Cloud Numerical Control System for Cooperative Machining
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current numerical control systems face limitations in handling complex and accurate requirements of advanced manufacturing processes, including integration of CAD/CAPP/CAM functions, real-time control, and cooperative manufacturing, due to proprietary hardware and software constraints, leading to slow development, high costs, and inadequate performance.
Innovation Solution
A cloud numerical control system comprising a cloud control core node, cloud measurement and control subnodes, fine-tuning driving units, and a real-time communication network, utilizing multiple PC subsystems for parallel processing and data exchange, enabling advanced control functions such as remote communication, redundancy, and integration of CAD/CAPP/CAM, and cooperative machining between multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary hardware and software systems are used in numerical control systems, then system reliability and control precision are improved, but development period is extended and manufacturing costs increase
Solution Approach 1:
The system is divided into modular functional units including host subsystem, real-time control subsystem, remote communication management subsystem, and redundancy control subsystem. Each subsystem operates independently but coordinates through standardized interfaces, enabling parallel development and reducing overall development time while maintaining system reliability.
Solution Approach 2:
The numerical control system is designed with universal PC-based hardware and software platforms that can serve multiple functions including motion control, data processing, communication management, and coordination control. This multi-functionality eliminates the need for separate proprietary systems, reducing development period and costs while maintaining reliability.
2Reliability
If proprietary hardware and software systems are used in numerical control systems, then system reliability is improved, but manufacturing costs increase
Solution Approach 1:
The system uses standardized PC components and software platforms that are widely available and can be replicated from commercial off-the-shelf products. This copying approach eliminates the need for expensive custom-built proprietary hardware and software, reducing manufacturing costs while maintaining system reliability through proven technologies.
Solution Approach 2:
Universal PC-based platforms perform multiple control functions simultaneously, reducing the total number of components needed compared to specialized proprietary systems. This consolidation lowers hardware costs, software licensing fees, and maintenance expenses while maintaining the reliability required for numerical control applications.
3Adaptability or versatility
If multiple functional requirements are added to numerical control systems, then adaptability and versatility are improved, but device complexity increases
Solution Approach 1:
The system divides complex control functions into separate modular subsystems (host control, real-time control, communication management, redundancy control). Each subsystem handles specific functions independently, reducing the complexity within each module while providing overall system versatility through their coordinated operation.
Solution Approach 2:
The system introduces standardized communication interfaces and protocols as intermediaries between different functional modules. These intermediaries enable various subsystems to interact seamlessly, allowing the system to accommodate multiple functional requirements without increasing internal complexity of individual components.
4Ease of manufacture
If PC-based systems are used instead of proprietary systems, then ease of manufacture and cost are improved, but real-time control performance may deteriorate
Solution Approach 1:
The system separates host control functions (running on standard PC) from real-time control functions (handled by dedicated real-time control subsystem). This segmentation allows the PC to handle high-level planning and coordination while the real-time subsystem ensures precise motion control, maintaining real-time performance despite using PC-based architecture.
Solution Approach 2:
The system introduces real-time control subsystems as intermediaries between the PC-based host and the actuators. These intermediaries translate high-level commands from the PC into precise real-time control signals, ensuring that real-time performance requirements are met while benefiting from the ease of manufacture and lower costs of PC-based systems.
Data Source
AI summary
The invention provides an implementing method of cloud numerical control system. The method implements a numerical control system with functions of online error compensation, CAD/CAPP/CAM/CNC integrating and interactively cooperative assembling machining control. The cloud numerical control system includes a small cloud numerical control system a large cloud numerical control system. The small cloud numerical control system focuses on inside control of a single numerical control machining device and includes a cloud control core node, cloud measure and control subnodes and fine-tuning driving units. The large cloud numerical control system is based on the small cloud numerical control system and performs interactively cooperative machining between multiple numerical control machining devices for different workpieces to be assembled.