Fei Yuan
Intelligent Instrumentation
Each day, hundreds of thousand people living in GTA rely on GO transit to commute from home to workplace and schools. The deteriorating track systems used by GO transit not only greatly affect the riding experience of its customer, it also severely limit the speed of its trains and the safety of the systems. Taking the Lake-Shore West line as an examples, passages experience severe vibration and discomfort in some sections of the line. Pine-pointing the location of the sections where severe vibration is encountered and the degree of the severity of vibration are critical to GO transit.
Design a real-time wireless system that can monitor the degree and location of the vibration of a moving train and test the developed system on one of GO Transit's existing lines.
The vibration system will use a GPS system interfaced by a microprocessor to obtain the coordinates of a moving train and measure the speed of the train, the degree of the vibration, both vertically and horizontally, of the train, and transmit the measurement results to a central location using an existing cellular network.
1) Select a GPS system that have a sufficient resolution.
2) Select a microprocessor capable of performing multi-channel analog-to-digital conversion, communicate with the GPS system and wireless capability to communicate with existing cellular networks.1
3) Select vibration sensors that can detect the degree of vibration in both vertical and horizontal directions.
The development of the entire system and the test of the system on one of GO Transit existing lines. It is highly recommended that group will communicate this idea to GO Transit and seek any useful information and help from GO Transit.
This student is responsible for vibration sensors, the digitization of the output of the vibration sensors, the calibration of the sensors, and the development of the algorithms that can analyze the results of the vibration sensors.
This student is responsible for GPS selection, communication between the microprocessor and the GPS system, and the development of an algorithm that can determine the speed of the train.
This student is responsible for the development of algorithms that transmit the measurement results to a central location using an existing cellular network.
FY06: Real-Time/Location GO Transit Train Vibration Monitoring System | Fei Yuan | Saturday September 16th 2017 at 05:39 PM