AI Positioning Query Prediction for Reduced Device Wait Time
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Solution Overview
Problem
Conventional positioning technologies require users to wait for extended periods in a query interface due to poor communication environments, reducing device efficiency and user experience.
Innovation Solution
A prediction server generates query prediction information based on historical data of the electronic device, providing insights such as waiting duration and success rate before the actual positioning result is received, allowing users to make informed decisions about their device usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user waits for positioning query result in poor communication environment, then the positioning accuracy is maintained, but the waiting time increases significantly
Solution Approach 1:
The system performs preliminary actions by predicting positioning query results before actual positioning is completed. The prediction server analyzes historical data and current communication environment to generate prediction information (success rate, waiting duration) that is provided to users in advance, allowing them to make informed decisions about whether to wait for the actual positioning result.
2Loss of information
If the user stays in the query interface to wait for positioning result, then the positioning information can be obtained, but the device usage efficiency decreases
Solution Approach 1:
The system introduces feedback by providing prediction information to users during the positioning query process. The prediction server continuously monitors the positioning query status and provides updated prediction information (success rate, estimated waiting duration) to the terminal device, which then presents this feedback to the user. This allows users to understand the current state and make informed decisions about whether to continue waiting or perform other operations.
3Adaptability or versatility
If the positioning query is initiated in poor communication environment, then the positioning functionality is available, but the communication efficiency deteriorates
Solution Approach 1:
The system performs preliminary assessment of communication environment before initiating positioning query. The prediction server evaluates historical data and current conditions to predict query outcomes in advance, allowing the system to prepare appropriate responses and manage user expectations before the actual positioning communication begins, thereby improving overall communication efficiency.
Data Source
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AI summary
This application is applicable to the field of artificial intelligence technologies, and provides an artificial intelligence (Artificial Intelligence, AI)-based method, apparatus, and system for positioning an electronic device, a server, and a storage medium. The method includes: A server obtains a prediction request. The server determines historical data of an electronic device based on a device identifier, and generates query prediction information. The server outputs the query prediction information. According to the technical solutions provided in 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, so as to determine whether to continue to wait for a query result, without the user keeping a query interface displayed at a frontend for a long time. This improves use efficiency of the terminal device and improves user experience.