The constant flow of people in large cities like Shanghai can push emergency, health, and other public services to their breaking point. This is especially true when a crisis occurs, and governments/businesses are required to act quickly to ensure the safety and security of the public.
The city of Shanghai is committed to being prepared for a crisis such as a pandemic, terrorist attack, or natural disaster and this means having systems in place before disaster strikes. However, this is easier said than done due to the high costs associated with installing IoT sensors, developing systems to ingest and respond to the data, maintaining those systems/sensors, and updating them to keep up with ever-evolving needs. Having more elevators than New York and London combined, the Shanghai government decided using already in-place sensors and infrastructure the best place to start.
Leading Chinese IT company, INESA, took on the challenge of equipping over 250,000 of Shanghai’s elevators with real-time technology to ensure the safety and security of both building assets and the people inside. To make this happen, INESA needed a platform that could handle the millions of potential events coming in per second from the many sensors on modern elevators and allow them to take real-time action on those events.
The Coronavirus has had a major impact on both business and daily life for nearly everyone around the world. In response to this pandemic, INESA is evolving their smart elevator application to track the usage of masks and detect fevers on elevators to contain the spread of the virus. This agility to quickly address COVID-19 would have been much more difficult and costly had INESA not chosen Vantiq to build their system.
INESA’s clients saw immediate benefits to their bottom line as the result of moving to a real-time approach. This includes both a 50% reduction in elevator downtime and a 40% reduced cost of insurance.
By monitoring elevator system status in real time, it is much easier and faster to alert emergency personnel should a mechanical failure occur, or a threat is detected such as a person with a weapon in the building. Preventative maintenance can also be done with much finer granularity than before by bringing in powerful technologies like artificial intelligence and machine learning.