Campus security risk prevention and control method, system and device and storage medium
A security risk and campus technology, applied in the field of risk analysis, can solve problems such as not combining intelligent inspection data and external data, restricting the comprehensiveness and timeliness of school security work, and being unable to effectively arrange security work, so as to achieve convenient semantic understanding The effect of knowledge management, reducing data preparation and calculation time, and saving calculation amount
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Embodiment 1
[0060] Such as figure 1 As shown, this embodiment provides a method for campus security risk prevention and control. This embodiment uses the method applied to a server as an example for illustration. It can be understood that this method can also be applied to terminals, and can also be applied to terminals and Server and system, and realized through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or it can provide cloud services, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security service CDN, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., b...
Embodiment 2
[0107] This embodiment provides a campus security risk prevention and control system.
[0108] A campus security risk prevention and control system, comprising:
[0109] The knowledge map building module is configured to: create entities with campus security as the core, evaluate the relationship between entities, determine the type of relationship between entities, and build a knowledge map for campus security prevention and control;
[0110] A network building module configured to: build a convolutional neural network based on campus risk control points and personnel entities;
[0111] The prediction module is configured to: obtain real-time image and video data, combine the knowledge map of campus security prevention and control, and use the trained convolutional neural network to predict whether there is a campus security problem; if so, start the prevention and control measures.
Embodiment 3
[0115] This embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the campus security risk prevention and control method described in the first embodiment above are implemented.
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