- 商品名: BEVS Intelligent Laboratory Digital Platform (LIMS)
概要/製品紹介
As people's awareness of product quality increases, inspection and testing data now require stricter scrutiny than ever before, making it a key focus in the management of compliant laboratories. Selecting an excellent Laboratory Information Management System (LIMS) and successfully implementing it is an essential step toward enhancing the overall quality management level of a laboratory.
BEVS Intelligent Laboratory Digital Platform is designed for the entire laboratory environment, serving as a computer application system for the comprehensive management of all resources — personnel, instruments, samples and materials, methods and standards, as well as environment and communications. It forms a complete inspection management and product quality monitoring system, meeting the daily management needs while ensuring strict control and management of inspection and analytical data.It can fully optimize laboratory inspection management, significantly improve work efficiency and productivity, and enhance the level of quality control.
特長/機能
- Operations Management
Laboratory order tasks management, Customer information management, Contract quotation management, Order tracking progress management, Laboratory personnel management
- Environmental Management
Management of Laboratory temperature and humidity, Air quality, Waste emissions (Industrial Wastewater, Gas, and Solid Waste), Lighting, Broadcasting systems, Remote monitoring management, and VR laboratory management.
- Material Management
Laboratory office supplies management, Test consumables and reagents management, Sample entry and tracking
- Instrument Management
Equipment remote operation, Equipment real-time monitoring, Laboratory equipment maintenance, Equipment health monitoring
- Report Management
Standard report template management, Report generation management, Report signature authorization, Report sending and receiving management
Data Management
Business big data analysis, Environmental big data assessment, Material data analysis, Equipment data analysis, Experimental performance big data analysis, Report statistical analysis, Report result big data analysis
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