Geo-Temporal Map Allocation for Dynamic Inventory Updates

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Solution Overview

Problem

Current GPS and mapping solutions are inadequate in accounting for small-scale geographical and temporal changes, as they often update maps infrequently, leading to lost changes between updates.

Innovation Solution

The Ad Hoc Item Geo Temporal Location and Allocation Apparatuses, Methods and Systems (GeoTemp) transforms user requests into location maps, booking systems, and inventory allocation by integrating user interface components like map region, layout, and product order components, enabling real-time updates and dynamic allocation of resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If maps are updated infrequently to reduce system complexity, then device complexity is reduced, but measurement precision of geographical changes is lost

Engineering Contradiction:
Improvemap update frequencyVSAvoidgeographical change detection
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system transitions from static periodic map updates to dynamic event-driven updates. Small-scale geographical changes trigger immediate update events, while large-scale changes initiate comprehensive map refreshes. This dynamic approach allows the system to adapt update frequency based on actual change magnitude, resolving the contradiction between update frequency and system complexity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent segments geographical changes into two categories: small-scale changes (local modifications) and large-scale changes (comprehensive updates). This segmentation allows the system to apply different update strategies to different types of changes, reducing overall system complexity while maintaining precision for detected changes through targeted updates.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If real-time updates are implemented to improve resource allocation accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvegeo-location accuracyVSAvoidupdate system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements dynamic update scheduling that adjusts real-time monitoring based on change magnitude. Small-scale changes trigger localized updates, while large-scale changes activate comprehensive refresh protocols. This dynamic strategy provides real-time accuracy when needed without maintaining constant high-level monitoring, thus reducing overall system complexity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies local quality by implementing location-specific update strategies. When a small-scale change is detected in a particular geographical area, only that local region is updated rather than the entire map system. This localized approach maintains geo-location accuracy for changed areas while reducing the complexity burden of system-wide real-time updates.

Inventive Principle:
Principle #3Local quality

3Loss of information

If comprehensive map updates are performed to ensure complete information accuracy, then loss of information is reduced, but loss of time increases

Engineering Contradiction:
Improvegeographical change dataVSAvoidupdate cycle time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system segments update operations into small-scale change updates and large-scale change updates. This segmentation ensures that comprehensive information accuracy is maintained for detected changes while avoiding unnecessary full system updates. By updating only the necessary portions, the system minimizes information loss without incurring the time penalty of comprehensive updates.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by performing updates only to the extent necessary to capture detected geographical changes. Rather than always executing comprehensive map updates, the system performs partial updates targeted at specific changed regions. This approach maintains information accuracy for relevant areas while significantly reducing update cycle time.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11107150B2Ad Hoc item Geo temporal location and allocation apparatuses, methods and systems
Publication Date: 2021.08.31 BEACHY CO
  • US11107150B2 patent drawing
  • US11107150B2 patent drawing
  • US11107150B2 patent drawing

AI summary

The Ad Hoc Item Geo Temporal Location and Allocation Apparatuses, Methods and Systems (“GeoTemp”) transforms user requested area (202), user layout request (1102), user request for product items (1402), layout, section, unit/item position, zone, user item selection inputs via GeoTemp components into location map (230), layout position (1135), booking (1026), goods services dispatch (1326, 1430), item reservation, item directions, inventory request, inventory delivery outputs. The GeoTemp includes an ad hoc geographical and temporal mapping and item allocation apparatus, comprising: a memory and a component collection in the memory. The GeoTemp further includes a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the component collection, stored in the memory. It includes instructions to obtain geographical layout message, and composite a geo-temporal map including asset items allocated within the confines defined by the geographical layout message. The GeoTemp also includes instructions to obtain an asset selection message from a user, allocate a selected asset for the user, update inventory availability accounting for the selected asset, and provide updated composite geo-temporal map including updated inventory availability.