Case Study:
IoT Web Portal

Skillion created a new IoT web portal to help manage fleets of electric bicycles. The portal allows users to remotely monitor the location and status of their eBikes, as well as configure settings and manage operations.

The portal is designed to be easy to use, even for those who are not technically savvy. It provides a simple interface that allows users to manage their eBike fleets with just a few clicks.

The portal also includes a variety of features that users can take advantage of. These features include:

  • Location tracking: Users can track the location of their eBikes in real-time.
  • Battery level monitoring: The portal will notify users when the battery level drops below a certain threshold.
  • Speed limit configuration: Users can set speed limits for their eBikes, so they can ensure that they are always riding safely.
  • Route planning: The portal can help users plan out efficient routes for their eBike trips.

The IoT web portal was built with a mix of custom code and existing open source software. We used the Node.js platform for our server-side code, and used the React library for our front-end user interface. We also used the D3 library for data visualization.

We used a cellular network to connect to the devices in order to manage fleets of eBikes. This was done by creating a web portal that would allow users to access information about their bikes, as well as control certain features. We also used MQTT to send and receive data from the devices, which allowed for a more reliable connection.

To set up geofencing, we used the Google Maps API to create a polygon around our office. We then used the Geofencing API to create a geofence that would trigger when a user entered or exited the polygon. This allowed us to track when employees were arriving and departing from work.

We built the IoT web portal by using Amazon EC2. Amazon EC2 is a web service that provides secure, scalable computing resources in the cloud. We used Amazon EC2 to create a virtual machine (VM) that runs our web server. We also used Amazon EC2 to create an image of our VM, which we can use to launch new VMs quickly and easily.

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