Published Technical Disclosure Archive

Autonomous Silo Compaction Optimization System

Publication ID: 24-11856896_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Silo Compaction Optimization System,” Published Technical Disclosure No. 24-11856896_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856896_0010_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 disclosed a method for assisting a compaction-appropriate distribution of harvested material in a flat silo. However, this approach relied on manual input and lacked real-time adaptability, leading to suboptimal compaction and wasted resources. The present invention addresses these limitations by introducing autonomous, data-driven, and proactive compaction strategies.

Novelty and Inventive Step

The new claims introduce a paradigm shift in silo compaction technology by integrating AI, autonomous drones, adaptive material sensing, and underground sensors, which collectively enable real-time adaptability, proactive optimization, and unprecedented efficiency. These features are novel and non-obvious compared to the original patent's manual input-based approach.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include using swarm robotics, advanced computer vision, or other sensing technologies to monitor and adjust harvested material distribution. Variations could involve integrating the system with existing farm management software or using the technology in other industries, such as construction or mining.

Potential Commercial Applications and Market

The Next-Generation Silo Compaction Optimization System has significant commercial potential in the agricultural industry, enabling farmers and livestock producers to reduce waste, increase efficiency, and minimize environmental impact. The technology could also be applied to other industries, such as construction or mining, where efficient material distribution and compaction are critical.

CPC Classifications

SectionClassGroup
A A01 A01F25/183
A A01 A01D43/0633
A A01 A01F25/166

Field of Art

Agricultural machinery and harvesting systems, specifically focused on material distribution and compaction in agricultural storage facilities, requiring expertise in mechanical engineering, control systems, and agricultural process optimization

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer with 5-7 years of experience in agricultural equipment design, familiar with control systems, sensor integration, and material handling technologies, possessing knowledge of precision agriculture techniques

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed AI and sensor-based enhancements represent predictable technological extensions of the source patent's existing control unit and distribution optimization framework. The core problem of optimizing material distribution remains consistent, with the PTD merely introducing more advanced sensing and adaptive technologies that are natural progressions in modern agricultural engineering. These variations represent incremental improvements using standard engineering approaches to solve the same fundamental challenge of efficient material compaction.

Obvious Combinations & Variations

Source Patent Element
Control unit for ascertaining dry-substance density based on input variables
PTD Variation
Self-learning AI module predicting distribution patterns using expanded real-time environmental data
Obviousness Reasoning
Predictable application of machine learning techniques to existing control system architectures, representing a known method of enhancing sensor-based decision making
Source Patent Element
Distribution plate for managing harvested material placement
PTD Variation
Drone swarm for autonomous real-time monitoring and adjustment of material distribution
Obviousness Reasoning
Obvious extension of existing distribution control principles using emerging robotic and autonomous technologies that are well-established in precision agriculture
Source Patent Element
Manual input-based distribution control system
PTD Variation
Underground sensor network providing continuous subsurface condition monitoring
Obviousness Reasoning
Logical progression of sensing technologies, representing a finite and predictable approach to gathering more comprehensive material distribution data
Source Patent Element
User interface for managing distribution parameters
PTD Variation
Integration of weather forecasting and environmental data into compaction optimization
Obviousness Reasoning
Known technique of expanding input variables to improve system performance, utilizing standard data integration methodologies
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this publication would be obvious to a person having ordinary skill in the art when viewed in light of US Patent 11856896, as the proposed technological enhancements represent predictable applications of known engineering techniques to the fundamental problem of agricultural material distribution and compaction. The disclosed innovations constitute obvious combinations of prior art elements that would be readily conceived by a skilled practitioner without requiring inventive insight.

Original Patent Information

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