Laboratory data collection and management system

Abstract

The invention provides a laboratory data collection and management system. The system comprises a laboratory data collection system, a laboratory data management system and a cloud server, the laboratory data collection system comprises an recognition module, a robot and a robot collection module, and the recognition module identifies laboratory experimenters, laboratory instruments or equipment and laboratory materials; the robot collection module controls the robot to advance, collects the data, recognized by the recognition module, of the experimenter in the experiment process or the laboratory material, obtains the collected data, and uploads the collected data to the cloud server for storage in real time; and the laboratory data management system is used for managing the acquired data. According to the laboratory data collection and management system, through application of the robot, a user can control the robot to obtain acquired data only through remote control and upload the acquired data to the cloud server for storage in real time, and different users can inquire the same acquired data through the cloud server at the same time.

Description

technical field [0001] The invention relates to the technical field of laboratory engineering, in particular to a laboratory data collection and management system. Background technique [0002] In various scientific research fields, R&D laboratories are indispensable. The collection and analysis of laboratory data in the laboratory is the basis of all scientific research work and the cornerstone of scientific and technological development. In traditional laboratories, R&D personnel record texts, tables, graphs, equations and other documents with pen and paper for follow-up research. Such a traditional recording method has low efficiency, poor data confidentiality, difficult data search, poor timeliness, and long-term data storage and management difficulties. With the development of computer technology, most laboratories currently use personal computers to record and store laboratory data. Recording and storing data in this way has better data confidentiality, convenient dat...

AI Technical Summary

Problems solved by technology

However, there are also some shortcomings in directly using computers to enter data. For example, some laboratory data need to be collected in real time, and there will be a certain time difference between the data entry time and the collection time, resulting in certain errors between the entry data and the real data; in addition , scientific researchers use computers to input data, which are generally in text format. Some experimental phenomena or experimental processes cannot be recorded and displayed intuitively in text format. This requires the introduction of other image recording equipment to obtain pictures or video files, and then use the data The data collection and entry process is very cumbersome, and the real-time performance is even worse; if the laboratory scale is large and the data entered by the researchers is large, the communication between the researchers of the same R&D team will have problems. Obstacles, unable to communicate scientific research data and progress in a timely manner

Moreover, in the fields of biological, chemical, and pharmaceutical scientific research, strict statistics and monitoring are required for the procurement, consumption, and inventory of experimental materials. The general laboratory management system cannot timely feed back this information to scientific researchers.

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