| Student Name | School | Degree | Year | |
|---|---|---|---|---|
| Muhammad Saqib Irhsad | SMME | Undergraduate | Third | [email protected] |
| Muhammad Nouman Aqil | SMME | Undergraduate | Third | [email protected] |
| Muhammad Ahmad | SMME | Undergraduate | Third | [email protected] |
| Kashaf Akhtar | SMME | Undergraduate | Third | [email protected] |
| Syed Ahmad Kamal | SMME | Undergraduate | Third | [email protected] |
| Inter School Idea ? | No |
| Do you need expertises from another area: | Yes |
| If Yes please provide details of expertises you need: | Machine learning Expert |
| Idea Name: | Real-Time Decision-Making |
| Slogan: | Simple solution to complex problem |
| Supervisor Name: | Dr. Muhammad Jawad Khan |
| Supervisor Designation: | Assistant Professor |
| Supervisor School: | SEECS |
| Supervisor Department: | School of Mechanical and Manufacturing Engineering |
| Contact number: | 051-90856058 |
| Email ID: | [email protected] |
| Abstract: | |
| Pakistan owns a growing weaving industry and exhibits great potential in the weaving sector. The focus of our idea is on the implementation of an automated process that keeps track of production, measures the performance of looms, schedules its maintenance, suggests tasks timeline, and alerts the operator whenever a machine seizes to operate on account of faulty behavior of any of its components. | |
| What is the unmet need in society that your idea will fulfill ? | |
| In the textile industry, there is no efficient procedure for monitoring looms and reporting their performance. Most of the monitoring is still done manually in this era of technological advancement. | |
| Who needs it ? How many would benefit ? | |
| Textile industries: because it will help them monitor the performance of looms and schedule their tasks. | |
| How will the solution works | |
| IoT will be used to monitor and record relevant data such as loom RPM, total production, down-time, and power being used by the loom. A specially designed software will use recorded data to monitor loom performance and notify operator in case of faulty behavior. Analyzing the recorded data, the software will also predict the behavior of the loom and schedule its maintenance beforehand. Moreover, data recorded by the sensor can be used to visualize productive hours of looms. | |
| Who are your competitors ? How is your solution different | |
| Currently, there is one company that offers services for real-time reporting of machine performance, but they do not offer services for machine performance prediction, scheduling its maintenance, and predicting tasks completion timeline. | |
| Status: | new |
| Entry Date & Time: | 2021-12-23 (1850) |