Research on the Future Development Trends of Fire Simulators Under the Background of Digital Transformation​

Abstract: With the in-depth advancement of smart city construction and the implementation of modernization reforms in the emergency rescue system, traditional fire training models are increasingly plagued by prominent pain points including single training scenarios, high operational risks, high costs, and inefficient review. As core intelligent equipment for fire training, emergency plan deduction, and public fire safety science popularization, fire simulators have become a key carrier for the digital transformation of the fire protection industry. Combining the application status of cutting-edge technologies such as artificial intelligence, digital twins, 5G communication, and virtual reality, this paper systematically analyzes the current development status of fire simulators. It profoundly explores the future development trends of the industry from the dimensions of intelligent technology, full-scenario coverage, diversified applications, and systematic standardization. Meanwhile, it sorts out the current bottlenecks and challenges in industrial development, providing theoretical support for the technological iteration, industrial implementation, and large-scale application of fire simulators, and helping improve both the practical combat capability of fire rescue teams and the public awareness of fire safety.​
Keywords: Fire Simulator; Smart Fire Protection; Digital Twin; AI Simulation; Emergency Training; Development Trend​

1. Introduction​
   Fire safety is an essential component of the public security system, bearing on the safety of people’s lives and property as well as social stability and development. Against the backdrop of rapid urbanization, complex scenarios such as high-rise buildings, large commercial complexes, chemical industrial parks, and underground transportation hubs are growing increasingly prevalent. Fire disasters now feature faster spread speeds, more hazardous factors, greater rescue difficulties, and frequent secondary disasters, which put forward higher requirements for the practical capabilities and emergency response efficiency of fire rescuers, as well as for the public’s fire safety literacy.​
   Traditional fire training mainly relies on on-site drills, simulated fire scene construction, and review of historical cases, which have obvious limitations. High-risk fire scenarios cannot be reproduced on a regular basis, making it impossible to conduct sufficient training on extreme disaster situations. On-site drills consume large amounts of materials and incur high costs, while causing equipment wear and environmental impacts. In addition, the low digitalization of training processes makes it difficult to accurately evaluate training effects and optimize rescue plans in a targeted manner.​
   Fire simulators break the temporal and spatial limitations of traditional training by building immersive, reproducible, and iterable simulated fire environments, enabling zero-risk, high-frequency, and full-factor fire training and emergency plan deduction. With the in-depth integration of digital technologies and the emergency fire protection industry, fire simulators have evolved from early single VR visual simulation into integrated simulation systems with multi-sensory fusion, intelligent deduction, data closed-loop management, and virtual-reality linkage. They are widely applied in practical training for fire teams, enterprise safety training, campus fire safety popularization, and emergency plan drills. Driven by national modernization of emergency management and smart fire protection construction, the fire simulator industry has entered a period of rapid development. Technological innovation, scenario expansion, and system improvement have become the core development directions of the industry. An in-depth study on its future development trends is of great practical significance for promoting the digital, intelligent, and professional upgrading of the fire protection industry.​
2. Current Development Status and Existing Shortcomings of Fire Simulators​
   2.1 Industry Development Status​
   At present, China’s fire simulator industry has achieved initial large-scale development with gradually mature technical systems and continuously expanding application scenarios. In terms of technology application, mainstream fire simulators adopt VR/AR virtual simulation technology to simulate common fire scenarios such as high-rise building fires, shop fires, chemical leakage, corridor smoke accumulation, and building collapse, restoring fire environments through visual and auditory simulation to provide immersive training experiences. Some mid-to-high-end equipment is equipped with basic sensor interaction modules, supporting practical operation simulations including fire extinguisher use, fire hose connection, fire evacuation, and emergency rescue, which can basically meet the needs of basic fire training.​
   In terms of application fields, fire simulators have formed a dual application pattern of “professional training + public science popularization”. On the one hand, fire rescue teams and emergency management training bases across the country are gradually equipped with standardized fire simulation training equipment for regular practical drills, pre-job training for new firefighters, and emergency plan deduction for complex disasters. On the other hand, lightweight fire simulation equipment has been widely introduced into campuses, communities, industrial parks, shopping malls and other places to carry out regular fire safety education, making up for the shortcomings of single form and weak experience of traditional science popularization methods. Supported by favorable policies, the continuous advancement of smart fire protection construction and the national promotion of digital fire training systems have created a sound market and policy environment for the development of the fire simulator industry.​
   2.2 Core Existing Shortcomings​
   Despite the rapid development of the fire simulator industry, there are still many shortcomings that restrict its high-quality development when compared with the practical needs of modern emergency rescue. First of all, the simulation accuracy is insufficient. Most equipment only realizes shallow visual and auditory simulation, lacking multi-dimensional sensory feedback such as tactile and force feedback. Real physical environmental characteristics of fire scenes, such as high temperature, smoke resistance, and equipment load, cannot be restored, resulting in a large gap between simulation effects and real combat scenarios. Meanwhile, most simulation systems have fixed scenarios and cannot dynamically adjust fire trends according to building structures, fire variables, and environmental parameters, leading to weak intelligent deduction capabilities.​
   Secondly, the integration of software and hardware is low, and product homogenization is serious in the industry. Most fire simulators on the market are characterized by “excessive visual effects, insufficient practical operation, and lack of data support”. The interactive hardware has low precision and poor adaptability, and software scenarios are updated slowly. In addition, equipment from different brands has inconsistent interfaces and incompatible data, making large-scale networked training and cross-regional data sharing impossible. Furthermore, the industry lacks unified technical, training and assessment standards, resulting in uneven product quality and unquantifiable training effects, which seriously affects the professionalism and standardization of fire training.​
   Finally, the absence of a data closed-loop system leads to insufficient intelligent empowerment. Traditional fire simulators only support scenario simulation and basic operational training, without real-time data collection, behavioral analysis, defect identification and plan optimization functions. There is no systematic review mechanism after training, making it impossible to form a closed-loop management of “training-analysis-optimization-improvement”, which fails to meet the needs of modern precise training.​
3. Core Future Development Trends of Fire Simulators​
   3.1 Technological Upgrading: AI and Digital Twin Driven Full-dimensional High-fidelity Simulation​
   In the future, fire simulators will completely break through the limitations of shallow visual simulation, and realize full-dimensional and high-fidelity restoration of practical combat scenarios relying on artificial intelligence, digital twin and six-degree-of-freedom somatosensory simulation technologies, which will become the core technological development trend of the industry. Digital twin technology enables 1:1 digital modeling of physical buildings, fire facilities and fire environments, accurately reproducing the structural characteristics, fire protection points, ventilation conditions, combustible distribution and other core parameters of complex scenarios such as high-rise buildings, chemical industrial parks and underground pipe corridors. At the same time, combined with hydrodynamics, fire spread algorithms and smoke diffusion models, it can deduce fire development trends in real time and dynamically adjust fire conditions according to variables such as wind speed, temperature and human operations, realizing intelligent and real-time evolution of fire disasters and completely solving the problem of fixed and static traditional simulation scenarios.​
   The in-depth integration of large artificial intelligence models will drive the intelligent upgrading of fire simulators. AI algorithms can collect multi-dimensional data such as trainers’ operational behaviors, disposal processes and decision-making judgments in real time, intelligently identify operational errors, process loopholes and decision deviations, and provide real-time error correction reminders. Meanwhile, it can automatically generate personalized training schemes according to trainers’ ability shortcomings to realize targeted training. In addition, AI can simulate extreme sudden disasters, secondary disasters, trapped personnel emergencies and other complex scenarios, urging trainers to improve emergency disposal, on-site response and collaborative combat capabilities. Equipped with six-degree-of-freedom attitude feedback platforms and somatosensory interactive hardware, it can restore physical feedback such as fire scene vibration, high-temperature perception, smoke resistance and equipment operation force, building a multi-dimensional immersive simulation environment integrating vision, hearing, touch and sensation, and making virtual training infinitely close to real fire combat scenarios.​
   3.2 Scenario Expansion: Full-factor, Full-scenario and Full-cycle Application Coverage​
   Traditional fire simulators are limited by single and poorly adaptable scenarios. In the future, they will develop towards full-factor, full-scenario and full-cycle coverage, covering the entire process of fire emergency response including pre-event prevention, in-event disposal and post-event review. In terms of scenario types, the industry will break the limitations of conventional civil fire scenarios, adding high-risk and complex extreme disaster scenarios such as chemical explosion, hazardous material leakage, forest fires, subway fires, large commercial complex collapse and high-rise rescue, realizing full coverage of various fire rescue scenarios and meeting the advanced training needs of professional rescue teams.​
   In terms of application cycles, fire simulators will empower the entire emergency management process. In the pre-event stage, they support regular training, emergency plan drills and hidden danger investigation simulation to familiarize personnel with scenario risks and rescue processes in advance. In the in-event stage, they can link real-time on-site data based on digital twins, dynamically deduce fire spread paths, optimize rescue routes and schedule rescue forces, providing decision support for on-site rescue operations. In the post-event stage, they can restore the complete rescue process, review disposal loopholes based on data, and optimize emergency plans to form a long-term improvement mechanism. In addition, the equipment will support customized scenario creation, which can quickly build exclusive simulated training scenarios according to the personalized needs of different industries and buildings, adapting to the differentiated demands of enterprises, campuses, chemical industries, rail transit and other segmented fields, and greatly improving the versatility and practicability of the equipment.​
   3.3 Model Innovation: Networked Collaborative Training and Digital Data Closed Loop​
   Relying on 5G, cloud computing and edge computing technologies, future fire simulators will break the single-machine training mode and realize networked, clustered and cross-regional collaborative training, reshaping the fire training model. The high-speed and low-latency transmission characteristics of 5G support multi-terminal synchronous networking, enabling multi-person and multi-team remote collaborative drills, simulating actual combat scenarios such as team operations, joint operations and cross-regional rescue, and improving the collaborative cooperation capability of fire teams. The cloud data platform can integrate massive training data, disaster data and disposal cases to build a standardized fire training database, realizing data sharing and resource interconnection and breaking regional and equipment barriers.​
   Meanwhile, the industry will fully build a digital closed-loop training data system. Fire simulators will be equipped with a full-dimensional data acquisition system to record core data in real time, including training duration, operation procedures, disposal efficiency, error points and decision-making time. Big data analysis will generate personalized and team-based training reports to accurately identify capability shortcomings. Combined with historical disaster cases and industrial rescue standards, the system can automatically optimize training schemes and emergency plans, forming a closed-loop management of “data collection – data analysis – defect identification – scheme optimization – precise training”. This fundamentally changes the extensive traditional training mode characterized by lack of data, review and optimization, and promotes the transformation of fire training from experience-driven to data-driven.​
   3.4 System Improvement: Coordinated Development of Standardization, Localization and Customization​
   With the gradual maturity of the industry, standardization construction will become the core support for the standardized development of fire simulators. In the future, the industry will gradually unify equipment technical parameters, simulation accuracy standards, interactive interface specifications and training assessment systems, solving the current problems of product homogenization, uneven quality and disconnected data. Unified industrial standards will standardize the whole process of equipment research and development, production, implementation and assessment, improve product professionalism and universality, and promote large-scale and standardized industrial development. At the same time, driven by the national strategy of independent and controllable technological development, the localization process of core software and hardware for fire simulators will be accelerated. Core simulation algorithms, interactive hardware and data systems will realize independent research and development, eliminating external technical dependence and improving the core competitiveness and operational stability of the industry.​
   On the basis of standardization, customized services will become the core value-added direction of the industry. Targeting the differentiated needs of professional fire teams, government and enterprise institutions, campus science popularization and research and education, the equipment will support personalized services such as hardware modification, software customization, scenario expansion, open interfaces and OEM customization. Professional training equipment will focus on high-fidelity, high-precision and combat-oriented functional customization, while popular science equipment will focus on lightweight, simple and interesting experience customization, fully adapting to the landing needs of different scenarios.​
   3.5 Application Popularization: In-depth Penetration of Public Science Popularization and Commercial Marketization​
   Early fire simulators were mainly applied to professional fire training with narrow market coverage. In the future, they will achieve comprehensive application sinking and fully penetrate the public science popularization and commercial markets, becoming a core carrier for national fire safety education. With the improvement of public fire safety awareness, lightweight, low-cost and easy-to-operate fire simulation equipment will be widely popularized in campuses, communities, government exhibition halls, research and study bases and enterprise safety training centers. Replacing traditional text and video popularization modes with immersive experience, it enables the public to intuitively perceive fire hazards, master fire extinguishing operations and familiarize themselves with evacuation procedures, effectively improving national fire safety literacy and self-rescue and mutual-rescue capabilities.​
   At the same time, fire simulators will diversify commercial application scenarios. Integrated with smart cultural tourism, fire safety research and study, and enterprise safety production training, they will build immersive fire experience projects to unify social and economic benefits. In the context of national policies requiring enterprises to carry out regular safety training and campuses to implement fire safety education, the market demand for fire simulators will continue to expand. The industry will transform from a single professional equipment track to a diversified track of “professional training + public science popularization”, with huge market development potential.​
4. Industrial Development Challenges and Countermeasures​
   4.1 Core Development Challenges​
   First, high-end technological research and development has high thresholds. The research and development of high-fidelity simulation, intelligent AI deduction and digital twin modeling requires substantial capital, technology and talent investment. Most small and medium-sized manufacturers lack independent R&D capabilities, resulting in insufficient supply of high-end products and flooding of low-end homogeneous products, which restricts the high-quality upgrading of the industry. Second, regional development is unbalanced. First and second-tier cities have complete emergency training systems and high equipment penetration rates, while third and fourth-tier cities, counties and grassroots institutions face difficulties in equipment promotion due to limited funds and insufficient awareness, leading to obvious regional development gaps. Third, the talent system lags behind industrial development. Fire simulation is an interdisciplinary field integrating fire protection expertise, computer simulation, artificial intelligence and hardware development. At present, the industry is faced with a shortage of compound professional talents, which cannot match the rapid development of the industry.​
   4.2 Targeted Countermeasures​
   To address technical shortcomings, the industry should strengthen industry-university-research cooperation, build a joint R&D platform by linking universities, scientific research institutions and enterprises, focus on tackling key problems in core simulation algorithms, intelligent deduction systems and somatosensory interactive hardware, reduce technology implementation costs, and promote the popularization of high-end technologies. Meanwhile, strengthen intellectual property protection, encourage technological innovation, eliminate low-end homogeneous products, and optimize the industrial structure. To solve the problem of unbalanced regional development, rely on policy support to increase capital investment in grassroots and county-level fire training systems, launch cost-effective popularized lightweight equipment, reduce the threshold for grassroots promotion, and realize full coverage of fire simulation training systems.​
   In terms of talent shortage, universities can set up specialized courses in emergency simulation and smart fire protection to cultivate compound professional talents. Enterprises can build talent training and practice systems to strengthen technical training for on-the-job personnel, forming a professional and systematic talent team to provide long-term talent support for industrial development. In addition, industry associations should accelerate the improvement of industrial standard systems, standardize the whole process of product research and development, promotion and assessment, and promote the standardized and sustainable development of the industry.​
5. Conclusion​
   Driven by the rapid iteration of digital technologies and the modernization reform of emergency management, fire simulators, as a core segmented field of smart fire protection, are undergoing disruptive development changes. In the future, the industry will take intelligent technology as the core driving force to realize technological upgrading of high-fidelity simulation, intelligent deduction and data closed-loop management; expand application boundaries of practical training, emergency plan deduction and public science popularization through full-scenario coverage; optimize the industrial structure with the support of standardization, localization and customization; and realize dual empowerment of professional capability improvement and public science popularization through comprehensive popularization.​
   The iterative upgrading of fire simulators can not only solve the prominent pain points of traditional fire training, comprehensively improve the practical combat capabilities of fire rescue teams and optimize the emergency rescue plan system, but also normalize, immerse and popularize fire safety education, consolidating the defense line of social public security. In the future, with continuous technological innovation, systematic improvement and expanding market scale, fire simulators will be deeply integrated into the construction of smart cities and smart emergency systems, becoming a core force driving the digital, intelligent and modern transformation of the fire protection industry, and providing solid support for the high-quality development of social public security undertakings.