Take Energy and Maintenance Efficiency to the Next Level
Among the many benefits of using FogHorn’s edge intelligence platform for smart buildings are lower energy consumption, predictive maintenance, better security, increased occupant comfort and safety, and better utilization of building assets and services. Rather than sending massive amounts of building data to the cloud for analysis, smart buildings can use FogHorn’s edge intelligence for more responsive automation while reducing bandwidth costs and latency.
Optimize systems for maximum KPI performance, quickly adjust to changing conditions.
Reduce repair costs, minimize downtime, maximize output, and improve remediation efficiency.
Lower maintenance costs, improve asset performance and longevity, and maximize yield.
Maximize high-value asset output, balance reliability, performance, and cost.
Schindler Optimizes Elevator Performance with On-board Edge Computing
Schindler recognized the value in analyzing the 2.5 GB of sensor data each elevator produced daily to anticipate maintenance needs, avoid downtime, minimize expensive repair and replacement costs, and ensure a high level of customer satisfaction. Cloud-based solutions would not scale to address Schindler’s challenges. The simple cost to move 2.5 GB of data a day over a 4G cellular connection for over a million elevators would be untenable. Not to mention the costs of cloud storage for all of this data.
The solution required adding FogHorn Lightening edge intelligence to each elevator’s core motion sensor kit, a small ARM-based gateway with 200-300 MB of available memory that monitors temperature, humidity, 3-axis accelerometers, braking and other data. With edge insights, Schindler is can move to smart prescriptive maintenance, reducing costly repairs and servicing and avoid costly investments in bandwidth and cloud computing charges.