scholarly journals IoT-Based Air Quality and Sound Intensity Monitoring System using Raspberry Pi

In day to day life, the increase in Air and Sound pollution has become a distressing problem. It has now become a vital issue that is to be considered. To overcome this problem, an IoT based system to monitor the pollution levels constantly has been proposed. Nowadays Internet of things (IoT) is one of the most widely used and researched technology to monitor the environmental changes. It gives an innovative approach where various devices can be connected together with the use of the internet. By interconnecting different objects located at different locations, we can collectively analyze the data at a single place. This feature is useful in data analytics. Raspberry Pi mini-computer is used to collect different data from different sensors and this data is monitored. In our proposed system we are using four different modules namely Air Quality Monitoring System, Sound Intensity Monitoring System, Cloud based Monitoring System, Notification system. These modules are integrated together to monitor the environmental changes. This system can be implemented in remote areas where the bulky equipment cannot be placed. Industrial areas where the pollution levels are high can be constantly monitored and precautionary measures can be implemented if the pollution is more.

2020 ◽  
Author(s):  
Sheng Ye ◽  
Mark Wenig

<p>Air pollution has been gaining increasing global attention. The public is concerned about urban pollution levels including both in- and outdoor air quality. A handheld Air Quality Inspection Box (Airquix) was developed in order to monitor air pollutants in real-time, and determine individual exposure to different pollutants in different environments. The Airquix is equipped with air quality sensors: electrical chemical NO<sub>2</sub>, O<sub>3</sub>, NO sensors, NDIR CO<sub>2</sub> sensor, OPC-N3 PM sensor; environment sensor (T, RH, P), GPS sensor and a raspberry pi for data logging, processing and display. To achieve a relatively high accuracy, e.g. +/- 5ppb at 5 seconds time resolution for the NO<sub>2</sub> concentration, the pre- and post- calibration for the Airquix were performed by comparison with high-end air monitoring instruments. In this study, several Airquixes were distributed to different persons to assess individual exposure. The daily activities were distinguished by different commutes, in- and outdoor behaviors, the personal habits and potential episodes. The resulting data set can be used for the assessment of health impacts.</p>


2021 ◽  
Vol 33 (3) ◽  
pp. 457-465
Author(s):  
Hiroyuki Ai ◽  
Shinya Takahashi ◽  
◽  

A typical honeybee colony contains more than 15,000 individuals, each with its own task related to supporting the hive and maintaining the colony. In previous studies on honeybees, observing individual animals’ behaviors has been a difficult and time-consuming task to understand the relationship between in-hive communication and environmental changes outside the hive, therefore it is necessary in any attempt to develop applying a remote sensing technology. To allow researchers to pass much of this tracking work on to computers, we have developed the lifelog monitoring system for honeybees, which uses RFID and Raspberry Pi camera recordings. Our preliminary experiments consisted of several tests aimed at identifying the optimal conditions for this system. First, two commercial RFID readers with antennas were compared in terms of their sensitivity to signals from RFID tags placed at various distances. We found that the UP16-1000-J2 reader was much more sensitive and had a longer effective range compared to the UP4-200-J2. The most sensitive region in the RFID antenna on the UP16-1000-J2 reader was 30 mm long and 5 mm wide at its center. Based on this preliminary information, we designed and built a passage from the interior of the observation hive to the outside so that all RFID-tagged bees could be detected individually by the RFID reader as they walked through the passage. Moreover, to detect the direction of either departure or arrival of each bee, we placed two RFID antennas under the passage between the observation hive and the outside, one near each end of the passage. All departure and arrival times of RFID-tagged bees were detected with their ID numbers. Using recorded data from these two RFID readers, we could measure how much time each tagged bee spent outside the hive. In addition to RFID recording on the passage, we also tracked all in-hive movements of numbered RFID-tagged honeybees. In-hive movements were simultaneously, comprehensively and automatically recorded via six Raspberry Pi camera modules arranged on the two sides of the observation hive. The cameras were set to record from 6:30 to 19:30 every day for one month, once or twice each year from 2015 to 2018. The in-hive behaviors of these bees were analyzed according to a simultaneous tracking algorithm that we developed for this purpose. Data from the monitoring system revealed that time spent outside the hive increased markedly after following the waggle dance. In addition to its findings on bee behavior, this study also confirms the effectiveness of our recording system combining RFID and Raspberry Pi cameras for honeybee lifelog monitoring.


Author(s):  
Indranil Banerjee ◽  
Rajarshee Naskar ◽  
Kamelia Deb ◽  
Debanjan Saha ◽  
Sanchari Bhattacharjee ◽  
...  

Author(s):  
Abdulrahman Abdullah Alkandari ◽  
Samer Moein

<span lang="EN-US">Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.</span>


2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.


Author(s):  
I. V. May ◽  
A. A. Kokoulina ◽  
S. Yu. Balashov

Introduction. The city of Chita of Zabaikalsky region is one of the cities of Russia, priority on level of pollution of atmosphere. Of the order of 130 impurities emitted by the sources of the city, 12 are monitored at 5 posts of the Roshydromet network. Maximum monthly average concentrations are formed by benz (a) pyrene (up to 56.8 MPC), hydrogen sulfide (12.3 MPC), suspended particles (up to 4PDC), phenol (up to 3.6 MPC). Significant emissions (59.73 thousand tons in 2018) are aggravated by the use of coal as a fuel by heat and power enterprises and the private sector, climatic and geographical features. Within the framework of the Federal project “Clean Air” of the national project “Ecology”, it is envisaged to reduce the gross emission of pollutants into the atmosphere of Chita by 8.75 thousand tons by 2024, which should lead to a significant improvement in the safety and quality of life of citizens. It is necessary to identify the most “risky “components of pollution for health.It is important to understand: whether the environmental monitoring system reflects the real picture of the dangers posed by pollution of the city’s atmosphere; whether there is a need to optimize the monitoring system for the subsequent assessment of the effectiveness and efficiency of measures; what impurities and at what points should be monitored in the interests of the population, administration and economic entities implementing air protection measures.The aim of the study is to develop recommendations for optimizing the program of environmental monitoring of air quality in the city of Chita, taking into account the criteria of danger to public health for the subsequent evaluation of the effectiveness and effectiveness of the Federal project “Clean Air”.Materials and methods. Justification of optimization of monitoring programs was carried out through the calculation of hazard indices, considering: the mass of emissions and toxicological characteristics of each chemical; the population under the influence. A vector map of the city with a layer “population density” was used as a topographic base. The indices were calculated for regular grid cells covering the residential area. For each cell, the repeatability of winds of 8 points from the priority enterprises and the population within the calculated cell were taken into account. As a result, each calculation cell was characterized by a total coefficient, taking into account the danger of potential impacts of emissions. Based on the results of the assessments, recommendations were formulated to optimize the placement of posts in the city and the formation of monitoring programs.Results. Indices of carcinogenic danger to the health of the population of Chita ranged from 584,805. 96 to 0.03 (priorities: carbon (soot), benzene, benz (a) pyrene); indices of non-carcinogenic danger — from 1,443,558. 24 to 0.00 (priorities: sulfur dioxide, inorganic dust containing 70–20% SiO2, fuel oil ash). The greatest danger to public health stationary sources of emissions form in the North-Western, Western and South-Eastern parts of the city. Roshydromet posts in these zones are absent.Conclusions. As part of the objectives of the project “Clean Air”, it is recommended to Supplement the existing state network of observations of atmospheric air quality in Chita with two posts; to include manganese, xylene, vanadium pentoxide in the monitoring programs, to carry out the determination of Benz(a)pyrene et all posts, which will allow to fully and adequately assess the danger of emissions of economic entities, as well as the effectiveness and efficiency of the provided air protection measures.


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