THESIS
2021
1 online resource (viii, 48 pages) : illustrations (chiefly color)
Abstract
The laboratory is the forefront of humanity in science, and a bridgehead for exploring
the unknown. While researchers are diligently working in it, laboratory management
and safety have also become an important topic. Nowadays, the development of
wireless communication technology and Internet of Things technology has provided
the possibility of changing laboratory safety management from static and manual to
real-time and automatic. Starting from the actual needs of researchers, how to integrate
sensing and communication technology into the system while considering low power
consumption, user-friendliness, scalability, and stability, is the main challenge of this
work. Here in, a laboratory safety management system is proposed, which uses weight
sensing and RFID technology to monitor the...[
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The laboratory is the forefront of humanity in science, and a bridgehead for exploring
the unknown. While researchers are diligently working in it, laboratory management
and safety have also become an important topic. Nowadays, the development of
wireless communication technology and Internet of Things technology has provided
the possibility of changing laboratory safety management from static and manual to
real-time and automatic. Starting from the actual needs of researchers, how to integrate
sensing and communication technology into the system while considering low power
consumption, user-friendliness, scalability, and stability, is the main challenge of this
work. Here in, a laboratory safety management system is proposed, which uses weight
sensing and RFID technology to monitor the use of chemicals in experiments, and uses
gas sensing and sensor network technology to detect and locate hazardous gas leaks.
Compared with traditional laboratory safety management solutions, this system
provides 24-hour uninterrupted monitoring of hazardous chemicals. Automated
operation decreases researchers' manpower consumption, and a user-friendly interface reduces users' learning costs. The data obtained by the system can become an important
database for the next step of experiment automation, which is of great significance to
laboratory robotization. This success has a wide range of application scenarios, can be
quickly commercialized and industrialized, and will become an important part of the
future smart laboratory.
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