Thing-Sourcing Platform Data Estimation Using Pre-Existing Archives
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Solution Overview
Problem
Existing thing-sourcing platforms face challenges in efficiently completing tasks due to the lack of available devices that can provide high-quality real-time data, with issues such as insufficient qualifying devices, non-compliant device capabilities, and high data collection costs, leading to difficulties in obtaining necessary data for tasks.
Innovation Solution
The method involves determining if real-time data is required for a task, and if not, utilizing pre-existing data from archives or estimating data based on previous records, while also selecting and coordinating a group of participant devices to accomplish the task, ensuring data quality and cost optimization through a thing-sourcing platform that manages task allocation and device performance tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data collection is performed using thing-sourcing devices, then data freshness and relevance are improved, but device availability and data collection costs worsen due to insufficient qualifying devices
Solution Approach 1:
The system performs preliminary actions by determining whether real-time data is actually needed before initiating data collection. It checks for pre-existing data in archives and evaluates task requirements against available device capabilities in advance, avoiding unnecessary real-time data collection when pre-existing data suffices.
Solution Approach 2:
The system uses pre-existing data as a substitute or copy of real-time data when the latter cannot be obtained. By leveraging historical data from archives that matches task requirements, the system avoids the need to deploy additional thing-sourcing devices for real-time collection.
2Measurement precision
If real-time data collection is performed using thing-sourcing devices, then data freshness is improved, but data collection costs worsen
Solution Approach 1:
The system performs preliminary evaluation of task requirements against available pre-existing data before initiating costly real-time data collection. By determining in advance whether pre-existing data can satisfy task requirements, the system avoids unnecessary expenditure on real-time data collection operations.
Solution Approach 2:
The system substitutes pre-existing data for real-time data collection when possible, using historical records as copies that satisfy task requirements without incurring the additional costs of deploying and operating thing-sourcing devices for real-time collection.
3Productivity
If pre-existing data is used to complete tasks, then device utilization and cost efficiency are improved, but data relevance and timeliness worsen
Solution Approach 1:
The system implements feedback by evaluating whether pre-existing data meets task requirements before using it. It checks data quality, relevance, and suitability criteria, and only proceeds with pre-existing data when the evaluation confirms it satisfies the task needs, otherwise triggering real-time data collection.
4Productivity
If thing-sourcing platforms coordinate multiple participant devices, then task accomplishment capability is improved, but system complexity worsens
Solution Approach 1:
The system segments the task coordination process into distinct evaluation stages: determining real-time data requirements, checking pre-existing data availability, evaluating device capabilities, and selecting participant devices. This segmentation simplifies the overall coordination complexity by breaking it into manageable, sequential decision points.
Data Source
AI summary
A thing-sourcing project request including requirements for a thing-sourcing task that requires data input by a thing-sourcing device is received from a requestor device. A determination is made if real-time data is needed in order to complete the thing-sourcing task. In response to determining that real-time data is not needed, a determination is made if a similar thing-sourcing task has been previously completed. If not, the method determines if the thing-sourcing task can be completed using pre-existing data. If so, a data archive is searched for relevant pre-existing data that can be used to complete the thing-sourcing task. The thing-sourcing task is completed using the relevant pre-existing data, and a response to the thing-sourcing project request is transmitted to the requestor device.