Cloud 3D Print Load Balancing for Automated Job Allocation
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Solution Overview
Problem
Current 3D printing systems are resource-intensive and inefficient, requiring direct user control and manual handling, leading to wasteful time lag and resource mismanagement, especially in third-party printing services lacking the necessary infrastructure and expertise to manage complex printing jobs effectively.
Innovation Solution
A computer-implemented method and system that connects client devices with 3D printing devices through a cloud-based infrastructure, receiving build data, selecting suitable printers based on configuration and load balancing, and transforming data into executable instructions for efficient resource allocation and automated printing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly control 3D printers to begin and end operations, then users can manage printing processes, but users experience resource-intensive manual handling and time-consuming operations
Solution Approach 1:
The patent introduces a cloud-based print management service as an intermediary between users and 3D printers. This service receives print requests from users, manages the printing queue, and automatically distributes jobs to appropriate printers, eliminating the need for users to manually control each printer while reducing time lag through automated job management and load balancing across multiple devices.
2Productivity
If third-party printing services use manual operations to convey printing parameters, then services can handle printing jobs, but services lack control and precision in fulfilling job parameters
Solution Approach 1:
The patent replaces manual mechanical operations with an automated cloud-based management system that uses software to receive, validate, and transmit printing parameters digitally. The system automatically converts user requests into machine-executable instructions, ensuring precise parameter fulfillment while maintaining high productivity through automated job distribution and monitoring across multiple printers.
3Productivity
If more 3D printing devices are needed to complete complex printing jobs, then printing capacity increases, but resource management becomes more complex and inefficient
Solution Approach 1:
The patent creates a universal cloud-based management platform that can handle multiple printing jobs across diverse 3D printing devices through a single interface. The system automatically adapts to different printer capabilities, manages job queues centrally, and distributes workloads optimally, allowing the organization to scale printing capacity without proportionally increasing management complexity.
4Ease of operation
If users manually provide files and parameters to third-party companies, then printing services can be outsourced, but users experience wasteful time lag and resource mismanagement
Solution Approach 1:
The patent enables continuous automated operation where the cloud-based management service maintains persistent connections with multiple printers, continuously monitoring their status and automatically assigning new jobs as printers become available. This eliminates idle time and gaps in the printing workflow, allowing users to outsource printing while maintaining continuous productive operation without manual file transmission delays.
Data Source
AI summary
An approach is provided for managing 3D printing processes using a 3D printing management service in a cloud-based environment. Configuration data is received corresponding to one or more available 3D printing devices which may be used to complete a 3D printing job. Build data is received corresponding to one or more 3D printing jobs requested for the one or more available 3D printing devices. The 3D printing management service utilizes the configuration data and the build data to select at least a particular 3D printing device to perform at least a particular 3D printing job based on a resourced load balancing determination. The build data is transformed to a format communicable to the particular selected 3D printer to allow it to perform the particular 3D printing job.