What is a digital and intelligent sharing laboratory?

　　definition

The digital and intelligent shared laboratory is a new laboratory model that deeply integrates digital technology and intelligent technology and applies it to the sharing and management of laboratory resources. It integrates various laboratory resources, such as instruments and equipment, experimental stations, reagents and consumables, and personnel, and realizes the efficient reservation, use, monitoring, and management of these resources through digital and intelligent means.

　　Key technical support

Digital technology

Database technology is used to store and manage various types of laboratory information. For example, the model, performance parameters, usage records, maintenance records and other information of instruments and equipment are built into a complete database to facilitate user query and laboratory management personnel maintenance.

The Internet of Things (IoT) technology is used to give a "digital identity" to laboratory instruments and other resources. By installing sensors on instruments and equipment, the operating status data of the equipment can be collected in real time, such as the temperature, humidity, and operating hours of the equipment. These data are transmitted to the management system to achieve remote monitoring of the equipment.

Intelligent technology

Apply artificial intelligence (AI) algorithms for data analysis and prediction. For example, by analyzing the historical usage data and failure data of instruments and equipment with machine learning algorithms, it is possible to predict when equipment failures may occur, schedule maintenance in advance, and reduce equipment downtime.

The intelligent reservation system is an important part of the Digital Intelligence Sharing Laboratory. It can automatically recommend appropriate reservation times and resources to users based on factors such as user permissions and resource usage, thereby improving the efficiency and rationality of reservations.

　　Features

Facilitating resource sharing

Researchers can easily make reservations for laboratory workstations, instruments and equipment, as well as reagents, consumables and hazardous chemical storage equipment through the online platform. For example, in a university's digital intelligence shared chemistry laboratory, graduate students can check the reservation status of various high-precision analytical instruments in the laboratory through a mobile phone APP in their dormitories, and then make reservations according to their own experimental plans, avoiding the trouble of having to go to the laboratory to check the reservation status in the past.

Efficient resource management

Laboratory managers can understand the usage status of resources in real time. For instruments and equipment, they can promptly understand which equipment is idle, which equipment is in use, and how long the equipment has been in use. For reagents and consumables, the inventory quantity can be accurately monitored. When the inventory is lower than the set threshold, the system automatically reminds managers to purchase.

Data-driven decision making

By collecting and analyzing laboratory resource usage data, a basis can be provided for laboratory planning and decision-making. For example, if the data shows that the reservation frequency of a certain type of instrument is too high and there are often queues for use, laboratory managers can consider increasing the number of such equipment or optimizing reservation rules to meet the needs of researchers.

　　Application Scenario

University research fields

There are numerous laboratories in colleges and universities, covering different disciplines, such as physics, chemistry, biology, etc. The digital intelligence shared laboratory model can break down the laboratory resource barriers between disciplines and promote interdisciplinary integration. For example, a research team majoring in materials science can make an appointment to use high-end analytical instruments in a chemistry laboratory to study the chemical composition of materials, while students majoring in chemistry can also make an appointment to use the preparation equipment in the materials laboratory to synthesize new compounds.

Corporate R&D Center

During the R&D process of an enterprise, the R&D department can efficiently use various experimental resources through the digital intelligence shared laboratory system. Different R&D project teams can flexibly reserve resources according to project progress and needs, avoiding idleness and waste of resources. For example, in the R&D center of a pharmaceutical company, different drug R&D teams can share expensive testing equipment such as high-performance liquid chromatography in the laboratory, reasonably arrange the use time through the system, improve the utilization rate of equipment, and speed up the process of drug R&D.

How to improve the security of digital intelligence sharing laboratories? What is the development prospect of digital intelligence sharing laboratories? Is the construction cost of digital intelligence sharing laboratories high?