Adaptive Workflow Deployment for Device Issues and Task Reassignment
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Solution Overview
Problem
Existing workflow deployment systems in construction and civil engineering fail to adapt and modify workflows in response to unexpected or predicted problems, particularly in complex environments with multiple devices and users, leading to inefficiencies and task interruptions.
Innovation Solution
A workflow deployment system comprising computing devices and software agents that monitor and predict issues with measuring devices, allowing for automatic workflow modification and reassignment of tasks between devices, using customized data and machine learning to adapt to obstacles and device stability, enabling continued task performance without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If workflow deployment systems use fixed workflows without modification capability, then system simplicity is maintained, but workflow reliability deteriorates when unexpected problems occur
Solution Approach 1:
The system transforms fixed workflows into dynamic workflows that can be automatically modified in response to detected or predicted problems. The workflow deployment system monitors device status and automatically generates modified workflow packages when issues are detected, allowing the system to adapt to changing conditions while maintaining operational reliability.
Solution Approach 2:
The system implements feedback mechanisms where software agents monitor device performance and communicate status to the workflow deployment system. This feedback loop enables automatic workflow modification based on real-time device status, problem detection, and prediction, improving reliability without requiring complex manual intervention.
2Adaptability or versatility
If workflows are manually monitored and modified, then workflow adaptability improves, but productivity deteriorates due to manual intervention requirements
Solution Approach 1:
The workflow deployment system performs self-service by automatically detecting problems, generating modified workflow packages, and deploying updated workflows without human intervention. Software agents monitor devices and trigger automatic workflow modifications, enabling the system to adapt to problems while maintaining high productivity through automated processes.
Solution Approach 2:
The system replaces manual mechanical workflow modification processes with automated computational processes. Instead of human operators manually analyzing problems and rewriting workflows, software agents and algorithms automatically detect issues, generate modified workflow packages, and deploy updates, significantly improving both adaptability and productivity.
3Reliability
If existing devices and legacy systems are used without modification, then ease of operation is maintained, but workflow reliability deteriorates due to device limitations and instability
Solution Approach 1:
The workflow deployment system provides universal compatibility with existing devices and legacy systems through software agents that can be installed on various electronic apparatuses. The system can monitor and modify workflows for different device types without requiring hardware modifications, maintaining ease of operation while improving reliability through automated problem detection and workflow adaptation.
Solution Approach 2:
The workflow deployment system acts as an intermediary between legacy devices and the workflow execution environment. Software agents installed on existing devices communicate with the deployment system, which then generates modified workflow packages that account for device limitations and stability issues, enabling reliable operation of legacy systems without requiring changes to the devices themselves.
4Loss of time
If workflows are executed without automatic modification capability, then system complexity is minimized, but loss of time increases due to task interruptions and manual reconfiguration
Solution Approach 1:
The system performs preliminary actions by proactively detecting and predicting problems before they cause workflow interruptions. Software agents monitor device status and predict potential failures, allowing the workflow deployment system to generate modified workflow packages in advance and deploy them before actual problems occur, minimizing workflow interruption time.
Solution Approach 2:
The system ensures continuity of useful action by automatically modifying and redeploying workflows without interrupting the overall task execution. When problems are detected or predicted, the system generates modified workflow packages and deploys them seamlessly, allowing workflows to continue executing with minimal interruption and maintaining continuous productive action.
Data Source
AI summary
A workflow deployment system comprising at least one computing device having a memory unit and a first communication unit, and a plurality of software agents, wherein each software agent is installable on an electronic apparatus of the plurality of electronic apparatuses, wherein each software agent exchanges data with the electronic apparatus, wherein the memory unit stores workflow data related to a workflow for performing a task, the workflow comprising at least a first workflow package for a first part of the task, wherein the computing device assigns the first workflow package to the first apparatus, and to provide workflow data related to the first workflow package to the software agent of the first apparatus, to receive a problem solution request from the software agent, to perform, upon reception of the request, a workflow modification process; and to provide the customized data to the software agent of the first apparatus.