Machine Tool Controller Offloading Data Processing Load
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Solution Overview
Problem
Conventional machine tool controllers face processing load issues, particularly during machining simulations, which can lead to decreased performance and potential hindrance of workpiece machining, and upgrading software without matching hardware specifications can reduce processing capacity.
Innovation Solution
A controller for machine tools that can connect to a data processing device via a telecommunication line, allowing it to transmit cooperative processing signals for the data processing device to perform workpiece-related data processing, thereby reducing the load on the controller and enabling the execution of data processing tasks such as tool path generation and NC program generation externally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all data processing is executed on the controller's hardware, then the controller can perform machining simulation and data processing functions, but the processing load on the controller increases and processing speed decreases
Solution Approach 1:
The patent segments the data processing system into two parts: the controller for machine tool control and an external data processing device for heavy computational tasks. The controller transmits only control signals and receives results, while the external device handles machining simulation and complex data processing, thereby distributing the processing load and maintaining high processing speed.
Solution Approach 2:
The patent introduces a telecommunication line as an intermediary between the controller and the external data processing device. This intermediary enables the controller to offload heavy data processing tasks to the external device while maintaining real-time communication, thus reducing the controller's processing load without compromising its control functions.
2Adaptability or versatility
If software is upgraded to add new functions, then the data processing capability is improved, but the hardware processing capacity is reduced due to increased software requirements
Solution Approach 1:
The patent extracts the heavy data processing functions from the controller's hardware and relocates them to an external data processing device. This allows the controller's hardware to maintain its original processing capacity while the external device handles the computationally intensive tasks required by upgraded software, thus preventing the reduction of processing capacity.
3Productivity
If the hardware specifications are increased to handle larger loads, then the processing capacity is improved, but the cost and difficulty of upgrading increases
Solution Approach 1:
The patent uses an external data processing device connected via telecommunication line as an intermediary to provide enhanced processing capacity without modifying the controller's hardware. This approach allows the system to gain additional processing power through software and external hardware rather than expensive and difficult hardware upgrades to the controller itself.
Data Source
AI summary
A machining-related data processing system has a configuration in which a controller for machine tool comprising an NC device and an assisting device is connected to a data processing device via a telecommunication line. The assisting device has a cooperative-processing instructing section transmitting a cooperative processing signal to the data processing device and thereby remotely operating the data processing device to cause it to perform data processing, and receiving the result of the data processing performed in the data processing device, and the data processing device has an automatic program generation section, a machining simulation section and a cooperative-processing executing section receiving the cooperative processing signal from the controller and causing the automatic program generation section and the machining simulation section to perform data processing related to workpiece machining and corresponding to a data processing request accepted in the controller, and transmitting the data processing result to the controller.