Facility Management – Reducing man power required to perform inspections and prevention of accidents

It has come time to reexamine the way we manage equipment at large-scale facilities. This field has already been optimized to the maximum extent possible, thus relying on the same methods is not likely to yield further efficiency gains. Furthermore, due to labor shortages [in several advanced economies like Japan] makes it harder and harder to secure the man power necessary to confirm equipment status.

Traditional facility management is heavily dependent on people. Because the impact of a failure at large-scale facilities is so serious, the maintenance structure to manage those facilities has to be quite elaborate. For example, after closing, security guards need to go to kitchen areas to physically confirm that fire hazards such as heat sources and gas mains are completely shut off.

These tasks can be replaced by IoT. Gas leaks can be detected with sensors, values from devices like gauges and meters that need to be read can be obtained using image processing. Setting up a LoRaWAN network on site allows the data to be collected and  transmitted wireless to the cloud, where a variety of visualization tools can be used to display the entire facility’s status remotely.
However, in this case, the data collecting devices would be located throughout the facility, so managing and operating them is very difficult. Using enebular makes operating them easy.

Asset Tracking – Watching over people and tracking objects

When you’re in charge of someone or something, one of the most important things for you is knowing their condition, even when they’re out of sight. Utilizing IoT technology allows you to know details of their conditions, and also allows for new services to be provided.

For example, in logistics, when we combine Global Navigation Satellite System (GNSS) and cellular Low Power Wide Area (LPWA) technologies, it is now possible to have granular data about individual pallets and containers –not just location, but also information about other in-transit conditions, such as temperature, vibrationand so on. Furthermore, if the measured data goes outside set thresholds, alerts can be sent to prevent damage, thus ensuring quality and improving customer experience.

A monitoring service based on this technology is also applicable to children, the elderly, or other at-risk groups. With the advent of the aforementioned low-power, wide-area transmission protocol, LPWA, combined with efficient battery charging technology like solar cells, it is possible to design devices that users can keep close byand are easy to handle. By applying these technologies, we are able to create long battery life “panic-button alarms” that cansend the user’s location to caregivers.

Using enebular, the same development environment can be used to write applications that run on both the edge devices (installed in containers and such) and in the cloud, where higher level data processing is done on the data collected from the edge devices. Additionally, if the devices are connected to a network, it is possible to remotely modify/change the edge-side processing, making it simple to operate on a large scale.