This study developed a simulated fire response training evaluation system based on the Internet of Things to acquire training participants' initial response skills through realistic and practical fire response training, and continuously improve the response activities of training participants based on a quantitative and objective training evaluation system. With the goal of minimizing the scale of fire damage through rapid and accurate response in the event of an unexpected fire accident by establishing a research process for this purpose, developing a fire response training evaluation system based on the overall technical investigation required for research After the operation test, the evaluation system was installed in the test place, and fire response simulation training was conducted for 20 occupants. Prior to training, the evaluation system smartphone app was used to input the training date and time, and after explaining how to use the evaluation system device to the participants, the training was conducted and the results were analyzed.
 As a result, the fire response simulation training evaluation system developed in this study can produce the behavior of fire smoke and measure the time required for each response step of training participants through the system device as a quantified value, enabling quantitative training evaluation. was derived.
 Through this system development and operation experiment, 1) it is possible to implement a fire training situation similar to an actual fire situation using the fire initial response training evaluation system, and 2), it is possible to evaluate fire training quantitatively by response stage, based on the results As a result, future training feedback and continuous improvement activities are possible, and 3) training participants can learn accurate response behaviors, and evaluation can be objectively and quantitatively measured.