AI Positioning Query Prediction for Waiting Time and Success Rate
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Solution Overview
Problem
Conventional positioning technologies require users to wait for extended periods for positioning query results, reducing device efficiency and user experience due to uncertain communication environments.
Innovation Solution
A prediction server generates query prediction information based on historical data of the electronic device, providing information such as positioning success rate and waiting duration before the actual positioning result is received, allowing users to make informed decisions about their device usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal device sends a positioning query request to obtain position information of an electronic device, then the user can obtain the position information, but the user needs to wait for a long time due to poor communication environment, which reduces device efficiency and user experience
Solution Approach 1:
The prediction server performs preliminary actions by analyzing historical data and generating query prediction information (including predicted positioning success rate and waiting duration) before the actual positioning query is completed. This allows the user to see predicted results in advance, reducing the perceived waiting time and improving user experience while the actual positioning process continues in the background
2Reliability
If the user stays in the query interface to wait for the positioning result, then the user can obtain the position information, but the user cannot perform other operations, which reduces device efficiency
Solution Approach 1:
The system introduces feedback by providing query prediction information (predicted success rate and waiting duration) to the user before the positioning query completes. This feedback loop allows users to make informed decisions about whether to wait for results or switch to other tasks, improving device productivity while maintaining positioning reliability through the actual query execution
3Measurement precision
If the electronic device reports position information in poor communication environments, then the position information can be obtained, but the reporting time is extended, which affects user experience
Solution Approach 1:
The prediction server performs preliminary analysis of historical data to generate query prediction information before the actual positioning query completes. This preliminary action provides users with predicted waiting duration and success rate information, allowing them to understand the expected time investment before committing to wait, thereby improving user experience without affecting the actual positioning accuracy
Data Source
AI summary
An artificial intelligence (AI)-based method, apparatus, and system are provided for positioning an electronic device, a server. The method includes: a server obtains a prediction request, determines historical data of an electronic device based on a device identifier, and generates query prediction information. The server further outputs the query prediction information. According to this application, when a positioning query request sent by a terminal device is received, the query prediction information corresponding to the positioning query request can be generated based on the historical data of the to-be-queried electronic device, and the query prediction information is output to the terminal device, so that a user can learn, based on the query prediction information, prediction information such as time consumed for query or a positioning success rate.