Holographic interactive display method and device for cultural relics

Abstract

The application discloses a kind of cultural relics holographic interactive display method and device, it is related to cultural relic protection and digital exhibition technical field, the method includes: posture synchronization is carried out between virtual cultural relics in holographic projection cabin and entity cultural relics in cultural relic isolation cabin, and consistent display of virtual and real is formed;Real-time acquisition multi-modal environment data, output future temperature and humidity variation trend through deep learning environment prediction model;Based on the trend, constant temperature and humidity control strategy is generated using deep reinforcement learning model and is executed;Fire characteristic in multi-modal environment data is extracted, and fire identification result is obtained through fire hazard identification model;Based on the identification result, inert gas fire extinguishing strategy is selectively executed, and holographic interactive display is interrupted after execution, and holographic projection is switched to brightness adaptive three-dimensional evacuation guidance mode, the extreme virtual and real fusion experience is realized, and through artificial intelligence, advanced regulation, cascading fire prevention and cross-border emergency cultural relic safety closed-loop protection are realized.

Description

Technical Field

[0001] This invention relates to the field of cultural relic protection and digital exhibition technology, and more specifically, to a method and device for holographic interactive display of cultural relics. Background Technology

[0002] In existing museum exhibition systems, the safety protection of physical artifacts and their digital holographic display are often two independent systems. On the one hand, the temperature and humidity control of traditional artifact isolation display cases often uses simple threshold start / stop or conventional PID algorithms. This reactive control has serious lag, causing abrupt fluctuations in temperature and humidity within the case. Over time, this can cause irreversible damage to fragile artifacts such as paintings, calligraphy, and lacquerware. Simultaneously, the fire protection systems of traditional display cases are mostly based on physical temperature / smoke detection and explosion, lacking intelligent prediction of early-stage fire hazards. Direct spraying or gas release can easily cause secondary impacts on the artifacts. On the other hand, existing holographic projection displays are usually existing as independent external multimedia devices. The holographic images lack a strong spatial coordinate binding with the physical artifacts inside the display case, easily causing a visual disconnect between reality and illusion when viewers move their perspective. Furthermore, existing display systems lack a linkage mechanism with the underlying safety system. In the event of a fire, the holographic equipment can only passively shut down, unable to be transformed into a tool to assist in personnel evacuation during a crisis. Summary of the Invention

[0003] The present invention provides a method and device for holographic interactive display of cultural relics, aiming to solve the problems of lagging environmental control, passive fire prevention mechanism, disconnect between virtual and real display and lack of emergency response in existing exhibition technology.

[0004] The first aspect of this invention provides a method for interactive holographic display of cultural relics, comprising: The virtual cultural relics in the holographic projection cabin are synchronized with the physical cultural relics in the cultural relic isolation cabin to form a consistent display of virtual and real elements. Real-time acquisition of multimodal environmental data within the cultural relic isolation chamber, and identification of the multimodal environmental data through a pre-set deep learning environment prediction model, outputting future temperature and humidity change trends; Based on the future temperature and humidity change trend, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber, and the constant temperature and humidity control of the cultural relic isolation chamber is carried out according to the constant temperature and humidity control strategy. After the cultural relic isolation chamber is subjected to constant temperature and humidity control, fire features are extracted from the multimodal environmental data, and the fire features are identified by a pre-set fire hazard identification model to obtain fire identification results. Based on the fire identification results, an inert gas fire extinguishing strategy is selectively executed. Based on the execution results of the inert gas fire extinguishing strategy, the holographic interactive display in the holographic projection cabin is interrupted, and the holographic projection is switched to a brightness-adaptive three-dimensional evacuation guidance mode.

[0005] Furthermore, the virtual artifacts within the holographic projection cabin are synchronized with the physical artifacts in the artifact isolation cabin to create a consistent virtual-real display, including: Using the center point of the bottom surface of the cultural relic isolation chamber as the first origin, a coordinate system for the cultural relic isolation chamber is constructed, and the first three-dimensional coordinates of the physical cultural relic in the cultural relic isolation chamber in the coordinate system are obtained through the principle of binocular vision positioning. A holographic projection cabin coordinate system is constructed with the center point of the bottom surface of the holographic projection cabin as the origin; Virtual cultural relics are projected inside the holographic projection cabin, and the second three-dimensional coordinates of the virtual cultural relics and the corresponding points of the physical cultural relics in the coordinate system of the holographic projection cabin are made consistent with the first three-dimensional coordinates, forming a consistent display between the virtual and the real.

[0006] Furthermore, multimodal environmental data within the artifact isolation chamber is collected in real time, and the data is identified using a pre-set deep learning environment prediction model to output future temperature and humidity change trends, including: Real-time data collection of temperature, humidity, airflow velocity, and VOCs concentration within the artifact isolation chamber yields multimodal environmental data. The multimodal environmental data is input into a pre-set deep learning environment prediction model for identification to obtain future temperature and humidity change trends. The pre-set deep learning environment prediction model is a TCN model, an LSTM model, or a combination of both.

[0007] Furthermore, based on the aforementioned future temperature and humidity change trends, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber, and the constant temperature and humidity control of the cultural relic isolation chamber is performed according to the constant temperature and humidity control strategy, including: The future temperature and humidity change trend is used as the state space input of the pre-set deep reinforcement learning model, and the air supply speed of the micro-hole air supply component and the power of the heat and cold source are used as the action space to obtain the constant temperature and humidity control strategy. According to the constant temperature and humidity control strategy, the micro-hole air supply component and the heat and cold source are controlled to operate in order to control the temperature and humidity of the cultural relic isolation chamber.

[0008] Furthermore, after obtaining the constant temperature and humidity control strategy, it also includes: The reward function value is obtained by using the minimization of temperature and humidity fluctuations and the minimization of regulation energy consumption as reward functions; The original state space, the constant temperature and humidity control strategy, the reward function value, and the new state space after executing the constant temperature and humidity control strategy are constructed as historical experience. The historical experience is stored using a first-in-first-out (FIFO) strategy and a fixed-size experience pool strategy to obtain a historical experience pool. After each preset experience learning cycle, the deep reinforcement learning model is updated using the historical experience pool to obtain an updated deep reinforcement learning model, and then the updated deep reinforcement learning model is used for constant temperature and humidity control.

[0009] Furthermore, the reward function is defined as minimizing temperature and humidity fluctuations and minimizing regulation energy consumption: ; in, For the reward function, For temperature fluctuation variance, For humidity fluctuation variance, For energy consumption, These are the weighting coefficients corresponding to the variance of temperature fluctuations. These are the weighting coefficients corresponding to the variance of humidity fluctuations. These are the corresponding weighting coefficients.

[0010] Further, fire features are extracted from the multimodal environmental data, including: Calculate the abrupt gradient characteristics of temperature data, extract the light intensity distribution characteristics scattered by smoke particles, and / or extract the anomalous jump characteristics of VOCs concentration data; The abrupt gradient features, light intensity distribution features, and abnormal jump features are fused into a high-dimensional fire feature vector to obtain the fire features.

[0011] Furthermore, the fire characteristics are identified using a pre-set fire hazard identification model to obtain fire identification results, including: The fire features are used as input to a pre-set fire hazard identification model to obtain the probability distribution of the output of the pre-set fire hazard identification model. Based on the probability distribution output by the fire hazard identification model, the probability of a fire hazard is determined, and the fire identification result is determined based on the probability of the fire hazard. Based on the fire identification results, an inert gas fire suppression strategy is selectively implemented, including: If the fire identification result indicates that the probability of fire hazard is within the first preset threshold range, then inert gas fire suppression will not be performed, and the air supply speed of the micro-hole air supply component will be turned up to the maximum for physical suppression. If the fire identification result indicates that the probability of fire hazard is within the second preset threshold range, it is determined to be an open flame threat, triggering the execution of the inert gas total flooding fire suppression strategy.

[0012] Furthermore, the holographic projection switches to a brightness-adaptive 3D evacuation guidance mode, including: The holographic projection cabin projects three-dimensional safety escape route information and marks the escape route in yellow for three-dimensional evacuation guidance. The smoke concentration is collected by a smoke concentration sensor, and based on the smoke concentration, the output power of the light source of the holographic projection device is dynamically increased in a proportional manner to enhance the visibility of the three-dimensional safety escape path indication information.

[0013] A second aspect of the present invention provides a holographic interactive display device for cultural relics, comprising: The holographic display and interaction module is used to synchronize the posture of the virtual cultural relics in the holographic projection cabin with the physical cultural relics in the cultural relics isolation cabin, so as to form a consistent display between the virtual and the real. The temperature and humidity prediction module is used to collect multimodal environmental data in the cultural relic isolation chamber in real time, and to identify the multimodal environmental data through a pre-set deep learning environment prediction model, and output the future temperature and humidity change trend. The constant temperature and humidity control module is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber based on the future temperature and humidity change trend using a pre-set deep reinforcement learning model, and to control the temperature and humidity of the cultural relic isolation chamber according to the constant temperature and humidity control strategy. The fire identification module is used to extract fire features from the multimodal environmental data after the cultural relic isolation chamber is subjected to constant temperature and humidity control, and to identify the fire features through a pre-set fire hazard identification model to obtain the fire identification result. The evacuation guidance module is used to selectively execute an inert gas fire extinguishing strategy based on the fire identification results, and based on the execution results of the inert gas fire extinguishing strategy, interrupt the holographic interactive display in the holographic projection cabin and link the holographic projection to switch to a brightness-adaptive three-dimensional evacuation guidance mode.

[0014] Beneficial effects: This invention provides a method and apparatus for holographic interactive display of cultural relics. The method includes: synchronizing the posture of virtual cultural relics in a holographic projection chamber with that of physical cultural relics in a cultural relic isolation chamber to form a consistent virtual-real display; collecting multimodal environmental data in real time and outputting future temperature and humidity change trends through a deep learning environment prediction model; generating and executing a constant temperature and humidity control strategy based on the trend using a deep reinforcement learning model; extracting fire features from the multimodal environmental data and obtaining fire identification results through a fire hazard identification model; selectively executing an inert gas fire extinguishing strategy based on the identification results, and interrupting the holographic interactive display after execution, linking the holographic projection to switch to a brightness-adaptive three-dimensional evacuation guidance mode, achieving an ultimate virtual-real fusion experience, and realizing a closed-loop protection of cultural relic safety through artificial intelligence, including advanced control, cascaded fire prevention, and cross-border emergency response. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a method for interactive holographic display of cultural relics according to an embodiment of the present invention; Figure 2 This is a structural diagram of a holographic interactive display device for cultural relics according to an embodiment of the present invention; Among them, 201-Holographic display and interaction module, 202-Temperature and humidity prediction module, 203-Constant temperature and humidity control module, 204-Fire identification module, and 205-Evacuation guidance module. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, this embodiment of the invention provides a method for interactive holographic display of cultural relics, including: S101. Synchronize the postures of the virtual cultural relics in the holographic projection cabin with the physical cultural relics in the cultural relics isolation cabin to form a consistent display of virtual and real; S102. Real-time acquisition of multimodal environmental data inside the cultural relic isolation chamber, and identification of the multimodal environmental data through a pre-set deep learning environment prediction model, outputting future temperature and humidity change trends; S103. Based on the future temperature and humidity change trend, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber, and the constant temperature and humidity control strategy is used to control the temperature and humidity of the cultural relic isolation chamber. S104. After the cultural relic isolation chamber is subjected to constant temperature and humidity control, fire features are extracted from the multimodal environmental data, and the fire features are identified by a pre-set fire hazard identification model to obtain fire identification results. S105. Based on the fire identification results, selectively execute the inert gas fire extinguishing strategy, and based on the execution results of the inert gas fire extinguishing strategy, interrupt the holographic interactive display in the holographic projection cabin, and link the holographic projection to switch to the brightness-adaptive three-dimensional evacuation guidance mode.

[0019] In some possible embodiments, the virtual artifacts inside the holographic projection chamber are synchronized with the physical artifacts in the artifact isolation chamber to form a consistent virtual-real display, including: Using the center point of the bottom surface of the cultural relic isolation chamber as the first origin, a coordinate system for the cultural relic isolation chamber is constructed, and the first three-dimensional coordinates of the physical cultural relic in the cultural relic isolation chamber in the coordinate system are obtained through the principle of binocular vision positioning. A holographic projection cabin coordinate system is constructed with the center point of the bottom surface of the holographic projection cabin as the origin; Virtual cultural relics are projected inside the holographic projection cabin, and the second three-dimensional coordinates of the virtual cultural relics and the corresponding points of the physical cultural relics in the coordinate system of the holographic projection cabin are made consistent with the first three-dimensional coordinates, forming a consistent display between the virtual and the real.

[0020] To overcome the visual isolation caused by glass display cases, this embodiment of the invention employs dual-coordinate system alignment technology.

[0021] Specifically, firstly, a coordinate system (e.g., an XYZ coordinate system) for the artifact isolation chamber is constructed, with the geometric center point of the bottom surface as the first origin. A binocular vision camera is installed along the top edge of the isolation chamber. Using binocular vision positioning principles (such as epipolar constraints and feature point matching), the first three-dimensional coordinates (x1, y1, z1) of key feature points of the artifact inside the chamber (such as the tips of the handles and the ends of the feet of a bronze vessel) are acquired in real time within the isolation chamber's coordinate system. Simultaneously, a coordinate system for the holographic projection chamber (a naked-eye 3D display space surrounding the isolation chamber) is constructed, with the center point of the bottom surface as the origin. Assuming the holographic projection chamber is isolated from the artifact isolation chamber, corresponding points (i.e., key feature points of the artifact) can be aligned with the first three-dimensional coordinates in the holographic projection chamber's coordinate system, thus achieving a virtual artifact display with consistent form and posture.

[0022] For holographic projection of cultural relics, virtual artifacts support interactive exhibition methods such as magnification, disassembly, and triggering artifact interpretation, allowing visitors to both browse physical artifacts and gain a deeper understanding of them through virtual viewing. For example, for smaller artifacts or those with complex surface textures (such as jade carvings or bronze inscriptions), visitors can issue magnification commands via gestures or touchscreens. Upon receiving the command, the system controls the virtual artifact in the holographic projection booth to zoom in on the current spatial position of the physical artifact, moving along the observer's line of sight (i.e., the Dolly Zoom effect). During this process, the physical artifact remains stationary, while the virtual image floating on its surface is magnified to 3-5 times its original size. For instance, when a visitor triggers the magnification command, the tiny inscription area on the bottom of a physical bronze artifact is proportionally magnified and displayed above the physical artifact in the holographic space. Visitors can clearly see every detail of the virtual inscription's carving, solving the problem of physical artifacts being limited by display distance and lighting conditions, making it difficult to see microscopic textures.

[0023] For artifacts with complex internal structures (such as nested coffins, ancient architectural models with mortise and tenon joints, or bronzes with multiple inner walls), the system supports exploded view-style disassembly interaction. When visitors make specific gestures such as pushing outwards or slicing, the system's rendering engine, based on a pre-built digital twin of the artifact, moves the virtual artifact's components (such as the belly, ears, feet, and inner mold of a ding) outwards at a uniform speed along a preset three-dimensional vector axis, with the geometric center of the physical artifact as the origin. At this time, the visitor's visual experience is that the physical artifact inside the glass chamber remains unchanged, but the holographic image covering it seems to disintegrate and spread outwards, clearly exposing the mortise and tenon joints or casting residues inside the artifact. Visitors can even put their hands into the gaps where the holographic image spreads out, creating a strong sense of spatial immersion without touching the real, fragile artifact.

[0024] Multi-dimensional hotspot areas are pre-attached to the digital twin model of the virtual cultural relic. When a visitor's gaze (captured by an eye tracker) or gesture hovers over a specific area of ​​the holographic virtual cultural relic (such as a crack on the surface of porcelain or a specific inscription on a painting or calligraphy) for more than a preset time (e.g., 2 seconds), the system automatically triggers an in-depth interpretation of that area. The interpretation is presented in a hybrid virtual-real manner: for example, above a crack on a physical cultural relic, the holographic system dynamically generates a 3D animation simulation of the cause of the crack (such as a force analysis diagram), and displays a floating text description or plays a corresponding audio narration. For unearthed cultural relics, it is even possible to trigger a restoration and evolution interaction, that is, in the holographic space, a virtual intact state dynamically grows from the damaged state of the physical cultural relic as the base, allowing visitors to intuitively compare the differences between the unearthed state and the original appearance of the cultural relic.

[0025] During all the above-mentioned magnification and disassembly interactions, the movement trajectory of the virtual artifact is strictly limited within the preset safety boundaries of the holographic projection cabin. When the interaction ends or the visitor leaves, the virtual artifact will automatically return to its initial state of complete overlap with the physical artifact with a smooth and gradual curve, ensuring the smoothness and safety of the display process.

[0026] In some possible embodiments, multimodal environmental data within the artifact isolation chamber is collected in real time, and the multimodal environmental data is identified using a pre-set deep learning environment prediction model to output future temperature and humidity change trends, including: Real-time data collection of temperature, humidity, airflow velocity, and VOCs concentration within the artifact isolation chamber yields multimodal environmental data. The multimodal environmental data is input into a pre-set deep learning environment prediction model for identification to obtain future temperature and humidity change trends. The pre-set deep learning environment prediction model is a TCN model, an LSTM model, or a combination of both.

[0027] Traditional PID control suffers from overshoot oscillations caused by thermal inertia. This invention introduces a prediction and reinforcement learning mechanism.

[0028] Optionally, a multimodal sensor network within the isolation chamber collects real-time temperature, humidity, airflow velocity, and VOCs (volatile organic compounds, reflecting air pollution and organic matter degradation) concentration data, constituting multimodal environmental data. This data is then input into a pre-trained deep learning environmental prediction model. Preferably, this model employs a combined architecture of TCN (Temporal Convolutional Network) and LSTM (Long Short-Term Memory Network). TCN extracts local spatial features from the multi-sensor data through dilated causal convolution, while LSTM captures long-term temporal dependencies caused by the day-night cycle and peak visitor flow in the exhibition hall, ultimately outputting temperature and humidity change trend curves for the next 10-30 minutes.

[0029] In some possible embodiments, based on the future temperature and humidity change trends, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber, and the cultural relic isolation chamber is subjected to constant temperature and humidity control according to the constant temperature and humidity control strategy, including: The future temperature and humidity change trend is used as the state space input of the pre-set deep reinforcement learning model, and the air supply speed of the micro-hole air supply component and the power of the heat and cold source are used as the action space to obtain the constant temperature and humidity control strategy. According to the constant temperature and humidity control strategy, the micro-hole air supply component and the heat and cold source are controlled to operate in order to control the temperature and humidity of the cultural relic isolation chamber.

[0030] The aforementioned future temperature and humidity trends are used as the State of a pre-set deep reinforcement learning model (such as the DDPG or DQN model). The airflow velocity of the micro-orifice air supply component and the power of the heat and cold sources (such as semiconductor thermoelectric components) are used as the Action space. After the model outputs an action, it controls the micro-orifice air supply component and the heat and cold sources to perform fine-tuning. Because micro-orifice air supply can form laminar flow, it avoids direct blowing on the cultural relics. It is worth noting that the heat source and cold source can be separated, thus forming more precise control.

[0031] In some possible embodiments, after obtaining the constant temperature and humidity control strategy, the method further includes: The reward function value is obtained by using the minimization of temperature and humidity fluctuations and the minimization of regulation energy consumption as reward functions; The original state space, the constant temperature and humidity control strategy, the reward function value, and the new state space after executing the constant temperature and humidity control strategy are constructed as historical experience. The historical experience is stored using a first-in-first-out (FIFO) strategy and a fixed-size experience pool strategy to obtain a historical experience pool. After each preset experience learning cycle, the deep reinforcement learning model is updated using the historical experience pool to obtain an updated deep reinforcement learning model, and then the updated deep reinforcement learning model is used for constant temperature and humidity control.

[0032] In some possible embodiments, the reward function is to minimize temperature and humidity fluctuations and minimize regulation energy consumption: ; in, For the reward function, For temperature fluctuation variance, For humidity fluctuation variance, For energy consumption, These are the weighting coefficients corresponding to the variance of temperature fluctuations. These are the weighting coefficients corresponding to the variance of humidity fluctuations. These are the corresponding weighting coefficients. For example, for paintings and calligraphy that are extremely sensitive to humidity, The weight can be increased.

[0033] The original state space, the control strategy (action), the reward function value, and the new state space generated after the control are executed are constructed into a historical experience. A first-in-first-out (FIFO) strategy with a fixed-size experience pool (e.g., a pool of 10,000 experiences) is used to store the historical experience. Every preset learning cycle (e.g., every 50 time steps), historical experience data is randomly extracted from the historical experience pool and backpropagated to update the neural network of the deep reinforcement learning model. The updated model is then continuously used for control, resulting in increasingly smooth and precise temperature and humidity control.

[0034] In some possible embodiments, fire features are extracted from the multimodal environmental data, including: Calculate the abrupt gradient characteristics of temperature data, extract the light intensity distribution characteristics scattered by smoke particles, and / or extract the anomalous jump characteristics of VOCs concentration data; The abrupt gradient features, light intensity distribution features, and abnormal jump features are fused into a high-dimensional fire feature vector to obtain the fire features.

[0035] Temperature and humidity control ensures routine safety, while the fire detection module handles extreme emergencies. Three types of fire features can be extracted from multimodal environmental data: the abrupt gradient features of temperature data (dT / dt, reflecting the rate of temperature rise), the light intensity distribution features of smoke particle scattering (obtained through a photoelectric smoke sensor), and the anomalous jump features of VOCs concentration data (VOCs increase dramatically during the smoldering stage). These three are then fused into a high-dimensional fire feature vector through splicing or weighted fusion. It is worth noting that for each feature, data from multiple time steps can be obtained to form time-series data, improving decision-making accuracy. Since the light intensity distribution features of smoke particle scattering are required, the multimodal data should also include sensing data from the photoelectric smoke sensor.

[0036] In some possible embodiments, the fire characteristics are identified using a pre-set fire hazard identification model to obtain fire identification results, including: The fire features are used as input to a pre-set fire hazard identification model to obtain the probability distribution of the output of the pre-set fire hazard identification model. Based on the probability distribution output by the fire hazard identification model, the probability of a fire hazard is determined, and the fire identification result is determined based on the probability of the fire hazard. Based on the fire identification results, an inert gas fire suppression strategy is selectively implemented, including: If the fire identification result indicates that the probability of fire hazard is within the first preset threshold range, then inert gas fire suppression will not be performed, and the air supply speed of the micro-hole air supply component will be turned up to the maximum for physical suppression. If the fire identification result indicates that the probability of fire hazard is within the second preset threshold range, it is determined to be an open flame threat, triggering the execution of the inert gas total flooding fire suppression strategy.

[0037] The fire feature vector is input into a fire hazard identification model (such as a convolutional neural network or SVM classifier), which outputs a probability distribution to determine the probability of a fire hazard. For example, if the fire hazard identification model only identifies two categories: the presence of a fire or the absence of a fire, then the probability distribution output by the model will be the probability of the presence of a fire and the probability of the absence of a fire. The probability of the presence of a fire is the probability of a fire hazard, which can be used to identify the fire outcome.

[0038] For example, Level 1 (physical suppression): If the probability of a fire hazard is within the first preset threshold range (e.g., 40%, 80%), it indicates that there may be external heat radiation or abnormal circuit heating, but no open flame has yet been ignited. In this case, inert gas extinguishing is not used (to avoid sudden pressure changes impacting fragile artifacts and unnecessary gas consumption). Instead, the smoothing limitations of deep reinforcement learning are bypassed, and the airflow velocity of the micro-orifice air supply component is maximized to form a strong airflow barrier, physically suppressing the fire by rapidly removing heat. It is worth noting that since air supply is required, air outlets also need to be installed in the artifact isolation chamber to create airflow.

[0039] Level 2 (Total Flooding Fire Extinguishing): If the probability of a fire hazard exceeds the second preset threshold (e.g., [80%, 100%]), it is determined to be a threat of open flame. The system triggers the execution of an inert gas (such as IG541 or nitrogen) total flooding fire extinguishing strategy in milliseconds, instantly reducing the oxygen concentration in the isolation chamber to below 15%, achieving rapid fire extinguishing with no residue.

[0040] In some possible embodiments, the linkage holographic projection switches to a brightness-adaptive three-dimensional evacuation guidance mode, including: The holographic projection cabin projects three-dimensional safety escape route information and marks the escape route in yellow for three-dimensional evacuation guidance. The smoke concentration is collected by a smoke concentration sensor, and based on the smoke concentration, the output power of the light source of the holographic projection device is dynamically increased in a proportional manner to enhance the visibility of the three-dimensional safety escape path indication information.

[0041] Once the Level 2 total flooding fire suppression strategy is triggered, the holographic display and interaction module immediately interrupts the current cultural display content (such as virtual artifact disassembly demonstrations). The system then switches the holographic projection to a brightness-adaptive 3D evacuation guidance mode.

[0042] Specifically, the holographic projection cabin began projecting three-dimensional safety escape route information in mid-air, highlighting the escape route in yellow to emphasize visual warnings.

[0043] Simultaneously, an external smoke concentration sensor collects the smoke concentration in the environment. Because smoke causes strong Mie scattering and absorption of light, resulting in a blurred holographic image, a proportional strategy is employed to dynamically increase the light source output power of the holographic projection device (i.e., the higher the smoke concentration, the higher the display brightness, until maximum brightness is reached). By automatically increasing the projection brightness as the smoke thickens, the visibility and penetration of the three-dimensional yellow safety escape path in dense smoke are effectively enhanced, allowing the holographic display case to transform into a life-saving device in a crisis.

[0044] The beneficial effects of this invention are: By establishing a dual coordinate system and achieving consistent mapping of the three-dimensional coordinates of corresponding points, it is ensured that the virtual holographic image and the physical cultural relic maintain millimeter-level spatial alignment from any viewing angle, completely eliminating the sense of visual disconnect.

[0045] By using the TCN / LSTM deep learning model to predict future trends and combining it with deep reinforcement learning to provide smooth intervention in advance, the step fluctuations of traditional temperature and humidity control are completely eliminated, and the microenvironment of cultural relics is made extremely stable.

[0046] It proposes a cascaded intelligent fire prevention and cross-border emergency response system that combines probability assessment, physical suppression, and gas extinguishing to avoid the impact of extinguishing media caused by false alarms. More importantly, in extreme fire situations, the holographic display equipment is transformed into a high-penetration intelligent escape display, whose brightness is adaptively adjusted proportionally to the smoke concentration, realizing the system-level integration of cultural relic protection equipment and personnel safety protection equipment.

[0047] like Figure 2 As shown, this embodiment of the invention provides a holographic interactive display device for cultural relics, comprising: The holographic display interaction module 201 is used to synchronize the posture of the virtual cultural relics in the holographic projection cabin with the physical cultural relics in the cultural relics isolation cabin, so as to form a consistent display between virtual and real. The temperature and humidity prediction module 202 is used to collect multimodal environmental data in the cultural relic isolation chamber in real time, and to identify the multimodal environmental data through a pre-set deep learning environment prediction model, and output the future temperature and humidity change trend. The constant temperature and humidity control module 203 is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber based on the future temperature and humidity change trend using a pre-set deep reinforcement learning model, and to control the temperature and humidity of the cultural relic isolation chamber according to the constant temperature and humidity control strategy. The fire identification module 204 is used to extract fire features from the multimodal environmental data after the cultural relic isolation chamber is subjected to constant temperature and humidity control, and to identify the fire features through a pre-set fire hazard identification model to obtain fire identification results. The evacuation guidance module 205 is used to selectively execute an inert gas fire extinguishing strategy based on the fire identification results, and based on the execution results of the inert gas fire extinguishing strategy, interrupt the holographic interactive display in the holographic projection cabin and link the holographic projection to switch to a brightness-adaptive three-dimensional evacuation guidance mode.

[0048] The holographic interactive display device for cultural relics provided in this embodiment of the invention can execute the technical solution described in any of the above embodiments. Its principle and beneficial effects are similar, and will not be repeated here.

[0049] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0050] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, apparatuses, electronic devices, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0051] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0052] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0053] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0054] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0055] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for interactive holographic display of cultural relics, characterized in that, include: The virtual cultural relics in the holographic projection cabin are synchronized with the physical cultural relics in the cultural relic isolation cabin to form a consistent display of virtual and real elements. Real-time acquisition of multimodal environmental data within the cultural relic isolation chamber, and identification of the multimodal environmental data through a pre-set deep learning environment prediction model, outputting future temperature and humidity change trends; Based on the future temperature and humidity change trend, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber, and the constant temperature and humidity control of the cultural relic isolation chamber is carried out according to the constant temperature and humidity control strategy. After the cultural relic isolation chamber is subjected to constant temperature and humidity control, fire features are extracted from the multimodal environmental data, and the fire features are identified by a pre-set fire hazard identification model to obtain fire identification results. Based on the fire identification results, an inert gas fire extinguishing strategy is selectively executed. Based on the execution results of the inert gas fire extinguishing strategy, the holographic interactive display in the holographic projection cabin is interrupted, and the holographic projection is switched to a brightness-adaptive three-dimensional evacuation guidance mode.

2. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, The virtual artifacts inside the holographic projection chamber are synchronized with the physical artifacts in the artifact isolation chamber to create a consistent virtual-real display, including: Using the center point of the bottom surface of the cultural relic isolation chamber as the first origin, a coordinate system for the cultural relic isolation chamber is constructed, and the first three-dimensional coordinates of the physical cultural relic in the cultural relic isolation chamber in the coordinate system are obtained through the principle of binocular vision positioning. A holographic projection cabin coordinate system is constructed with the center point of the bottom surface of the holographic projection cabin as the origin; Virtual cultural relics are projected inside the holographic projection cabin, and the second three-dimensional coordinates of the virtual cultural relics and the corresponding points of the physical cultural relics in the coordinate system of the holographic projection cabin are made consistent with the first three-dimensional coordinates, forming a consistent display between the virtual and the real.

3. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, Real-time acquisition of multimodal environmental data within the artifact isolation chamber, and identification of the multimodal environmental data using a pre-set deep learning environment prediction model, outputting future temperature and humidity change trends, including: Real-time data collection of temperature, humidity, airflow velocity, and VOCs concentration within the artifact isolation chamber yields multimodal environmental data. The multimodal environmental data is input into a pre-set deep learning environment prediction model for identification to obtain future temperature and humidity change trends. The pre-set deep learning environment prediction model is a TCN model, an LSTM model, or a combination of both.

4. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, Based on the predicted future temperature and humidity trends, a pre-set deep reinforcement learning model is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber. The temperature and humidity of the isolation chamber are then controlled according to this strategy, including: The future temperature and humidity change trend is used as the state space input of the pre-set deep reinforcement learning model, and the air supply speed of the micro-hole air supply component and the power of the heat and cold source are used as the action space to obtain the constant temperature and humidity control strategy. According to the constant temperature and humidity control strategy, the micro-hole air supply component and the heat and cold source are controlled to operate in order to control the temperature and humidity of the cultural relic isolation chamber.

5. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, After obtaining the constant temperature and humidity control strategy, it also includes: The reward function value is obtained by using the minimization of temperature and humidity fluctuations and the minimization of regulation energy consumption as reward functions; The original state space, the constant temperature and humidity control strategy, the reward function value, and the new state space after executing the constant temperature and humidity control strategy are constructed as historical experience. The historical experience is stored using a first-in-first-out (FIFO) strategy and a fixed-size experience pool strategy to obtain a historical experience pool. After each preset experience learning cycle, the deep reinforcement learning model is updated using the historical experience pool to obtain an updated deep reinforcement learning model, and then the updated deep reinforcement learning model is used for constant temperature and humidity control.

6. The method for interactive holographic display of cultural relics according to claim 5, characterized in that, The reward function is defined as minimizing temperature and humidity fluctuations and minimizing regulation energy consumption. ； in, For the reward function, For temperature fluctuation variance, For humidity fluctuation variance, For energy consumption, These are the weighting coefficients corresponding to the variance of temperature fluctuations. These are the weighting coefficients corresponding to the variance of humidity fluctuations. These are the corresponding weighting coefficients.

7. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, Extracting fire features from the multimodal environmental data includes: Calculate the abrupt gradient characteristics of temperature data, extract the light intensity distribution characteristics scattered by smoke particles, and / or extract the anomalous jump characteristics of VOCs concentration data; The abrupt gradient features, light intensity distribution features, and abnormal jump features are fused into a high-dimensional fire feature vector to obtain the fire features.

8. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, The fire characteristics are identified using a pre-set fire hazard identification model to obtain fire identification results, including: The fire features are used as input to a pre-set fire hazard identification model to obtain the probability distribution of the output of the pre-set fire hazard identification model. Based on the probability distribution output by the fire hazard identification model, the probability of a fire hazard is determined, and the fire identification result is determined based on the probability of the fire hazard. Based on the fire identification results, an inert gas fire suppression strategy is selectively implemented, including: If the fire identification result indicates that the probability of fire hazard is within the first preset threshold range, then inert gas fire suppression will not be performed, and the air supply speed of the micro-hole air supply component will be turned up to the maximum for physical suppression. If the fire identification result indicates that the probability of fire hazard is within the second preset threshold range, it is determined to be an open flame threat, triggering the execution of the inert gas total flooding fire suppression strategy.

9. The method for interactive holographic display of cultural relics according to claim 1, characterized in that, The linked holographic projection switches to a brightness-adaptive 3D evacuation guidance mode, including: The holographic projection cabin projects three-dimensional safety escape route information and marks the escape route in yellow for three-dimensional evacuation guidance. The smoke concentration is collected by a smoke concentration sensor, and based on the smoke concentration, the output power of the light source of the holographic projection device is dynamically increased in a proportional manner to enhance the visibility of the three-dimensional safety escape path indication information.

10. A holographic interactive display device for cultural relics, characterized in that, include: The holographic display and interaction module is used to synchronize the posture of the virtual cultural relics in the holographic projection cabin with the physical cultural relics in the cultural relics isolation cabin, so as to form a consistent display between the virtual and the real. The temperature and humidity prediction module is used to collect multimodal environmental data in the cultural relic isolation chamber in real time, and to identify the multimodal environmental data through a pre-set deep learning environment prediction model, and output the future temperature and humidity change trend. The constant temperature and humidity control module is used to generate a constant temperature and humidity control strategy for the cultural relic isolation chamber based on the future temperature and humidity change trend using a pre-set deep reinforcement learning model, and to control the temperature and humidity of the cultural relic isolation chamber according to the constant temperature and humidity control strategy. The fire identification module is used to extract fire features from the multimodal environmental data after the cultural relic isolation chamber is subjected to constant temperature and humidity control, and to identify the fire features through a pre-set fire hazard identification model to obtain the fire identification result. The evacuation guidance module is used to selectively execute an inert gas fire extinguishing strategy based on the fire identification results, and based on the execution results of the inert gas fire extinguishing strategy, interrupt the holographic interactive display in the holographic projection cabin and link the holographic projection to switch to a brightness-adaptive three-dimensional evacuation guidance mode.

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