As a core place for scientific research and teaching, the importance of the laboratory is self-evident. Due to the openness and diversity of university laboratories, safety management is particularly important. The safety management of university laboratories is not only the basis for ensuring the quality of scientific research and teaching, but also an important part of campus safety. Once a safety incident occurs, the consequences are unimaginable. Therefore, strengthening the safety management of university laboratories is not only responsible for the life safety of teachers and students on campus, but also a guarantee for the safety of school property.
In view of the safety supervision needs of university laboratories, we can combine the intelligent analysis gateway V4 with the first-class monitoring and management platform easyCVR ** supervision system to assist colleges and universities to establish an intelligent, comprehensive and visual laboratory supervision process, and transform the manual supervision mode of the laboratory into a more intelligent and efficient management mode based on information technology.
By using the AI recognition capability of the intelligent analysis gateway V4 and the convergence management capability of EasyCVR, it can not only monitor the situation of the laboratory in real time, but also detect whether there are personnel in the laboratory who are not wearing safety protective equipment, whether there is exposure to hazardous chemicals, whether there are abnormal situations, etc., which can not only improve the efficiency of laboratory management and ensure the safety of use, but also effectively ensure the stable development of teaching and experimental activities.
1. Face access control
Face access control equipment is installed at the entrance and exit of the laboratory, which can be used to manage the entry and exit of personnel, and the face recognition comparison algorithm of Tsingsee intelligent analysis gateway V4 can be used to realize identity verification and access. The access control device interacts with the software platform and edge hardware through the network, and uses AI face recognition to control the entry and exit of personnel in the laboratory, and can detect illegal entrants or unauthorized personnel in time to ensure the safety of the laboratory.
2. Laboratory use management
Using the built-in algorithm model of the intelligent analysis gateway v4, it can automatically identify regional intrusion, perimeter intrusion, regional overcrowding, regional personnel statistics, regional number abnormality, area wandering and other behavior detection, timely detect abnormal behaviors and capture and alarm, and the system can prompt alarm messages through pop-up windows and sounds to remind managers to view and deal with them in time.
In addition, some laboratories have strict requirements for the dress code for personnel to enter, and AI detection algorithms can detect whether personnel are dressed in accordance with the requirements in real time. The intelligent analysis gateway V4 can also automatically identify the standardized dress behavior of the personnel in the laboratory, such as mask wearing, uniform, protective clothing, protective hat and hat wearing detection, etc., if a violation is detected, it will give real-time alarms, capture and record, which is conducive to the efficient supervision of the laboratory by management personnel, ensures the orderly and standardized use of the laboratory, and can reduce potential safety hazards.
3. Laboratory environment monitoring
The laboratory is equipped with intelligent hardware such as IoT sensors and connected to the intelligent analysis gateway V4 management platform, which can monitor the temperature, temperature and humidity, electrical (power failure), air quality parameters, oxygen, carbon dioxide, acetylene, ammonia, chlorine, organic volatiles and other gas concentrations, laboratory negative pressure, positive pressure data, etc., when the data is abnormal, the alarm will be triggered immediately and reported to the platform, which is convenient for managers to intervene in time.
1) Pyrotechnic identification.
Based on the smoke sensor, temperature and humidity sensors and surveillance cameras in the laboratory, the AI smoke recognition algorithm can detect smoke, flames and other potential safety hazards in real time, and once an abnormality is found, the alarm will be activated immediately.
2) Gas, temperature and humidity monitoring.
Monitor the conventional gases (such as oxygen, carbon dioxide, nitrogen, etc.), toxic gases (such as carbon monoxide, sulfur dioxide, etc.), and combustible gases (such as methane, ethane, ethylene, etc.) in the laboratory, and when their concentration exceeds the early warning standard value, it will automatically alarm and start the corresponding protective measures. In each important part of the laboratory, install temperature and humidity sensors (with liquid crystal display), and once an abnormality is found, the alarm will be activated immediatelyWhen the temperature and humidity in the laboratory exceed the warning value, the alarm will be triggered immediately.
4. Real-time monitoring
Deploy surveillance cameras in and around the laboratory and access the intelligent analysis gateway V4 and EASYCVR security monitoring system, through which the laboratory can be remotely supervised and managed. The easyCVR platform can provide the best monitoring, first video, video playback and storage, alarm, voice intercom, PTZ control, platform cascade, disk array storage, first centralized storage, cloud storage and other rich capabilities, which is convenient for managers to visualize the supervision of the laboratory and access to the data.
The safety management method of university laboratories using AI intelligent analysis gateway V4 intelligent identification technology and EasyCVR** convergence platform can effectively improve the safety and management efficiency of laboratories. Through real-time monitoring, intelligent identification, early warning of dangerous events, data analysis and prevention, remote monitoring and management, etc., it can help university laboratories achieve more intelligent and safe management.