With the development of science and technology, temperature measurement systems with multi - sensor fusion have gradually emerged, providing new solutions for more accurate and comprehensive temperature measurement.
The multi - sensor fusion system combines different types of temperature sensors, each with its own unique advantages. For example, integrating a thermocouple thermometer, a thermal resistance thermometer, and an infrared thermometer into one system. The thermocouple thermometer is suitable for high - temperature measurement and has a wide measurement range. The thermal resistance thermometer has high precision and good stability in the medium - low temperature range. The infrared thermometer can achieve non - contact and fast measurement. In a complex industrial environment, this fusion system can make full use of the strengths of each sensor. Near the furnace in the metallurgical industry, the high - temperature part can be measured by the thermocouple thermometer, while for the ambient temperature and the temperature monitoring of some key equipment, the thermal resistance thermometer and the infrared thermometer can play a role to obtain more comprehensive and accurate temperature information.
This fusion system can also improve the reliability and fault - tolerance ability of the system. When one sensor fails, other sensors can continue to work to ensure uninterrupted temperature measurement. And through data fusion algorithms, the data collected by different sensors can be comprehensively processed. For example, using algorithms such as weighted average method and Kalman filtering, the temperature data measured by different sensors are fused to eliminate data uncertainty and errors and improve the accuracy and stability of the measurement results.
In the medical field, temperature measurement systems with multi - sensor fusion are also widely used. For critically ill patients, both contact and non - contact temperature sensors can be used simultaneously to comprehensively evaluate the patient's body temperature, avoid misdiagnosis caused by single - sensor failure or measurement error, and provide more reliable body temperature data support for the patient's treatment.
