Location Tracking System for Task Progress Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current task management systems fail to effectively track user locations and progress tasks according to schedules, leading to inefficiencies and performance issues, as they lack real-time monitoring and adaptive task reassignment capabilities.
Innovation Solution
A system that assigns tasks to users with scheduled geographic locations, tracks user locations using mobile devices, determines task progress, and modifies tasks based on performance metrics and user-defined rules, ensuring tasks are completed on time and reassigning tasks when necessary to meet performance requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time location tracking is implemented, then task monitoring accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that receives location information from mobile devices and processes it to determine task progress. This mediator handles the complex processing logic, keeping the mobile device client simple while achieving accurate real-time monitoring through the server's coordination of location data and task schedules
Solution Approach 2:
The system implements continuous feedback loops where location data is constantly received from mobile devices, processed by the server, and used to update task progress status. This feedback mechanism enables automatic task reassignment when progress deviates from schedules, improving monitoring accuracy through iterative adjustment without requiring complex manual intervention
2Productivity
If automatic task reassignment is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system enables automatic task reassignment through self-service mechanisms where the server autonomously monitors task progress against schedules and automatically reassigns tasks when progress falls behind, without requiring manual intervention from managers. This automation improves productivity by rapidly responding to performance deviations while centralizing the complexity in the server's decision-making algorithms
Solution Approach 2:
The patent implements dynamic task reassignment where task assignments are not fixed but can automatically change based on real-time progress monitoring. The system dynamically adjusts task allocation by comparing actual progress with scheduled progress and automatically reassigning tasks when deviations occur, enabling flexible adaptation to changing conditions without manual reconfiguration
3Measurement precision
If continuous location monitoring is implemented, then task progress determination is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic location monitoring where mobile devices send location information to the server at scheduled intervals rather than continuously. This periodic action maintains sufficient task progress determination accuracy by capturing location data at regular checkpoints while significantly reducing energy consumption compared to continuous real-time tracking
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving information from a remote system comprising one or more time periods during which a location of the client device can be tracked and monitoring the location of the client device during each of the time periods by obtaining a plurality of location coordinates from the client device during the time period and persistently storing the location coordinates on the client device.