Claims:WE CLAIM:
1) A noise monitoring system based on Internet of things (IOT) comprising of;
a. GSM module for sending data to the cloud server;
b. Detecting carbon monoxide concentration in air with the help of sensor;
c. Reading it as a output in the analog form using a microcontroller;
d. using RFID reader and tags to identify the EPC number at a distance, without line sight scanning or involving physical contact and can perform initial filtering on data from the readers;
e. sensing by the sensors followed by displaying on Display screen; and
f. sending all the data to the database of the website.
2) The system as claimed in claim 1, wherein the said noise level of the car is also be displayed on display screen.
3) The system as claimed in claim 1, wherein the said Microcontroller initialize all sensors and convert the analog data.
4) The system as claimed in claim 1, wherein the said All information sensed by the sensor is stored in a cloud server and use GSM module to send the data.
5) The system as claimed in claim 1, wherein the said RFID tag assigned to each car with RFID reader detect the vehicle and RFID reader is fixed at each traffic signal pole.
6) The system as claimed in claim 1, wherein the said system uses the LED and Display Screen at the backside of the car.
, Description:FIELD OF THE INVENTION:
The present invention relates to a noise monitoring system. The present invention more particularly relates to a noise monitoring system based on Internet of things (IOT).
BACKGROUND OF THE INVENTION:
Environmental noise, is de?ned as unwanted or harmful outdoor sound created by human activities, and can be generated by traf?c, industry, construction, and recreation activities. Airports, (wind) power plants, rock-crushing, shooting ranges, and motorsport tracks are examples of noise sources for which sound propagation over several kilometers is relevant. One challenge in environmental noise monitoring is how to make suf?ciently comprehensive measurements both in time domain and spatially. The changes in weather conditions have a signi?cant effect on monitored noise levels and in order to obtain most of the variations the noise has to be monitored for extended periods of time. Also, a single point noise measurement is rarely representative for a whole neighbourhood and several sensor locations are needed. Because of high costs of the equipment and the amount of human resources needed, the reliability, validity, and representativeness of environmental data is usually unsatisfactory. Only a few reported scienti?c experiments with uninterrupted noise data captured from each relevant location over long periods of time exist. The typical need for measurements is to monitor the noise caused by a noise source (e.g. an airport or an industrial plant) in
a residential area. However, also other noise sources exist and the captured noise level is usually a result of a combination of the target and interfering sound sources: wind-generated, cars, and birds being examples. Sound level meters used for noise mon-itoring either capture sound levels or time domain noise data and store the data locally – or nowadays more often – on a remote server. The most common method to ensure the noise was caused by the original source is listening through all the samples afterwards. This requires a huge amount of resources because of a large amount of data due to often necessary long-term measurements. Also, if only noise levels are recorded, validation by listening is not possible.
The noise from vehicles such as cars, buses and trucks is wide spread with many people being affected by these noise sources in their daily lives. Motor Sport noise is a often a source of enjoyment for those taking part and for spectators. The impact of motorsport activities on the surrounding environment is also of major concern to many people who live near to venues as well as to those operating the circuits, tracks and venues.
Excessive noise from vehicles, including lorries, cars and motorbikes can cause a public nuisance and therefore in many countries, these vehicles are tested annually to make sure they meet national and international standards for noise emissions.
Increasing number of automobiles is a serious problem that has been around for a very long time. The main source of air pollution and noise pollution is transportation. Transport is the fastest growing source of fossil-fuel CO2 emissions, the largest contributor to climate change. Gases Emitted by vehicles are Carbon monoxide, nitrogen oxide, and sulphur dioxide.
So there is a need for a noise monitoring system based on Internet of things (IOT). The present invention helps to enable each object to collect and exchange Data. The semiconductor sensors have been used to detect the pollutant level; Pollution generated by vehicle; Noise Generated by vehicle. The present invention sensor helps to detect carbon monoxide and sulphur dioxide. The present invention uses microcontroller to compare the level of Pollutants. When pollutant level exceeds the fixed threshold value, traffic department and agencies of national environment will get notify. Due to heavier traffic and powerful engines , noise level in cities is rapidly increasing .Vehicle makes the noises because of trying to start the car with bad battery, valves tapping, Engine running without oil, Engine seizing up, lifter adjustment, piston slapping, and trany slipping. Combustion engines are used by most of the vehicles on the road. Loud noises have the foremost visible impact in terms of stress, loss of hearing and anxiety. The present system also measure the Noise generated by vehicle using the sensor. The present invention capable of detecting vehicles causing pollution on the city roads and measures various types of pollutants, and its level in the air. After collecting data about air quality data will be forwarded to environmental agencies. The present invention measures the gas level of air contamination in the cities.
It provide a coverage area of 300 meters around the city. A Distributed emission monitoring system will automatically detect volume, type, and speed of automobile by using the camera. WSN nodes for constant monitoring of the air pollution around the city and the moving public transport buses and cars. The present invention is used to monitor air pollution on roads and track vehicles which cause pollution over a specified limit.
OBJECTS OF THE INVENTION:
The main object of the present invention is to provide a noise monitoring system based on Internet of things (IOT).
Another object of the present invention is to collect and exchange data and to detect the pollutant level; Pollution generated by vehicle; Noise Generated by vehicle.
Another object of the present invention uses microcontroller to compare the level of Pollutants. When pollutant level exceeds the fixed threshold value, traffic department and agencies of national environment get notified.
SUMMARY OF THE INVENTION:
Accordingly, a noise monitoring system based on Internet of things (IOT) is disclosed. A noise monitoring system based on Internet of things (IOT) comprising of; GSM module for sending data to the cloud server; Detecting carbon monoxide concentration in air with the help of sensor; Reading it as a output in the analog form using a microcontroller; using RFID reader and tags to identify the EPC number at a distance, without line sight scanning or involving physical contact and can perform initial filtering on data from the readers; sensing by the sensors followed by displaying on Display screen; and sending all the data to the database of the website.
DESCRIPTION OF THE DRAWINGS:
Fig 1 is the flowchart for the noise monitoring system based on Internet of things (IOT).
DETAILED DESCRIPTION OF THE INVENTION WITH RESPECT TO DRAWINGS:
The present invention is a noise monitoring system based on Internet of things (IOT). The present invention helps to collect and exchange data and to detect the pollutant level; Pollution generated by vehicle; Noise Generated by vehicle. The present invention uses microcontroller to compare the level of Pollutants. When pollutant level exceeds the fixed threshold value, traffic department and agencies of national environment get notified.
In one embodiment, microcontroller is a series of credit card-sized single-board computers.
GSM Module: GSM /GPRS MODULE is built with Dual Band GSM/GPRS engine which, works on frequencies 900/ 1800 MHz The Modem allows to connect PC as well as microcontroller with microcontroller. The baud rate is configurable from 9600-115200 through AT command. The GSM/GPRS Modem is having internal TCP/IP stack to enable you to connect with internet via GPRS. It is suitable for SMS, Voice as well as DATA transfer application. It uses GSM module to send data to cloud server. Sensor: The present system uses the sensor to detect carbon monoxide concentration in air. The gas sensor is composed of the micro AL2O3 ceramic tube, Tin Dioxide (sno2) sensitive layer, measuring electrode and heater are fixed into a crust made of plastic and stainless steel net. CO sensor can measure a concentration of 10 to 10,000ppm. The reason to choose sensor is
• It has high sensitivity to carbon monoxide.
• It is stable and has a long life. The sensor detects H2, LPG, CH4, CO, Alcohol, Smoke or Propane. The output is in the analog form but it can be read using a microcontroller. The gas sensor is composed of the micro AL2O3 ceramic tube, Tin Dioxide (sno2) sensitive layer, measuring electrode and heater are fixed into a crust made of plastic and stainless steel net.
The reason to choose Sensor:
• It has good sensitivity to combustible gas in a wide range.
• Its cost is low and has a long life.
Noise Sensor: The present system uses the sensor to detect a noise in the vehicle. It’s small in size and cost is low. The Sound Detector provides an audio output, a binary indication of sound, and an analog representation of its signal amplitude. All these outputs are independent. Gain can be adjusted with a through-hole resistor, to change the threshold of the binary (gate) output pin as well.
RFID Reader and Tag: The present system uses RFID reader and tags. Radio frequency identification is a technology which uses tags as a component in a solution set. RFID tags contain a chip which holds an electronic product code (EPC) number that point to additional data detailing the contents of the package. Readers identify the EPC number at a distance, without line f sight scanning or involving physical contact. Middleware can perform initial filtering on data from the readers.
A cloud server is a logical server that is built, hosted and delivered through a cloud computing platform over the Internet. Cloud servers possess and exhibit similar capabilities and functionality to a typical server but are accessed remotely from a cloud service provider.
In another embodiment, Configuration of System: The present system contain microcontroller, GSM module, sensors, RFID reader and tag and cloud server. When the vehicle gets the start, the actuator will power ON microcontroller. Microcontroller initialize all sensors and convert the analog data. Each car have one unique ID associated with it. We have set threshold time as 20minutes.After every threshold time, microcontroller send information sensed by the sensor to the traffic department and agencies of national environment. All information sensed by the sensor is stored in a cloud server. The system use GSM module to send the data. RFID tag assigned to each car. Whenever the car passes through a sensor node, RFID reader detect the vehicle. RFID reader will be fixed at each traffic signal pole. The present system uses the LED and Display Screen at the backside of the car. If the gas emitted by car crosses the threshold value then that LED will turn into RED otherwise it will be green. Gas sensed by sensors will be displayed on Display screen. The noise level of the car is also be displayed on display screen.
Sensor Indicator Noise sensor is fixed at Near the Engine. Noise Limit for vehicles is also provided By Government of India.
In another embodiment, All sensors started reading data simultaneously. The data has been collected by using the microcontroller. Some calibration is required for each sensor before obtaining the pollution level. The Sensors are very sensitive that it can sense the gas emitted from other vehicles while stuck in Traffic which can disturb the integrity of the system. This can be overcome by reading the samples over a period of time and then based on the average value the system will take an action. The present invention monitors pollution and Noise created by vehicle. The present invention is a low cost, simple to operate and portable and provides better efficiency and accuracy with low cost than the existing system.
In another embodiment, A noise monitoring system based on Internet of things (IOT) comprising of;
a. GSM module for sending data to the cloud server;
b. Detecting carbon monoxide concentration in air with the help of sensor;
c. Reading it as a output in the analog form using a microcontroller;
d. using RFID reader and tags to identify the EPC number at a distance, without line sight scanning or involving physical contact and can perform initial filtering on data from the readers;
e. sensing by the sensors followed by displaying on Display screen;
f. sending all the data to the database of the website.