AIMS - Intelligent Middle Platform - SHI GAO (Beijing) Intelligent Technology Co.,Ltd.

AIMS (Analytical Information Management System) is a highly integrated lab management platform. It uses traditional LIMS (Laboratory Information Management System) and QMS (Quality Management System) as its backbone, deeply combining automated sample processing control with instrument data collection, forming a complete loop that covers lab management, online analysis monitoring, quality systems, automation, and data layers.

LIMS Laboratory Management
Sample 14 full lifecycle: scan code to register → receive → test → report → sample handling
QMS Quality Management
OOS automatic trigger → deviation → CAPA → effectiveness verification fully automated closed loop, full lifecycle management of quality plans
Instrument Data Collection
40 brand-native drivers, automatic collection from GC/ICP/moisture meters, error rate <0.1%
Lab/Online Automation
Experiment data parameters are written back, unified monitoring of GC pretreatment across multiple stations, real-time aggregation of Modbus/4-20mA/OPC UA data, and instant alerts for abnormalities

Product Features

Six Core Skills

01 40 Instrument Direct Purchase
Mainstream brands such as GC / ICP / moisture analyzers have native drivers for automatic data parsing and storage.
02 OOS Automatic Closed Loop
If an over-limit is detected, a deviation CAPA is automatically triggered within ≤30 seconds, and the closure cycle is reduced from 7 days to 2 days.
03 Online Analysis Monitoring
DCS/online instrument data is collected in real time, with process parameters and quality results compared on the same screen.
04 Laboratory Automation
The whole inorganic pre-treatment process is fully automated, covering scanning → weighing → adding acid → digestion → volume adjustment → sample injection, with parameters automatically recorded.
05 Full-Chain Audit Tracking
One-click batch traceability, tracking of people, machines, materials, methods, environment, and measurements, with 6D data automatically linked (raw material batch → process parameters → online analysis → offline testing → equipment status → environmental conditions → quality release). Audit prep goes from days to minutes.
06 SPC Statistical Process Control
Real-time SPC monitoring, historical trend analysis, automatic scanning with 8 major anomaly detection rules, automatic alerts when Cpk < 1.33.

C 20 High-Performance Engine
Plugin-based architecture makes adding new instruments as easy as installing an app
Event-Driven Architecture
Real-time business linkage response, OOS trigger to notification ≤30 seconds
Smart Data Layering Engine
Hot data responds in milliseconds, full data is efficiently archived, and queries return in seconds
Management Upgrade
Unified platform, flexible analysis, improving efficiency and accuracy