Multi-Industry Sensor-Enabled Bottle Technology

Publication ID: 24-11857507_0007_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Multi-Industry Sensor-Enabled Bottle Technology,” Published Technical Disclosure No. 24-11857507_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857507_0007_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. 11,857,507.

Summary of the Inventive Concept

The inventive concept applies the core technology of the original infant feeding system to various new industries, including agriculture, industrial processes, athletics, logistics, and environmental monitoring, enabling innovative solutions and improvements in these fields.

Background and Problem Solved

The original infant feeding system patent addressed the need for caregivers to monitor and optimize infant feeding. However, its core technology has broader potential applications beyond infant care. This inventive concept tackles the limitation of the original patent by exploring new industries and use cases where the sensor-enabled bottle technology can bring significant value.

Detailed Description of the Inventive Concept

The inventive concept revolves around adapting the sensor-enabled bottle technology to various industries. In agriculture, the sensor-enabled irrigation bottle monitors soil moisture and temperature, enabling optimized irrigation schedules. In industrial processes, the infant feeding system-inspired sensor and transmitter arrangement monitors and optimizes energy usage in industrial equipment. In athletics, the wearable device tracks and analyzes athletic performance, providing real-time feedback and coaching. In logistics, the smart packaging system monitors temperature, humidity, and other environmental factors, ensuring optimized shipping and storage of perishable goods. In environmental monitoring, the network of sensor-enabled 'smart bottles' measures pollutant levels, transmitting data to a central server for analysis and reporting.

Novelty and Inventive Step

The new claims introduce novel applications of the sensor-enabled bottle technology, expanding its scope beyond infant care. The inventive step lies in recognizing the potential of this technology to address specific challenges in diverse industries, thereby creating new opportunities for innovation and improvement.

Alternative Embodiments and Variations

Alternative embodiments could include adapting the sensor-enabled bottle technology to other industries, such as healthcare, consumer electronics, or smart homes. Variations could involve different sensor configurations, transmission protocols, or data analysis approaches to cater to specific industry requirements.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential across multiple industries, including agriculture, industrial processes, athletics, logistics, and environmental monitoring. The target market includes companies and organizations seeking innovative solutions to improve efficiency, reduce costs, and enhance performance in their respective fields.

CPC Classifications

SectionClassGroup
A A61 A61J9/02
A A61 A61J9/06
A A61 A61J2200/74

Field of Art

Sensor-enabled monitoring systems with a focus on data collection, transmission, and contextual analysis across multiple domains including healthcare, industrial monitoring, and environmental sensing

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in sensor technologies, data transmission protocols, embedded systems, and cross-domain application of monitoring technologies with knowledge of IoT architectures and pattern recognition algorithms

Obviousness Rationale

A PHOSITA would recognize the fundamental sensor-transmission-analysis architecture of the infant feeding system as readily adaptable to multiple technical domains. The core technological components - sensors, data transmission, contextual analysis - represent a generalizable framework that can be systematically applied across different use cases with predictable modifications. The variations disclosed demonstrate straightforward technological translation of core sensing and data processing principles.

Obvious Combinations & Variations

Source Patent Element
Smart feeding bottle with multiple sensors measuring physical properties and transmitting data
PTD Variation
Agricultural irrigation monitoring system using soil moisture and temperature sensors
Obviousness Reasoning
Substituting domain-specific sensors while maintaining identical sensor-transmission architecture represents a predictable design variation known to those skilled in sensor system design
Source Patent Element
Pattern recognition algorithm for processing feeding data
PTD Variation
Athletic performance tracking using real-time sensor data analysis
Obviousness Reasoning
Applying machine learning techniques to different contextual datasets is a standard engineering approach for extracting meaningful insights across domains
Source Patent Element
Transmitter configured to send data from smart feeding bottle
PTD Variation
Logistics tracking system monitoring environmental conditions during shipping
Obviousness Reasoning
Extending wireless data transmission to track environmental parameters represents a known and predictable technological adaptation
Source Patent Element
Processor executing machine-executable instructions for data acquisition
PTD Variation
Industrial energy consumption monitoring system generating optimization recommendations
Obviousness Reasoning
Repurposing data acquisition and analysis frameworks for different optimization contexts is a standard engineering practice with predictable implementation
Source Patent Element
Neural network and decision tree pattern recognition techniques
PTD Variation
Urban environmental monitoring network using distributed sensor nodes
Obviousness Reasoning
Applying established machine learning techniques to distributed sensing networks represents an obvious technological extension within the state of the art
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857507, a person of ordinary skill in the art would find the disclosed variations in sensor-enabled monitoring systems obvious, as the fundamental technological architecture remains consistent across domains, with modifications representing predictable design choices that would be apparent to a skilled practitioner without requiring inventive insight.

Original Patent Information

Patent NumberUS 11,857,507
TitleInfant feeding system
Assignee(s)Koninklijke Philips N.V.