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Industrial Manufacturing

Intelligent Manufacturing
Quality-driven

AI deeply integrated into the entire production chain
Core Value

View Core Scenarios
Industry Pain Points

Challenges faced by industrial manufacturingFour Major Challenges

Jiutian Technology

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Quality inspection depends on manual labor

Intelligence for Higher Efficiency

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Significant loss due to equipment downtime

Four-Dimensional Architecture,

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Low Schedule Efficiency

Predictive Maintenance

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Difficult to inherit process knowledge

Breadcrumbs Navigation

NineZenith Solution

Four-dimensional Architecture,Reinvent the entire intelligent manufacturing chain

View Core Scenarios

Data-driven production
Make Manufacturing MoreIntelligent and More Efficient

  • Quality-Driven
  • Schedule On-Site Demonstration
  • Industry Pain Points
  • Four Major Challenges

Security layer · Zenith-Safety

Data Security · Compliance Audit · Security Protection

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Decision-making layer · Zenith-Control

Jiutian Solutions

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Model layer · Zenith-Act

Intelligent Manufacturing

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Perception layer · Zenith-Sense

Benchmark Cases

Core Scenarios

Industrial ManufacturingFour core scenarios

Quality Inspection

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Visual detection and root cause analysis of product quality

Intelligent Scheduling

  • High-precision visual recognition of surface defects and dimensional deviations
  • Automatic classification and grading of defects, automatic removal of defective products
  • Root cause analysis of defects, locating process anomalies
Core Value Detection accuracy approaching the limit, with a significant drop in false detection rates
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Predictive maintenance of equipment

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  • Real-time monitoring and modeling of operating data such as vibration and temperature
  • Equipment health assessment, early warning of fault trends
  • Intelligent generation of maintenance work orders, predictive preparation of spare parts
Core Value Customer Value
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Intelligent optimization of production scheduling

Make Manufacturing More

  • Multi-constrained intelligent scheduling of orders, capacity, and materials
  • Urgent order insertion with quick re-scheduling, intelligent delivery period assessment
  • Simulation and comparison of production scheduling plans, optimal strategy recommendation
Core Value Synchronization improvement of scheduling efficiency and capacity utilization
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Intelligent Q&A of process knowledge base

Low Scheduling Efficiency

  • Solutions
  • Natural Language Intelligent Q&A, quick query of process parameters
  • New employee decision-making assistance, shortening the training cycle
Core Value Process knowledge from 'human brain' to 'corporate brain'
Customer Value

QuantifiablePractical Effectiveness

Core Scenarios

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Accuracy of quality inspection
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Reduction in equipment downtime
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Schedule Efficiency Improvement
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Improved efficiency of knowledge retrieval
Benchmark Cases

Industrial ManufacturingPractical Model

Practical Effectiveness

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Quality Inspection

Visual quality inspection production line for a certain automotive parts

Home Page

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Predictive Maintenance

Predictive maintenance system for a certain equipment manufacturing

Nine

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Intelligent Scheduling

Intelligent scheduling platform for a certain electronic manufacturing

Scheduling Efficiency Improvement

Start your intelligent manufacturing upgrade

Data-Driven Production

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