Integrated Desıgn
Through coordinated designs of the motor, motor driver, battery, and battery management system, the aim is to optimize system efficiency and performance, targeting a total efficiency exceeding 85%.
an exceptional design for an underwater scooter
7.2 km/h speed
motor efficiency of 85%
Capacity to fully charge within 1,5 hours
300 wh battery capacity
With a speed of 2 m/s (equivalent to 7.2 km/h) and an efficiency of minimum 85%, OtterScooter excels in energy efficiency compared to others on the market. Additionally, its capability to fully charge in 1.5 hours provides users with a swift experience.
With a battery capacity of 300 Wh, it surpasses many products on the market in terms of energy capacity. This provides users with a long usage time of up to 90 minutes.
OtterScooter prioritizes user experience by providing an integrated remote control panel that can be seamlessly incorporated with surface equipment like boats, vessels, and surfboards.
With a diving capacity of up to 50 meters, it offers a wide range of usability.
There will be a wireless communication in between the remote control panel and OtterScooter using the 433 MHz ISM band. Utilizing the low-frequency ISM channel enhances penetration, extends range, and provides more reliable communication capabilities.
Deep diving capacity of 50 m
Integratable remote control panel
Wireless communication between OtterScooter and remote control panel
Through coordinated designs of the motor, motor driver, battery, and battery management system, the aim is to optimize system efficiency and performance, targeting a total efficiency exceeding 85%.
The inclusion of interchangeable external battery modules will extend the operating time. The batteries utilized in the design have been carefully selected from domestic sources.
The remotely controllable OtterScooter enables land-based intervention in emergency situations. In the further stages of design, the addition of location tracking systems aims to achieve an autonomous system.
The ongoing Otterscooter project has flourished from the strategic partnership between two innovative tech firms: Devinno & Irontek
Predictive Maintenance System for Pumps
Devinno recently finalized the design and prototyping of a predictive maintenance system for identifying potential malfunctions in pumps. This system utilizes data analysis from a 6-axis accelerometer in both time and frequency domains, supported by AI applications. Notifications are delivered to designated users through Bluetooth 5.2 communication.
Bart measures acceleration in 3 axis and temperature.
Measurement range, frequency and unit can be adjusted according to user-preference.
Bart allows detection of system errors as well as potential future faults.
Bart measures acceleration in 3 axis and temperature. The acceleration measurement range (G) and unit (speed/acceleration), as well as the measurement frequency, can be adjusted according to user preference. The system calculates the root mean square (RMS) value of speed and/or acceleration from the sampled acceleration data. It then checks whether these calculated values exceed the maximum values determined by ISO standards.
This allows for the detection of system errors as well as the identification of potential system faults that may occur in the future.
During system setup, the “User Maximum Speed Values” are determined, allowing for the verification of whether the permitted vibration speed effective values are exceeded within the usage period.
During operation, the measured temperature and vibration values are continuously compared to the preset limits entered during setup (either ISO standards or user-defined). If these limits are exceeded, the user is alerted via LEDs on the sensor.
Measurements are taken every 15 minutes and stored, allowing access to records dating back up to three months. Users can view these records via a mobile application on their phone or tablet, enabling them to examine measurements taken on each axis graphically for troubleshooting purposes.