids are studied by UV-Vis spectroscopy in the diffuse reflection mode. The investigation of spectral dependencies of photoconductivity of hybrid samples demonstrates that the role of organic dye consists in shifting the photosensitivity range towards longer wavelengths. Sensor measurements demonstrate that hybrid materials are able to detect NO2 in the concentration range of 0.25–2 ppm without the use of thermal heating under periodic illumination with even low-energy long-wavelength (red) light.
... Kornuta et al. (2013) developed a microcontroller for time-varying waveforms on a peristaltic pump using an Arduino board, and they reported that this board was an inexpensive and flexible platform for creating controllers. Arduino boards have also been utilized in devices developed for factory environmental monitoring (Lian et al., 2013) and outdoor meteorological measurements (Hirafuji et al., 2013). Arduino boards are primarily used to reduce costs of the developed devices, and using these boards could possibly decrease the cost of producing UECS nodes. ...
A program library for use on open-source hardware was developed in order to construct a low-cost environmental control system for greenhouses. The library facilitated the development of environmental sensing and control devices that conform to the protocols of the Ubiquitous Environment Control System (UECS). The open-source hardware used was the "Arduino Ethernet" and the "Arduino Mega 2560 with Ethernet Shield" microcontroller boards. UECS is a system for controlling greenhouse environments that communicates information via a local area network, and devices utilizing the library that we developed can perform the UECS defined communication tasks automatically. With the help of this library, device developers no longer need to program the communications aspects of the device and can concentrate on programming setting and control logic of the device. The library occupies about 29 kilobytes of the read only memory area of the target board. The library and associated open-source microcontroller boards are powerful tools for developing low-cost environmental control systems.
... A broad range of wireless communication interfaces (Koudelka et al. (2014)) opens up today to be utilized by such a systems benefiting from a low energy efficient transmission on the side of embedded monitoring systems whilst the main energy load is on the side of the data acquisition device (Lian et al. (2013)). Near Field Connection (NFC) appears to be a suitable communication interface for em-This work was supported by the project SP2016/162, "Development of algorithms and systems for control, measurement and safety applications II" of Student Grant System, VSB-TU Ostrava. ...
Standalone embedded monitoring devices are powered utilizing alternative sources of energy to be fully independent on the power grid. To be capable of the long horizon operation such a device need to satisfy energetic neutrality conditions. This article introduces a power energy independent measurement embedded monitoring system concept using NFC communication, profiting from a low energy efficient transmission on the side of the embedded device. The concept comprises NFC interface with a proposal of communication protocol design utilizing a non-volatile EEPROM. The measurement system is based on Kinetis FRDM-KL25Z Freedom development platform. The testing has proved that the NFC communication interface is not eligible only for configuration data recording and the wireless diagnostics. The merge between the NFC interface and EEPROM technology is suitable also for a limited measured data transfer.
... Greenhouse technology has improved a lot, and cost of electronic components associated with it are constantly decreasing. The rise of open-source electronics and software platforms like Arduino, Raspberry Pi etc. are contributing a lot in making hardcore electronics and programming easy and accessible [1][2][3][4] ...
Automation of greenhouses has proved to be extremely helpful in maximizing crop yields and minimizing labor costs. The optimum conditions for cultivating plants are regularly maintained by the use of programmed sensors and actuators with constant monitoring of the system. In this paper, we have designed a prototype of a smart greenhouse using Arduino microcontroller, simple yet improved in feedbacks and algorithms. Only three important microclimatic parameters namely moisture level, temperature and light are taken into consideration for the design of the system. Signals acquired from the sensors are first isolated and filtered to reduce noise before it is processed by Arduino. With the help of LabVIEW program, Time domain analysis and Fast Fourier Transform (FFT) of the acquired signals are done to analyze the waveform. Especially, for smoothing the outlying data digitally, Moving average algorithm is designed. With the implement of this algorithm, variations in the sensed data which could occur from rapidly changing environment or imprecise sensors, could be largely smoothed and stable output could be created. Also, actuators are controlled with constant feedbacks to ensure desired conditions are always met. Lastly, data is constantly acquired by the use of Data Acquisition Hardware and can be viewed through PC or Smart devices for monitoring purposes.
... However, the method employed here is sufficiently economical, sustainable, and efficient for most purposes, particularly for public health and environmental monitoring. Nonetheless, future studies should develop approaches to adjust various factors by incorporating other smartphone sensor data, such as using a gravity acceleration sensor and an air pressure sensor [22][23][24]. ...
In this study, we attempted to assess the feasibility of collecting population health data via mobile devices. Specifically, we constructed noise maps based on sound information monitored by individuals' smartphones. We designed a sustainable way of creating noise maps that can overcome the shortcomings of existing station-based noise-monitoring systems. Three hundred and nine Seoul residents aged 20-49 years who used Android-based smartphones were recruited, and the subjects installed a special application that we developed for this study. This application collected information on sound and geographical location every 10 min for 7 days. Using GIS, we were able to construct various types of noise maps of Seoul (e.g., daytime/nighttime and weekdays/weekends) using the information on sound and geographical location obtained via the users' smartphones. Despite the public health importance of noise management, a number of countries and cities lack a sustainable system to monitor noise. This pilot study showed the possibility of using the smartphones of citizen scientists as an economical and sustainable way of monitoring noise, particularly in an urban context in developing countries.
... [85] Next, an automatic railway track warning system based on distributed personal mobile terminals was designed to localise the workers within the work site, alert them about approaching trains and, in case of emergency, guide them to a safe area. [86] Other IoT-based SNSs were developed for real-time monitoring of such parameters as temperature, humidity, air quality, vibrations of operating machinery, electrical overload and detection of flames in the plant, [87] and for combined monitoring of workers' location and their exposure to such indoor air pollutants as formaldehyde and CO 2 . [88] Yet another field of SNS applications is the monitoring of safety and work processes in human-robot collaborative stands where traditional technologies, e.g., light curtains and pressure-sensitive safety mats, detecting a worker's presence in the operation zone of a robot can be applied. ...
Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous attempts to apply ICT solutions in the occupational safety and health (OSH) area. A literature review reveals a wide range of examples of smart materials, smart personal protective equipment and other AmI applications that have been developed to improve workers’ safety and health. As the use of these solutions modifies work methods, increases complexity of production processes, and introduces high dynamism into thus created smart working environment (SWE), a new conceptual framework for dynamic OSH management in SWE is called for.
A proposed framework is based on a new paradigm of OSH risk management that consist in real-time risk assessment, and the capacity to monitor risk level of each worker individually. A rationale for context-based reasoning in SWE, and a respective model of the SWE-dedicated CPS are also proposed.
