3D based hospital sensing control simulation training examination system

Abstract

The invention provides a 3D based hospital sensing control simulation training examination system, which comprises an application layer, a platform layer, a transmission layer and a sensing layer; the sensing layer uses various terminals to acquire data, the data are transmitted to different platforms for processing through the transmission layer, and the terminals comprise VR equipment, a sensor of a 3D human body model and a camera; the transmission layer is used for providing the data acquired by the sensing layer to the application layer and the platform layer for reliable transmission; the platform layer is used for performing big data analysis of training and assessment, personnel identity information management and system background evaluation management; and the application layer is used for calculating, processing and mining the data acquired by the sensing layer so as to realize real-time control and accurate management of the system. According to the invention, a more effective informatization technical means is utilized, so that the training mode is more flexible, the training effect is more ideal, and many difficulties of the previously proposed sense control training examination can be solved. The system enables hospitals to play a greater role under the current large prevalence background of new coronal pneumonia.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to a 3D-based hospital sensory control simulation training assessment system. Background technique [0002] Medical personnel need to be in contact with patients when performing diagnosis and treatment, operation, disinfection and other work, so medical personnel are the main force in the spread and control of nosocomial infection. Continuously strengthening the training of hospital infection-related knowledge for staff at all levels in medical institutions is of great significance for improving the awareness of prevention and control of hospital infection among medical staff and preventing the occurrence of hospital infection. Especially in the context of the current COVID-19 pandemic, doing a good job in sensory control training and assessment is not only responsible for doctors, but also for patients. At present, hospitals urgently need a convenient se...

AI Technical Summary

Problems solved by technology

Large hospitals in some provinces and cities have piloted online training systems, but they have not given full play to the advantages of online training. On the one hand, the training videos uploaded by the system are not direct enough, and the trainees also lack timely follow-up practice settings after training, resulting in training effects. Not good; on the other hand, the online training data is currently concentrated in the cloud server, and the training video data volume is large, which puts pressure on the load and bandwidth of the cloud server. If these online systems are applied to large-scale sensory control training across the country, The effect of training will also be greatly reduced

In addition, the assessment is not perfect enough

Most of the hospital assessments use offline assessments, because the doctors themselves do not have enough time, resulting in a small number of assessment participants, low efficiency, and assessments that cannot give timely feedback on the training effect

At the same time, there is also the problem of inconsistent assessment and evaluation standards.

The survey found that most hospitals are assessed by examiners, which is relatively subjective, resulting in uneven levels of infection control knowledge among medical staff

[0004] These problems will affect the prevention and control effect of the hospital when a major infectious disease such as new coronary pneumonia suddenly breaks out, and affect the safety of medical staff and patients

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