Fire alarm management level evaluation method and system based on IMODE hierarchical evolution algorithm

The invention discloses a fire alarm management level evaluation method based on an IMODE hierarchical evolution algorithm, and the method comprises the following steps: calculating the values of the reliability and fault rate of each type of fire detector according to a fault fire alarm list and historical alarm data set data provided by a fire protection management mechanism; establishing a BP neural network model considering regional features; providing a defect data set for the fire-fighting management mechanism, and executing complementing operation; designing a layered index system; comprehensively evaluating the management level, and introducing an IMODE hierarchical evolution algorithm; and listing the score condition of each fire-fighting team in each evaluation layer, and feeding back the score condition to each fire-fighting team. According to the method, the intelligent research and judgment model of the regional alarm component type is established through the BP neural network, so that the time c