A method and system for monitoring and early warning of experimental equipment based on artificial intelligence

An experimental device and artificial intelligence technology, applied in closed-circuit television systems, neural learning methods, alarms, etc., to achieve the effects of timely stop loss, accurate monitoring and early warning, and guarantee of personal safety

Active Publication Date: 2022-06-10
哈尔滨工业大学人工智能研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for monitoring and early warning of experimental devices based on artificial intelligence, thereby solving the aforementioned problems in the prior art

Method used

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  • A method and system for monitoring and early warning of experimental equipment based on artificial intelligence
  • A method and system for monitoring and early warning of experimental equipment based on artificial intelligence

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Embodiment

[0041] In this embodiment, the system and method for monitoring and pre-warning an experimental device by using the above-mentioned artificial intelligence, monitoring and pre-warning the laboratory, and collecting experimental basic data and monitoring video data through the data acquisition unit; the experimental basic data includes safety Monitoring data, experimental environment data, experimental equipment status data and reverse control equipment status data; wherein the monitoring video data is collected through network cameras in key areas such as the interior of the laboratory, the public area of ​​the experiment, and the office of the experimenter. The area is monitored, and the data is uploaded to the data center in real time; the security monitoring data is collected by security monitoring probes, measuring radiation intensity, etc., and this type of data is given the highest priority, which will bypass the layers of authority and go straight to the command hall for ...

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Abstract

A method and system for monitoring and early warning of experimental equipment based on artificial intelligence, judging the type of accident according to the monitoring content, and giving early warning to administrators; making auxiliary decisions and intelligent control decisions, and providing them to laboratory administrators and central control center administrators . In the present invention, the current state of the experimental equipment and the impact of abnormal experimental data on laboratory safety are considered, the monitoring range is more comprehensive, and the accuracy of monitoring and early warning is also more accurate; and artificial intelligence technology is introduced into the experimental monitoring and early warning process, On the basis of historical data, automatic warnings and auxiliary decisions can be given for accidents that have not occurred, and automatic control can be carried out in time in emergency situations, which can stop losses in time and ensure personal safety; in addition, mobile phones, smart wearable Various early warning methods such as equipment, voice alarm, and large monitoring screen can assist administrators to respond quickly.

Description

technical field [0001] The invention relates to the field of intelligent security, in particular to a method and system for monitoring and early warning of an experimental device based on artificial intelligence. Background technique [0002] In the prior art, the monitoring of high-risk laboratories is realized through the deployment structure and sensors of the laboratory. The monitoring status equipment includes: cameras, experimental environment monitoring, high-risk instrument monitoring, infrastructure monitoring, monitoring service centers, and mobile terminals; monitoring services The center tests infrastructure, high-risk instruments, experimental environments and video surveillance to monitor laboratory accidents, and transmit the test results to mobile terminals for notification and display. In the prior art, the state of the experimental equipment and the abnormality of the experimental data are not divided into the factors affecting the safety of the laboratory,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18G08B21/00G06V20/40G06V10/82G06F16/51G06N3/04G06N3/08
CPCH04N7/18G08B21/00G06F16/51G06N3/08G06V20/41G06N3/045
Inventor 谭立国宋申民鄂鹏王晓野
Owner 哈尔滨工业大学人工智能研究院有限公司
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