tymokvo / chaosgit Goto Github PK

More information available here: https://smart.princeton.edu/

Teensyduino for arduino control and sensor readings

• Available here: https://www.pjrc.com/teensy/td_download.html

Node.js for pipe.js & lstprts.js

• On Linux/MacOS:
  • Install Node Version Manager (NVM) by running curl -o- https://raw.githubusercontent.com/creationix/nvm/v0.33.2/install.sh | bash
  • Install nvm install node
• Also available here: https://nodejs.org/en/download/

S.M.A.R.T Sensor

• Clone this repo

• cd /<path-to-this-repo>
• npm install serialport
• npm install --save ws
• node main.js
• run node lstprts.js to list all usb ports. Select the correct name and update pipe.js port name variable accordingly.

• Run node pipe
  • Will get PIPE: Serialport Error if USB is not connected
• Open index.html in browser
  • Used to display three.js visualization
• Run commands using console in browser
  • See commands documentation below

• L: Toggle laser on or off
• H: Move to home position
• C: Disables stepper motors
• E: Enables stepper motors
• A<degree>: Move servo A (rotates around vertical axis) to the position indicated by
  • For example: A10 will move A to 10 degrees from the normal
• B<degree>: Move servo B (rotates around horizontal axis) to the position indicated by
  • For example: B80 will move B to 80 degrees from the normal
• M: Take a complete measurement at current position, point will be added to dataset
• R: Take a mylexis reading at current position
• D: Take a lidar reading at current position
• start scan: will begin a scan using the current scan pattern
• load scan <scan name>: load a scan JSON into browser visualization. Scans should be stored in the completedScans directory.
  • For example: load scan f1rst-6v-2017_05_05-studioLABIA.json
• load pattern <pattern name>: load a scan pattern for future scans. Scan patterns should be stored in the scanParams directory.
  • For example: load pattern 6v-scanPoints.json
  • If this command is not run the default pattern is set in js/smartScanning.js