Electronic Map Alignment and Land Yield Optimization
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Solution Overview
Problem
Manual alignment of electronic map data with underlying displays is time-consuming and prone to human error, posing serious consequences in land development.
Innovation Solution
A method and system for automatically aligning electronic map data by defining an area of interest, converting data to a predetermined datum, and combining restriction values to determine usable or unusable land parcel values, utilizing a spider program to retrieve and analyze map files from remote sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment is used to align overlay map with electronic display, then alignment can be achieved, but the process is time-consuming and subject to human error
Solution Approach 1:
The system performs automatic alignment without human intervention by having the electronic display system itself identify alignment marks, calculate transformations, and adjust coordinate systems. The computer automatically compares map coordinates with display coordinates and computes the transformation parameters, eliminating the need for manual measurement and alignment procedures.
Solution Approach 2:
The patent replaces manual mechanical alignment procedures with automated computational methods. Instead of physically adjusting and measuring alignment, the system uses coordinate transformation algorithms and mathematical calculations to achieve precise alignment automatically, substituting mechanical operations with computational processes.
2Reliability
If manual adjustment is used to align overlay map with electronic display, then alignment can be achieved, but human error can have serious consequences in land development
Solution Approach 1:
The system performs automatic alignment without human intervention by having the electronic display system itself identify alignment marks, calculate transformations, and adjust coordinate systems. The computer automatically compares map coordinates with display coordinates and computes the transformation parameters, eliminating the need for manual measurement and alignment procedures.
Solution Approach 2:
The system uses alignment marks as reference points to establish feedback for the coordinate transformation process. By comparing the known coordinates of alignment marks on the map with their displayed positions, the system calculates transformation parameters and can verify alignment accuracy, providing a feedback mechanism that ensures reliable alignment without human error.
3Measurement precision
If electronic map data is converted to predetermined datum and multiple restriction values are combined, then land parcel value determination becomes accurate, but data processing complexity increases
Solution Approach 1:
The patent segments the land value determination process into distinct components: obtaining the electronic map, defining the area of interest, retrieving multiple restriction values from different sources, converting map data to predetermined datum, and combining restriction values. This segmentation allows each step to be processed independently and systematically, managing complexity through structured decomposition of the overall task.
Solution Approach 2:
The system integrates multiple functions into a unified land value determination process: map data retrieval, coordinate transformation, area calculation, restriction value acquisition from multiple sources, and综合 value computation. This multi-functional approach consolidates what would otherwise be separate processes into a single integrated system, managing complexity through consolidation rather than multiplication of separate systems.
Data Source
AI summary
Disclosed is a system method for aligning a plurality of electronic map data, which includes the steps of obtaining an electronic map file, defining an area of interest on the electronic map file, selecting a predetermined datum and providing the electronic map file in the predetermined datum. Also disclosed is a land yield method including the steps of obtaining an electronic map, storing the electronic map in a computer readable medium, defining an area of interest on the electronic map, referring to a database to determine whether the database contains at least one restriction value, referring to a remote database to determine whether the remote database contains an additional restriction value, the additional restriction value being distinct from the at least one restriction value, combining restriction values, and determining a total value of the parcel of land based on the combined restriction values.