Lot Planning with Geospatial Alignment
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Solution Overview
Problem
Builders face difficulties in accurately exporting geographical location identifiers for lot plans and visualizing their deployment on land due to the lack of geographical location identifiers, leading to challenges in obtaining approvals and identifying utility placements, as conventional lot plans lack precise coordinates and alignment with reference maps.
Innovation Solution
A software facility that constructs a combined view by analyzing graphic images of lot maps and reference maps to identify common features, scaling, rotating, and modifying them to accurately depict lot placement, thereby associating each lot with unique features and displaying geographic coordinates, lot identifiers, and other attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional lot plans are used without geographical location identifiers, then the lot planning process is simple and quick, but the accuracy of location identification and mapping alignment is poor
Solution Approach 1:
The patent introduces geographical location identifiers (GPS coordinates) as an intermediary element that bridges the lot plan and the reference map. These identifiers serve as a common language between the two systems, enabling accurate alignment and integration without fundamentally changing the lot plan creation process. The coordinates act as a mediator that connects the conceptual lot design with the physical land representation.
Solution Approach 2:
The patent replaces manual mechanical alignment methods with automated computational processes. Instead of physically overlaying and manually adjusting lot plans on reference maps, the system uses software to automatically match GPS coordinates, calculate transformations, and align the datasets computationally. This substitution of mechanical alignment with digital coordinate-based registration resolves the contradiction by providing high precision through automated mathematical transformations.
2Productivity
If manual alignment methods are used to match lot plans with reference maps, then the system remains simple, but the time and effort required for alignment is excessive
Solution Approach 1:
The patent applies preliminary action by pre-assigning geographical location identifiers to each lot during the lot plan creation phase. Instead of performing alignment operations later, the system prepares the data in advance by embedding GPS coordinates into the lot plan structure. This preliminary tagging of locations enables rapid automated matching later, dramatically reducing the time required for alignment operations.
Solution Approach 2:
The patent replaces time-consuming manual alignment operations with automated computational algorithms. The system uses software to automatically match GPS coordinates between lot plans and reference maps, perform geometric transformations, and generate aligned outputs without human intervention. This mechanical-to-digital substitution eliminates the excessive time and effort previously required for manual alignment while significantly improving productivity.
3Reliability
If lot plans lack precise coordinates, then the planning process is faster, but the reliability of utility placement and government approvals is compromised
Solution Approach 1:
The patent introduces precise GPS coordinates as an intermediary data layer that connects lot plans with real-world geographic locations. These coordinates serve as a reliable reference framework that enables accurate utility placement by providing exact spatial relationships between lots and existing infrastructure. The coordinate system acts as a mediator that ensures reliability without significantly impacting the planning process speed, as the data integration is automated.
Data Source
AI summary
A facility for computing a combined view that superimposes a graphic image representing lots onto a reference map is described. The facility identifies a set of distinguishing features in the graphic image and a set of distinguishing features in the reference map. These sets are used to compute a set of common distinguishing features using various techniques, such a cross-referencing. The facility then computes a combined view of the graphic image of lots and the reference map using the set of common distinguishing features. The facility further determines geographic coordinates of location markers on the graphic image scaled to the reference map.


