Server Filtering for Vehicle Data Collection Accuracy
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Solution Overview
Problem
Existing data collecting systems face challenges in collecting traveling state data on vehicles in a manner that aligns with specific client requirements, often resulting in inefficient data collection due to unsuitable selection of consignees and vehicles.
Innovation Solution
A data collecting system comprising a server and data processing apparatuses that allow clients to set specific request data and requisite conditions, enabling the server to selectively send request data to appropriate consignee-side data processing apparatuses for accurate and relevant data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If request data is sent to multiple consignees without selective filtering, then the quantity of collected data increases, but the relevance and accuracy of collected data decreases
Solution Approach 1:
The server performs preliminary filtering of request data based on consignee information and vehicle information before sending requests. This preliminary action ensures that only relevant requests are dispatched to appropriate consignees, preventing unnecessary data collection efforts while maintaining data relevance and accuracy.
Solution Approach 2:
The server acts as an intermediary between the data collection system and consignees. It mediates the matching process by comparing request data with consignee and vehicle information, selecting appropriate consignees to receive requests, and thereby ensuring that collected data meets the required relevance and accuracy standards.
2Measurement precision
If request data is selectively filtered before sending to consignees, then the relevance and accuracy of collected data improves, but the complexity of the data collection system increases
Solution Approach 1:
The server performs multiple functions within a single system: storing request data, storing consignee information, storing vehicle information, filtering requests based on matching criteria, and dispatching selected requests. This multi-functionality reduces overall system complexity compared to having separate specialized components for each function.
Solution Approach 2:
The system merges the filtering and selection logic directly into the server's request dispatching process. By combining the filtering operation with the existing request management functionality, the system avoids adding separate complex filtering subsystems, thereby minimizing the increase in system complexity while achieving accurate data selection.
3Measurement precision
If comprehensive vehicle information is stored and processed, then the accuracy of matching requests to appropriate vehicles improves, but the data processing time and system resources increase
Solution Approach 1:
The server stores vehicle information in advance before request processing. This preliminary preparation of data allows for efficient matching operations when requests arrive, as the vehicle information is already organized and accessible, reducing the time required for accurate matching at the time of request processing.
Data Source
AI summary
A data collecting system includes a server and a data processing apparatus. The server holds at least one piece of request data including at least a content of a request for collection of traveling state data on a vehicle and a requisite condition for the collection of the traveling state data. The server sends request data of interest to the data processing apparatus. The data processing apparatus acquires the traveling state data on the vehicle on the basis of the request data of interest received from the server, and sends the acquired traveling state data to the server.