system

Abstract

The system according to this embodiment aims to design creative and flexible fireworks shows and improve environmental responsiveness and safety. [Solution] The system according to the embodiment comprises a generation unit, an optimization unit, an adjustment unit, a monitoring unit, and a planning unit. The generation unit analyzes themes and trends and generates creative fireworks designs. The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks designs generated by the generation unit. The adjustment unit checks the weather and wind direction in real time and adjusts the execution of the show. The monitoring unit monitors safety risks with sensors and takes countermeasures before any abnormalities occur. The planning unit automatically calculates the required types and quantities of fireworks and formulates a production plan.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there are problems that it is difficult to maintain the consistency between the design and execution of a fireworks show, the responsiveness to environmental constraints is insufficient, and it is difficult to flexibly change the performance based on the expectations and trends of the audience.

[0005] The system according to the embodiment aims to design a creative and flexible fireworks show and improve the responsiveness and safety to the environment.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a generation unit, an optimization unit, an adjustment unit, a monitoring unit, and a planning unit. The generation unit analyzes themes and trends and generates creative fireworks designs. The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks designs generated by the generation unit. The adjustment unit checks the weather and wind direction in real time and adjusts the execution of the show. The monitoring unit monitors safety risks with sensors and takes countermeasures before any abnormalities occur. The planning unit automatically calculates the types and quantities of fireworks required and formulates a production plan. [Effects of the Invention]

[0007] The system according to this embodiment can design creative and flexible fireworks shows and improve environmental responsiveness and safety. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

[0011] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between a plurality of computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0025] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The fireworks show system according to an embodiment of the present invention is a system that utilizes generative AI to streamline the design and execution of fireworks shows and respond immediately to environmental constraints. In this fireworks show system, the generative AI analyzes themes and trends and generates creative fireworks designs. The generative AI optimizes the materials, colors, and launch patterns of the fireworks. Next, drones and sensors check the weather and wind direction in real time and adjust the execution of the show. Sensors monitor safety risks and take countermeasures before any abnormalities occur. Furthermore, a reverse-engineered production plan automatically calculates the types and quantities of fireworks needed and formulates a production plan. This optimizes costs through efficient resource allocation. For example, the generative AI generates designs that match the theme of the season or event. The generative AI optimizes the materials, colors, and launch patterns of the fireworks to provide designs that meet audience expectations. Next, drones and sensors check the weather and wind direction in real time and adjust the execution of the show. For example, if the wind direction changes, the drone collects that information and the generative AI adjusts the launch pattern. Sensors monitor safety risks and take countermeasures before any abnormalities occur. For example, if humidity increases, sensors collect this information, and the generating AI changes the launch pattern. Furthermore, reverse-engineered production planning automatically calculates the types and quantities of fireworks needed and creates a production plan. For instance, based on the show design, the necessary types and quantities of fireworks are calculated, optimizing costs through efficient resource allocation. This increases cost efficiency, making it possible to hold more shows. This enables creative and flexible fireworks show design, improving responsiveness to environmental changes and safety. Increased cost efficiency also allows for more shows to be held. For example, the generating AI generates designs tailored to the season and event theme, and drones and sensors check weather and wind direction in real time, adjusting show execution to deliver a show that meets audience expectations. In this way, the fireworks show system can leverage generating AI to streamline the design and execution of fireworks shows and respond quickly to environmental constraints.

[0029] The fireworks show system according to this embodiment comprises a generation unit, an optimization unit, an adjustment unit, a monitoring unit, and a planning unit. The generation unit analyzes themes and trends and generates creative fireworks designs. For example, the generation unit generates designs that match the theme of the season or event. The generation unit uses generation AI to optimize the materials, colors, and launch patterns of the fireworks. For example, the generation unit provides designs that meet the expectations of the audience. The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks designs generated by the generation unit. For example, the optimization unit selects the materials for the fireworks, adjusts the colors, and determines the launch pattern. The optimization unit uses generation AI to optimize the materials, colors, and launch patterns of the fireworks. The adjustment unit checks the weather and wind direction in real time and adjusts the execution of the show. For example, the adjustment unit collects information when the wind direction changes, and the generation AI adjusts the launch pattern. The adjustment unit uses AI to check the weather and wind direction and adjusts the execution of the show. The monitoring unit monitors safety risks with sensors and takes countermeasures before an anomaly occurs. For example, the monitoring unit collects information when humidity increases, and the generating AI changes the launch pattern. The monitoring unit uses AI to monitor safety risks and take countermeasures before an anomaly occurs. The planning unit automatically calculates the types and quantities of fireworks needed and formulates a production plan. For example, the planning unit calculates the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation. The planning unit uses AI to calculate the types and quantities of fireworks needed and formulates a production plan. As a result, the fireworks show system according to this embodiment can streamline the design and execution of fireworks shows by utilizing generating AI and respond immediately to environmental constraints.

[0030] The generation unit analyzes themes and trends to generate creative fireworks designs. For example, it generates designs tailored to the season or event theme. Specifically, it analyzes data from past fireworks shows and audience feedback to generate designs based on current trends and themes. The generation AI uses natural language processing technology to understand the event's theme and audience expectations, and proposes fireworks designs accordingly. For example, for a summer fireworks display, it generates a design based on cool blues and greens, and for a Christmas event, it generates a gorgeous design based on reds and golds. The generation AI also utilizes past data and simulation results to optimize the materials, colors, and launch patterns of the fireworks. For example, it analyzes what colors specific materials emit and what launch patterns are most popular with audiences, and generates the optimal design based on that. The generation unit can also update designs in real time to provide designs that meet audience expectations. For example, it analyzes audience reactions in real time and fine-tunes the design accordingly to create a more satisfying fireworks show. This allows the generation unit to consistently provide creative fireworks designs based on the latest trends and themes, meeting the audience's expectations.

[0031] The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks design generated by the generation unit. Specifically, the optimization unit uses generation AI to select the materials, adjust the colors, and determine the launch pattern. For example, the generation AI selects the most effective combination of materials and colors based on past data and simulation results. Furthermore, it determines the optimal launch pattern by considering environmental conditions such as wind direction and weather. The optimization unit can monitor environmental conditions in real time and adjust the launch pattern accordingly. For example, if the wind direction changes, the generation AI immediately calculates a new launch pattern and adjusts it so as not to affect the progress of the show. The optimization unit also optimizes the selection of materials and colors to minimize the impact on the environment. For example, it reduces the environmental burden by selecting environmentally friendly materials and using natural pigments for the colors. As a result, the optimization unit can select the optimal materials, colors, and launch patterns based on the design generated by the generation unit, enabling an environmentally conscious fireworks show.

[0032] The control unit monitors weather and wind direction in real time and adjusts the show's execution accordingly. Specifically, the control unit uses AI to monitor weather and wind direction in real time and instantly detects factors that could affect the show's progress. For example, if the wind direction changes, the control unit collects this information, and the generating AI adjusts the launch pattern. This ensures that the fireworks are launched in a way that is safe for the audience to see. The control unit can also respond to sudden changes in weather. For example, if sudden rain or lightning is predicted, the control unit can immediately decide whether to interrupt or resume the show to ensure the safety of the audience. Furthermore, the control unit monitors the show's progress in real time and can adjust the timing and order of launches as needed. This allows the control unit to respond immediately to environmental conditions such as weather and wind direction and optimize the show's execution.

[0033] The monitoring unit uses sensors to monitor safety risks and takes countermeasures before any abnormalities occur. Specifically, the monitoring unit uses AI to monitor environmental data such as humidity, temperature, and wind speed in real time, and takes immediate action if an abnormality is detected. For example, if the humidity rises, the monitoring unit collects this information, and the generated AI changes the launch pattern. This allows fireworks to be launched safely even in high-humidity environments. The monitoring unit also monitors the status of the fireworks launching equipment and surrounding facilities, and issues an immediate warning if an abnormality is detected. For example, if an abnormality occurs in the launching equipment, the monitoring unit collects this information and makes a decision on whether to interrupt or resume the show. Furthermore, to ensure the safety of the audience, the monitoring unit can monitor the movements and behavior of the audience and provide warnings and instructions as needed. In this way, the monitoring unit can ensure the safety of the fireworks show by monitoring safety risks with sensors and taking countermeasures before any abnormalities occur.

[0034] The planning department automatically calculates the types and quantities of fireworks needed and develops a production plan. Specifically, the planning department uses AI to calculate the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation. For example, based on the show design, it calculates which types of fireworks will be launched and when, and calculates the necessary materials and quantities accordingly. Furthermore, the planning department develops a production plan and optimizes costs through efficient resource allocation. For example, it optimizes the procurement of materials and production schedules to minimize waste. In addition, the planning department can predict future demand based on past data and simulation results and develop long-term production plans. As a result, the planning department can support the execution of fireworks shows by automatically calculating the types and quantities of fireworks needed and optimizing costs through efficient resource allocation.

[0035] The generation unit can generate designs that match the themes of seasons and events. For example, it can generate designs that match seasonal events such as Christmas and Halloween. The generation unit can also generate designs based on local festivals and cultural themes. Using generation AI, the generation unit analyzes themes and trends and generates creative fireworks designs. This allows it to meet audience expectations by generating designs that are appropriate for the season and event.

[0036] The adjustment unit collects information when the wind direction changes, and the generating AI can adjust the launch pattern. For example, the adjustment unit monitors changes in wind speed and direction in real time and adjusts the launch pattern. The adjustment unit can also adjust the launch position and timing of the fireworks in response to changes in wind direction. The adjustment unit uses AI to check the weather and wind direction and adjust the execution of the show. This ensures a safe and effective show by adjusting the launch pattern in response to changes in wind direction.

[0037] The monitoring unit collects information when humidity increases, and the generating AI can change the launch pattern. For example, the monitoring unit monitors humidity changes in real time and changes the launch pattern. The monitoring unit can also adjust the launch position and timing of the fireworks in response to humidity changes. The monitoring unit uses AI to monitor safety risks and take countermeasures before an anomaly occurs. In this way, safety is ensured by changing the launch pattern in response to humidity changes.

[0038] The planning department can calculate the types and quantities of fireworks needed based on the show's design and optimize costs through efficient resource allocation. For example, the planning department calculates the necessary types and quantities of fireworks based on the show's scale and design complexity. The planning department can also develop plans to optimize costs through efficient resource allocation. Using AI, the planning department calculates the necessary types and quantities of fireworks and develops production plans. This optimizes costs through efficient resource allocation, increasing cost-effectiveness and enabling more shows to be held.

[0039] The generation unit can analyze data from past fireworks shows, learn successful design patterns, and incorporate them into new designs. For example, it can extract design patterns that received positive audience reactions in past shows and incorporate them into new designs. The generation unit can also analyze the colors and launch patterns used in past shows, identify success factors, and incorporate them into new designs. The generation unit can also learn from failure patterns in past shows and generate designs to avoid the same mistakes. The generation unit uses generational AI to analyze data from past fireworks shows and learn successful design patterns. By learning from past successful design patterns and incorporating them into new designs, it can increase the success rate of shows.

[0040] The generation unit can generate designs based on local culture and traditions, in addition to seasonal and event themes. For example, it can generate designs that match local traditional festivals and events. It can also generate designs that use local specialties and landmarks as motifs. It can also generate designs that reflect local history and culture. Using generation AI, the generation unit generates designs based on local culture and traditions, in addition to seasonal and event themes. This allows for the creation of locally rooted shows by generating designs based on local culture and traditions.

[0041] The design generation unit can generate different designs based on the audience's age group and gender. For example, it can generate colorful and fun designs for children, and chic and sophisticated designs for adults. It can also analyze preferred colors and patterns for men and women and generate designs based on that. The design generation unit uses AI to generate different designs based on the audience's age group and gender. This allows it to cater to a wide range of audiences by generating designs that suit their age group and gender.

[0042] The generation unit can analyze audience reactions on social media during design generation and generate trend-based designs. For example, the generation unit can incorporate design elements that are trending on social media. The generation unit can also analyze audience posts and comments to generate popular designs. The generation unit can also generate the latest designs based on trending hashtags. The generation unit uses generation AI to analyze audience reactions on social media and generate trend-based designs. This allows it to respond to the latest trends by generating designs based on social media trends.

[0043] The optimization unit can select the optimal materials for fireworks, taking into account their durability and safety. For example, the optimization unit can use highly durable materials to support long-duration shows. The optimization unit can also use highly safe materials to reduce the risk of accidents. The optimization unit can also use environmentally friendly materials to minimize its impact on the environment. The optimization unit uses generative AI to select the optimal materials for fireworks, taking into account their durability and safety. This enhances the safety of the show by selecting materials that prioritize durability and safety.

[0044] The optimization unit can optimize the fireworks launch pattern to look most beautiful from the audience's perspective. For example, the optimization unit launches the fireworks at the angle that is easiest to see from the audience's position. The optimization unit can also design launch patterns that attract the audience's attention. The optimization unit can also analyze audience reactions in real time and select the optimal launch pattern. The optimization unit uses generative AI to optimize the fireworks launch pattern to look most beautiful from the audience's perspective. By optimizing the launch pattern to look most beautiful from the audience's perspective, the visual appeal of the show is enhanced.

[0045] The optimization unit can select eco-friendly materials to minimize environmental impact when optimizing fireworks. For example, the optimization unit can manufacture fireworks using environmentally friendly materials. The optimization unit can also select recyclable materials to minimize environmental impact. The optimization unit can also use eco-friendly materials in cooperation with environmental protection organizations. The optimization unit uses generative AI to select eco-friendly materials to minimize environmental impact when optimizing fireworks. In this way, it contributes to environmental protection by selecting materials that minimize environmental impact.

[0046] The optimization unit can adjust the launch pattern while considering the acoustic effects when optimizing the fireworks. For example, the optimization unit can design a launch pattern that maximizes the acoustic effects. The optimization unit can also select a launch pattern that combines acoustic and visual effects. The optimization unit can also analyze acoustic effects in real time and select the optimal launch pattern. The optimization unit uses generative AI to adjust the launch pattern while considering the acoustic effects when optimizing the fireworks. This enhances the overall appeal of the show by adjusting the launch pattern to take acoustic effects into account.

[0047] The adjustment unit can adjust the launch location and timing of the fireworks in real time in response to changes in weather and wind direction. For example, if the wind direction changes, the adjustment unit will adjust the launch location. The adjustment unit can also change the launch timing if the weather deteriorates. The adjustment unit can monitor changes in weather and wind direction in real time and select the optimal launch location and timing. The adjustment unit uses AI to adjust the launch location and timing of the fireworks in real time in response to changes in weather and wind direction. This ensures a safe and effective show by adjusting the launch location and timing in response to changes in weather and wind direction.

[0048] The control unit can use drones to monitor the fireworks launch locations in real time and select the optimal launch location. For example, the control unit can use drones to monitor the fireworks launch locations in real time. The control unit can also select the optimal launch location based on the information obtained from the drones. The control unit can also use drones to verify the safety of the launch locations. The control unit uses AI and drones to monitor the fireworks launch locations in real time and select the optimal launch location. This allows for the selection of the optimal launch location by monitoring the launch locations in real time using drones.

[0049] The control unit can adjust the music and lighting effects in real time in response to changes in weather and wind direction. For example, if the wind direction changes, the control unit will adjust the timing of the music. If the weather deteriorates, the control unit can also change the lighting effects. The control unit can monitor changes in weather and wind direction in real time and select the optimal music and lighting effects. The control unit uses AI to adjust the music and lighting effects in real time in response to changes in weather and wind direction. This optimizes the progress of the show by adjusting the music and lighting effects in response to changes in weather and wind direction.

[0050] The control unit can use drones to collect audience reactions in real time and adjust the show's progress accordingly. For example, the control unit can use drones to collect audience reactions in real time. Based on these reactions, the control unit can also adjust the show's progress. Based on the information obtained from the drones, the control unit can analyze audience reactions and select the optimal progression. The control unit uses AI to collect audience reactions in real time using drones and adjust the show's progress. This optimizes the show's progress by collecting audience reactions in real time using drones.

[0051] The monitoring unit uses sensors to monitor vibrations and sounds during fireworks launches and can take immediate action if an abnormality occurs. For example, the monitoring unit uses sensors to monitor vibrations during fireworks launches in real time. The monitoring unit can also use sensors to monitor sounds during fireworks launches in real time. The monitoring unit can also issue alerts to take immediate action if an abnormality occurs. The monitoring unit uses AI and sensors to monitor vibrations and sounds during fireworks launches and take immediate action if an abnormality occurs. This allows for immediate action to be taken if an abnormality occurs by monitoring vibrations and sounds using sensors.

[0052] The monitoring unit can use sensors to monitor the amount of smoke and gas emitted during fireworks displays, minimizing the environmental impact. For example, the monitoring unit can use sensors to monitor the amount of smoke emitted during fireworks displays in real time. The monitoring unit can also use sensors to monitor the amount of gas emitted during fireworks displays in real time. The monitoring unit can also take measures to minimize the environmental impact. The monitoring unit uses AI and sensors to monitor the amount of smoke and gas emitted during fireworks displays, minimizing the environmental impact. In this way, by monitoring the amount of smoke and gas emitted using sensors, the environmental impact can be minimized.

[0053] The monitoring unit can use sensors to monitor audience movements and reduce the risk of congestion and panic. For example, the monitoring unit can use sensors to monitor audience movements in real time. The monitoring unit can also analyze audience movements and predict the risk of congestion and panic. The monitoring unit can also take measures to reduce the risk of congestion and panic. The monitoring unit uses AI and sensors to monitor audience movements and reduce the risk of congestion and panic. In this way, by monitoring audience movements using sensors, the risk of congestion and panic can be reduced.

[0054] The monitoring unit uses sensors to monitor the temperature and humidity during fireworks launch, maintaining optimal launch conditions. For example, the monitoring unit uses sensors to monitor the temperature during fireworks launch in real time. The monitoring unit can also use sensors to monitor the humidity during fireworks launch in real time. The monitoring unit can also take measures to maintain optimal launch conditions. The monitoring unit uses AI and sensors to monitor the temperature and humidity during fireworks launch, maintaining optimal launch conditions. In this way, by monitoring temperature and humidity using sensors, optimal launch conditions can be maintained.

[0055] The planning department can analyze past show data, learn the most efficient resource allocation, and incorporate it into the production plan. For example, the planning department can analyze past show data and learn the optimal resource allocation. Based on the learned resource allocation, the planning department can also create an efficient production plan. Based on past show data, the planning department can also create a waste-free production plan. The planning department uses AI to analyze past show data, learn the most efficient resource allocation, and incorporate it into the production plan. In this way, by analyzing past show data and learning efficient resource allocation, the efficiency of the production plan can be improved.

[0056] The planning department can incorporate eco-friendly materials into the fireworks production plan to minimize environmental impact. For example, the planning department can create a fireworks production plan using environmentally friendly materials. The planning department can also create a production plan that utilizes eco-friendly materials. The planning department can collaborate with environmental protection organizations to create a production plan that uses eco-friendly materials. The planning department can use AI to incorporate eco-friendly materials into the fireworks production plan to minimize environmental impact. This allows for the incorporation of materials that minimize environmental impact into the production plan, thereby contributing to environmental protection.

[0057] The planning department can incorporate logistics plans to optimize the efficiency of fireworks transportation and storage during the production planning stage. For example, the planning department can create logistics plans to optimize fireworks transportation routes. The planning department can also create logistics plans to optimize fireworks storage locations. The planning department can also create logistics plans to maximize the efficiency of fireworks transportation and storage. The planning department uses AI to incorporate logistics plans to optimize the efficiency of fireworks transportation and storage during the production planning stage. This allows for increased efficiency in production planning by incorporating logistics plans that optimize the efficiency of fireworks transportation and storage.

[0058] The planning department can plan the optimal allocation of personnel and equipment necessary for fireworks production during the production planning stage. For example, the planning department can plan the optimal allocation of personnel necessary for fireworks production. The planning department can also plan the optimal allocation of equipment necessary for fireworks production. The planning department can also create allocation plans to maximize the efficiency of personnel and equipment. The planning department uses AI to plan the optimal allocation of personnel and equipment necessary for fireworks production during the production planning stage. This improves the efficiency of the production planning by planning the optimal allocation of personnel and equipment necessary for fireworks production.

[0059] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0060] The generation unit can analyze data from past fireworks shows, learn successful design patterns, and incorporate them into new designs. For example, it can extract design patterns that received positive audience reactions in past shows and incorporate them into new designs. It can also analyze the colors and launch patterns used in past shows to identify success factors and incorporate them into new designs. It can also learn from failure patterns in past shows and generate designs to avoid the same mistakes. In this way, by learning from past successful design patterns and incorporating them into new designs, the success rate of shows can be increased.

[0061] The generation unit can generate designs based on local culture and traditions. For example, it can generate designs that match local traditional festivals and events. It can also generate designs that use local specialties and landmarks as motifs. It can also generate designs that reflect local history and culture. In this way, by generating designs based on local culture and traditions, it is possible to provide shows that are rooted in the local community.

[0062] The generation unit can create different designs based on the age group and gender of the audience. For example, it can generate colorful and fun designs for children, and chic and sophisticated designs for adults. It can also analyze the preferred colors and patterns of men and women and generate designs based on that. This allows the system to cater to a wide range of audiences by generating designs tailored to their age group and gender.

[0063] The optimization unit can select the optimal materials for fireworks, taking into account their durability and safety. For example, using highly durable materials allows for longer shows. Using safer materials reduces the risk of accidents. Using environmentally friendly materials minimizes the impact on the environment. In this way, by selecting materials that consider durability and safety, the safety of the show can be enhanced.

[0064] The optimization unit can optimize the fireworks launch pattern to look most beautiful from the audience's perspective. For example, it can launch fireworks at the angle that is easiest to see from the audience's position. It can also design a launch pattern that will attract the audience's attention. It can analyze audience reactions in real time and select the optimal launch pattern. By optimizing the launch pattern to look most beautiful from the audience's perspective, the visual appeal of the show can be enhanced.

[0065] The following briefly describes the processing flow for example form 1.

[0066] Step 1: The generation unit analyzes themes and trends and generates creative fireworks designs. For example, the generation unit generates designs that match the theme of the season or event, providing designs that meet audience expectations. Step 2: The optimization unit optimizes the fireworks materials, colors, and launch pattern based on the fireworks design generated by the generation unit. For example, the optimization unit selects the fireworks materials, adjusts the colors, and determines the launch pattern. Step 3: The adjustment unit checks the weather and wind direction in real time and adjusts the show's execution accordingly. For example, if the wind direction changes, the adjustment unit collects that information, and the generating AI adjusts the launch pattern. Step 4: The monitoring unit uses sensors to monitor safety risks and takes action before an anomaly occurs. For example, if humidity increases, the monitoring unit collects that information, and the generating AI modifies the launch pattern. Step 5: The planning department automatically calculates the types and quantities of fireworks needed and develops a production plan. For example, the planning department calculates the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation.

[0067] (Example of form 2) The fireworks show system according to an embodiment of the present invention is a system that utilizes generative AI to streamline the design and execution of fireworks shows and respond immediately to environmental constraints. In this fireworks show system, the generative AI analyzes themes and trends and generates creative fireworks designs. The generative AI optimizes the materials, colors, and launch patterns of the fireworks. Next, drones and sensors check the weather and wind direction in real time and adjust the execution of the show. Sensors monitor safety risks and take countermeasures before any abnormalities occur. Furthermore, a reverse-engineered production plan automatically calculates the types and quantities of fireworks needed and formulates a production plan. This optimizes costs through efficient resource allocation. For example, the generative AI generates designs that match the theme of the season or event. The generative AI optimizes the materials, colors, and launch patterns of the fireworks to provide designs that meet audience expectations. Next, drones and sensors check the weather and wind direction in real time and adjust the execution of the show. For example, if the wind direction changes, the drone collects that information and the generative AI adjusts the launch pattern. Sensors monitor safety risks and take countermeasures before any abnormalities occur. For example, if humidity increases, sensors collect this information, and the generating AI changes the launch pattern. Furthermore, reverse-engineered production planning automatically calculates the types and quantities of fireworks needed and creates a production plan. For instance, based on the show design, the necessary types and quantities of fireworks are calculated, optimizing costs through efficient resource allocation. This increases cost efficiency, making it possible to hold more shows. This enables creative and flexible fireworks show design, improving responsiveness to environmental changes and safety. Increased cost efficiency also allows for more shows to be held. For example, the generating AI generates designs tailored to the season and event theme, and drones and sensors check weather and wind direction in real time, adjusting show execution to deliver a show that meets audience expectations. In this way, the fireworks show system can leverage generating AI to streamline the design and execution of fireworks shows and respond quickly to environmental constraints.

[0068] The fireworks show system according to this embodiment comprises a generation unit, an optimization unit, an adjustment unit, a monitoring unit, and a planning unit. The generation unit analyzes themes and trends and generates creative fireworks designs. For example, the generation unit generates designs that match the theme of the season or event. The generation unit uses generation AI to optimize the materials, colors, and launch patterns of the fireworks. For example, the generation unit provides designs that meet the expectations of the audience. The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks designs generated by the generation unit. For example, the optimization unit selects the materials for the fireworks, adjusts the colors, and determines the launch pattern. The optimization unit uses generation AI to optimize the materials, colors, and launch patterns of the fireworks. The adjustment unit checks the weather and wind direction in real time and adjusts the execution of the show. For example, the adjustment unit collects information when the wind direction changes, and the generation AI adjusts the launch pattern. The adjustment unit uses AI to check the weather and wind direction and adjusts the execution of the show. The monitoring unit monitors safety risks with sensors and takes countermeasures before an anomaly occurs. For example, the monitoring unit collects information when humidity increases, and the generating AI changes the launch pattern. The monitoring unit uses AI to monitor safety risks and take countermeasures before an anomaly occurs. The planning unit automatically calculates the types and quantities of fireworks needed and formulates a production plan. For example, the planning unit calculates the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation. The planning unit uses AI to calculate the types and quantities of fireworks needed and formulates a production plan. As a result, the fireworks show system according to this embodiment can streamline the design and execution of fireworks shows by utilizing generating AI and respond immediately to environmental constraints.

[0069] The generation unit analyzes themes and trends to generate creative fireworks designs. For example, it generates designs tailored to the season or event theme. Specifically, it analyzes data from past fireworks shows and audience feedback to generate designs based on current trends and themes. The generation AI uses natural language processing technology to understand the event's theme and audience expectations, and proposes fireworks designs accordingly. For example, for a summer fireworks display, it generates a design based on cool blues and greens, and for a Christmas event, it generates a gorgeous design based on reds and golds. The generation AI also utilizes past data and simulation results to optimize the materials, colors, and launch patterns of the fireworks. For example, it analyzes what colors specific materials emit and what launch patterns are most popular with audiences, and generates the optimal design based on that. The generation unit can also update designs in real time to provide designs that meet audience expectations. For example, it analyzes audience reactions in real time and fine-tunes the design accordingly to create a more satisfying fireworks show. This allows the generation unit to consistently provide creative fireworks designs based on the latest trends and themes, meeting the audience's expectations.

[0070] The optimization unit optimizes the materials, colors, and launch patterns of the fireworks based on the fireworks design generated by the generation unit. Specifically, the optimization unit uses generation AI to select the materials, adjust the colors, and determine the launch pattern. For example, the generation AI selects the most effective combination of materials and colors based on past data and simulation results. Furthermore, it determines the optimal launch pattern by considering environmental conditions such as wind direction and weather. The optimization unit can monitor environmental conditions in real time and adjust the launch pattern accordingly. For example, if the wind direction changes, the generation AI immediately calculates a new launch pattern and adjusts it so as not to affect the progress of the show. The optimization unit also optimizes the selection of materials and colors to minimize the impact on the environment. For example, it reduces the environmental burden by selecting environmentally friendly materials and using natural pigments for the colors. As a result, the optimization unit can select the optimal materials, colors, and launch patterns based on the design generated by the generation unit, enabling an environmentally conscious fireworks show.

[0071] The control unit monitors weather and wind direction in real time and adjusts the show's execution accordingly. Specifically, the control unit uses AI to monitor weather and wind direction in real time and instantly detects factors that could affect the show's progress. For example, if the wind direction changes, the control unit collects this information, and the generating AI adjusts the launch pattern. This ensures that the fireworks are launched in a way that is safe for the audience to see. The control unit can also respond to sudden changes in weather. For example, if sudden rain or lightning is predicted, the control unit can immediately decide whether to interrupt or resume the show to ensure the safety of the audience. Furthermore, the control unit monitors the show's progress in real time and can adjust the timing and order of launches as needed. This allows the control unit to respond immediately to environmental conditions such as weather and wind direction and optimize the show's execution.

[0072] The monitoring unit uses sensors to monitor safety risks and takes countermeasures before any abnormalities occur. Specifically, the monitoring unit uses AI to monitor environmental data such as humidity, temperature, and wind speed in real time, and takes immediate action if an abnormality is detected. For example, if the humidity rises, the monitoring unit collects this information, and the generated AI changes the launch pattern. This allows fireworks to be launched safely even in high-humidity environments. The monitoring unit also monitors the status of the fireworks launching equipment and surrounding facilities, and issues an immediate warning if an abnormality is detected. For example, if an abnormality occurs in the launching equipment, the monitoring unit collects this information and makes a decision on whether to interrupt or resume the show. Furthermore, to ensure the safety of the audience, the monitoring unit can monitor the movements and behavior of the audience and provide warnings and instructions as needed. In this way, the monitoring unit can ensure the safety of the fireworks show by monitoring safety risks with sensors and taking countermeasures before any abnormalities occur.

[0073] The planning department automatically calculates the types and quantities of fireworks needed and develops a production plan. Specifically, the planning department uses AI to calculate the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation. For example, based on the show design, it calculates which types of fireworks will be launched and when, and calculates the necessary materials and quantities accordingly. Furthermore, the planning department develops a production plan and optimizes costs through efficient resource allocation. For example, it optimizes the procurement of materials and production schedules to minimize waste. In addition, the planning department can predict future demand based on past data and simulation results and develop long-term production plans. As a result, the planning department can support the execution of fireworks shows by automatically calculating the types and quantities of fireworks needed and optimizing costs through efficient resource allocation.

[0074] The generation unit can generate designs that match the themes of seasons and events. For example, it can generate designs that match seasonal events such as Christmas and Halloween. The generation unit can also generate designs based on local festivals and cultural themes. Using generation AI, the generation unit analyzes themes and trends and generates creative fireworks designs. This allows it to meet audience expectations by generating designs that are appropriate for the season and event.

[0075] The adjustment unit collects information when the wind direction changes, and the generating AI can adjust the launch pattern. For example, the adjustment unit monitors changes in wind speed and direction in real time and adjusts the launch pattern. The adjustment unit can also adjust the launch position and timing of the fireworks in response to changes in wind direction. The adjustment unit uses AI to check the weather and wind direction and adjust the execution of the show. This ensures a safe and effective show by adjusting the launch pattern in response to changes in wind direction.

[0076] The monitoring unit collects information when humidity increases, and the generating AI can change the launch pattern. For example, the monitoring unit monitors humidity changes in real time and changes the launch pattern. The monitoring unit can also adjust the launch position and timing of the fireworks in response to humidity changes. The monitoring unit uses AI to monitor safety risks and take countermeasures before an anomaly occurs. In this way, safety is ensured by changing the launch pattern in response to humidity changes.

[0077] The planning department can calculate the types and quantities of fireworks needed based on the show's design and optimize costs through efficient resource allocation. For example, the planning department calculates the necessary types and quantities of fireworks based on the show's scale and design complexity. The planning department can also develop plans to optimize costs through efficient resource allocation. Using AI, the planning department calculates the necessary types and quantities of fireworks and develops production plans. This optimizes costs through efficient resource allocation, increasing cost-effectiveness and enabling more shows to be held.

[0078] The generation unit can estimate the audience's emotions and adjust the design theme based on those estimated emotions. For example, if the audience is excited, the generation unit will generate a more vibrant and colorful design. If the audience is relaxed, the generation unit can also generate a design with calmer colors. If the audience is moved, the generation unit can also generate a design that further enhances that emotion. The generation unit uses generative AI to estimate the audience's emotions and adjust the design theme. This improves audience satisfaction by adjusting the design theme according to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI, such as text generation AI (e.g., LLM) or multimodal generation AI.

[0079] The generation unit can analyze data from past fireworks shows, learn successful design patterns, and incorporate them into new designs. For example, it can extract design patterns that received positive audience reactions in past shows and incorporate them into new designs. The generation unit can also analyze the colors and launch patterns used in past shows, identify success factors, and incorporate them into new designs. The generation unit can also learn from failure patterns in past shows and generate designs to avoid the same mistakes. The generation unit uses generational AI to analyze data from past fireworks shows and learn successful design patterns. By learning from past successful design patterns and incorporating them into new designs, it can increase the success rate of shows.

[0080] The generation unit can generate designs based on local culture and traditions, in addition to seasonal and event themes. For example, it can generate designs that match local traditional festivals and events. It can also generate designs that use local specialties and landmarks as motifs. It can also generate designs that reflect local history and culture. Using generation AI, the generation unit generates designs based on local culture and traditions, in addition to seasonal and event themes. This allows for the creation of locally rooted shows by generating designs based on local culture and traditions.

[0081] The generation unit can estimate the audience's emotions and adjust the design's colors based on those estimated emotions. For example, if the audience is excited, the generation unit will generate a design that uses many vibrant colors. If the audience is relaxed, the generation unit can also generate a design with calm colors. If the audience is moved, the generation unit can also generate a design that uses colors that enhance the emotion. The generation unit uses a generation AI to estimate the audience's emotions and adjust the design's colors. This enhances the visual appeal of the show by adjusting the colors according to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or a generation AI, such as a text generation AI (e.g., LLM) or a multimodal generation AI.

[0082] The design generation unit can generate different designs based on the audience's age group and gender. For example, it can generate colorful and fun designs for children, and chic and sophisticated designs for adults. It can also analyze preferred colors and patterns for men and women and generate designs based on that. The design generation unit uses AI to generate different designs based on the audience's age group and gender. This allows it to cater to a wide range of audiences by generating designs that suit their age group and gender.

[0083] The generation unit can analyze audience reactions on social media during design generation and generate trend-based designs. For example, the generation unit can incorporate design elements that are trending on social media. The generation unit can also analyze audience posts and comments to generate popular designs. The generation unit can also generate the latest designs based on trending hashtags. The generation unit uses generation AI to analyze audience reactions on social media and generate trend-based designs. This allows it to respond to the latest trends by generating designs based on social media trends.

[0084] The optimization unit can estimate the audience's emotions and adjust the colors of the fireworks based on those emotions. For example, if the audience is excited, the optimization unit will select fireworks with many bright colors. If the audience is relaxed, the optimization unit can also select fireworks with calmer colors. If the audience is moved, the optimization unit can also select fireworks with colors that enhance that emotion. The optimization unit uses generative AI to estimate the audience's emotions and adjust the colors of the fireworks. This enhances the visual appeal of the show by adjusting the colors according to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI, such as text generation AI (e.g., LLM) or multimodal generation AI.

[0085] The optimization unit can select the optimal materials for fireworks, taking into account their durability and safety. For example, the optimization unit can use highly durable materials to support long-duration shows. The optimization unit can also use highly safe materials to reduce the risk of accidents. The optimization unit can also use environmentally friendly materials to minimize its impact on the environment. The optimization unit uses generative AI to select the optimal materials for fireworks, taking into account their durability and safety. This enhances the safety of the show by selecting materials that prioritize durability and safety.

[0086] The optimization unit can optimize the fireworks launch pattern to look most beautiful from the audience's perspective. For example, the optimization unit launches the fireworks at the angle that is easiest to see from the audience's position. The optimization unit can also design launch patterns that attract the audience's attention. The optimization unit can also analyze audience reactions in real time and select the optimal launch pattern. The optimization unit uses generative AI to optimize the fireworks launch pattern to look most beautiful from the audience's perspective. By optimizing the launch pattern to look most beautiful from the audience's perspective, the visual appeal of the show is enhanced.

[0087] The optimization unit can estimate the audience's emotions and adjust the timing of the fireworks display based on those emotions. For example, if the audience is excited, the optimization unit will launch the fireworks at a faster pace. If the audience is relaxed, the optimization unit can launch the fireworks at a more leisurely pace. If the audience is moved, the optimization unit can launch the fireworks at a timing that enhances their emotion. The optimization unit uses generative AI to estimate the audience's emotions and adjust the timing of the fireworks display. This optimizes the show's progression by adjusting the launch timing according to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI, such as text generation AI (e.g., LLM) or multimodal generation AI.

[0088] The optimization unit can select eco-friendly materials to minimize environmental impact when optimizing fireworks. For example, the optimization unit can manufacture fireworks using environmentally friendly materials. The optimization unit can also select recyclable materials to minimize environmental impact. The optimization unit can also use eco-friendly materials in cooperation with environmental protection organizations. The optimization unit uses generative AI to select eco-friendly materials to minimize environmental impact when optimizing fireworks. In this way, it contributes to environmental protection by selecting materials that minimize environmental impact.

[0089] The optimization unit can adjust the launch pattern while considering the acoustic effects when optimizing the fireworks. For example, the optimization unit can design a launch pattern that maximizes the acoustic effects. The optimization unit can also select a launch pattern that combines acoustic and visual effects. The optimization unit can also analyze acoustic effects in real time and select the optimal launch pattern. The optimization unit uses generative AI to adjust the launch pattern while considering the acoustic effects when optimizing the fireworks. This enhances the overall appeal of the show by adjusting the launch pattern to take acoustic effects into account.

[0090] The adjustment unit can estimate the audience's emotions and adjust the show's progression based on those emotions. For example, if the audience is excited, the adjustment unit will speed up the pace. If the audience is relaxed, the adjustment unit can also slow down the pace. If the audience is moved, the adjustment unit can enhance the emotional impact of the show. The adjustment unit uses AI to estimate the audience's emotions and adjust the show's progression accordingly. This improves audience satisfaction by adjusting the show's progression to match the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI. Generative AI includes text generation AI (e.g., LLM) and multimodal generation AI.

[0091] The adjustment unit can adjust the launch location and timing of the fireworks in real time in response to changes in weather and wind direction. For example, if the wind direction changes, the adjustment unit will adjust the launch location. The adjustment unit can also change the launch timing if the weather deteriorates. The adjustment unit can monitor changes in weather and wind direction in real time and select the optimal launch location and timing. The adjustment unit uses AI to adjust the launch location and timing of the fireworks in real time in response to changes in weather and wind direction. This ensures a safe and effective show by adjusting the launch location and timing in response to changes in weather and wind direction.

[0092] The control unit can use drones to monitor the fireworks launch locations in real time and select the optimal launch location. For example, the control unit can use drones to monitor the fireworks launch locations in real time. The control unit can also select the optimal launch location based on the information obtained from the drones. The control unit can also use drones to verify the safety of the launch locations. The control unit uses AI and drones to monitor the fireworks launch locations in real time and select the optimal launch location. This allows for the selection of the optimal launch location by monitoring the launch locations in real time using drones.

[0093] The adjustment unit can estimate the audience's emotions and adjust the show's production based on those estimated emotions. For example, if the audience is excited, the adjustment unit can create a flashy production. If the audience is relaxed, the adjustment unit can create a calm production. If the audience is moved, the adjustment unit can create a production that enhances that emotion. The adjustment unit uses AI to estimate the audience's emotions and adjust the show's production. This improves audience satisfaction by adjusting the show's production to match the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI. Generative AI includes text generation AI (e.g., LLM) and multimodal generation AI.

[0094] The control unit can adjust the music and lighting effects in real time in response to changes in weather and wind direction. For example, if the wind direction changes, the control unit will adjust the timing of the music. If the weather deteriorates, the control unit can also change the lighting effects. The control unit can monitor changes in weather and wind direction in real time and select the optimal music and lighting effects. The control unit uses AI to adjust the music and lighting effects in real time in response to changes in weather and wind direction. This optimizes the progress of the show by adjusting the music and lighting effects in response to changes in weather and wind direction.

[0095] The control unit can use drones to collect audience reactions in real time and adjust the show's progress accordingly. For example, the control unit can use drones to collect audience reactions in real time. Based on these reactions, the control unit can also adjust the show's progress. Based on the information obtained from the drones, the control unit can analyze audience reactions and select the optimal progression. The control unit uses AI to collect audience reactions in real time using drones and adjust the show's progress. This optimizes the show's progress by collecting audience reactions in real time using drones.

[0096] The monitoring unit can estimate audience emotions and enhance safety risk monitoring based on those estimated emotions. For example, if the audience is excited, the monitoring unit will monitor for the risk of congestion or panic. If the audience is relaxed, the monitoring unit can also monitor to maintain a calm environment. If the audience is moved, the monitoring unit can also monitor safety risks in a way that does not detract from their emotional experience. The monitoring unit uses AI to estimate audience emotions and enhance safety risk monitoring. This improves show safety by enhancing safety risk monitoring in accordance with audience emotions. Audience emotion estimation is achieved using an emotion engine or generative AI. Generative AI includes text generation AI (e.g., LLM) and multimodal generation AI.

[0097] The monitoring unit uses sensors to monitor vibrations and sounds during fireworks launches and can take immediate action if an abnormality occurs. For example, the monitoring unit uses sensors to monitor vibrations during fireworks launches in real time. The monitoring unit can also use sensors to monitor sounds during fireworks launches in real time. The monitoring unit can also issue alerts to take immediate action if an abnormality occurs. The monitoring unit uses AI and sensors to monitor vibrations and sounds during fireworks launches and take immediate action if an abnormality occurs. This allows for immediate action to be taken if an abnormality occurs by monitoring vibrations and sounds using sensors.

[0098] The monitoring unit can use sensors to monitor the amount of smoke and gas emitted during fireworks displays, minimizing the environmental impact. For example, the monitoring unit can use sensors to monitor the amount of smoke emitted during fireworks displays in real time. The monitoring unit can also use sensors to monitor the amount of gas emitted during fireworks displays in real time. The monitoring unit can also take measures to minimize the environmental impact. The monitoring unit uses AI and sensors to monitor the amount of smoke and gas emitted during fireworks displays, minimizing the environmental impact. In this way, by monitoring the amount of smoke and gas emitted using sensors, the environmental impact can be minimized.

[0099] The monitoring system can estimate the audience's emotions and issue safety risk warnings based on those estimates. For example, if the audience is excited, the monitoring system may warn of the risk of overcrowding or panic. If the audience is relaxed, the monitoring system may also issue warnings to maintain a calm environment. If the audience is moved, the monitoring system may also issue safety risk warnings that do not detract from their emotional experience. The monitoring system uses AI to estimate the audience's emotions and issue safety risk warnings. This improves the safety of the show by issuing safety risk warnings that are tailored to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI, such as text generation AI (e.g., LLM) or multimodal generation AI.

[0100] The monitoring unit can use sensors to monitor audience movements and reduce the risk of congestion and panic. For example, the monitoring unit can use sensors to monitor audience movements in real time. The monitoring unit can also analyze audience movements and predict the risk of congestion and panic. The monitoring unit can also take measures to reduce the risk of congestion and panic. The monitoring unit uses AI and sensors to monitor audience movements and reduce the risk of congestion and panic. In this way, by monitoring audience movements using sensors, the risk of congestion and panic can be reduced.

[0101] The monitoring unit uses sensors to monitor the temperature and humidity during fireworks launch, maintaining optimal launch conditions. For example, the monitoring unit uses sensors to monitor the temperature during fireworks launch in real time. The monitoring unit can also use sensors to monitor the humidity during fireworks launch in real time. The monitoring unit can also take measures to maintain optimal launch conditions. The monitoring unit uses AI and sensors to monitor the temperature and humidity during fireworks launch, maintaining optimal launch conditions. In this way, by monitoring temperature and humidity using sensors, optimal launch conditions can be maintained.

[0102] The planning department can estimate the audience's emotions and adjust the production plan based on those estimates. For example, if the audience is excited, the planning department will plan to produce many spectacular fireworks. If the audience is relaxed, the planning department may also plan to produce many calming fireworks. If the audience is moved, the planning department may also plan to produce many fireworks that enhance the emotional impact. The planning department uses AI to estimate the audience's emotions and adjust the production plan. This allows them to meet the audience's expectations by adjusting the production plan according to their emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI. Generative AI includes text generation AI (e.g., LLM) and multimodal generation AI.

[0103] The planning department can analyze past show data, learn the most efficient resource allocation, and incorporate it into the production plan. For example, the planning department can analyze past show data and learn the optimal resource allocation. Based on the learned resource allocation, the planning department can also create an efficient production plan. Based on past show data, the planning department can also create a waste-free production plan. The planning department uses AI to analyze past show data, learn the most efficient resource allocation, and incorporate it into the production plan. In this way, by analyzing past show data and learning efficient resource allocation, the efficiency of the production plan can be improved.

[0104] The planning department can incorporate eco-friendly materials into the fireworks production plan to minimize environmental impact. For example, the planning department can create a fireworks production plan using environmentally friendly materials. The planning department can also create a production plan that utilizes eco-friendly materials. The planning department can collaborate with environmental protection organizations to create a production plan that uses eco-friendly materials. The planning department can use AI to incorporate eco-friendly materials into the fireworks production plan to minimize environmental impact. This allows for the incorporation of materials that minimize environmental impact into the production plan, thereby contributing to environmental protection.

[0105] The planning department can estimate the audience's emotions and prioritize production plans based on those estimated emotions. For example, if the audience is excited, the planning department will prioritize creating spectacular fireworks. If the audience is relaxed, the planning department may also prioritize creating calmer fireworks. If the audience is moved, the planning department may also prioritize creating fireworks that enhance the emotional impact. The planning department uses AI to estimate the audience's emotions and prioritize production plans. This allows them to meet audience expectations by prioritizing production plans according to the audience's emotions. The estimation of audience emotions is achieved using an emotion engine or generative AI. Generative AI includes text generation AI (e.g., LLM) and multimodal generation AI.

[0106] The planning department can incorporate logistics plans to optimize the efficiency of fireworks transportation and storage during the production planning stage. For example, the planning department can create logistics plans to optimize fireworks transportation routes. The planning department can also create logistics plans to optimize fireworks storage locations. The planning department can also create logistics plans to maximize the efficiency of fireworks transportation and storage. The planning department uses AI to incorporate logistics plans to optimize the efficiency of fireworks transportation and storage during the production planning stage. This allows for increased efficiency in production planning by incorporating logistics plans that optimize the efficiency of fireworks transportation and storage.

[0107] The planning department can plan the optimal allocation of personnel and equipment necessary for fireworks production during the production planning stage. For example, the planning department can plan the optimal allocation of personnel necessary for fireworks production. The planning department can also plan the optimal allocation of equipment necessary for fireworks production. The planning department can also create allocation plans to maximize the efficiency of personnel and equipment. The planning department uses AI to plan the optimal allocation of personnel and equipment necessary for fireworks production during the production planning stage. This improves the efficiency of the production planning by planning the optimal allocation of personnel and equipment necessary for fireworks production.

[0108] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0109] The generation unit can estimate the audience's emotions and adjust the fireworks design based on those emotions. For example, if the audience is excited, it can generate a more flashy and colorful design. If the audience is relaxed, it can generate a design with calmer colors. If the audience is moved, it can generate a design that further enhances that emotion. In this way, by providing designs that match the audience's emotions, audience satisfaction can be improved.

[0110] The generation unit can analyze data from past fireworks shows, learn successful design patterns, and incorporate them into new designs. For example, it can extract design patterns that received positive audience reactions in past shows and incorporate them into new designs. It can also analyze the colors and launch patterns used in past shows to identify success factors and incorporate them into new designs. It can also learn from failure patterns in past shows and generate designs to avoid the same mistakes. In this way, by learning from past successful design patterns and incorporating them into new designs, the success rate of shows can be increased.

[0111] The generation unit can generate designs based on local culture and traditions. For example, it can generate designs that match local traditional festivals and events. It can also generate designs that use local specialties and landmarks as motifs. It can also generate designs that reflect local history and culture. In this way, by generating designs based on local culture and traditions, it is possible to provide shows that are rooted in the local community.

[0112] The generation unit can estimate the audience's emotions and adjust the colors of the fireworks based on those emotions. For example, if the audience is excited, it can generate a design that uses many vibrant colors. If the audience is relaxed, it can generate a design with calm colors. If the audience is moved, it can generate a design that uses colors that enhance those emotions. In this way, the visual appeal of the show can be enhanced by adjusting the colors according to the audience's emotions.

[0113] The generation unit can create different designs based on the age group and gender of the audience. For example, it can generate colorful and fun designs for children, and chic and sophisticated designs for adults. It can also analyze the preferred colors and patterns of men and women and generate designs based on that. This allows the system to cater to a wide range of audiences by generating designs tailored to their age group and gender.

[0114] The optimization unit can estimate the audience's emotions and adjust the colors of the fireworks based on those emotions. For example, if the audience is excited, it can select fireworks with many bright colors. If the audience is relaxed, it can select fireworks with calmer colors. If the audience is moved, it can select fireworks with colors that enhance that emotion. In this way, the visual appeal of the show can be enhanced by adjusting the colors according to the audience's emotions.

[0115] The optimization unit can select the optimal materials for fireworks, taking into account their durability and safety. For example, using highly durable materials allows for longer shows. Using safer materials reduces the risk of accidents. Using environmentally friendly materials minimizes the impact on the environment. In this way, by selecting materials that consider durability and safety, the safety of the show can be enhanced.

[0116] The optimization unit can optimize the fireworks launch pattern to look most beautiful from the audience's perspective. For example, it can launch fireworks at the angle that is easiest to see from the audience's position. It can also design a launch pattern that will attract the audience's attention. It can analyze audience reactions in real time and select the optimal launch pattern. By optimizing the launch pattern to look most beautiful from the audience's perspective, the visual appeal of the show can be enhanced.

[0117] The optimization unit can estimate the audience's emotions and adjust the timing of the fireworks display based on those emotions. For example, if the audience is excited, the fireworks can be launched at a faster pace. If the audience is relaxed, the fireworks can be launched at a more leisurely pace. If the audience is moved, the fireworks can be launched at a timing that enhances their emotion. In this way, the show's progression can be optimized by adjusting the timing of the fireworks display according to the audience's emotions.

[0118] The adjustment unit can estimate the audience's emotions and adjust the show's pace based on those estimates. For example, if the audience is excited, the show can proceed at a faster pace. If the audience is relaxed, it can proceed at a slower pace. If the audience is moved, it can proceed in a way that enhances their emotions. By adjusting the show's pace to match the audience's emotions, audience satisfaction can be improved.

[0119] The following briefly describes the processing flow for example form 2.

[0120] Step 1: The generation unit analyzes themes and trends and generates creative fireworks designs. For example, the generation unit generates designs that match the theme of the season or event, providing designs that meet audience expectations. Step 2: The optimization unit optimizes the fireworks materials, colors, and launch pattern based on the fireworks design generated by the generation unit. For example, the optimization unit selects the fireworks materials, adjusts the colors, and determines the launch pattern. Step 3: The adjustment unit checks the weather and wind direction in real time and adjusts the show's execution accordingly. For example, if the wind direction changes, the adjustment unit collects that information, and the generating AI adjusts the launch pattern. Step 4: The monitoring unit uses sensors to monitor safety risks and takes action before an anomaly occurs. For example, if humidity increases, the monitoring unit collects that information, and the generating AI modifies the launch pattern. Step 5: The planning department automatically calculates the types and quantities of fireworks needed and develops a production plan. For example, the planning department calculates the types and quantities of fireworks needed based on the show design and optimizes costs through efficient resource allocation.

[0121] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0122] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0123] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0124] Each of the multiple elements described above, including the generation unit, optimization unit, adjustment unit, monitoring unit, and planning unit, is implemented in at least one of the smart device 14 and the data processing unit 12. For example, the generation unit is implemented by the control unit 46A of the smart device 14 and generates fireworks designs using generation AI. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimizes the fireworks materials, colors, and launch patterns based on the generated designs. The adjustment unit is implemented by the control unit 46A of the smart device 14 and checks the weather and wind direction in real time using drones and sensors and adjusts the execution of the show. The monitoring unit is implemented by the specific processing unit 290 of the data processing unit 12 and monitors safety risks using sensors and takes countermeasures before an anomaly occurs. The planning unit is implemented by the specific processing unit 290 of the data processing unit 12 and automatically calculates the required types and quantities of fireworks and formulates a production plan. The correspondence between each unit and the device or control unit is not limited to the example described above and can be changed in various ways.

[0125] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0126] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0127] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0128] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0129] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0130] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0131] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0132] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0133] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0134] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0135] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0136] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0137] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0138] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0139] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0140] Each of the multiple elements described above, including the generation unit, optimization unit, adjustment unit, monitoring unit, and planning unit, is implemented in at least one of the smart glasses 214 and the data processing unit 12. For example, the generation unit is implemented by the control unit 46A of the smart glasses 214 and generates fireworks designs using generation AI. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimizes the fireworks materials, colors, and launch patterns based on the generated designs. The adjustment unit is implemented by the control unit 46A of the smart glasses 214 and checks the weather and wind direction in real time using drones and sensors and adjusts the execution of the show. The monitoring unit is implemented by the specific processing unit 290 of the data processing unit 12 and monitors safety risks using sensors and takes countermeasures before an anomaly occurs. The planning unit is implemented by the specific processing unit 290 of the data processing unit 12 and automatically calculates the required types and quantities of fireworks and formulates a production plan. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0141] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0142] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0143] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0144] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0145] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0146] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0147] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0148] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0149] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0150] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0151] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0152] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0153] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0154] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0155] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0156] Each of the multiple elements described above, including the generation unit, optimization unit, adjustment unit, monitoring unit, and planning unit, is implemented in at least one of the headset terminal 314 and the data processing unit 12. For example, the generation unit is implemented by the control unit 46A of the headset terminal 314 and generates fireworks designs using generation AI. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimizes the fireworks materials, colors, and launch patterns based on the generated designs. The adjustment unit is implemented by the control unit 46A of the headset terminal 314 and checks the weather and wind direction in real time using drones and sensors and adjusts the execution of the show. The monitoring unit is implemented by the specific processing unit 290 of the data processing unit 12 and monitors safety risks using sensors and takes countermeasures before an anomaly occurs. The planning unit is implemented by the specific processing unit 290 of the data processing unit 12 and automatically calculates the required types and quantities of fireworks and formulates a production plan. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0157] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0158] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0159] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0160] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0161] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0162] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0163] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0164] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0165] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0166] The processor 28 reads a specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0167] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0168] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0169] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0170] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0171] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0172] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0173] Each of the multiple elements described above, including the generation unit, optimization unit, adjustment unit, monitoring unit, and planning unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the generation unit is implemented by the control unit 46A of the robot 414 and generates fireworks designs using generation AI. The optimization unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and optimizes the fireworks materials, colors, and launch patterns based on the generated designs. The adjustment unit is implemented by, for example, the control unit 46A of the robot 414 and checks the weather and wind direction in real time using drones and sensors and adjusts the execution of the show. The monitoring unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and monitors safety risks using sensors and takes countermeasures before an anomaly occurs. The planning unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and automatically calculates the required types and quantities of fireworks and formulates a production plan. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0174] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0175] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0176] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0177] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0178] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0179] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0180] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0181] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0182] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0183] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0184] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0185] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0186] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0187] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0188] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0189] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0190] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0191] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0192] (Note 1) A generation unit that analyzes themes and trends and generates creative fireworks designs, An optimization unit optimizes the materials, colors, and launch pattern of the fireworks based on the fireworks design generated by the generation unit. A control unit that checks the weather and wind direction in real time and adjusts the execution of the show, The monitoring unit uses sensors to monitor safety risks and takes countermeasures before an anomaly occurs. It includes a planning department that automatically calculates the required types and quantities of fireworks and formulates a production plan. A system characterized by the following features. (Note 2) The generating unit is Generate designs that match the theme of the season or event. The system described in Appendix 1, characterized by the features described herein. (Note 3) The adjustment unit is, When wind direction changes, the AI ​​collects that information and adjusts the launch pattern accordingly. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned monitoring unit, When humidity increases, the AI ​​collects this information and modifies the launch pattern. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned planning department, Based on the show design, we calculate the types and quantities of fireworks needed and optimize costs through efficient resource allocation. The system described in Appendix 1, characterized by the features described herein. (Note 6) The generating unit is We estimate the audience's emotions and adjust the design theme based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 7) The generating unit is By analyzing data from past fireworks shows, successful design patterns are learned and incorporated into new designs. The system described in Appendix 1, characterized by the features described herein. (Note 8) The generating unit is In addition to seasonal and event themes, we generate designs based on local culture and traditions. The system described in Appendix 1, characterized by the features described herein. (Note 9) The generating unit is It estimates the audience's emotions and adjusts the design's colors based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 10) The generating unit is During design generation, different designs are generated based on the age group and gender of the audience. The system described in Appendix 1, characterized by the features described herein. (Note 11) The generating unit is During the design generation process, we analyze audience reactions on social media and generate designs based on current trends. The system described in Appendix 1, characterized by the features described herein. (Note 12) The optimization unit, The system estimates the audience's emotions and adjusts the colors of the fireworks based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 13) The optimization unit, The optimal materials are selected considering the durability and safety of the fireworks materials. The system described in Appendix 1, characterized by the features described herein. (Note 14) The optimization unit, The fireworks launch pattern is optimized to look most beautiful from the audience's perspective. The system described in Appendix 1, characterized by the features described herein. (Note 15) The optimization unit, The system estimates the audience's emotions and adjusts the timing of the fireworks display based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 16) The optimization unit, When optimizing fireworks, we select eco-friendly materials to minimize environmental impact. The system described in Appendix 1, characterized by the features described herein. (Note 17) The optimization unit, When optimizing fireworks, the launch pattern is adjusted to take sound effects into consideration. The system described in Appendix 1, characterized by the features described herein. (Note 18) The adjustment unit is, The system estimates the audience's emotions and adjusts the show's progression based on those estimates. The system described in Appendix 1, characterized by the features described herein. (Note 19) The adjustment unit is, The system adjusts the launch location and timing of the fireworks in real time in response to changes in weather and wind direction. The system described in Appendix 1, characterized by the features described herein. (Note 20) The adjustment unit is, Using drones, the launch locations of fireworks will be monitored in real time, and the optimal launch location will be selected. The system described in Appendix 1, characterized by the features described herein. (Note 21) The adjustment unit is, The system estimates the audience's emotions and adjusts the show's direction based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 22) The adjustment unit is, The music and lighting effects are adjusted in real time in response to changes in weather and wind direction. The system described in Appendix 1, characterized by the features described herein. (Note 23) The adjustment unit is, Drones are used to collect audience reactions in real time and adjust the show's progress accordingly. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned monitoring unit, We will estimate audience sentiment and enhance safety risk monitoring based on the estimated audience sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned monitoring unit, Sensors are used to monitor vibrations and sounds during fireworks displays, and immediate countermeasures are taken if any abnormalities occur. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned monitoring unit, Sensors are used to monitor smoke and gas emissions during fireworks displays, minimizing the environmental impact. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned monitoring unit, It estimates the audience's emotions and issues safety risk warnings based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned monitoring unit, Sensors are used to monitor audience movements and reduce the risk of congestion and panic. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned monitoring unit, Sensors are used to monitor temperature and humidity during fireworks launches, maintaining optimal launch conditions. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned planning department, We estimate the audience's emotions and adjust the production plan based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 31) The aforementioned planning department, By analyzing past show data, we learn the most efficient resource allocation and incorporate it into the production plan. The system described in Appendix 1, characterized by the features described herein. (Note 32) The aforementioned planning department, The fireworks production plan incorporates eco-friendly materials to minimize environmental impact. The system described in Appendix 1, characterized by the features described herein. (Note 33) The aforementioned planning department, We estimate the audience's emotions and determine the priorities of the production plan based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 34) The aforementioned planning department, During the production planning stage, incorporate a logistics plan to optimize the efficiency of transporting and storing the fireworks. The system described in Appendix 1, characterized by the features described herein. (Note 35) The aforementioned planning department, During the production planning stage, we plan the optimal allocation of personnel and equipment necessary for fireworks production. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0193] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. A generation unit that analyzes themes and trends and generates creative fireworks designs, An optimization unit optimizes the materials, colors, and launch pattern of the fireworks based on the fireworks design generated by the generation unit. A control unit that checks the weather and wind direction in real time and adjusts the execution of the show, The monitoring unit uses sensors to monitor safety risks and takes countermeasures before an anomaly occurs. It includes a planning department that automatically calculates the required types and quantities of fireworks and formulates a production plan. A system characterized by the following features.

2. The generating unit is Generate designs that match the theme of the season or event. The system according to feature 1.

3. The adjustment unit is, When wind direction changes, the AI ​​collects that information and adjusts the launch pattern accordingly. The system according to feature 1.

4. The aforementioned monitoring unit, When humidity increases, the AI ​​collects this information and modifies the launch pattern. The system according to feature 1.

5. The aforementioned planning department, Based on the show design, we calculate the types and quantities of fireworks needed and optimize costs through efficient resource allocation. The system according to feature 1.

6. The generating unit is We estimate the audience's emotions and adjust the design theme based on those estimated emotions. The system according to feature 1.

7. The generating unit is By analyzing data from past fireworks shows, successful design patterns are learned and incorporated into new designs. The system according to feature 1.

8. The generating unit is In addition to seasonal and event themes, we generate designs based on local culture and traditions. The system according to feature 1.

9. The generating unit is It estimates the audience's emotions and adjusts the design's colors based on those estimated emotions. The system according to feature 1.

10. The generating unit is During design generation, different designs are generated based on the age group and gender of the audience. The system according to feature 1.

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