Distributed Computing Network Using Hygienic Dispenser Idle Processors

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Solution Overview

Problem

Hygienic dispensers, equipped with processors and memory, often experience idle times or excess computing capacity, which is not utilized effectively for computational tasks beyond their primary dispensing operations.

Innovation Solution

A distributed computing system that assigns computational tasks, broken into work streams, to hygienic dispensers during idle times or when they have excess capacity, allowing them to perform additional processing tasks such as actuarial computations or engineering simulations, and consolidates the output to manage overall task completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If hygienic dispensers are equipped with processors and memory for dispensing operations, then the dispensers can perform monitoring and communication functions, but the processors sit idle during periods of little dispensing activity, resulting in wasted computing capacity

Engineering Contradiction:
Improvecomputing capacity utilizationVSAvoididle processor time
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The patent applies multi-functionality by enabling hygienic dispensers to perform both their primary dispensing function and secondary computational tasks. The processors and memory in dispensers are utilized for actuarial computations, engineering simulations, and other data processing tasks beyond simple dispensing operations, transforming single-function devices into multi-functional computing nodes within a distributed network

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If a distributed computing system assigns computational tasks to multiple dispensers, then the system can utilize idle computing resources across the network, but the system complexity increases due to task distribution and result consolidation requirements

Engineering Contradiction:
Improvecomputational throughputVSAvoidsystem coordination complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing computational tasks into work streams that can be distributed across multiple dispensers. The distributed computing program breaks down complex computational problems into smaller, manageable segments that can be processed independently by different dispensers, then consolidates the results to form the complete solution

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a distributed computing program as an intermediary that manages task assignment and result consolidation. This intermediary component coordinates between the computational task sources and the dispenser network, handling the complexity of distribution and aggregation while allowing individual dispensers to focus on executing their assigned work streams

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11937741B2Distributed dispenser network
Publication Date: 2024.03.26 KIMBERLY CLARK WORLDWIDE INC
  • US11937741B2 patent drawing
  • US11937741B2 patent drawing
  • US11937741B2 patent drawing

AI summary

A system comprising a plurality of dispensers each configured to dispense a respective hygienic consumable product during a dispense operation and each including a processor and memory; a distributed computing program configured to receive data defining a computational task comprising work streams and generate data assigning the work streams to at least two of the plurality of dispensers, wherein each of the at least two of the plurality of dispensers are configured to use their respective processor and memory to work on their respective work streams; and a data processing apparatus configured to run the distributed computing program.