Resource Management Server Application for Automated Scheduling

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Solution Overview

Problem

Conventional online systems for managing resources for third parties are inefficient due to processing power, memory, and network bandwidth issues, leading to suboptimal resource management.

Innovation Solution

A distributed server data management system that includes a resource management server with a processor, communication interface, and memory, which executes a resource management server application to receive requests, recall historical data, detect potential actions, and display recommended actions, while also allowing authorization and access management for second users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional online systems are used to manage resources for third parties, then users can access and manage resources manually, but the systems consume excessive processing power, memory, and network bandwidth

Engineering Contradiction:

Improvemanual resource management capabilityVSAvoidcomputing resource consumption

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system automatically performs resource management tasks such as scheduling, monitoring, and coordination without requiring manual user intervention. The automated assistant detects resource needs, predicts requirements, and executes management actions autonomously, thereby maintaining ease of operation while dramatically reducing computing resource consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations with intelligent automated systems that use algorithms, machine learning models, and AI-driven decision-making. This substitution eliminates the need for continuous human monitoring and manual resource allocation, reducing the computational burden while maintaining or improving operational effectiveness.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If manual resource management processes are used, then system complexity remains low, but productivity and efficiency are reduced

Engineering Contradiction:

Improvesystem structure simplicityVSAvoidresource management efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The system divides complex resource management tasks into discrete functional modules including resource detection, scheduling coordination, monitoring, and automated execution. Each module operates independently but integrates seamlessly, allowing the system to handle complex scenarios through modular components rather than monolithic structures.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The automated assistant serves multiple functions simultaneously - it acts as a resource detector, scheduler, monitor, and executor. This multi-functionality allows a single system to handle diverse resource management scenarios without requiring separate specialized systems, thereby maintaining relative simplicity while improving productivity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If automated actions are implemented, then resource management efficiency improves, but the system requires advanced data analytics and processing capabilities

Engineering Contradiction:

Improveresource management efficiencyVSAvoiddata processing capability requirement

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-scheduling tasks, pre-allocating resources, and pre-calculating optimal configurations based on historical data and predictive models. This advance preparation reduces the need for complex real-time processing during actual resource management operations, as decisions are made in advance when computational requirements are lower.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors resource usage patterns, user behavior, and system performance to refine its automated decision-making algorithms. This feedback mechanism allows the system to learn from actual operations and improve its predictions and actions over time, reducing the computational complexity needed for each individual decision as the system becomes more proficient.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10269456B2System for identification of treatment and resource deployment based on treatment interaction

Publication Date: 2019.04.23 BANK OF AMERICA CORP

AI summary

A system for extracting treatment information from a resource image, predicting a likely future event based on the extracted treatment information, and developing an action step to address the likely future event is provided. The system uses image capture technology and a data analytics engine to predict a likely future event and thereby allows users to allocate resources accordingly. In this way, the system provides a more efficient way to manage resources to address a likely future event.