Adaptive Storage Optimization: Multi-Industry Material Distribution

Publication ID: 24-11856896_0002_PTD

Published: October 26, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptive Storage Optimization: Multi-Industry Material Distribution,” Published Technical Disclosure No. 24-11856896_0002_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856896_0002_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,896.

Background and Problem Solved

The original patent addressed the issue of compaction-appropriate distribution of harvested material in a flat silo, primarily for agricultural purposes. However, the limitations of this technology lie in its narrow application scope. The present invention overcomes this limitation by extending the core technology to diverse industries, tackling the common problem of inefficient storage capacity utilization.

Novelty and Inventive Step

The novelty of this invention lies in the innovative application of the original patent's core technology to entirely new industries and use cases, thereby providing a non-obvious solution to the problem of inefficient storage capacity utilization. The inventive step resides in the adaptation of the control unit and storage device configuration tool to accommodate diverse input variables and storage requirements.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the control unit's algorithms, different types of storage devices, or modifications to the storage layout optimization tool. Additionally, the invention could be integrated with existing inventory management systems, warehouse management software, or logistics platforms to enhance their functionality.

Potential Commercial Applications and Market

The invention has vast commercial potential in various industries, including data center operators, retail stores, warehousing and logistics companies, shipping ports, and supply chain management firms. The target market includes companies seeking to optimize their storage capacity, reduce costs, and improve operational efficiency.

CPC Classifications

Section	Class	Group
A	A01	A01F25/183
A	A01	A01D43/0633
A	A01	A01F25/166

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Agricultural storage and logistics systems, specifically material distribution and density optimization technologies involving control systems for storage and compaction processes

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in agricultural engineering, control systems design, and storage optimization techniques, possessing knowledge of sensor technologies, computational algorithms for density calculation, and mechanical configuration of storage and distribution systems

Obviousness Rationale

A PHOSITA would recognize that the core technical concept of using a control unit to dynamically optimize storage density based on input variables is fundamentally transferable across different storage domains. The source patent's method of determining and adjusting storage configuration through computational analysis provides a clear technical framework that can be systematically adapted to alternative storage environments with predictable results.

Obvious Combinations & Variations

Source Patent Element

Control unit for ascertaining dry-substance density based on input variables

PTD Variation

Applying identical control unit logic to data center, warehouse, and logistics storage optimization

Obviousness Reasoning

Transferring computational density optimization techniques across domains represents a known technique with predictable results, where core algorithmic principles remain consistent

Source Patent Element

Distribution plate modification for material compaction

PTD Variation

Modifying storage rack, container stacking, and inventory management configurations using analogous computational approaches

Obviousness Reasoning

Reconfiguring storage layouts through computational methods is a standard engineering design choice with finite, predictable solution sets

Source Patent Element

Method incorporating working-efficiency presets as secondary conditions

PTD Variation

Integrating efficiency constraints and user interface selection across different storage management contexts

Obviousness Reasoning

Implementing secondary optimization constraints is a well-established technique in control system design, representing an obvious extension of known computational strategies

Source Patent Element

Silo vehicle with integrated control system for material distribution

PTD Variation

Mobile inventory management units and logistics management systems with equivalent computational optimization capabilities

Obviousness Reasoning

Adapting mobile computational control systems across different technical domains is a predictable engineering solution with known implementation techniques

Source Patent Element

Dynamic adjustment of storage configuration based on input parameters

PTD Variation

Applying identical computational optimization principles to supply chain, retail, and shipping storage scenarios

Obviousness Reasoning

Systematic transfer of density optimization algorithms represents a standard engineering approach with foreseeable technological adaptations

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856896, a person of ordinary skill in the art would find the storage optimization techniques disclosed herein to be obvious variations of the source patent's core technological principles, rendering any claims to substantially similar computational storage density determination methods obvious and therefore unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,856,896
Title	Method for assisting a compaction-appropriate distribution of harvested material in a flat silo
Assignee(s)	Deer & Company