Flow Network Land Battle Evaluation System
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Solution Overview
Problem
Conventional military simulation methods fail to comprehensively simulate the deployment of troops in land battles, leading to incomplete evaluation of battle processes and potential misjudgments due to reliance on personal experience rather than probabilistic analysis.
Innovation Solution
A land battle process evaluation method and system using a flow network model with multiple nodes and paths, where a source and sink node represent the attack and defense positions, and a processor calculates maximal troop flows and troop losses to generate attack plans and occupation probabilities, optimizing troop deployment and defense strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional flow network designed according to flow conservation law is used, then the model structure is simple, but it cannot perfectly simulate the practical deployment and troop losses in land battle process
Solution Approach 1:
The patent segments the flow network into multiple states for each node (e.g., occupied, contested, secure), allowing different flow behaviors in different states. This segmentation enables the model to capture complex battle dynamics while maintaining a structured approach similar to conventional flow networks.
Solution Approach 2:
The patent changes the parameters of the flow network by introducing state-dependent flow capacities and troop loss rates. Instead of a single flow conservation law, the model uses multiple parameters that vary according to the state of each node, enabling more accurate simulation of battle scenarios.
2Measurement precision
If personal experience is used for decision making in military simulation, then the method is simple to implement, but it causes degradation of military simulation and deviation of troop deployment due to misjudgment
Solution Approach 1:
The patent incorporates feedback mechanisms where the simulation results and occupation probabilities are fed back into the decision-making process. This allows for continuous refinement of attack plans based on calculated outcomes, replacing subjective judgment with data-driven feedback loops.
Solution Approach 2:
The patent replaces the mechanical system of human experience-based decision making with a computational system that calculates occupation probabilities and evaluates attack plans algorithmically. This substitution eliminates subjective bias while introducing systematic computational complexity.
3Quantity of substance
If conventional flow conservation law is applied, then the input flow equals output flow, but this cannot account for practical troop losses and deployment differences in land battles
Solution Approach 1:
The patent applies preliminary actions by calculating potential troop losses and state transitions before actual flow execution. Each node's state is evaluated in advance to determine flow capacities and loss rates, allowing the model to account for troop losses before they occur in the simulation.
Solution Approach 2:
The patent introduces dynamics by making flow capacities and troop loss rates variable rather than constant. These parameters change dynamically based on the state of each node and the progress of the battle, allowing the model to adapt to changing conditions rather than relying on static flow conservation.
Data Source
AI summary
A land battle process evaluation method and system thereof are provided. The land battle result evaluation method includes a flow network for presenting the land battle process problem. The flow network includes a plurality of land nodes and a plurality of connection paths for connecting the plurality of land nodes. A source node and a sink node may be disposed in the plurality of land nodes. A plurality of attack paths are formed by a combination of the plurality of connection paths from the source node to the sink node. The actual process of the land battle is simulated by the flow network and the probability of the various attack plans are obtained, such that the practical command is provided by reference to the evaluation result.