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1. Remote Access and Operation Cloud laboratories allow users to remotely access laboratory equipment and instruments via the internet. Regardless of the researcher’s location, they can operate the equipment in real-time as long as they have an internet connection. This flexibility enhances work efficiency by removing the limitations of physical lab locations. 2. Automation and Intelligence of Equipment Equipment in cloud laboratories is typically equipped with automation systems, centrally managed and controlled through cloud platforms. This reduces human errors and improves the precision and reproducibility of experiments. For example, automated chemical analyzers, temperature control systems, and data collection devices can all be monitored and adjusted via the cloud. 3. Data Storage and Analysis Experimental data is stored in the cloud, making it easier to manage and back up. Advanced data analysis can also be performed using cloud computing, leveraging tools such as machine learning and AI algorithms to process and explore large amounts of experimental data in real-time. 4. Collaboration and Sharing Cloud laboratories enable researchers from different locations to share experimental data and progress in real-time, facilitating team collaboration. Every step of the experiment can be transparent on the cloud platform, allowing researchers to review results, adjust parameters, or design new experiments collaboratively. 5. Resource and Cost Savings Cloud laboratories reduce the need for costly equipment purchases and maintenance, as equipment and software are available on-demand, significantly lowering research costs. The cloud platform can also allocate resources efficiently, avoiding waste of resources. 6. Experiment Security and Compliance Cloud laboratory systems are typically equipped with robust security mechanisms to protect experimental data privacy and ensure compliance. For example, encryption technologies in data transmission and storage, as well as permission management systems, ensure the safety and confidentiality of experimental data.