Chromatographic analysis system, chromatogram detection and analysis method and electronic device

A chromatographic analysis system based on a dual-database architecture, comprising:

• a data acquiring unit, which is configured to acquire raw data generated by a chromatographic analysis instrument;
• an analysis processing unit, which is configured to analyze the raw data based on the analysis operation configured by a user to obtain analysis data;
• a storing and managing unit, which is configured to store raw data and analysis data, and store method parameters and management data of the analysis system;
• a client unit, which is configured to provide the interactive interface of the system to the user;
• an intelligent auxiliary unit, wherein the intelligent auxiliary unit comprises an intelligent diagnosis module, and the intelligent diagnosis module is configured to automatically analyze and diagnose instrument faults, generate diagnosis reports and solution suggestions, so as to help users troubleshoot
• wherein the storing and managing unit comprises a first database for storing raw data and analysis data and a second database for storing method parameters and management data of the analysis system;
• wherein the intelligent auxiliary unit further comprises an intelligent chromatographic expert system module, and the intelligent chromatographic expert system module is configured to assist users in method development and realize method recommendation and intelligent method matching functions;
• wherein the intelligent chromatographic expert system module comprises:
• a method intelligent recommendation sub-module, which is configured to perform intelligent diagnosis and parameter recommending on a set method parameters when the user establishes an analysis method;
• an application knowledge base sub-module, which has an industry standard data, national standards and pharmacopoeia method data used in an industry built therein, and is configured to provide the user with a local knowledge base query function;
• an intelligent interaction sub-module, which is configured to push a relevant auxiliary prompt to the user when the user performs interactive operation;
• a gradient method optimization sub-module, which is configured to provide gradient optimization method suggestions to the user when an analysis results are not satisfactory.