Real-Time Calculation of Fire  Power and Fire-Extinguishing Agent Demand: Intelligent Identification of Fire  Power, Accurate Configuration of Fire-Extinguishing Agents, and Efficient Fire-Extinguishing with No Omissions

    The calculation of fire  power is a core technology for firefighting robots to achieve scientific fire-extinguishing, and it is directly related to the formulation of fire-extinguishing strategies and the rational allocation of rescue resources. For example, extinguishing a sofa fire with a power of 1MW requires a water flow of at least 24 L/min (liters per minute). Therefore, when the robot can accurately determine the power of the fire , it can quickly and precisely estimate the specific amount of water or fire-extinguishing agent needed—enabling the robot to complete fire-extinguishing tasks in a more efficient and scientific manner.

    Based on artificial intelligence (AI) and computer vision, our team has designed and developed a set of real-time fire heat release rate identification technology. By using visual spatial point cloud data, visual images, and deep learning technology, this system realizes the real-time calculation of fire  power and the optimized configuration of fire-extinguishing agents. Meanwhile, aiming at problems such as signal attenuation and data transmission delay of traditional equipment in fire environments, the team has developed a dynamic data compensation algorithm and constructed a virtual digital model of fire sites.

    This model integrates historical fire data with real-time sensor-collected information (such as temperature and gas concentration), conducting intelligent analysis and compensation for data gaps or errors. Through the dynamic modeling and real-time updating of the fire site environment, the robot’s built-in fire model algorithm can simulate the development trend of the fire, predict the future spreading direction and speed of the fire , and simultaneously assess the fire severity level. For instance, in chemical warehouse fires, the model can predict in advance whether the fire will trigger chain reactions such as explosions based on changes in flammable gas concentration and temperature gradients, providing forward-looking decision-making basis for fire commanders.

    In addition, the fire severity assessment technology is equipped with a powerful visualization function, presenting key parameters (such as fire severity level and spreading speed) through an intuitive graphical interface. At the fire site, fire commanders can view detailed information about the fire site in real time via monitor screens, including the heat map of fire intensity distribution, the predicted map of spreading paths, and the demarcation of dangerous areas. Compared with traditional decision-making methods that rely on experience, the visualized fire severity assessment data greatly reduces the subjectivity and uncertainty of decision-making. Whether responding to small fire spots or large-scale fire situations, it can help robots and firefighters quickly formulate scientific and reasonable fire-extinguishing strategies, efficiently allocate rescue resources, and minimize to the greatest extent the casualties and property losses caused by fires.