Research On A Visual Intelligent Fire Rescue Decision-making Platform

Aiming at the technical bottleneck problems existing in the current domestic and foreign fire rescue platforms,such as the number of trapped personnel is not clear and difficult to locate,the development trend prediction of building fire is not accurate,and the interaction between the fire scene and the command center is not timely,this paper carried out the design and research work of the Visual Intelligent Fire Rescue Decision Platform based on the excellent characteristics of LoRa wireless sensor network.The use of building information model BIM technology has the advantages of visualization and easy function expansion through the Revit API,and FDS can accurately predict the development trend of fire development.This research has realized the integrated design of building information model and fire dynamics simulation,and proposed the design and simulation verification of the integrated rescue decision-making platform integrating indoor wireless positioning function and visual optimal path planning.According to the complex evacuation environment of trapped people and many interference factors in building fires,this paper proposed the method of combining the artificial neural network of mind evolution algorithm(MEA)and the received signal strength indication(RSSI)of LoRa to realize the accurate personnel positioning in the built experimental site(25m?25m?5m),with the positioning accuracy of 0.2m.In view of the difficulty of predicting the development trend of indoor fires,this study proposed a way to retrieve a similar FDS case database to realize the real-time estimation of the fire development situation of the field command center.For the disadvantages of trapped personnel in fire hazard environment that is likely to cause invalid evacuation or repeated evacuation,this paper realized the effective combination of Dijkstra pathfinding algorithm and BIM technology.The function and algorithm of the decision-making platform are verified by the simulation experiment environment,and the scheme of contrast experiment is adopted.The experimental results prove that the platform can realize the real-time adjustment of the evacuation route according to the fire development situation in the complex fire environment,and provide a reasonable solution for the safe evacuation of the trapped people.To sum up,this study verifies that the intelligent visual fire rescue decision-making platform proposed in this paper has high positioning accuracy,accurate planning path,fast system response and other performance indicators.