Intelligent management and control system and method suitable for ship fire safety and computer medium

Abstract

The invention provides an intelligent management and control system suitable for ship fire safety, and the system comprises: an application layer which provides an information visualization model on a unified digital platform through a plurality of visual monitoring modes and a multi-information interaction mode; a service layer which performs cloud computing and edge computing through an information visualization model provided by the application layer to achieve intelligent sensing, control and auxiliary decision making, and establishes various databases, prediction and simulation models; and an infrastructure which is accessed to the unified digital platform and transmits real-time data to the service layer for cloud computing or edge computing to judge the disaster probability and quantify the disaster scale. According to the system and method, traditional fire detection, video monitoring, equipment state monitoring and indoor positioning are fused, multiple intelligent sensing means are provided, disaster types such as fire and abnormal events are identified, basic data support is provided for disaster sensing and path planning, equipment operation and maintenance monitoring and disaster risk prediction are incorporated into ship fire safety management, faults and hidden dangers can be found at an early stage, and precautions are taken.

Description

technical field [0001] The invention relates to the technical field of ship fire safety, in particular to an intelligent management and control system, method and computer medium suitable for ship fire safety. Background technique [0002] At present, the means of obtaining ship fire safety information is single, the acquisition efficiency is not high, the information is not intuitive, not comprehensive, the degree of information fusion is low, and the degree of intelligence is not high. The crew's judgment on the fire safety situation mainly relies on experience and theoretical knowledge. The monitoring and alarm data are scattered and the degree of visualization is not high. It is difficult to clearly grasp the disaster situation, and their intelligence and psychology are facing severe challenges. Although the ship's basic facilities such as fire detection, alarm, and control are relatively complete, each equipment, fire system and other systems operate independently, or, ...

AI Technical Summary

Problems solved by technology

[0004] Although the above-mentioned fire-fighting smart wearable devices, cloud platform services, Internet of Things, remote fire-fighting monitoring, 3D visualization, and image fire detection technologies can improve the level of fire-fighting supervision and management to a certain extent, they lack quantification of fire scale, dynamic display of disaster scale, and real-time fire risk prediction. , path planning, collaborative operation, auxiliary operation and maintenance, training drills, and auxiliary rescue. There is no dynamic display of disaster, fault prediction information, status, and risk assessment information. Machine vision technology cannot be used to identify fire images, The combination of abnormal event discrimination, visibility recognition and personnel density analysis is applied to auxiliary decision-making such as fire type, probability, fire scale quantification, fire and abnormal early warning and alarm, on-site environmental perception, path planning, etc.

Images