Cloud 3D Printing Resource Allocation
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Solution Overview
Problem
Current 3D printing methods often require cumbersome pre-investigation processes and lack efficient resource allocation, leading to prolonged output times and inefficient use of available 3D printing capabilities.
Innovation Solution
A cloud-based 3D printing system that connects multiple 3D printers, allowing for the division of 3D modeling data into sub-data portions and allocation to available printers based on their capabilities, enabling simultaneous processing and reducing output time through optimized resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D modeling data is processed through traditional sequential methods, then printing accuracy is maintained, but output time is prolonged
Solution Approach 1:
The patent divides 3D modeling data into multiple sub-data portions and distributes them to different 3D printers for parallel processing. This segmentation of the printing task enables simultaneous execution across multiple devices, dramatically reducing overall output time while maintaining printing accuracy through controlled data distribution and coordination.
2Productivity
If multiple 3D printers are utilized simultaneously, then productivity increases, but resource allocation complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that automatically manages resource allocation across multiple 3D printers. The server receives printing requests, divides modeling data into sub-portions, and intelligently distributes tasks to available printers based on their status and capabilities. This intermediary system eliminates the need for manual coordination, simplifying operation while maximizing productivity through optimized resource utilization.
3Reliability
If comprehensive pre-investigation processes are performed, then printing reliability is improved, but process complexity increases
Solution Approach 1:
The patent performs necessary pre-investigation and preparation actions automatically before printing begins. The server system conducts preliminary checks on printer availability, capability matching, and data validation in advance, ensuring printing reliability without requiring complex manual pre-processing steps. This preliminary automation maintains high reliability while reducing the perceived complexity for users.
Data Source
AI summary
3D printing may include receiving 3D modeling data from a device, transmitting information regarding available 3D printers in a cloud environment to the device, receiving a request to divide a printing task from the device, selecting at least one of the available 3D printers, dividing the 3D modeling data into portions of sub-data based on the request, matching respective portions of the sub-data to at least one of the selected 3D printers.