Document Grouping by Geographic Object Filtering
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Solution Overview
Problem
Existing data processing systems face challenges in efficiently sharing and analyzing data related to objects within specific geographic regions, as they often require transmitting extensive data sets, which can strain network resources and computing power.
Innovation Solution
A method that allows users to create documents with visualizations of objects within a geographic region, where the system identifies and updates objects in real-time based on their location and attributes, transmitting only necessary data to the user, enabling real-time analytics without overwhelming network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system transmits complete data sets identifying each object in the geographic region, then the consuming user can perform analytics on all objects, but network resources are strained and computing power is overwhelmed
Solution Approach 1:
The system extracts only the necessary subset of data (objects within the specified geographic region) from the complete data set and transmits only this filtered portion to the consuming user's device. This extraction principle resolves the contradiction by maintaining data reliability for relevant objects while significantly reducing network resource consumption by excluding irrelevant data.
Solution Approach 2:
The system applies local quality by customizing the data transmission based on the specific geographic region requested by the consuming user. Instead of transmitting uniform complete data sets to all users, the system tailors the data content to match the local needs of each user's geographic query, thereby optimizing network resource usage while ensuring data completeness for the relevant local context.
2Loss of information
If the system transmits complete data sets with all object details, then the consuming user receives comprehensive information, but the document size becomes large and transmission efficiency decreases
Solution Approach 1:
The system extracts and transmits only the essential data elements corresponding to objects within the geographic region, excluding redundant information about objects outside the region. This extraction approach maintains information completeness for the relevant scope while dramatically improving transmission efficiency by reducing document size.
3Measurement precision
If the system performs geographic filtering on the server for every user request, then each user receives accurate regional data, but computing resources are consumed repeatedly
Solution Approach 1:
The system performs the geographic filtering operation in advance on the server side, identifying and preparing the set of objects within each geographic region before user requests arrive. This preliminary action ensures measurement precision is maintained while reducing the computing power required during actual user interactions, as the filtering computation is performed once rather than repeatedly for each user request.
4Loss of energy
If the system transmits only essential geographic region data without object details, then network resources are preserved, but the consuming user cannot perform analytics on specific objects
Solution Approach 1:
The system creates and transmits a simplified copy or representation of the object data that contains all necessary attributes for analytics purposes while excluding redundant information. This copying approach preserves network resources by transmitting smaller data volumes while maintaining the consuming user's ability to perform analytics on specific objects within the geographic region.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically defined groups for document distribution are disclosed. In one aspect, a method includes the actions of accessing document data for a document having content that is adjustable based on geographic locations of objects. The actions further include determining multiple object types specified by the document data, the multiple object types indicating types of objects that are discoverable using the document. The actions further include obtaining object location data indicating locations associated with objects. The actions further include identifying objects having the determined object types that are associated with locations in a particular geographical area. The actions further include obtaining attributes of the identified objects from one or more databases. The actions further include generating a view of the document based on the document data, the identified objects, and the obtained attributes.