Industry 4.0 is dependent on electronic communication between different systems, and the Internet of Things (IoT) fulfills that need. The data transmitted to, from and between devices via the Cloud enables human-free decision making with the goal of becoming more accurate, efficient and productive.
Let’s apply this principle to digital mapping. Map data is needed to display a map. The specific use case must be able to retrieve the map data in order to create the display. The device upon which the map is accessed must be able to translate the data and images so end users can manipulate them as needed. This all happens seamlessly and electronically by leveraging Cloud-based data and storage, not unlike the communication between smart equipment on a shop floor.
Taking it a step further, map data is also dependent upon the IoT to maximize digital map functionality. The ability to accurately sense roads, for example, is critical for fleet management apps or any other use case dependent upon road data.
The rise of autonomous vehicles also relies heavily upon the IoT and Cloud-based data use and storage to enhance machinery capabilities that are independent of human intervention. For manufacturers, this means equipment such as cranes and trucks that can independently accept shipping containers from ships. On the road, autonomous vehicles continue to proliferate. As a leader in location technology, HERE has become a thought leader in driverless vehicles by introducing their Highly Automated Driving (HAD) technologies. HAD blends artificial intelligence and smart vehicle functionalities to arrive at mapping solutions that provide a safer, more enjoyable experience since the vehicle can electronically interpret, understand and react to its environment.
Today's sophisticated, low-cost sensors can collect a variety of spatial data in real time, including location and time information. These sensors send information about objects or people and connect to homes, organizations, and other locations, allowing for that object or person to be tracked in real time.
The possibilities are impressive. With this data, real-time maps can be created that have various analyses applied to aid in all manner of decision-making. As an example, spatial data collected from sensors within buildings could make it possible to respond faster or more accurately to a real-time event, such as a natural disaster or attack; secondary data enhances the usefulness of the data. Using the example of an attack, data from sensors that track a community's first responders could be integrated with secondary data collected from building and other sensors, making it possible to integrate the two sets in real time to help ensure the most appropriate response - and the more sensors, the more accurate and potentially valuable the location information.
As demonstrated above, the Cloud is pivotal in distributing data that enables interconnected communication, but it also provides a near-infinite amount of data storage. Given that digital mapping solutions are often robust, this is a clear advantage for those GIS professionals and app developers who choose to use APIs, since all related data is Cloud-based. In addition to streamlining processes, integrating Cloud-based storage solutions could provide significant cost savings over in-house storage and maintenance of map data — as fleet management software developer GFI Systems, Inc. found out when they switched to the HERE APIs. (Read the case study).
The IoT has undoubtedly changed the game and will continue to do so as technologies advance. Embracing it is not really an option - it's a necessity moving forward, but it’s not necessarily a universal solution. To ensure your digital map adds value and delivers to user expectations, you need to align the digital map format with your needs. Determine which solution is right for you using the helpful tip sheet, Should I License Map Data Or A Map API Platform? Click the button below to access your copy now.