实验室AI智能体应用场景与数据需求  

Application scenarios and data requirements of laboratory AI intelligent agents

作　　者：郭春涛[1] 闫昫 Guo Chuntao;Xu Yan(Beijing Purkinje General Instrument Co.,Ltd.)

机构地区：[1]北京普析通用仪器有限责任公司

出　　处：《现代科学仪器》2024年第6期392-394,共3页Modern Scientific Instruments

摘　　要：随着实验室管理系统逐步实现智能化,人工智能(AI)技术在实验室管理中的应用越来越广泛,特别是在报告审核、任务排单、智能预警和进度预测等方面。AI智能体在这些关键领域的有效应用依赖于大量高质量的数据,这些数据涵盖了实验室全流程的各个环节,如样品制备、数据处理、设备运行和资源分配等。本文从数据需求的角度,探讨实验室AI智能体在智能审核、智能排单、智能预警和智能报告进度预测等应用场景中的关键作用。通过全面分析实验室AI智能体对数据的要求,本文阐述了数据在提升实验室效率、准确性和智能化管理中的重要性。With the gradual realization of intelligent laboratory management systems,the application of artificial intelligence(AI)technology in laboratory management is becoming increasingly widespread,especially in report review,task scheduling,intelligent warning,and progress prediction.The effective application of AI agents in these key fields relies on a large amount of high-quality data,which covers various aspects of the laboratory process,such as sample preparation,data processing,equipment operation,and resource allocation.This article explores the key role of laboratory AI agents in application scenarios such as intelligent auditing,intelligent scheduling,intelligent warning,and intelligent report progress prediction from the perspective of data requirements.By comprehensively analyzing the data requirements of laboratory AI agents,this article elaborates on the importance of data in improving laboratory efficiency,accuracy,and intelligent management.

关 键 词：实验室管理 AI智能体 智能审核 智能排单 智能预警 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]