Pet Car Alarm for TI-Nspire CX OS 4.5

Pet Car Alarm for TI-Nspire CX OS 4.5

Author: Texas Instruments Inc.

Område:  Biology, Computer Science, Physics, STEM

Labels:  Coding, TI-Innovator

Pets suffer when left unattended in a car on a sunny day. Understand the science behind the greenhouse effect. Use math, computer programming and engineering to design a pet-smart alarm system.


Summary: Pets may suffer when left in a closed car on a hot sunny day. The temperature inside the car may quickly rise to 40 °C or more above the outside ambient temperature because of the greenhouse effect. A pet car alarm system could prevent harm to pets by taking action to cool the interior and to notify the owner.

Challenge: Conduct research into why mammals such as humans, dogs, and cats are unable to endure hot environments like closed cars in the summer for long periods. Then design a solution using technology to protect car occupants from heat distress. Refine your design until you have a working prototype. With your teacher’s permission, compare your prototype with those of your classmates to determine which team has the “best” system.

Description: In the Pet Car Alarm project, students build and program a simple feedback and control loop. Feedback and control loops are central to many industrial systems and consumer products.  The system uses three input modules; Two temperature sensors and a Hall effect magnetic field sensor. The system has four outputs that include two white LED lights (headlights), 1 continuous servo motor (controls the window) and also makes use of the TI-Innovator Hub’s built-in speaker (horn honking). The continuous servo requires more power than the calculator can provide. Therefore, an external USB battery is needed.  A program is written to read all three input parameters and logically compare them with critical set-point values to determine when to turn on the alarm. The project is presented in a series of small challenges that build the knowledge and skills required for the final open-ended challenge. The final challenge also relies on the students’ understanding of important biology and Earth science topics that are relevant to optimizing the system the students ultimately design and refine.


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