Vehicle Passing Data Extraction by Checker Authority
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Solution Overview
Problem
The existing process of manually extracting vehicle passing data for violation detection is inefficient due to the need for numerous manual operations by checkers, leading to low data checking efficiency.
Innovation Solution
A data extraction method and apparatus that automatically extracts vehicle passing data based on predefined extraction authority information for each checker, reducing manual operations by determining and sending only relevant data to the checker for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If checkers manually input extraction conditions to extract vehicle passing data, then the data can be extracted according to specific conditions, but the number of manual operations increases and data checking efficiency decreases
Solution Approach 1:
The system pre-stores device authority information for each checker that includes predefined extraction conditions (checkpoint identifiers, vehicle types, violation types). When a checker logs in, the system automatically retrieves and applies this pre-configured authority information to extract relevant data without requiring manual condition input, thereby maintaining extraction accuracy while eliminating manual configuration steps
Solution Approach 2:
The system enables checkers to automatically obtain their authorized data by simply logging in. The data analysis system automatically matches the checker's device authority information with the vehicle passing data, performs the extraction according to the pre-stored conditions, and pushes the filtered data to the checker without any additional manual operations from the checker's side
2Adaptability or versatility
If checkers have authority to obtain all vehicle passing data, then comprehensive data can be accessed for checking, but the complexity of data management increases and relevant data cannot be efficiently filtered
Solution Approach 1:
The system assigns different device authority information to different checkers based on their specific responsibilities and roles. Each checker's authority information contains customized extraction conditions (specific checkpoint identifiers, vehicle types, violation types) that are tailored to their local needs, allowing them to access only the relevant subset of data appropriate to their function rather than all available data
Solution Approach 2:
The system extracts and pushes only the specific vehicle passing data that matches the checker's device authority information from the massive dataset. By automatically filtering and extracting only the relevant data portions based on pre-stored authority conditions, the system reduces the data volume presented to each checker while maintaining comprehensive access capabilities across the entire system
Data Source
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AI summary
The embodiments of the present application provide a data extraction method and apparatus. The method includes: obtaining a data extraction instruction sent by a client, wherein the data extraction instruction is an instruction issued by a target checker logging in to the client, and the data extraction instruction carries a target user identifier of the target checker; obtaining extraction authority information for the target user identifier according to a preset correspondence and the target user identifier as target extraction authority information, wherein the preset correspondence comprises: a plurality of correspondences between user identifiers and extraction authority information, and the extraction authority information is information for representing an authority of a corresponding checker to extract vehicle passing data; extracting, from to-be-checked vehicle passing data, first to-be-checked vehicle passing data that matches the target extraction authority information; and sending the first to-be-checked data to the client. With the embodiments of the present application, the number of manual operations of the checker is reduced in extracting vehicle passing data, thereby further reducing the number of manual operations in data checking, and improving data checking efficiency.