Nofel Intelligent Laboratory Management System AI Functions

　　The Nuofei'er Intelligent Laboratory Management System deeply integrates AI technology, and its functions cover multiple fields such as safety management, instrument and equipment management, and environmental monitoring. The specific AI functions are as follows:

　　Safety behavior monitoring: Utilizing AI machine vision technology, it captures personnel behavior in real - time through cameras. It can accurately identify violations in experimental operations, such as not wearing lab coats correctly, illegal entry, etc. It can also monitor personnel status in real - time through situational awareness and predict accident risks. For example, when it detects a person falling, it realizes the transformation from "post - event tracing" to "pre - event prevention", effectively reducing the risk of laboratory safety accidents.

　　Fire warning: Based on AI machine vision technology, it can monitor the laboratory in real - time, detect fire hazards in a timely manner and issue warnings, providing protection for laboratory fire safety and reducing losses caused by fire accidents.

　　Instrument and equipment management: Through the real - time data collection devices, it collects the indicator light data and current data of instruments. Using AI algorithms to conduct in - depth analysis of these data, it can accurately grasp the working status of instruments, such as normal operation, standby or abnormal, providing a reliable basis for instrument maintenance. At the same time, the system can also collect video data during instrument operation. Using intelligent algorithms to judge whether the operation exceeds the reservation scope and whether the operation specifications meet the requirements. If there is a violation, it will quickly issue a reminder to ensure the safety of instrument use and experimental specifications.

　　Optimized reservation and allocation: It has the patent for the "Reservation and Allocation System and Method for Shared Open Laboratories Based on Weighted Scoring Algorithm". It can comprehensively consider the basic information and historical usage behavior of applying users, conduct intelligent analysis through AI algorithms, reduce human intervention, ensure the fairness and scientific nature of the allocation of shared open laboratories, and prevent the long - term occupation of laboratory resources by some users.

　　Intelligent data analysis: By using AI algorithms to analyze data such as laboratory equipment utilization rate and energy consumption trends, it provides decision - making support for laboratory managers, helping them optimize resource allocation. For example, it can formulate more reasonable maintenance plans according to equipment usage frequency and develop sharing strategies for equipment with high idle rates, achieving cost reduction and efficiency improvement.

　　Intelligent decision - making support: Deepening the integrated application of AI algorithms and digital twin technology, it develops an intelligent decision - making system for laboratories, realizing the leap from "perception" to "prediction". Through the comprehensive analysis and processing of various laboratory data, it provides intelligent decision - making suggestions for laboratory operation and management. For example, according to the progress of experimental projects and resource occupation, it can intelligently recommend the best experimental plan and resource allocation method.