Automated Multi-Phase Network Planning Tool
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional network planning tools require manual updates and sequential implementation of phases, making it inefficient to accommodate changes or implement non-sequential multi-phased growth plans in communication systems.
Innovation Solution
A method and tool that automatically calculates and updates network plans by adjusting parameter values, allowing for non-sequential multi-phased growth scenarios, merging initial and new scenarios into a to-be-built or deployed network scenario, enabling flexible planning and implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional network planning tools are used with sequential phase implementation, then the network plan can be constructed following a standard procedure, but manual intervention is required for every change and the planning process becomes time-consuming and inefficient
Solution Approach 1:
The system enables self-service automation where the network planning tool automatically recalculates and updates the entire network plan when any parameter changes, eliminating the need for manual intervention. The tool independently determines the effects of changes across all phases and automatically adjusts subsequent phases, allowing the system to serve itself without human input for routine update operations.
Solution Approach 2:
The system implements feedback mechanisms where changes to any parameter trigger automatic recalculation of the network plan. The tool continuously monitors parameter changes and automatically adjusts subsequent phases based on the impact analysis, creating a closed-loop system that responds to changes without manual intervention and maintains plan consistency throughout the planning process.
2Stability of the object's composition
If manual updates are performed for each change in the network plan, then the sequential phase structure can be maintained, but the complexity of tracking effects across multiple phases increases significantly
Solution Approach 1:
The system introduces an intermediary automated calculation engine that mediates between parameter changes and phase structure updates. When a parameter changes, the intermediary automatically analyzes the impact across all phases, determines necessary adjustments, and updates the phase structure accordingly, eliminating the complexity of manual tracking while maintaining structural integrity.
Solution Approach 2:
The system replaces the mechanical manual process of tracking and updating phase structures with an automated computational system. The automated tool uses algorithms to calculate the effects of changes across multiple phases and automatically adjusts the plan, substituting human manual operations with automated mechanical computation that handles complexity without increasing user burden.
3Adaptability or versatility
If a non-sequential multi-phased growth plan is implemented, then flexibility in network deployment is improved, but the ability to automatically update and recalculate the plan becomes more difficult
Solution Approach 1:
The system implements dynamic phase sequencing where the order and timing of phase implementation are not fixed but can be adjusted automatically based on changing requirements. The automated tool can recalculate and resequence phases dynamically, allowing flexible deployment schedules while maintaining automatic update capability. Each phase can be independently modified in timing or sequence without requiring complete plan restructuring.
Solution Approach 2:
The system segments the network plan into independent, modular phases that can be planned and updated separately. Each phase is treated as an independent unit with its own parameters and dependencies clearly defined, allowing the automated tool to calculate changes in one phase without requiring complete recalculation of the entire plan, thus maintaining automation capability while enabling flexible non-sequential implementation.
4Reliability
If the network plan includes multiple phases with multiple parameters each, then comprehensive coverage of all implementation aspects is achieved, but the time required to manually determine effects of changes across all phases increases
Solution Approach 1:
The system maintains continuous automated calculation capability throughout the planning process. When any parameter changes, the automated tool continuously and immediately recalculates the effects across all phases and parameters, eliminating interruptions and manual analysis time. The continuous automated computation ensures complete plan coverage is maintained while drastically reducing the time required to analyze changes.
Solution Approach 2:
The system uses computational models and templates to represent the complex multi-phase plan structure. Instead of manually analyzing each parameter and phase relationship, the automated tool uses pre-established computational copies of the plan structure that can be rapidly recalculated. This allows comprehensive parameter coverage to be maintained while reducing analysis time through efficient computational replication rather than manual examination.
Data Source
AI summary
A method for planning a multi-phase network includes storing initial parameter values for parameters associated with first and second growth phases in a multi-phase network plan, wherein each of the first and second growth phases is characterized by sets of the parameters. The method also includes calculating an initial growth scenario including the first and second growth phases based on the initial parameter values, and adjusting a value for at least one of the parameters to produce a modified parameter value. The method further includes automatically calculating a new growth scenario based on the modified parameter value and at least a portion of the initial parameter values, and displaying the new growth scenario. A computer readable medium for implementing the method described herein is also provided.