Smart Device Procurement via Proximity and Usage Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Critical systems often fail unexpectedly, leading to high costs and inconvenience due to emergency repairs, and users lack the time to select suitable replacements that meet all requirements when failures occur.
Innovation Solution
A computerized system that identifies resource deficiencies in smart devices, establishes secure communication with portable devices, and transmits instructions to display procurement information based on usage profiles and custodian proximity, enabling timely and informed replacement decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users wait until smart devices fail before replacement, then emergency repair costs are high and user convenience deteriorates, but proactive replacement requires advanced failure prediction capabilities
Solution Approach 1:
The system performs preliminary actions by continuously monitoring device health metrics and predicting failures before they occur. Usage profiles are analyzed in advance to identify patterns indicating impending failure, allowing the system to notify users proactively and provide procurement information before the actual failure happens, thus eliminating emergency repair scenarios.
Solution Approach 2:
The system implements feedback loops by continuously collecting device usage data, analyzing it against historical patterns, and providing real-time notifications to users about device health status. This feedback mechanism enables users to make informed replacement decisions based on actual device condition rather than waiting for failure.
2Ease of operation
If the system contacts all potential custodians of smart devices, then procurement information can be widely distributed, but communication overhead and system complexity increase
Solution Approach 1:
The system applies local quality by determining geographic proximity between users and devices before initiating contact. Instead of universally contacting all potential custodians, the system selectively notifies only those users who are physically close to the device in question, thereby reducing communication overhead while ensuring relevant information reaches the appropriate audience.
3Measurement precision
If the system monitors device locations continuously, then proximity-based notifications are accurate, but energy consumption and communication channel usage increase
Solution Approach 1:
The system implements periodic action by updating device location information at scheduled intervals rather than continuously monitoring. Location data is refreshed at predetermined time intervals, which maintains sufficient accuracy for proximity-based notifications while significantly reducing energy consumption and communication channel usage compared to continuous monitoring.
Data Source
AI summary
Disclosed is an intelligent resource procurement system. The system typically includes a processor, a memory, and a resource management module stored in the memory. The system is typically configured for: identifying a resource deficiency associated with an entity; establishing a secure communication channel with a portable electronic device associated with the entity; monitoring a location of the portable electronic device over the secure communication channel; receiving a usage profile for each of a plurality of smart devices related to the resource deficiency; parsing the usage profiles to extract aggregate usage information; identifying a custodian of each of the plurality of smart devices; determining that the portable electronic device is located proximate to a first smart device of the plurality of smart devices and the custodian of the first smart device; and transmitting instructions causing the portable electronic device to display resource procurement information related to the resource deficiency.