Big-data silos that needs current data process technology and analytics service result in Intelligence analytics. With cheaper and convenient IA Enterprise solution for Smart factory reduce downtime and defects, and comes edge disruptive insights and real-time visibility. IA system enable analyst who have little expertise in statistics to solve complex problem. IA expect prospective failures and schedule detecting unexpected operational downtime of equipment.
Value chain services
Commonality analysis outcome initial phase for techniques to solve quality problems. Analysis recognize individual step, process, equipment, component, factors like recipe and factory environment measurements. Mitigating flexibility and capabilities by cloud computing is inevitable in manufacturing industry. Sensor and controller network surrounding physical system yield sensor failure, thus comes incorrect outcome. Service innovation and sustainable value service is key value chain in industry 4.0 factory based on industrial bag data analysis.
Seamless operation process
With modular structured smart factories, nowadays greater intelligence achieves different systems that impact to system operation performance. Such seamless interaction in surrounding systems turns into self-aware and self-learning intelligence. Overall operation performance and maintenance management for machine components consider identical machines as fleet. The main goal and machine operation decision making to meet production objective with efficient production plan and maintenance scheduling, in order to system performance, operational efficiency and reducing downtime.
Total Innovation Application Service
Important transformation of mega trend is manufacturing value-chain model. Systematically, inevitable trends and challenges for manufacturing industries could be solved into explaining uncertainties and informed-rapid decision with right innovation application service. Due to lack of smart analytics tools, many factory confront to manage difficulties in service innovation based on Total Innovative CPS framework. Under the industry 4.0 concept, in improvement information technology and social media networks produce customer’s recognition with product innovation that capable application to embedded self-recognition, self-prediction, and self maintenance for industrial big data application.
text in image # CPS framework process Self-aware and self-maintenance that is essential Converged Analytics Platform
Cyber-Physical System Framework
CPS is specific system for industry 4.0 CPS improves security, efficiency, convenience, and healthy value by globe.
Converged Analytics Platform
Users can be participating whole new system with high-performance software based on advanced embedded system. Through diligent innovation, service provider supply value chain change into business and market. Smart converged analytics platform is such intelligence achievement, which be used at the individual machine fleet levels. Key innovation of such a technology achieve self analytics intelligence using self algorighms being widely implemented in industry for smart decision support platform for proactive maintenance scheduling.
- All the resources used on beeHive are optimized for scale-out by increasing the number of linked servers using beeCloud to improve processing power, and can be auto scaled. In addition, it does not require any installation to process large amounts of data, thus reducing the burden on users to store and manage data directly in their workspace.
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