An industrial product intelligent decision support system and method based on big data analysis
CN117520785BActive Publication Date: 2026-06-19GONGPIN (SUZHOU) DIGITAL TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GONGPIN (SUZHOU) DIGITAL TECH CO LTD
- Filing Date
- 2023-12-21
- Publication Date
- 2026-06-19
AI Technical Summary
Technical Problem
In existing technologies, industrial equipment cannot detect problems in a timely manner during the production process, leading to decreased production efficiency and even safety hazards.
Method used
Build an industrial equipment monitoring cloud platform to obtain equipment status data through big data analysis, identify abnormal equipment, adjust production lines to achieve intelligent decision-making and scheduling, and use transport robots to transfer workpieces.
Benefits of technology
It enables intelligent determination and prediction of the production status of industrial equipment, avoids the generation of defective workpieces, and improves the intelligent scheduling capability of the production line.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN117520785B_ABST
Abstract
This invention relates to the field of industrial intelligent decision-making technology, specifically to an intelligent decision support system and method for industrial products based on big data analysis. The system includes: constructing an industrial equipment monitoring cloud platform; acquiring historical equipment status records for each piece of industrial equipment within an industrial park; analyzing the operational status of the industrial equipment; combining this with production status data of characteristic equipment to analyze the production status of each piece of industrial equipment and identify the target industrial equipment; acquiring production data of the industrial production line to which the target industrial equipment belongs within the current period; analyzing the production status of each piece of industrial equipment within the industrial production line to which the target industrial equipment belongs to obtain production scheduling data of the industrial production line to which the target industrial equipment belongs; and making intelligent decisions regarding the industrial production lines within the industrial park based on the production scheduling data of the industrial production line to which the target industrial equipment belongs within the current period, thereby adjusting the industrial production lines within the industrial park.
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