LEAD’s LIB Equipment Intelligent Operation Manager
How can we improve equipment MTBF and reduce operation and maintenance costs while ensuring the operation safety of the equipment? LEAD's independently developed inteligent operation and maintenance solution - the LlB Equipment inteligent 0peration & MaintenanceManager,is designed to be modular, allowing for comprehensive data collection and intearation with MES, ERP systems, and other informationsystems. lt helps to quickly build applications suitable for various scenarios in diferent industries, enabling real-time monitoring of equipmentoperation and maintenance status,reducing equipment response time to falure, improving equipment operation efficiency, Additionally. it can beintegrated with other systems to provide comprehensive production management decision-making support, enabling quick decision-making atthe management level and optimizing the entire lifecycle management of the production line.
Program value
Closed-loop Process Management
Driven by both data and algorithms, achieving digitization and intelligence in equipment operation and maintenance.
Integrated Cloud-edge-end Solution
Building an intelligent operation and maintenance platform (AIOps) to empower customers’ equipment operation and maintenance.
Centralized Display of Full Lifecycle Data
Providing clear visibility of equipment information throughout its entire lifecycle.
Advantages of the plan
01
01
Whole Line Perception
Whole line perception, driven by data and algorithms, with a focus on the value of business scenarios, provides intelligent closed-loop control at the edge and intelligent operation and maintenance management in the cloud, empowering intelligent manufacturing.
02
02
LEAD Whole Line Knowhow
Equipment information models are built based on LEAD’s whole line Knowhow, including geometric models, physical properties, functional attributes, control logic, maintenance and upkeep information, etc.
03
03
Standard Management System
Assisting customers in quickly establishing a standard management system for equipment inspection, repair, and maintenance.
04
04
Building Remote Operation and Maintenance Capabilities
Building remote operation and maintenance capabilities to improve equipment OEE, reduce skill requirements for on-site personnel, and shorten response time to fault.
05
05
Establishing 6-dimension System
Establishing a 6-dimension evaluation system and building a health analysis platform to remotely diagnose data under user authorization.
06
06
Introduction of Large Language Model
Introducing large language model for knowledge management, assisting in new employee training and knowledge & experience accumulation.
07
07
Lightweight Deployment Requirements
Integrated edge collection & computing gateway to meet lightweight deployment requirements.
Closed-loop process management, driven by data and algorithms, realizing digitalization and intelligence of machine operation and maintenance
   
Cloud-edge-end integration, building the Machine AI Operating System (AIOps) to empower customer in machine operation and maintenance