Authors:

Nicolas Rendon Arias

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

Obtaining and storing a large amount of historical data from sensors automatically is important to achieve efficiency in agricultural industry and electrical networks. Thus, it is desirable to have a graphical user interface accessible through the web to display real-time sensor data and analyze this information over time for predictive purposes. Displaying large amounts of data through the web easily is a challenge. The system needs to connect to multiple devices, each one with a specific geographical location, and handle several measurements per minute. LoRa technology was chosen due to its long communication range and ability to manage multiple transmitting devices without relying on an internet connection. The HTTP protocol was chosen to connect a ChirpStack server with a Web application developed using Angular (a Node.js framework). Ngx-chart (an Angular open-source library) and the Google Maps API were also integrated to visualize historic data through graphs and display device locations on maps. The combination of these technologies made it possible to create a website where gauges, line graphs and maps interact with each other achieving an important objective: display current and historical data from any type of sensors (voltage, temperature, etc.) for monitoring and predictions. The dashboard will be used for multiple Internet-of-Things (IoT) projects, in this case, electrical networks and agriculture. Keywords: Internet of Things; Remote Sensing; Wireless Communications; Sensors

Source:

Purdue University / 2024

Topics:

No topics listed

Co-authors:

Nicolas Rendon Arias