Sensor Data Sharing via Intermediary Server
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Economical sensors collect valuable data in physical environments, but this data is often siloed within organizations, leading to unnecessary expenditure and missed insights, as existing social networks do not facilitate structured sharing of data from instruments in physical spaces.
Innovation Solution
A computer system comprising a server and network portal that allows authorized users to share measured data from on-premise sensors across different physical spaces, using shared data definitions and enabling recommendations based on compared data from other locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is collected and stored within each organization separately, then data security and organizational control are maintained, but data sharing and collaborative insights are limited
Solution Approach 1:
The patent introduces a centralized server as an intermediary that receives, stores, and manages sensor data from multiple physical spaces. This mediator enables organizations to maintain local control while allowing secure data sharing through the server, resolving the contradiction between data security and information accessibility for collaborative insights
Solution Approach 2:
The server provides multiple functions including data collection, storage, sharing, and analysis across different organizations. By creating a universal platform that serves multiple purposes, the system allows organizations to maintain security while enabling data sharing and collaborative insights simultaneously
2Adaptability or versatility
If each organization collects its own data independently, then organizational autonomy is maintained, but redundant data collection occurs leading to increased costs
Solution Approach 1:
The patent merges data collection efforts by having multiple organizations contribute their sensor data to a shared server. This combination allows organizations to maintain autonomy in selecting which sensors to deploy while eliminating redundant collection of the same environmental parameters, thereby reducing costs and energy expenditure
3Loss of information
If data is shared across multiple organizations, then collaborative insights and knowledge sharing are improved, but data privacy and security risks increase
Solution Approach 1:
The server acts as a secure intermediary that mediates data sharing between organizations. It implements controlled access mechanisms that allow data to be shared for collaborative insights while maintaining security protocols, thus reducing data silos without significantly increasing security risks
Data Source
AI summary
A computer system is provided that includes a server configured to store a plurality of location accounts, each location account being associated with a physical space at a recorded geospatial location. The plurality of location accounts utilize shared data definitions of a physical space parameter. Each physical space is equipped with a corresponding on-premise sensor configured to detect measured values for the physical space parameter over time and send to the server a data stream indicating the measured values. The computer system further includes a network portal, via which an authorized user for a location account can selectively choose whether to share the measured values or a summary thereof with other location accounts via the network portal.