[Audio] Siddhi Patidar is leading a project to prevent under-loading and overloading of Railway wagons. The Magic Cube team is developing a system of internet of things device for use in the transportation and logistics domain. Siddhi Patidar is leading the team and is being supported by the Ministry of Coal.. 

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Basic Details of the Team and Problem Statement

Ministry/Organization Name/Student Innovation: Ministry of Coal
 PS Code: SIH1313    
Problem Statement Title: A system of IOT device to prevent                  under-loading/overloading of Railway wagons. 
Team Name: The Magic Cube 
Team Leader Name: Siddhi Patidar 
Institute Code (AISHE): 
Institute Name:
 Theme Name: Transportation & Logistics

[Audio] For this project, we are using the latest smart sensors and data transmitting devices that will be connected to the top of the side frames of the bolster beam of the wagons, equipped with load cell sensors to keep them protected from any damage. The system is also coupled with a centralized platform that will track the weight and loading status of the wagons. We will use IOT devices to determine the safe weight limits and thresholds for each train wagon, based on regulations and wagon specifications. The IOT devices will come with Wi-Fi communication, allowing data transmission to a cloud-based platform with a GSM Module/Node MCU. Additionally, laser beams will be mounted vertically at the top of the wagons to track the loading, measuring the distances between the laser beam and the base of the wagons. Laser sensors and scanners will check the load distribution and securement of the cargo inside. Another laser beam will be connected horizontally across the adjacent walls of the wagons to measure underloading and overloading of goods. If the laser beam is affected, it means the goods are overloaded, and if not affected, it means there is underloading.. 

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Introduction: We’re looking for a solution by creating an android and web based Application that will serve as a platform for consumers to get rid of the problem of underloading/overloading of Railway Wagons.                                                      Level 1:
 The system includes smart sensors , data transmission devices and a centralized monitoring platform which tracks the weight and loading status of wagons. IOT devices are equipped with load cell sensors connected at the top of side frames of Bolster beam in order to protect the load cells from damaging. Identify safe weight limits and thresholds for each train wagon based on regulations and wagon specifications. The devices will also have a wi-fi communication to transmit data to a cloud-based platform via GSM Module/Node MCU(latest version of GSM Module).
                                                      Level 2: A laser beam will be connected at the top of wagon in vertical way to track the loading of wagon by measuring the distance of the laser from the base of the wagon.  Laser sensors and scanners are used to check the load distribution and securement of cargo within the wagon. Proper load distribution is essential for the safety and stability of the train.                                                           Level 3: We can also connect another laser beam horizontally across the adjacent walls of the wagon through which underloading and overloading can be measured. This can be achieved by a ray of laser beam . If laser beam is affected then it results in overloading of goods and if not affected then underloading will be considered.

Server
Enter registration details
Store user data
User data Stored ,
Registration complete
IoT Device
Request wagon data
User
Fetch wagon data'
Send wagon data
Database
10T Device

Load cell 1
Sin le
Single
AMP
Load cell 3
Sin le
Alb
processor ESP32
Single
Load cell 2
Load cell 4

[Audio] The Magic Cube team is exploring a novel solution to the issue of under- or over-loading railway wagons. Incorporating the latest in IoT technology, their system is designed to monitor the balance of the load, as well as generate predictive maintenance algorithms to spot any potential problems. This system will also provide operators with a dashboard that enables them to visualize historical loading data, recognize trends, and reach informed decisions. Taking the relevant dependencies and show-stoppers into account, such as wear and tear, shock and impact, electrical problems, system dependency on the internet, and data loss and recovery, the team is confident of their progress.. 

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Optimizing Cargo Loading:  Develop  a system that analyzes the weight and volume of cargo to ensure railway wagons are neither underloaded nor overloaded.
 Real-time Monitoring:  Create a monitoring system that uses sensors that uses sensors and IOT technology to continuously track the weight and balance of cargo within wagons.
 Predictive Maintenance: Implement predictive maintenance algorithms to detect potential issues related to underloading or overloading , which could lead to wear and tear on the wagons or track.
 Data Analytics and Reporting: Build a dashboard for operators to visualize historical loading data , identify trends , and make informed decisions about load planning and maintenance.

Bear and Tear: Applying a load that exceeds the load cells capacity can lead to permanent damage or deformation of load cell's internal components.
  Shock and Impact: Sudden shocks or impacts on the load cell can cause damage to the internal strain gauges, affecting its accuracy and reliability.
 Electrical issues: Problems with the electrical connections or circuitry can also affect the load cell's performance.
 System Dependency on internet: Systems that heavily rely on the internet will experience a more pronounced impact when connectivity is lost.
  Data Loss and Recovery:  Systems that rely on real time data from internet may experience data loss during connectivity interruptions.

[Audio] The Magic Cube team, led by Siddhi Patidar from the Ministry of Coal, has five members: Palak Soni, Rupali Neelkanth, Hemant Ahirwar, Abhishek Agrawal and Pranay Wankhede. The team is supported by two mentors: Dr. Indra Kumar Shah with 13.5 years of domain experience, and Mr. Sharad Jain with 12 years of domain experience. Both mentors have extensive knowledge in the areas of IOT and Wireless Sensor Network and IOT and Mobile Communication, respectively. We wish the team and mentors the best of luck in completing the project.. 

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Team Leader Name: Siddhi Patidar 
 Branch (Btech/Mtech/PhD etc):  Btech		                Stream (ECE, CSE etc):  CSE-IOT		                              Year (I,II,III,IV):  III Year Team Member 1 Name:  Palak Soni Branch (Btech/Mtech/PhD etc):  Btech	                                           Stream (ECE, CSE etc):  CSE-IOT 		                             Year (I,II,III,IV):   III Year Team Member 2 Name: Rupali Neelkanth  Branch (Btech/Mtech/PhD etc):   Btech	               Stream (ECE, CSE etc): CSE-IOT                                                                                  Year (I,II,III,IV):  III Year Team Member 3 Name: Hemant Ahirwar   Branch (Btech/Mtech/PhD etc):   Btech                                           Stream (ECE, CSE etc): CSE-IOT 	                                                       Year (I,II,III,IV): III Year Team Member 4 Name: Abhishek Agrawal 13 Branch (Btech/Mtech/PhD etc):  Btech	                                         Stream (ECE, CSE etc): CSE-IOT	                                                                                  Year (I,II,III,IV): III Year Team Member 5 Name: Pranay Wankhede Branch (Btech/Mtech/PhD etc):  Btech	  	             Stream (ECE, CSE etc): CSE-IOT 	                                                      Year (I,II,III,IV): III Year Team Mentor 1 Name:  Dr. Indra Kumar Shah Category (Academic/Industry): Academic                                  Expertise (AI/ML/Blockchain etc): IOT and Wireless Sensor Network     Domain Experience (in years):13.5 Years Team Mentor 2 Name:   Mr. Sharad Jain Category (Academic/Industry):  Academic	             Expertise (AI/ML/Blockchain etc): IOT and Mobile Communication	Domain Experience (in years): 18 Years

Siddhi Patidar from the Ministry of Coal is leading a project to prevent under-loading and overloading of Railway wagons

The Magic Cube team is developing a system of internet of things device for use in the transportation and logistics domain

Siddhi Patidar is leading the team and is being supported by the Ministry of Coal.

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For this project, we are using the latest smart sensors and data transmitting devices that will be connected to the top of the side frames of the bolster beam of the wagons, equipped with load cell sensors to keep them protected from any damage

The system is also coupled with a centralized platform that will track the weight and loading status of the wagons

We will use IOT devices to determine the safe weight limits and thresholds for each train wagon, based on regulations and wagon specifications

The IOT devices will come with Wi-Fi communication, allowing data transmission to a cloud-based platform with a GSM Module/Node MCU

Additionally, laser beams will be mounted vertically at the top of the wagons to track the loading, measuring the distances between the laser beam and the base of the wagons

Laser sensors and scanners will check the load distribution and securement of the cargo inside

Another laser beam will be connected horizontally across the adjacent walls of the wagons to measure underloading and overloading of goods

If the laser beam is affected, it means the goods are overloaded, and if not affected, it means there is underloading.

The Magic Cube team is exploring a novel solution to the issue of under- or over-loading railway wagons

Incorporating the latest in IoT technology, their system is designed to monitor the balance of the load, as well as generate predictive maintenance algorithms to spot any potential problems

This system will also provide operators with a dashboard that enables them to visualize historical loading data, recognize trends, and reach informed decisions

Taking the relevant dependencies and show-stoppers into account, such as wear and tear, shock and impact, electrical problems, system dependency on the internet, and data loss and recovery, the team is confident of their progress.

The Magic Cube team, led by Siddhi Patidar from the Ministry of Coal, has five members

Palak Soni, Rupali Neelkanth, Hemant Ahirwar, Abhishek Agrawal and Pranay Wankhede

Dr  Indra Kumar Shah with 13.5 years of domain experience, and Mr  Sharad Jain with 12 years of domain experience

Both mentors have extensive knowledge in the areas of IOT and Wireless Sensor Network and IOT and Mobile Communication, respectively

We wish the team and mentors the best of luck in completing the project.

Basic Details of the Team and Problem Statement

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