The field of calibrating the temperature field uniformity of heat treatment furnaces is constantly evolving with the rapid development of science and technology. Traditional calibration methods rely on manually arranging sensors and recording data, which are not only inefficient but also prone to human errors. Nowadays, the influx of automation and intelligence technologies has brought new vitality to the calibration work.
Intelligent temperature sensors combined with wireless transmission technology can automatically complete the collection and upload of temperature data inside the furnace without human intervention, greatly improving the timeliness and accuracy of the data. At the same time, calibration software based on big data analysis and artificial intelligence algorithms has emerged, which can quickly process vast amounts of temperature data, accurately judge the uniformity of the furnace temperature field, and automatically generate optimization suggestions to achieve intelligent decision-making in the calibration process. Looking ahead, with the gradual application of cutting-edge technologies such as quantum sensing technology and virtual reality in this field, the calibration of the temperature field uniformity of heat treatment furnaces will move towards a new stage of higher precision, more convenience and more forward-looking, injecting continuous innovative vitality into the continued prosperity of the heat treatment industry.