Patrol Route Management Device with AI Optimization
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Solution Overview
Problem
Current technologies lack a device capable of planning security or provident operations in real-time with multiple constraints and points of interest from various data sources, specifically for managing routes of security or foresight patrols.
Innovation Solution
A route management device with real-time data communication, an artificial intelligence algorithm for calculating optimal routes based on classified data, including past routes, events, and weather, and a database that integrates georeferenced and non-georeferenced data, along with encryption and decryption modules for secure communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual route planning is used for security patrols, then operational flexibility can be maintained, but time consumption and inefficiency increase
Solution Approach 1:
The patent replaces manual mechanical route planning with an automated computer-based system that uses artificial intelligence algorithms to calculate optimal patrol routes. The system automatically processes multiple data sources including weather conditions, traffic information, event data, and historical patrol information to generate optimized routes without manual intervention, thereby dramatically improving planning efficiency and eliminating time consumption associated with manual methods
Solution Approach 2:
The system enables self-service route planning by autonomously gathering data from multiple sources, processing it through AI algorithms, and generating optimized patrol routes without requiring human operators to manually analyze information or create routes. The device independently performs all route planning functions, from data collection to route optimization and delivery
2Adaptability or versatility
If simple GPS navigation is used for patrols, then route following capability is provided, but real-time optimization with multiple constraints and points of interest cannot be achieved
Solution Approach 1:
The patent implements a multi-functional system that consolidates numerous capabilities into a single integrated device. The system simultaneously performs real-time data collection from multiple sources (weather services, traffic information, event data), historical data analysis, AI-based route optimization considering multiple constraints (time windows, fuel consumption, patrol objectives), and dynamic route adjustment. This universal system replaces multiple separate tools and processes with one comprehensive solution
Solution Approach 2:
The system employs a nested architecture where multiple functional modules are organized hierarchically. The AI algorithm module contains sub-modules for different optimization criteria, which in turn contain smaller functional units for specific tasks like data validation, constraint checking, and route segment optimization. This nested structure manages complexity by organizing functions at appropriate levels of abstraction
3Reliability
If real-time data from multiple sources is integrated for route planning, then comprehensive decision-making is enabled, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex data processing system into distinct functional modules, each responsible for specific tasks. The event detection module separately identifies and classifies points of interest, the data collection module independently gathers information from various sources, the AI algorithm module processes optimization calculations, and the route generation module synthesizes results. This segmentation allows each module to be optimized independently and simplifies the overall system architecture
Solution Approach 2:
The system introduces intermediary components that facilitate data flow between different modules. Data intermediaries standardize information exchange formats between heterogeneous data sources and the processing engine. The AI algorithm acts as an intermediary that transforms raw multi-source data into optimized route decisions, mediating between complex input data and actionable output
4Productivity
If classified data including past routes and weather information is used for route calculation, then optimal route determination is improved, but data security requirements and encryption needs increase
Solution Approach 1:
The patent creates a secure computational environment using encryption technologies that protect classified data throughout the processing pipeline. Sensitive information including past patrol routes, weather data, and operational constraints are encrypted both at rest in databases and in transit during processing. This cryptographic 'inert environment' ensures that even if the system is compromised, the classified data remains protected and unusable to unauthorized parties
Data Source
Figure 1
Figure 2~2C
AI summary
The present invention relates to a route management system for a group of people, comprising a real-time data communication module capable of transmitting and receiving data from at least one other communication module, the data including, for example, information concerning planned or unplanned events, a database comprising vector and/or georeferenced geographic data, and non-georeferenced data, the data including, for example, information concerning events, the topography surrounding the terminal and/or the group, information about the group, a route calculation module, the calculation module calculating said route based on the information transmitted by the receiving module, the route calculation module configured to calculate the optimal route, according to configurable and stored decision criteria, from data stored in a database.