In the context of monitoring the temperature of a container, sensor data is the most appropriate type of telemetry to use. Sensor data specifically refers to information that is collected directly from sensors, which are designed to measure specific physical conditions, such as temperature. This data consists of raw measurements that can provide real-time insights into the environmental conditions within the container, allowing for effective monitoring and management.
Using sensor data allows developers and operators to track temperature fluctuations, ensuring that the container maintains the desired conditions, which is critical for the integrity of the contents. This type of telemetry is crucial in scenarios such as supply chain management, where temperature-sensitive goods need to be kept within specific ranges.
While properties and events can also play roles in telemetry and data monitoring, they do not directly refer to the specific continuous measurements being taken by sensors. Properties are often used to describe the characteristics or configurations of an IoT device, while events typically represent discrete occurrences in a system, such as alarms or status changes. In contrast, sensor data focuses on ongoing measurements like temperature, making it the most relevant choice for monitoring that specific condition.