Transparent Edge Nodes for Auditable True Random Number Generation
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Solution Overview
Problem
Existing systems fail to generate true random number seeds with high credibility, low cost, ease of use, and auditability, while ensuring rapid, massive, and neutral generation, which affects the openness and credibility of lotteries and sweepstakes.
Innovation Solution
A system comprising transparent random number generation edge nodes with electromechanical devices and video surveillance, coupled with an edge server and center node, uses AI to identify and broadcast random numbers, supporting information security auditing and live streaming to ensure transparency and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional random number generation methods (e.g., encryption cards, live-streaming video) are used, then the generation process can be made transparent or intuitive, but the generation speed is slow, the quantity of generated numbers is limited, and the cost is high
Solution Approach 1:
The system divides the random number generation into multiple independent edge nodes distributed in different locations, each generating random numbers independently through physical processes. This segmentation allows parallel generation of multiple random numbers simultaneously, dramatically increasing productivity while maintaining transparency through distributed physical verification points
Solution Approach 2:
The patent replaces traditional mechanical random generation methods (encryption cards, manual processes) with automated electromechanical systems controlled by programmable logic controllers. These systems use physical processes (air blowing, mechanical mixing) that are both fast and visually verifiable, achieving high-speed generation while maintaining public transparency through video surveillance
2Reliability
If manual or semi-manual random number generation processes are used, then the process can be supervised visually, but the operation is complex and requires human intervention
Solution Approach 1:
The system implements self-service through automated video surveillance that captures and transmits real-time footage of the random number generation process to public terminals and online platforms. The programmable logic controllers automatically execute predefined sequences without human intervention, and the video records provide self-verification capability, eliminating the need for manual supervision while maintaining full auditability
Solution Approach 2:
The system incorporates real-time feedback through video surveillance cameras that monitor the physical random generation process and immediately transmit this information to edge servers and public interfaces. This continuous feedback loop allows public verification of each generation event, ensuring reliability while the automated nature of the feedback mechanism keeps operations simple and hands-free
3Device complexity
If centralized random number generation is used, then the system is simple to manage, but the generation capacity is limited and cannot serve multiple locations simultaneously
Solution Approach 1:
The system segments the centralized generation function into multiple distributed edge nodes, each capable of independent random number generation. These nodes are managed through a standardized protocol that maintains simplicity while enabling parallel operation across multiple locations, exponentially increasing total generation capacity without proportionally increasing management complexity
Solution Approach 2:
Each edge node is designed as a universal, multi-functional unit that can operate independently or in coordination with other nodes. The standardized interface and protocol allow any node to serve any location's needs, providing flexible scalability where additional nodes can be added to increase capacity without requiring location-specific customization, maintaining management simplicity while expanding service coverage
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system generates highly credible and auditable true random numbers quickly and massively, allowing public supervision and low-cost use, thereby enhancing the openness and credibility of lotteries and sweepstakes.
Implementation Method 1
The electromechanical device includes an electric fan, a stepping motor, a switch sensor, an electrostatic removal component, and a programmable industrial control mainboard. The electromechanical device is configured to rearrange the randomly movable objects periodically and randomly by blowing air to the bottom of the transparent container.
Data Source
AI summary
Provided are an apparatus and method for generating a true random number. Since a random number generation edge node is made of a large number of transparent materials and can support an information security auditing function, a high-credibility and auditable true random number can be visually generated. Since a plurality of random number generation edge nodes can be deployed in cities in different regions at the same time, power networks and communication networks are not shared. Intelligent software and hardware devices are used to generate random numbers automatically and rapidly, so true random numbers can be reliably, quickly, massively and neutrally generated for a long time. As a random number generation center node can provide a true random number seed generation service for all the public by means of a public interface, a random number generation service can be conveniently used at a low cost for a single user.