SOTL6
Direct Connect to Controller
Comprehensive Analysis of Controller Data
As opposed to obtaining data points and detecting anomalies through sensors from our SOTL5 Car Top Sensor Box, SOTL6 connects directly with an elevator health trends.
SOTL6 – Direct Connection to Controller
SOTL6 is an loT solution built by Datahoist Inc. that detects and analyzes elevator health trends by analyzing and manage controller data in addition to any sensor data that may be available directly from the controller. Combined with adaptive, self-learning algorithms our SOTL6 and software analyzes and records controller data and transmits it via cellular or network to the Microsoft Azure Cloud. Users have access to a cloud-based web user interface to view their data.
The system is fast and easy to install, learns patterns and alerts users to any anomalies it detects.
Datahoist’s patent-pending, advanced analytics tools use AI learning skills to recognize patterns that might represent problems. Our intelligent algorithms analyze hundreds of data points from the vibrations and acceleration of elevator operations.
Our intelligent maintenance analytics system can also recognize when there is a pending issue with your equipment and help you contact a service provider before a breakdown.
Advantages of Controller Data
The Datahoist Predictive Analytics system is able to include a wide variety of controller data to analyze the performance of your elevators and escallators. This data provides a more robust ability to determine equipment status and predict future performance.
As with SOTL5 devices, SOTL6 managed equipment Status is shown based on severity of issue detected and overall state of the unit. We use common green, yellow, orange and red indicators so users can quickly determine status and triage problems.
SOTL6 is designed to directly connect to your elevators, escallators and other device controllers. The device is installed next to the controller with discreet wiring in approximately 2 hours with a trained certified elevator technician.