IoT and GIS
What is IoT?
Are you curious about how Alexa control the smart home system? In fact, this is because of IoT, the Internet of Things. It describes the process of connecting physical objects to the Internet. Sometimes that traffic light is long and sometimes it’s short. That is because it is connected to sensors and traffic volume logic via an internet application to adjust its timing. IoT objects collect and exchange data with other devices and systems over the internet. The concept first came up in the 1990s with large unportable chips. Nowadays, wIth the advanced technology of making tiny and less expensive chips, IoT has wide applications in different areas. Air conditioners can adjust the temperature based on internal sensors, and smart watches enable parents to check their children’s location with their positioning system. These applications demonstrate the importance of IoT and the convenience it can bring to people’s lives.
IoT uses GIS data for visualization
After physical objects connect to the internet, they can collect data in different locations more efficiently by these embedded sensors and other data processing systems. However, IoT is not sufficient for managing and visualizing data. One optimal solution is to combine IoT and GIS technology. This integration of technology enables professionals to design a complete picture with data from individual devices. The following graph explains the process of how IoT and GIS work together.
When people use products with IoT sensors, these sensors transform and store data on the IoT platform for further data processing. Then, GIS takes charge of analyzing and managing these data. In this way, professionals can visualize these data for decision-making. This combination of IoT and GIS creates a thorough system from data collection to visualization.
IoT and GIS in real-time data collection
With the support of IoT, the GIS map can act as your logic and dashboard to show what is happening where. IoT can collect these real-time data from their sensors embedded in objects and convey them to GIS platforms for analysis. In this way, professionals are able to visualize the latest data and improve the effectiveness of these data. This real-time GIS is widely used in lots of emergency management systems. For example, buildings and bridges with earthquake detective sensors can collect the most timely data. This provides professionals with essential information to make rescue plans. Also, lots of other natural disasters like tornadoes can use IoT for monitoring wind speed indicators with connected emergency alert systems for regional communities.
IoT and GIS in a smart city
Building a smart city requires lots of technology and data support. IoT sensors can be installed on vehicles so that they can collect real-time traffic situations while the driver is driving. In this way, city planners are able to optimize or plan new routes for places with serious traffic jams. Additionally, sufficient resource supply for the public is an important factor for smart city planning. For example, the government of Canadian towns of Olds installed sensors in pipes for monitoring water leaks to prevent the water shortage. They can get an immediate notice for water leaks and find these pipes due to the GIS mapping and data visualization technology. As a result, the town can save more water and citizens will not face the water supply shortage. These IoT and GIS applications in smart city design demonstrate the importance of these two technologies and the success of their integration.
IoT will require a growing number of GIS professionals
IoT is a potential emerging technology with many potential opportunities. The whole IoT market grew by over 22% in 2021. Similarly, GIS is still a growing industry that is expected to increase by $9.76B in the next three years. Today there are over 21,600 job opportunities available in various areas using GIS with an increasing amount related to IoT. This huge demand for GIS professionals signals the importance of GIS. More importantly, these successful applications of integrating IoT and GIS indicate the necessity of learning GIS for people in the IoT industry. The most efficient way to learn is through an online GIS certificate platform, such as Bootcamp GIS. You will be able to learn from industry experts that are currently working in the industry. With this type of applied GIS education, you will be competitive in IoT and other kinds of tech-related fields.