Pakistan?s solid waste generation goes from 0.283 to 0.612 kg/capital/day and waste generation growth rate increases by 2.4% every year. Main problem occurs when the waste remains untreated and disposed of by municipal authorities every day in an unhygienic manner leading to health iss
Smart waste management system
Pakistan’s solid waste generation goes from 0.283 to 0.612 kg/capital/day and waste generation growth rate increases by 2.4% every year. Main problem occurs when the waste remains untreated and disposed of by municipal authorities every day in an unhygienic manner leading to health issues and environmental degradation.
All these statistics are what makes it so important to make necessary efforts in the problem concerned. To encounter this alarming problem, Smart Waste management (SWMS) is an automated and smart dustbin intended to reduce human efforts and improving cleanliness. The project aims to develop a working prototype that has features like garbage level sensing.
Proposed system involves:
The project aims to develop a working prototype that has features like garbage level sensing. Some additional features involve:
1. Monitoring and collection of waste from garbage bins placed at different places in a particular geographical area.
2. Indicating the level of garbage in the garbage bins.
3. Sending the garbage bin status to the operators by continuously displaying it on a mobile application.
3. Displaying the current location and status of garbage bins on a map.
4. Maintaining a database on the data acquired during the system’s operation.
5. Predicting the time each bin is going to be full.
The main objective is to make the low cost and effective waste management system that will
stop the overflow of wastage outside the bins .
The proposed system can make the surrounding area clean providing better standard of living for people by efficient collection of bins in a timely manner.
The objectives are as follows:
For implementing the term of IoT one basically needs a module or device supporting Wi-Fi or Cloud capability. For this, the used module is NodeMCU a Wi-fi module capable of implementing Internet of Things.Node MCU will be acts as a heart of the project. The proposed system combines Smart Sensors and andriod application to effectively monitor individual bin status.
The ultrasonic sensor will be placed at the top of the bin which will detect the level of the bin.When the bin level reaches to the threshold value.The ultrasonic sensor will send signals to the Node MCU containing information about the level of the bin.Node MCU then activates the GPS modem which will capture the location of the bin. Node MCU then upload the data on the database.We are using “Firebase Realtime Database” to store the real time information of the bin. In case of fire, MQ2 gas sensor will be used for early fire detection.When the sensor detects any kind of gas it will alert the Node-MCU. Node-MCU upload the data to the database which will be taken by an application.
The proposed system “Smart Waste Management system” obviously needs hardware side along with any software to monitor the garbage levels.The andriod application will then show the real time location of the bin through interactive interface and the level of the bins to the user.
Morever, the collected data will be used for future analysis to predict the peak level of bin fullness and the application shows the graph of individual bin which will provide us the ability to identify which bin really require collection or which area really need more bins.In case of fire detection,the application will alert the user.The user can see the status of the bin from anywhere in the world.
Following are the benefits of Smart Waste Management:
Proposed system involves:
Our proposed project “Smart Waste Management system “ is based on the hardware and software parts.
The hardware portion includes the designing of the prototype of smart waste management system using smart sensors and various hardware components to collect the information of individual bin and uploading that information to the database.
The software part includes the designing of a user friendly application that allows user to see the individual bin status through interactive app interface.
HARDWARE PART:
The hardware components are:
NodeMCU is an open source development board and firmware, contain the widely utilized ESP8266 -12E Wi-Fi module. It enables you to program the ESP8266 Wi-Fi module with the basic and strong LUA programming language or Arduino IDE.
This is used to determine the distance to an object. It offers excellent non-contact range detection with high accuracy and stable readings in an easy-to-use package from 2cm to 400 cm. The HC-SR04 gives the accurate distance measurement using the transmit-echo operation.
It is one of the most commonly used gas sensors in MQ sensor series. It is a Metal Oxide Semiconductor (MOS) type Gas Sensor. It can be used to detect fire.
A GPS receiver tracks and uses multiple satellites for fast, accurate positioning and velocity estimates. The GPS Modem is specifically included in this project so as to give the precise location of the bins being monitored.
SOFTWARE PART:
The mobile application will consists of:
With the Maps SDK for Android, maps based on Google Maps data can be added to a mobile application. The API automatically handles access to Google Maps servers, data downloading, map display, and response to map gestures.
An update button is responsible to update the location information to the Firebase database. The Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in realtime. When building cross-platform apps with Android, and JavaScript SDKs, all of the garbage collectors share one Realtime Database and automatically receive updates with the newest data.
Firebase Predictions can be used to predict the fullness of each bin.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| NodeMCU | Equipment | 2 | 450 | 900 |
| HC-SR04 Ultrasonic Sensor | Equipment | 2 | 200 | 400 |
| MQ2 Gas Sensor | Equipment | 2 | 300 | 600 |
| The GPS Modem | Equipment | 2 | 650 | 1300 |
| breadboard/vero board | Equipment | 2 | 200 | 400 |
| LCD | Equipment | 2 | 250 | 500 |
| Batteries | Equipment | 6 | 200 | 1200 |
| Total in (Rs) | 5300 |
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