Cloud-Based Facility–Device Association for Accurate Document Output
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Solution Overview
Problem
Existing systems struggle to efficiently associate a specific facility with an information device based on the usage patterns of individuals, leading to inefficiencies in determining the appropriate device for document output.
Innovation Solution
A non-transitory computer readable medium and information processing system that utilize a cloud server to associate a specific facility with an information device by combining usage period data from facilities and utilization period data from information devices, using position and attribute information to determine the optimal device for document output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems are used to associate facilities with information devices, then the system structure is simple, but the association accuracy between facility and device is low
Solution Approach 1:
The system performs preliminary actions by collecting and storing usage period data from facilities and utilization period data from information devices before the actual association is needed. This advance data collection and processing enables accurate association when required, resolving the contradiction between association accuracy and system complexity by preparing data structures in advance.
Solution Approach 2:
The system introduces an intermediary information processing system that acts as a mediator between facilities and information devices. This intermediary collects usage data, processes it according to determination criteria, and generates associations, thereby improving association accuracy while managing system complexity through a dedicated intermediate layer.
2Productivity
If usage pattern analysis is implemented to determine appropriate devices, then document output efficiency is improved, but data processing complexity increases
Solution Approach 1:
The system applies parameter changes by using determination criteria that evaluate multiple parameters including usage period, utilization period, and temporal relationships between facility usage and device utilization. These parameter-based evaluations enable efficient document output routing while managing data processing complexity through structured parameter comparison.
Solution Approach 2:
The system implements self-service by enabling information devices and facilities to automatically report their usage data to the information processing system. This automated data collection reduces manual intervention and processing complexity while improving document output efficiency through continuous, accurate usage pattern analysis.
Data Source
AI summary
A non-transitory computer readable medium storing a program causing a computer to execute a process including associating a specific facility with an information device based on a combination of a usage period at which a usage person used the specific facility and a utilization period at which the usage person utilized the information device before the usage period and a predetermined determination criterion.