Self Guided Logistic System

Our self-guided logistics system is an industry-based automated vehicle that will be designed and engineered with precise calculations, our aim with these calculations is to make such a robot/vehicle that will be able to bear approx. 80kgs of weight and carry it from one place and transport that par

Project Title

Self Guided Logistic System

Project Area of Specialization

Mechatronics Engineering

Project Summary

Our self-guided logistics system is an industry-based automated vehicle that will be designed and engineered with precise calculations, our aim with these calculations is to make such a robot/vehicle that will be able to bear approx. 80kgs of weight and carry it from one place and transport that particular weight to the other place. Our robot (SGLS) which can move a particular area by transmitted a signal from a different machine in a manufacturing line it may be necessary to transport raw materials from a supply to a milling machine or a lathe. We included an RFID sensor which is used to make decisions while traveling in the logistic system moreover detect tags readers have been attached to the SGLS. therefore, the RFID sensor can calculate its current position, receive machine instructions to move to a different position and send signals to motors to move to the destination. The metallic strip is used for guiding the vehicle with help of a proximity sensor the proximity sensor is positioned on the front end of the SGLS. Whenever the SGLS faces an obstacle less than 2m away from the SGLS, ultrasonic sensors will be detected. SGLS will slow their movement until the distance reaches four inches, which is the minimum distance, then the SGLS stop their motion to prevent interference between an obstacle and the SGLS because the SGLS would need sufficient space to carry out a turn from here; if there is no space Otherwise, the SGLS will come to an end, because the SGLS faces an obstacle. Through this project, the main goal of our project is to implement routing and scheduling capability. For routing, we are using an A* algorithm for computing the shortest path. A* algorithm is used to calculate the optimal solution it is done on ROS.  And for the scheduling, we are using two algorithms Genetic (GA) and Particle Swarm Optimization (PSO). We provide ease and comfortable through this system as much as possible. It will work such as user will assign all the jobs  to our robot and the robot will take the jobs according to the priority and time base robot have the smart decision capability which jobs is need to be transport first, how long it would be taken to complete its manufacturing and robot will also  provide the user with the information that which machine is vacant and which machine is currently working beforehand, than the user with put the part to be transported on the robot and specify the type of machine(e.g. lathe, milling) he/she want the part to be transported, now there are more than one of that type of machine so, through a smart scheduling algorithm our robot will figure out that which machines are vacant and which machine is nearest from all the vacant machines, but now there are more than one paths to that nearest vacant machine so, now from a smart routing algorithm our robot will find the shortest path to that nearest vacant machine and will travel to that machine through the metallic strip.

Project Objectives

Self-guided Logistics vehicle is now commonly used in many industries, warehouses, etc. Nowadays industries are converted their logistics work in an automated way, however, these industries faced many difficulties for transporting their materials for many years for this they usually choose robots like self-guided vehicles but somehow, we have seen many challenges from these fields such as routing and scheduling problems.

We have two main objects from our project

1. To implement the routing capability
2. To implement the smart decision and scheduling capability.

Our aim through this project is to make our industries fully automatize and minimize human work. Furthermore, we provide ease and comfortable through this system as much as possible. The purpose of routing and our first object is that Guided vehicle is to use as the shortest path and save as time as possible for each job. The route chosen must be free of congestion, conflict- and deadlock and the route must be short idling for vehicles, to determine if there exists a route that can take a vehicle from its origin to the destination. And the purpose of the scheduling (second objective)  it will provide easier and in the production line as It will work s as the user will assign all the jobs  to our robot and the robot will take the jobs according to the priority and time base robot have the smart decision capability which jobs need to be transported first, how long it would be taken to complete its manufacturing and robot will also  provide the user with the information that which machine is vacant and which machine is currently working beforehand, than the user with put the part to be transported on the robot and specify the type of machine(e.g. lathe, milling) he/she wants the part to be transported

Project Implementation Method

We have divided our project into four phases.

Researching Process:

First have to start the literature review of the previous work regarding our project and implementation techniques, and understand how much work had done and nowadays what they are needed to more automized their work where and which part they have faced problems then finalizes our project objective after then decide which equipment and actuators, the controller will be needed into our project after that and have done all the project calculation before purchasing all the equipment’s and others materials we also have done the literature review on algorithms which algorithms will be needed for routing and scheduling in our system.

Designing Process

In the second phase, we are working on the designing part of our project we finalized the design and make the CAD design and simulate that how much load the vehicle bear easily we completed the part analysis on CAD design. We also make the circuit design in our project to test all the electrical components of our project. We finalized the placement of actuators and positioning of the sensors through CAD designing

Assembling Process

In the third phase we working on the mechanical and electrical part of the projected first we start working on the mechanical part such as cutting the sheet all welding and drilling smoothing and finally assemble all the mechanical structure from our CAD design and then we start working on the electrical part to make the circuit and mounted the motors, sensors and other electrical equipment then finalized the vehicle part.

Software Process:

In the last phase, we are working on the software part because we have to implement algorithms in our system through the controller, we start working on our first objective to implement.  A* algorithm we integrated the Rosebery Pi and Arduino for communication purpose A* algorithm for computing the shortest path. A* algorithm is used to calculate the optimal solution it is done on ROS. In the ROS We made two nodes in our system in the first Node A* algorithm is implemented for the shortest path and in the second node used for Adriano to control sensors and actuator by Arduino and both nodes communicate in the whole control system which quite accurate and perform precisely without interruption. And in last, we will go for the second objective which is to implement the scheduling algorithms we will use Genetic (GA) and Particle swarm optimization (PSO) algorithm for scheduling the system we implement both algorithm functions separately  because we have to check which algorithm gives the better optimal results, therefore, we compare both results and then those results will be suitable for our work will be instructed and executed in our system through the controller and we will get the finalized  the result in the form smart decision and with better performance

Benefits of the Project

This project is an industrial based project and it has many advantages and benefits of the project such Self-guided logistics system is a smart device that can use onboard processing to perform decentralized decision-making, such as path planning and collision avoidance because we are targeting our SDG decent work and provide ease for every it will help in our industries to increase their growth especially in Pakistan In addition, This Robot is fully automated transport systems that provide reduction in operational cost, enhanced workforce safety, and decrement in production, therefore, a small sector in Pakistan also install easily because it is a low-cost industrial robot and help their production growth due fast and rapidly transportation This project also Rapid Growth of E-commerce in the worldwide Moreover those company that switches to a Self-guided logistics system enables a company to save money, and operate efficiently for decades. A self-guided logistics system also reduces the need for humans to expose themselves to extreme temperatures, hazardous substances, and heavy lifting. Whereas a human operator always has the potential to become distracted or fatigued and therefore can cause an accident, a Self-guided logistics system does not have these concerns. A self-guided logistics system also reduces the need for humans to move heavy loads or to perform repetitive tasks. Humans are an effective way to transmit infections, thus reducing the worker's headcount minimize the contagion probability. This system is programmed to perform the best route or to perform a given task in an efficient way. Automation reduces waste and increases overall output, allowing your operations to become more productive and accurate. All these benefits together help our society and to provide ease in our industries and improve our indusial infrastructure, way of working they will convert their work into industry 4.0 this project also provides safety environment in the industry during working hours because sometimes lifting heavy loads manually will make the problems to workers and labors, therefore, this project decreases their manually work and provide comfortable environment In Pakistan this project will be used many sectors such health sectors food manufacture for their transportation any materials from one location to another due to their atomization system. And very sectors take advantage of this system their economy will also increase reduced mistakes, better safety conditions inevitably lead to enhanced overall productivity in all over Pakistan

Technical Details of Final Deliverable

The final deliverables of our project are working porotype of the vehicle mechanical structure which have mounted all the sensors that we are using in our project, actuators, and controller from our project and the vehicle will carry 80kg loads easily if the load increases as per instruction the vehicle will not move until the load meets to our condition. The aim of our project is to implement the routing Algorithm, therefore, the outcome from our project is to take the shortest path while transportation and avoided the collision with any obstacle object if the obstacle object will come into the path vehicle will stop and take a second shortest path and transport the material and complete its job with safely. The second main goal is implementing the scheduling and smart decision capability in our project. User assigned all the jobs to robot and SGLS take the part according to time base and priority such as which part needed first even if the job will take more time to complete its manufacturing. In the second condition, if the job there is no priority so, the robot will take the part according to time base it has also decision capability that how many machines are vacant and the assigned job where and which machine is to be transported these results will come out at the end of the project.

Final Deliverable of the Project

Hardware System

Core Industry

Manufacturing

Other Industries

Medical , Food , Health

Core Technology

Robotics

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com