Workflow Generation for Multi-Device Measuring Tasks
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Solution Overview
Problem
Existing systems lack the ability to automatically generate optimized workflows for measuring tasks across multiple devices, especially when using existing or legacy devices and untrained users, which can lead to inefficiencies and errors in tasks such as surveying and reality capture.
Innovation Solution
A workflow generation system that includes a device with a computing unit, memory, and communication unit, along with software agents that assess task-specific data from multiple devices to create optimized workflows, provide instructions, and generate feedback for improved task execution, utilizing machine-learning algorithms to adapt and improve workflows based on performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated workflow generation is implemented, then productivity and task execution efficiency are improved, but device complexity and system integration requirements increase
Solution Approach 1:
A centralized workflow generation system acts as an intermediary between multiple measuring devices and users. This system receives task requirements, automatically generates optimized workflows considering device capabilities and positions, and distributes them to relevant devices. This mediator approach resolves the contradiction by centralizing complexity in the workflow generation system while keeping individual measuring devices relatively simple.
Solution Approach 2:
The system segments the workflow generation process into distinct modules: task requirement analysis, device capability assessment, workflow optimization, and distribution. This segmentation allows each module to handle specific aspects independently, reducing overall system complexity while maintaining high productivity through automated coordination.
2Adaptability or versatility
If existing legacy devices are integrated into automated workflows, then adaptability and resource utilization are improved, but measurement precision and task reliability may deteriorate
Solution Approach 1:
The workflow generation system dynamically adjusts task parameters, timing, and sequencing based on the specific capabilities of each legacy device. By modifying workflow parameters rather than device hardware, the system maintains measurement precision while achieving broad device compatibility. The system assesses each device's capabilities and tailors the workflow accordingly.
Solution Approach 2:
The system implements feedback mechanisms where device performance data is collected and used to refine subsequent workflow generations. This allows the system to learn from actual measurements taken by legacy devices and improve task execution accuracy over time, compensating for potential precision limitations of older devices.
3Reliability
If comprehensive task-specific data collection from multiple devices is performed, then workflow optimization quality is improved, but data processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-assessing device capabilities, positions, and performance characteristics before actual task execution. This advance preparation allows the workflow generation to proceed more quickly, as much of the optimization data is already available from previous assessments rather than requiring real-time analysis during task execution.
Solution Approach 2:
The system applies local quality by collecting and processing data specifically relevant to each device's role in the workflow, rather than uniformly processing all possible data from all devices. This targeted data collection approach maintains high workflow optimization quality while reducing overall data processing time and complexity.
Data Source
AI summary
A workflow generation system comprising a first device with a computing unit, a memory unit and a first communication unit, and a plurality of software agents used with electronic apparatuses comprising at least one measuring device, wherein each software agent is on an electronic apparatus or an communication module connected to the electronic apparatuses, wherein each software agent exchanges data with the electronic apparatus the first device receives a measuring task and performs a workflow generation process to receive from agents task-specific data of the apparatuses, the task—specific data information about properties of the respective apparatus, to assess task-specific capabilities associated with each of the apparatuses, generate, based on the task and on the capabilities, an optimized workflow for performing the task including workflow data allowing the respective apparatus to perform the task, and to provide the workflow data to the software agents of the involved apparatuses.