A raspberry Pi controlled cloud based air and sound pollution monitoring system with temperature and humidity sensing

Saha, Arnab; Sircar, Sachet; Chatterjee, Priyasha; Dutta, Souvik; Mitra, Anwesha; Chatterjee, Ayan; Chattopadhyay, Soummyo Priyo; Saha, Himadri Nath

doi:10.1109/ccwc.2018.8301660

Cited by 50 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The major advantage of this work the multiclass SVM classifier, trained with the sampling data, identifies out the four types of coal and gas outburst states. The work is limited to optimizing kernel function and taking the dataset [3].…”

Section: Related Workmentioning

confidence: 99%

Coal Mine Disaster Prediction

Harshitha.¹,

Dixit²,

Krithi³

et al. 2020

IJERT

View full text Add to dashboard Cite

Coal may be an exceptionally imperative common asset to our nation. There are numerous perilous conditions like increment in temperature and mugginess, discharge of hurtful gasses. These conditions make an unsafe environment for specialists to work in and posture a hazard to their lives. Hence security of the specialist in a coal mine has ended up a genuine issue to be tended to. It is very troublesome to screen all environment conditions ceaselessly in a coal mine by human creatures. There can be a duty-bounded setup with the technique to feel the original atmosphere of the mine and determine whether it matches for a human being's presence. In the event that not, the framework ought to alarm the laborer around the threat. That way the framework should be able to help dodge the devastation. To serve this reason ready to combine IoT and Machine Learning Forecast procedures such as Ensemble Learning to ceaselessly take the test set from the coal mine environment and utilize history of conditions to foresee the threat is created.

show abstract

Section: Related Workmentioning

confidence: 99%

Coal Mine Disaster Prediction

Harshitha.¹,

Dixit²,

Krithi³

et al. 2020

IJERT

View full text Add to dashboard Cite

show abstract

“…MQ 135 has extensive detection capability in the range of 10 to 200 ppm of various gases such as alcohol, benzene, and CO 2 along with ammonia. The fast response with high sensitivity and selectivity aspects motivated for its use in clinical studies for the diagnosis of CKD [28]. The sensor works on the operating voltage of +5 V across a voltage divider circuit and LED as represented in figure 1.…”

Section: Development Of Portable Prototypementioning

confidence: 99%

Design and development of portable prototype for human breath analysis: a comparative study between haemodialysis patients and healthy subjects

Snekhalatha¹,

Nasimsha²,

Kumar³

et al. 2019

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

Certain diseases and clinical conditions alter the exhaled breath gas components. Ammonia was identified as a biomarker for chronic kidney disease (CKD) from the laboratory analytical techniques. Although these techniques were accurate, lack of portability, time consumption and affordablity for the masses were the primary concern for the medical fraternity. To overcome these issues, a portable prototype was developed for the analysis of breath samples from patients undergoing hemodialysis. The aim and objectives of the study was as follows: (i) to detect ammonia in human breath sample using the commercial gas sensor (MQ135); (ii) to acquire breath patterns using NI-myDAQ for preprocessing and extraction of ten transient and steady state features; (iii) To classify the normal and abnormal breath signal using different neural network classifiers (Support Vector Machines, Naïve Bayes, and Multi-layer perceptron). Twenty-one subjects undergoing hemodialysis and 17 healthy subjects were included in the study. The obtained breath patterns revelaed that voltage flag runs between 0.6-0.9 V for a healthy individual, and 1.8-2.65 V for CKD patients. The variations in magnitude voltage were high for CKD subjects compared to healthy subjects. Among the obtained transient and steady-state features, normalized voltage change (ΔV m ) showed a greater % difference between healthy and CKD patients undergoing haemodialysis. The multilayer perceptron achieved a better classification accuracy of 76.31% compared to SVM (60.52%) and naive bayes classifier (55.2%). Hence the developed prototype was simple in operation and cost effective, provides an affordable and act as complimentary diagnostic tool for CKD patients.

show abstract

“…Keil programming, Proteus software [7] NO, SO 2 , O 3 temperature humidity IOT based Raspberry Pi module [8] Noise, temperature, humidity. WSN technology is used to monitor content of hazardous gases [9] CO 2 , NO, SO 2 , PM, NH…”

Section: Technology Regarding Workmentioning

confidence: 99%

Optimised Environmental Data Acquitisation Technique for Monitoring Air Quality and Crop Plantation for Developing a Smart City using LoRa Network

Agrawal¹,

Kuntawar²

2019

IJRTE

View full text Add to dashboard Cite

Movements in low power and simplicity estimation and correspondence development have gotten a disturbed remote distinguishing and checking applications. Starting at now, there are many battling checks and advances trying to take a hold of WSN, especially the zone of remote identifying and correspondence development. LoRa Network is one of these progressions getting omnipresence in the utilization of Wireless Sensor Networks (WSNs). The limit of LoRa Network to develop correspondence interfaces over long detachments with by and large essential centers; irrelevant establishment, low power requirements and use of license free ISM gatherings give it a broad edge of its adversaries. Notwithstanding the way that a lot of research work has been done about the ampleness of LoRa Network for low power remote sensor frameworks, there are still openings in the expounding on the sensible pieces of structure and execution of such systems. This endeavor revolves around issue of realizing a constrained sensor arrange for a sharp air quality examination and yield domain system for a splendid city application using LoRa Network as the central correspondence development. A structure for checking air nature of the earth and yield bequest is executed using negligible exertion game plans available in the market. This task likewise has application in yield ranch. Soil dampness, temperature, mugginess of the dirt is noted so that if soil's water level goes down or ends up overabundance it will hurt the yields. So to keep up the water prerequisite sensors are set in soil and lora innovation is utilized for information transmission.

show abstract

A raspberry Pi controlled cloud based air and sound pollution monitoring system with temperature and humidity sensing

Cited by 50 publications

References 8 publications

Coal Mine Disaster Prediction

Coal Mine Disaster Prediction

Design and development of portable prototype for human breath analysis: a comparative study between haemodialysis patients and healthy subjects

Optimised Environmental Data Acquitisation Technique for Monitoring Air Quality and Crop Plantation for Developing a Smart City using LoRa Network

Contact Info

Product

Resources

About