Real-time Environment Monitoring System Research Articles

An IoT Based Real-Time Environmental Monitoring System for Developing Areas

Rapid urbanization and industrialization have raised concerns about environmental quality and sustainability in recent years. The Internet of Things (IoT) has played an important role in monitoring physical phenomena by generating data that can be sent and preserved in the cloud. This work explores an IoT-based environmental monitoring system's potential, using an Arduino-based device for real-time tracking of environmental parameters including sound levels, humidity, dust concentration, total volatile organic compounds (TVOC), carbon dioxide (CO2), and carbon monoxide (CO). Real-time data are collected from various semi-residential and marketplace locations named in Pach raster More, Tomaltola, DowamoyiMore, Fojdarimore, and station road in Jamalpur district of Mymensingh Division, Bangladesh on non-holiday days, providing a representative snapshot of typical environmental conditions. The collected data is stored in a cloud server named firebase database. The implemented monitoring system offers several key features including accuracy and reliability, real-time monitoring data analytics alerts and notifications historical data as well as it can lead to various benefits and impacts of Improved Air and Water Quality Healthier Urban Environment (IAWUE) to enable local authorities and individuals to make educated decisions for a healthier and more sustainable urban environment. Graphical representations of the data revealed distinct patterns and trends, offering valuable insights into air quality variations across different areas. Interestingly, the results showed sound levels slightly below the standard range, indicating a relative control of noise pollution in the sampled areas. The findings of the work will serve as a vital resource for further research and guide policy-making for environmental improvement and sustainable practices in urban settings.

Learning and engagement with an online laboratory for environmental monitoring education

ABSTRACT In this study, we investigated students’ learning outcomes and engagement with an online laboratory called Online Watershed Learning System (OWLS) employed within a classroom and explored the relationship between learning outcome and engagement. The OWLS is the web interface for a real-time environmental monitoring system and integrates a user-tracking system to track students’ interactions. We conducted a pre-experimental quantitative research study in a third-year Civil and Environmental Engineering course. We assessed students’ performance and perception of their learning, behavioural engagement, and their perception of engagement attributes in the context of environmental monitoring. Examples of key findings include: OWLS is effective in helping attain learning outcomes related to environmental monitoring, the order of assessment questions can impact students’ performance but not their engagement, and students’ performance is inversely related to the number of clicks they used to complete an OWLS-based task. The study informs the effective design of online laboratories and leverages online laboratories-based education.

Design of tobacco storage environment monitoring system based on Lora technology

Lora (Long Range) wireless communication technology is unique in IoT communication solutions with its advantages of low power consumption and wide coverage. In the process of cigarette production, the storage environment during storage will affect the quality of tobacco leaves, and the tobacco leaves themselves will cause greater attenuation during signal transmission. By analyzing the storage environment of tobacco leaves, this paper proposes a wireless real-time environmental monitoring system based on Lora communication technology, including data collection nodes, Lora gateways, etc., and introduces their functions in detail. Finally, the feasibility is verified by testing.

Research on Application of Edge Computing in Real-time Environmental Monitoring System

In order to solve the problem of insufficient data processing ability and high delay of cloud computing in environmental monitoring system, combined with edge computing technology, this paper designs an environmental monitoring system which can process data in real time. The system uses the Baetyl edge computing frame to build an edge node on Raspberry Pi, the monitoring node collects environmental data such as temperature and humidity and sends the data to the edge node. The edge node will upload the monitoring data to Baidu Intelligent Cloud Platform after processing. The test results show that edge computing has obvious advantages in the application of environmental monitoring.

Debris-flow hazard assessment at the archaeological UNESCO world heritage site of Villa Romana del Casale (Sicily, Italy)

Archaeological sites are extremely vulnerable to the impacts of weather-related events, which may lead to irreparable damages to cultural heritage. Here an assessment of the debris-flow hazard for the UNESCO site of Roman Villa del Casale (Italy) is carried out, through a combination of historical analyses, field surveys, geomorphological and hydrological investigations and two-dimensional hydraulic numerical modelling, all performed at river catchment scale. Historical analyses reveal that the site has been hit by several landslides in the far and recent past. This is presently confirmed by the high level of exposure to the impact of rain-triggered debris-flow events, due to the position of the Villa at a closure section of the related river basin and to the hydro-geomorphological characteristics of the basin itself. By applying the proposed approach, a scenario analysis is carried out. Results allow one to highlight the dynamics of the impact of debris flows, thanks to space and time-dependent maps about deposition areas, water depth and speed values, and to identify the most vulnerable archaeological elements within the study site. The numerical simulations are also used to test the efficiency of the existing hydraulic defense systems and to support the implementation of an early warning system for the site protection. Here, we also synthetize the design of the architecture of the wireless monitoring network, the sensor technology adopted to develop an effective real time environmental monitoring system and management platform, to construct a Wireless Sensor Network (WSN) - early warning and reporting system, which can be applied as a prevention measure.

Smart Environmental Health Monitoring System

Pollution is a growing issue these days. It is necessary to analyze environment & keep it in check for a for best future as well as healthy living for all. Here we propose an Environment Monitoring System that permit us to watch & check live environment in especially areas through Internet of Things (IOT). IoT supported a real-time environmental monitoring system. It plays a crucial role in today’s world through a huge and pro-tract-ed system of sensor networks concerned to the environment & its parameters. This technique deals with monitoring important environmental conditions like temperature, humidity & CO level using the sensor & then this data is shipped to the web page. This information is often access from anyplace over the internet & then the sensor information is presented as graphical statistics during mobile application. This paper explains & present the implementation & outcome of this environmental system uses the sensors for temperature, humidity, air quality & different environmental parameters of the surrounding space. This data is often used to take remote actions to regulate the conditions. Information is pushed to the distributed storage & android app get to the cloud & present the effect to the end users. The system employs a Node MCU, DHT-11 sensor, MQl35 sensor, which transmits data to WEBPAGE. An Android application is made which accesses the cloud data and displays results to the end users. The sensors interact with microcontroller which processes this information & transmit it over internet. This system is best method for any use in monitoring the environment and handling it because everything is controlled automatically through all the time of the process. The results say everything about the application of this system across different field where it was controlled precisely and effectively which further explains that this system easily makes our work easier because of this automatic monitoring system worries about other unexpected climate issues for world.

A study on Real Time Environmental Monitoring System

A study on Real Time Environmental Monitoring System

Prototype of city environmental monitoring system based on geoportal technologies

The development of a real-time environmental monitoring system based on the integration of data from various sources is considered. To create this system, a geoportal technology platform is used to collect, process and present data from various observations. During the implementation of the development, the data transmission from a number of sources with information on air pollution and meteorological data was configured. The system operates in pilot operation mode in Krasnoyarsk. The generated spatial database contains the specified information on all available measurement points for the last few years. Geoportal map services and web applications provide interactive visualization of data in the form of tables, graphs and thematic maps in standard web browser. Source data can also be loaded for analysis in spreadsheet software such as Microsoft Excel or displayed in GIS packages through standard Open Geospatial Consortium map services.

Characteristic wavelength selection of volatile organic compounds infrared spectra based on improved interval partial least squares

As important components of air pollutant, volatile organic compounds (VOCs) can cause great harm to environment and human body. The concentration change of VOCs should be focused on in real-time environment monitoring system. In order to solve the problem of wavelength redundancy in full spectrum partial least squares (PLS) modeling for VOCs concentration analysis, a new method based on improved interval PLS (iPLS) integrated with Monte-Carlo sampling, called iPLS-MC method, was proposed to select optimal characteristic wavelengths of VOCs spectra. This method uses iPLS modeling to preselect the characteristic wavebands of the spectra and generates random wavelength combinations from the selected wavebands by Monte-Carlo sampling. The wavelength combination with the best prediction result in regression model is selected as the characteristic wavelengths of the spectrum. Different wavelength selection methods were built, respectively, on Fourier transform infrared (FTIR) spectra of ethylene and ethanol gas at different concentrations obtained in the laboratory. When the interval number of iPLS model is set to 30 and the Monte-Carlo sampling runs 1000 times, the characteristic wavelengths selected by iPLS-MC method can reduce from 8916 to 10, which occupies only 0.22% of the full spectrum wavelengths. While the RMSECV and correlation coefficient (Rc) for ethylene are 0.2977 and 0.9999[Formula: see text]ppm, and those for ethanol gas are 0.2977 ppm and 0.9999. The experimental results show that the iPLS-MC method can select the optimal characteristic wavelengths of VOCs FTIR spectra stably and effectively, and the prediction performance of the regression model can be significantly improved and simplified by using characteristic wavelengths.

An IoT Based Real-Time Environmental Monitoring System Using Arduino and Cloud Service

An IoT Based Real-Time Environmental Monitoring System Using Arduino and Cloud Service

An IoT Based Real-Time Environmental Monitoring System Using Arduino and Cloud Service

Internet of Things (IoT) is expected to play a major role in our lives through pervasive systems of sensor networks encompassing our environment. These systems are designed to monitor vital physical phenomena generating data which can be transmitted and saved at cloud from where this information can be accessed through applications and further actions can be taken. This paper presents the implementation and results of an environmental monitoring system which employs sensors for temperature and humidity of the surrounding area. This data can be used to trigger short term actions such as remotely controlling heating or cooling devices or long term statistics. The sensed data is uploaded to cloud storage and an Android application accesses the cloud and presents the results to the end users. The system employs Arduino UNO board, DHT11 sensor, ESP8266 Wi-Fi module, which transmits data to open IoT API service ThingSpeak where it is analyzed and stored. An Android application is developed which accesses the cloud and displays results for end users via REST API Web service. The experimental results show the usefulness of the system.

Development of real time environment monitoring system using with MSP430

This paper specifies about the monitoring environmental parameters regularly to forecast the weather prediction. Nowadays, Weather prediction plays a vital role for citizens living in the coastal areas. Mostly the parameters of the weather prediction vary to different fields and areas which hep the agricultures and travelers. This application makes the system more reliable, accurate, and flexible and dynamically varies the parameters of environment. We mainly consider the two factors; one is to acquire the parameter value accurately and second is to monitor continuously acting with reliability. The Environmental parameters considered in this paper are temperature and humidity, atmospheric pressure and light intensity. The MSP430 Micro controller observes the parameters by which the threats can be easily identified by the users and get alerted from the situations.

Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.

Design and Application of Wireless Sensor Network Monitoring Software Based on LABVIEW

Wireless multi-point real-time environmental monitoring system based on LabVIEW is composed of three parts: wireless environment information collection node, communication gateway, and host computer monitoring system. The purpose of this study is to explore the application of wireless monitoring technology in industry. Since that it is at the stage of research feasibility, various sensors used for the applications select the level limited to the ordinary teaching using sensor. AGV uses vehicle manipulator developed by Wuhan Depushi Technology Company and some sensors are simulated. The results of simple basic experiments showed that the wireless module can achieve point to multipoint communication. It is concluded that the monitoring interface can simultaneously process the data of a simulated pipeline terminal node with a simulated AGV data and make them work in a closed loop state.

IoT Empowered Real Time Environment Monitoring System

The Internet of Things (IoT) is a computing concept that describes a future where every day physical objects will be connected to the Internet and be able to identify themselves to other devices. In the future, every device is more likely to be connected to the web directly with the users expecting it to be responsive to their needs.[1] In this project, three modules are created which is used to monitor various environmental parameters and update it real time data to a server. The parameters measured include ambient temperature and humidity of the room, noise levels, the number of people entering and leaving the room and toxic gas detector. In case a flammable gas is detected, an alarm is triggered and an email is sent to the user’s account. Arduino is used to integrate and program the hardware components with ESP8266 being the WiFi component which connects to the host webpage. The server side is created on an IoT platform, Ubidots.

U-EMS : 센서네트워크 기반의 가축매몰지 악취환경정보 실시간 모니터링 시스템 설계 및 구현

최근 구제역과 같은 가축질병으로 인한 살 처분된 가축매몰지의 적절한 모니터링 시스템의 필요성이 대두되고 있다. 그러나 현재 사용되는 모니터링 시스템은 살 처분된 매몰지 현장에서의 시료를 채취한 후 1~2주간의 모니터링 기간을 필요로 함으로 실시간 감시가 필요로 하는 매몰지에 대한 연속측정이 불가능하다. 이에 본 논문에서는 이런 실시간 모니터링을 가능하게 하는 우선 센서네트워크 기반의 가축매몰지 환경정보 모니터링 시스템 설계 및 구현을 제안한다. 제안된 시스템의 무선 센서노드는 환경센서(Dust, Co2, NH3, H2s, Temperature, Humidity)와 위치확인을 위한 GPS센서로 구성된다. 제안된 시스템은 게이트웨이를 통해 원격지 서버에 전송된 매몰지 환경정보를 분석함으로 언제 어디에서나 유해환경 모니터링이 기능하고 위치확인을 통한 상황에 따른 능동적인 대응을 가능케한다. 따라서 제안된 시스템의 유효성 검증을 위해 규정된 가스 배출관에 센서를 설치하였고, 통합 모니터링이 가능한 테스트 베드에서 실시간으로 수신된 데이터를 수집, 분석하여 시간의 변화에 따른 매몰지 위치의 악취환경변화를 모니터링 하였다. 이를 통한 상황에 따른 실시간 대응을 함으로 유사시 환경오염의 사전예방이 가능 한 것을 확인할 수 있었다. Recent outbreak of cattle diseases such as foot-and-mouth disease(FMD) requires constant monitoring of burial sites of mass cull of cattles. However, current monitoring system takes environmental samples from burial sites with period of between one and two weeks, which makes it impossible for non-stop management of hazardous bio-waste. Therefore, in this study, we suggest an improved real-time environmental monitoring system for such bio-hazardous sites based on wireless sensor networks, which makes constant surveillance of the FMD burial sites possible. The system consists mainly several wireless environmental monitoring sensors(i.e dust, Co2, VOC, NH3, H2S, temperature, humidity) nodes and GPS location tracking nodes. Through analysis of the relayed of the environmental monitoring data via gateway, the system makes it possible for constant monitoring and quick response for emergency situation of the burial sites. In order to test the effectiveness of the system, we have installed a set of sensor to gas outlets of the burial sites, then collected and analyzed measured bio-sensing data. We have conducted simulated emergency test runs and was able to detect and monitor the foul smell constantly. With our study, we confirm that the preventive measures and quick response of bio environmental accident are possible with the help of a real-time environmental monitoring system.