Fire hazard assessment method, device and equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a fire hazard assessment method, device and equipment and a computer readable storage medium. The method comprises the steps of obtaining building informationof a to-be-evaluated building; performing propositional logic-based judgment on the building information of the to-be-evaluated building and pre-stored knowledge in a knowledge base through a knowledge reasoning engine to obtain a judgment result; and generating a fire hazard assessment report according to the judgment result. In this way, the fire hazard of the building can be intelligently found, meanwhile, the labor cost is reduced, the consistency of program behaviors and manual expert experience is easily guaranteed, and the maintenance is convenient.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of fire protection, and more specifically, to a fire hazard assessment method, device, equipment, and computer-readable storage medium. Background technique [0002] The supervision and prevention of fire hazards in crowded places, flammable and explosive dangerous goods places and other places prone to fire have always been the key supervision objects of fire supervision. [0003] The existing development process of the auxiliary decision-making function is that the experts first convert the manual experience into documents, and then the programmers understand the documents according to the experts, and use the computer programming language (such as JAVA language) to convert the manual expert experience into computer programs to realize fire hazards. Evaluation of computer-aided decision-making capabilities. [0004] However, because general fire experts do not have programming knowl...

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Problems solved by technology

[0004] However, because general fire experts do not have programming knowledge, it is difficult to judge the consistency between the programs written by programmers and the experience of human experts, so only programmers can be relied on to ensure the consistency of program behavior and human expert experience

At the same time, because programmers often do not have a deep understanding of the industry, it is difficult to ensure the consistency of program behavior and human expert experience

Therefore, it is easy to lead to the phenomenon that the computer-aided decision-making conclusion is inconsistent with the artificial conclusion.

Moreover, the maintenance cost of the above-mentioned method is also relatively high. When the existing experience needs to be modified, or new artificial experience is added, it is necessary to modify or rewrite the computer program

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