In IIoT applications, what is a common method of data gathering?

In IIoT applications, automated sensors serve as a prevalent method for data gathering. These sensors are designed to capture real-time data from various industrial processes and environments without the need for human intervention. They can monitor a wide range of parameters, including temperature, humidity, pressure, and machine performance, allowing organizations to collect vast amounts of data efficiently and accurately.

Using automated sensors aligns well with the goals of the IIoT, which emphasize real-time data monitoring and analysis to improve operational efficiency, safety, and decision-making. By automating the data collection process, industries can significantly reduce the likelihood of human error, increase the frequency and consistency of data gathering, and ensure that data is collected continuously for further analysis.

Other methods listed, such as manual entry systems and spreadsheet applications, typically involve human intervention and are less efficient for large-scale data collection in industrial settings. Social media analytics also focuses on consumer behavior and public sentiment rather than the operational data that IIoT systems require. Therefore, automated sensors represent the preferred and most effective choice for data gathering in IIoT applications.