International Journal of System Assurance Engineering and Management Pub Date : 2021-02-10 , DOI: 10.1007/s13198-021-01065-3 Yifang Gao
To further improve the use efficiency of laboratory equipment, and carry out intelligent monitoring and management of laboratory equipment, based on the design concept of artificial intelligence, a set of laboratory monitoring products for the 6G Industrial Internet of Things (IIoT) field are designed. The main framework of this product is mainly composed of three parts: information control part, information summary transmission part and information monitoring and storage part. Among them, the information control part can intelligently collect the basic data of the laboratory, and monitor the laboratory equipment and environment intelligently. It is mainly composed of local sensor network, field controller network, and local management center; the information summary transmission part is responsible for collecting, forwarding and monitoring data, and the core component is the intelligent Internet of things (IoT) gateway; the information monitoring and storage is responsible for transmitting the data to the cloud server to realize the remote intelligent monitoring function of the system. In this exploration, it is applied to the daily management of an automation laboratory. The results show that the system can effectively realize the real-time and remote monitoring of laboratory equipment, and complete the daily monitoring and management. However, the system still has some problems, such as slow running speed when it is used for the first time, which will be further solved by optimizing the system and other means in the future. The products in the field of IIoT based on artificial intelligence discussed in this exploration have important reference value for the monitoring of laboratory equipment.
中文翻译:
使用人工智能方法在6G工业物联网上设计产品创意
为了进一步提高实验室设备的使用效率,并对实验室设备进行智能监控和管理,基于人工智能的设计理念,设计了一套用于6G工业物联网(IIoT)领域的实验室监控产品。该产品的主要框架主要由三个部分组成:信息控制部分,信息摘要传输部分和信息监视和存储部分。其中,信息控制部分可以智能地收集实验室的基本数据,并智能地监视实验室设备和环境。它主要由本地传感器网络,现场控制器网络和本地管理中心组成;信息摘要传输部分负责收集,转发和监视数据,核心组件是智能物联网网关。信息监控和存储负责将数据传输到云服务器,以实现系统的远程智能监控功能。在本次探索中,它被应用于自动化实验室的日常管理。结果表明,该系统可以有效地实现实验室设备的实时和远程监控,并完成日常的监控和管理。但是,该系统仍存在一些问题,例如首次使用时运行速度较慢,将来会通过优化系统和其他方式进一步解决。