Individual complex relationship-based supervision place safety early warning method and device
A safety warning and individual technology, applied in the field of safety production, can solve problems such as ignoring safety warning and prevention
Active Publication Date: 2021-09-14
浙江警官职业学院 +4
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Problems solved by technology
[0003] However, the current security precautions often focus on unilateral security inspections and risk prevention, while ignoring security warnings and precautions that combine multiple factors in a wide range
Method used
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[0032] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.
[0033] For safety warning and prevention combined with multiple factors in a wide range, the application occasions may be in factories, assembly places, schools, prisons, etc., and this embodiment is uniformly described in terms of supervisory places. The prior art generally focuses on the overall features in the supervision area, and performs safety warnings by learning the overall features. However, the overall feature extraction is not easy to accurately describe in practical applications, so the accuracy of security warning is low.
[0034] However, it is relatively easy to obtain the...
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The invention discloses a supervision place safety early warning method and device based on individual complex relations, and the method comprises the steps: obtaining time snapshots of all individuals in a time window, carrying out the time information fusion through employing a CNN convolution neural network, obtaining a relation matrix between individuals and a time individual information representation matrix through employing a first GCN graph neural network, and carrying out the time information fusion through employing a second GCN graph neural network, and fusing the space risk, so individuals with space similarity can mutually and cooperatively learn, and the similarity of the space dimension can be obtained through the weight matrix obtained through learning; fusing the relationship between the region and the individual by adopting a second GCN graph neural network, so the risk index transits from the individual to the region; and fusing the risk information of the region into the overall risk by adopting a third GCN graph neural network through the relationship between the overall and the region so as to predict the overall risk of the next time period. According to the technical scheme, various relations are fused, and the overall risk can be accurately predicted.
Description
technical field [0001] The application belongs to the technical field of production safety, and in particular relates to a safety early warning method and device for supervision places based on complex relationships among individuals. Background technique [0002] Safety has always been an important part of production and social stability. Failure to pay attention to safety will often bring huge costs. Safety is not only reflected in safe production, but also in all aspects of social life, such as fire safety, traffic safety, handling of dangerous goods, public security, stampede incidents and so on. How to warn and eliminate potential safety hazards has always been the top priority. [0003] However, the current security precautions often focus on unilateral security inspections and risk prevention, while ignoring security warnings and precautions that combine multiple factors in a wide range. Contents of the invention [0004] The purpose of this application is to prov...
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Patent Timeline
Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/04G06N3/08
CPCG06Q10/04G06Q10/0635G06N3/049G06N3/08G06Q50/265G06N3/045Y04S10/50
Inventor 孙培梁林枫王军余韦钟云伟斯越薪张志明
Owner 浙江警官职业学院