Research on the Commercial Value of Intelligent Eco-Friendly Dynamic Fireworks Systems

Abstract

As an important carrier of Chinese culture for thousands of years, the fireworks industry has a broad and continuously developing foundation around the world, especially in the Chinese market. However, traditional fireworks face core challenges, including environmental limitations, frequent safety risks and insufficient ignition accuracy. Therefore, the intelligent transformation of the industry has become the key direction to overcome these bottlenecks. Most of the so-called “intelligent fireworks” are still limited to automated control and basic sensing capabilities, and lack real dynamic adjustment. This leads to immaturity of technology, low market acceptance and narrow business models, which hinders scalable and sustainable operations. In order to solve these industry pain points, this study proposes an intelligent environmental protection fireworks system centred on “end-to-end dynamic control”. It integrates three cutting-edge technologies: Generative Adversarial Networks (GAN), cross-scale digital twins, and neural differential equations. The system also establishes dual safeguards: virtual explosion chamber and AI-driven material performance audit. Neural differential equations work in parallel with simulation to reduce research and development (R&D) costs and solve price premium challenges; digital twins and professional liability insurance further remove market trust barriers; NDE-supported Function-as-a-Service (FaaS) model rebuilds the profit path; modularized interfaces and open platforms reduce the cost of supply chain collaboration. This research provides a full-chain optimized solution for the fireworks industry, balancing technical feasibility and business sustainability. It has accelerated the transition of the industry from traditional manufacturing to intelligent services and fostered an eco-friendly, safe and creative industrial ecosystem. The intelligent environmental protection dynamic fireworks system proposed in this study belongs to a conceptual framework. There is no prototype development or engineering verification. The suggested content is no different from the actual display.