Fire-fighting operation and maintenance stage personnel anomaly detection device based on semantic model

Abstract

The invention provides a fire-fighting operation and maintenance stage personnel anomaly detection device based on a semantic model. The device comprises a video processing module, a behavior judgmentmodule, a domain model extraction module, an operation and maintenance semantic model construction module, an abnormal behavior check module and a user interface module, and the video processing module is used for obtaining local video streams or live video stream information in an RSTP format; a server intercepts a video frame from each video stream at regular time, creates a working space to store the video frame and records a video frame timestamp and a video source; the behavior judgment module is used for realizing judgment of personnel behaviors in the image; the domain model extractionmodule is used for realizing sub-model extraction in the fire-fighting operation and maintenance field; the operation and maintenance semantic model construction module is used for constructing a fire-fighting operation and maintenance semantic model; the abnormal behavior checking module is used for checking spatial elements with abnormal behaviors in a building, and the user interface module isused for providing a function interface outwards. According to the device and the detection method, the functions of personnel behavior judgment, domain model extraction, operation and maintenance semantic model construction, abnormal behavior inspection and the like are realized.

Description

technical field [0001] The invention relates to the detection of abnormal behavior of personnel in the fire protection operation and maintenance stage, which is a method and means for automatically detecting the normative behavior of personnel in the operation and maintenance stage, and is applied to the construction operation and maintenance stage, especially relates to a semantic model-based detection of abnormal personnel behavior in the fire protection operation and maintenance stage Apparatus and methods. Background technique [0002] Fire safety protection is an important goal of social security. With the rapid increase of urban volume, safety accidents occur frequently. In recent years, there have been many large-scale fire accidents in various places, causing a lot of human and economic losses. The safety guarantee in the fire operation and maintenance phase is mainly responsible for the fire departments in various places. According to the relevant regulations of f...

AI Technical Summary

Problems solved by technology

However, the current automatic detection on the BIM model is aimed at the static BIM model, and does not involve personnel and behavior information in the operation and maintenance phase

Personnel anomaly detection in the fire operation and maintenance phase is a problem with strong real-time and dynamic requirements, and the current BIM model detection method cannot be directly applied

Images