Intelligent interaction method and system based on AI digital human

Abstract

The invention discloses an intelligent interaction method and system based on AI digital humans, and relates to the technical field of AI digital humans, and the intelligent interaction system comprises an environment perception analysis module, an AI digital human processing module, a control execution output module and an evaluation maintenance interaction module which are operated in sequence. The technical key points are as follows: the intelligent interaction system successfully constructs an AI digital human capable of intelligently controlling a lighting strategy by combining computer graphics and an artificial intelligence technology, and realizes the technical effects of intelligent environment perception and state judgment, autonomous formulation and execution of the lighting strategy and efficient voice instruction recognition and response; according to the moving speed of the infrared signal source, the system builds and operates the dynamic adjustment model, and generates the brightness increment value of the lamp A corresponding to each adjustment, thereby achieving the dynamic adjustment of the illumination strategy, guaranteeing that pedestrians can clearly see the road conditions, and avoiding the influence of too high brightness on stage actors.

Description

Technical Field

[0001] The present invention relates to the field of AI digital human technology, and in particular to an intelligent interaction method and system based on AI digital human. Background Art

[0002] AI digital human refers to a virtual human with human characteristics and interactive capabilities developed based on artificial intelligence technology. It can simulate human language, expression, sound and behavioral characteristics, and interact with users in a highly realistic manner. This technology integrates computer graphics, speech synthesis, natural language processing, deep learning, image recognition and other advanced technologies. AI digital human can provide users with personalized services and experiences. When AI digital human is applied to lighting systems, the use of lighting systems can be optimized by utilizing the intelligent analysis capabilities of AI digital human to achieve energy-saving and environmental protection goals. AI digital human can also automatically adjust lighting brightness based on factors such as ambient light and indoor personnel activities.

[0003] However, when operating the existing lighting system, especially for some theaters or performance halls, the entrance and exit stairs in this scenario will be equipped with auxiliary lighting fixtures to ensure that lighting conditions are provided for some audiences entering and leaving the venue under dim conditions of the performance. In the existing method, remotely configured AI data people can be used to interact with staff through voice, so as to achieve control of auxiliary lighting fixtures and other lamps, but it only controls their switches, and does not provide fine-grained regulation of the brightness and opening and closing timing of the auxiliary lighting fixtures. The minimum brightness provided by the existing auxiliary lighting fixtures cannot meet the needs of all users. Some users also need to increase the brightness of the existing auxiliary lighting fixtures to see the road clearly. Therefore, there are many problems with the existing system design, and the current interactive technology cannot meet the lighting needs. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides an intelligent interaction method and system based on AI digital human, constructs an AI digital human that can intelligently control lighting strategies, realizes intelligent environmental perception and state judgment, autonomous formulation and execution of lighting strategies, and efficient voice command recognition and response; builds and runs a dynamic adjustment model to generate a brightness increment value for each adjustment of the corresponding lamp A, which realizes dynamic adjustment of the lighting strategy and solves the problems raised in the background technology.

[0005] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: An intelligent interactive system based on AI digital human, the system comprising: The environment perception analysis module builds a rule engine. When the entrance / exit lighting group in the target scene is turned on, a first state signal is issued; when the entrance / exit lighting group in the target scene is turned off and stage lights are detected in the target scene, a second state signal is issued; The AI ​​digital human processing module uses computer graphics and artificial intelligence technology to generate an AI digital human to receive status signals and trigger the set lighting control strategy; it also receives voice commands and adjusts the established lighting strategy based on the analysis results of the voice commands; When a first state signal is received, a conventional lighting strategy is triggered; When the second state signal is received, the energy-saving lighting strategy is triggered, and the built-in monitoring management submodule of the AI ​​digital human processing module is run. When it is detected that there is an infrared signal on any step surface of the access channel ladder in the target scene, the first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed. According to the analysis result, it is decided whether to generate the second control instruction; The control execution output module receives the lighting control strategy, converts it into corresponding control instructions, and simultaneously transmits the received control instructions to the matching lighting groups on the access channel stairs through the Internet of Things technology; The evaluation and maintenance interaction module, under the condition of receiving the first status signal, obtains the status parameters of each lamp A in the lighting group within the same set time period T, constructs an evaluation and maintenance model, and generates the corresponding status valuation of each lamp A under the condition that all lamps A are fault-free. After analyzing each status valuation, the AI ​​digital human decides whether to send the decision instruction to the maintenance end.

[0006] Furthermore, when the conventional lighting strategy is triggered, the lighting group is at the maximum lighting brightness; when the energy-saving lighting strategy is triggered, the lighting group is in the off state.

[0007] Furthermore, the lighting lamp group includes a plurality of lamps A, and the number of lamps A is equal to the number of steps of the access channel stairs. Both sides of each step in the access channel stairs are embedded with lamps A and lamps B of the same specifications as lamps A.

[0008] Furthermore, the process of analyzing the moving speed of the corresponding infrared signal source is as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, a dynamic adjustment model is built and run according to the current moving speed of the infrared signal source to generate a brightness increment value of the corresponding lamp A for each adjustment.

[0009] Furthermore, when building and running the dynamic adjustment model, the formula is as follows: ; In the formula, ΔL represents the brightness increment value, k is an adjustment coefficient, and the value range is: k>0, Indicates the preset value, V indicates the moving speed of the current infrared signal source, Indicates the upper limit of the brightness of lamp A, L indicates the current brightness value of lamp A, α is a smoothing coefficient, and its value range is: 1>α>0.

[0010] Further, when determining whether to generate the second control instruction based on the analysis result, the analysis result is as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, a second control instruction is generated; When the infrared signal source is detected to move at a speed exceeding the preset value, no response will be made.

[0011] Furthermore, the process of receiving the lighting control strategy and converting it into control instructions is as follows: When the received lighting control strategy is a conventional lighting strategy, it is converted into an instruction to control the lighting group to the maximum brightness; when the received lighting control strategy is an energy-saving lighting strategy, it is converted into an instruction to control the lighting group to turn off; The content of the first control instruction is: all the lamps A on the step corresponding to the entrance channel and the adjacent steps are lit, and the brightness is set to the lowest brightness; The content of the second control instruction is: the lamps A on the step corresponding to the entrance channel and the adjacent steps are all lit, the initial brightness is set to the lowest brightness, and the brightness is increased step by step according to the brightness increment value until the moving speed of the infrared signal source exceeds the preset value.

[0012] Furthermore, the state parameters include light intensity, color temperature deviation value and energy consumption value; the process of constructing the evaluation and maintenance model is as follows: First, based on the state parameters, the mean light intensity, mean color temperature deviation, and energy consumption of the same lamp are calculated within the same time period T; Secondly, based on the average light intensity, average color temperature deviation and energy consumption value of the same lamp, the following formula is established to calculate the comprehensive status valuation: ; In the formula, Cg represents the state estimation, represents the mean light intensity, Indicates the standard value corresponding to the light intensity. represents the mean color temperature deviation, Indicates the maximum acceptable value of color temperature deviation, It represents the standard value corresponding to energy consumption, and E represents the energy consumption value.

[0013] Furthermore, the process of analyzing the state estimation corresponding to each lamp A is as follows: The mode of all state estimations is taken as the evaluation threshold. If the difference between the state estimation of any lamp A and the evaluation threshold exceeds the set maximum error value, it is determined that the corresponding lamp A has an abnormal risk; otherwise, there is no abnormal risk. The maximum error value set is 1% of the evaluation threshold; After receiving the conclusion that the corresponding lamp A has an abnormal risk, the AI ​​digital human marks the position of the corresponding lamp A, starts the lamp B on the same level as the marked lamp A, and sends the decision instruction to the maintenance end to shut down the corresponding lamp A. The maintenance end uses a remote control terminal to control the corresponding lamp A or B through wireless communication technology.

[0014] An intelligent interaction method based on AI digital human, comprising the following steps: S1. Build a rule engine. When the entrance / exit lighting group in the target scene is turned on, a first state signal is issued; when the entrance / exit lighting group in the target scene is turned off and stage lighting is detected in the target scene, a second state signal is issued; S2. Using computer graphics and artificial intelligence technology, AI digital humans are generated to receive status signals and trigger the set lighting control strategy; they also receive voice commands and adjust the established lighting strategy based on the analysis results of the voice commands; When a first state signal is received, a conventional lighting strategy is triggered; When the second state signal is received, the energy-saving lighting strategy is triggered, and when an infrared signal is detected on any step surface of the access channel ladder in the target scene, a first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed, and whether to generate a second control instruction is determined according to the analysis result; S3. Receive the lighting control strategy, convert it into corresponding control instructions, and simultaneously transmit the received control instructions to the matching lighting groups on the access channel stairs through the Internet of Things technology; S4. Under the condition of receiving the first status signal, the status parameters of each lamp A in the lighting group are obtained within the same set time period T, and an evaluation and maintenance model is constructed. Under the condition that each lamp A is fault-free, a corresponding status estimation of each lamp A is generated. After analyzing each status estimation, the AI ​​digital human is used to decide whether to send the decision instruction to the maintenance end.

[0015] (III) Beneficial effects The present invention provides an intelligent interaction method and system based on AI digital human, which has the following beneficial effects: (1) By combining computer graphics and artificial intelligence technologies, the intelligent interactive system successfully built an AI digital human that can intelligently control lighting strategies, realizing intelligent environmental perception and state judgment, autonomous formulation and execution of lighting strategies, and efficient voice command recognition and response technology effects, which provides workers with a convenient and efficient lighting control experience; (2) Based on the moving speed of the infrared signal source, the system builds and runs a dynamic adjustment model to generate the brightness increment value of the corresponding lamp A each time it is adjusted. This realizes the dynamic adjustment of the lighting strategy, ensuring that pedestrians can see the road conditions clearly while avoiding the impact of excessive brightness on stage actors. Subsequently, the lighting control strategy is received and converted into corresponding control instructions, which are efficiently and accurately transmitted to the lighting group through the Internet of Things technology to ensure that the lighting effect is consistent with expectations. (3) By constructing an evaluation and maintenance model, this solution can automatically and real-time obtain the status parameters of the corresponding lighting fixtures, conduct a comprehensive analysis, and generate an accurate status valuation, which greatly improves the accuracy and efficiency of the lighting fixture status assessment; by continuously monitoring the status parameters of the lighting fixtures and constructing a comprehensive status valuation, unlike simply monitoring any type of data in the status parameters, an early warning is issued when the corresponding type of data exceeds the standard, and potential fault hazards can be discovered in a timely manner, which helps maintenance personnel take measures in advance to avoid faults and ensure the stability and reliability of the lighting system; (4) After the introduction of AI digital humans, they can automatically analyze state valuations and intelligently generate decision instructions. These instructions are sent to the maintenance end through wireless communication technology, realizing remote control and intelligent management, greatly improving the efficiency of generating and transmitting decision instructions, and reducing the time for manual intervention and decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a real-life picture of the lighting fixtures in the present invention arranged on part of the access passage steps; Figure 2 A modular schematic diagram of an intelligent interactive system based on AI digital human in the present invention; Figure 3 The figure is a schematic diagram of the overall process of an intelligent interaction method based on AI digital human in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: See also Figure 1 to Figure 2 , this embodiment provides an intelligent interaction system based on AI digital human; The application scenario of this system is: in the theater or performance hall environment, the AI ​​digital human interaction system is used to interactively control and manage the lighting fixtures equipped on the entrance steps in the theater or performance hall in the current environment; from Figure 1 It can be seen that in some passage stairs, each step is equipped with lamps A and B on both sides; Lamp A is used as the main working light source and is usually embedded in the side wall of the corresponding step to illuminate the corresponding step surface, facilitating safe walking in a dim environment. Lamp A usually uses a lower color temperature (such as 2700K-3000K) because warm-toned lights provide sufficient lighting while consuming relatively low energy. Lamp B is used as a backup light source and is also embedded in the side wall of the step opposite to the corresponding lamp A. It is used when it is needed to cooperate with stage performances or replace abnormal light sources. The model or type of lamp B is the same as that of lamp A, so it will not be described in detail here. The intelligent interactive system includes an environmental perception and analysis module, an AI digital human processing module, a control execution output module, and an evaluation and maintenance interactive module, which operate in sequence; The following is a detailed description of each functional module: Environmental perception analysis module: Build a rule engine. When the entrance / exit factory light group is turned on in the target scene, a first state signal is issued; when the entrance / exit factory light group is turned off in the target scene and stage lights are detected in the target scene, a second state signal is issued; Among them, the target scenes include theaters or performance halls; The entrance / exit light group is a light group composed of several lights located above the auditorium in the target scene. When the entrance / exit light group is turned on, it indicates that the target scene is in the state of exiting or entering. When the entrance / exit light group is turned off, it usually means that the theater is performing or unoccupied. In order to exclude the state of unoccupied, additional restrictions are added: stage lights are detected in the target scene, which means that the target scene is in the state of performing. The triggering conditions for the first state signal and the second state signal are set in advance. By sensing the theater environment, the state of the theater is obtained, and then the triggering conditions are obtained.

[0019] AI digital human processing module: Using computer graphics and artificial intelligence technology, AI digital humans are generated to receive status signals and trigger the set lighting control strategy; they also receive voice commands simultaneously and adjust the established lighting strategy based on the analysis results of the voice commands; When the first state signal is received, the conventional lighting strategy is triggered, and the lighting group equipped on the side wall of the approach channel stairs in the target scene is at the maximum lighting brightness; When the second status signal is received, the energy-saving lighting strategy is triggered, the lighting group equipped on the side wall of the access channel stairs in the target scene is turned off, and the monitoring management submodule built into the AI ​​digital human processing module is run: When an infrared signal is detected on any step surface of the approach channel, a first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed, and whether to generate a second control instruction is determined according to the analysis result; If no infrared signal is detected on any step of the approach channel, no response action will be taken; The lighting lamp group includes a plurality of lamps A, and the number of the lamps A is equal to the number of stages; Using advanced computer graphics (CG) and artificial intelligence (AI) technology, we created an AI digital human with a highly realistic appearance and smooth movements. This digital human can intelligently analyze and execute corresponding lighting strategies based on the user's instructions and contextual information. For example, if the user requires "turn on all the lighting groups in the approach channel and make the lights flash", the AI ​​digital human will autonomously analyze the instructions and control the lighting groups to achieve the specified effect. The technical architecture is as follows: 1. Construction of AI Digital Human Appearance and motion generation: high-precision 3D modeling technology combined with deep learning algorithms is used to generate digital human models with real skin texture, delicate expressions and natural movements; Speech recognition and natural language processing: an advanced speech recognition system is integrated to convert user voice commands into text, and the intent of the command is understood through natural language processing technology; Decision-making and planning: using machine learning algorithms, lighting control strategies are formulated according to the command content and preset rules; 2. Lighting system integration Smart lighting group subsystem: Build a smart lighting group subsystem based on the Internet of Things (IoT) to achieve remote control and status monitoring of the lighting group; Communication protocol: Ensure efficient interaction between the AI ​​digital human and the smart lighting group subsystem through Wi-Fi, Bluetooth or proprietary communication protocols; 3. Data Analysis and Processing Real-time data analysis: collect status signals fed back by the environmental perception analysis module, and combine them with voice commands for real-time analysis and processing; optimization strategy: dynamically adjust the current lighting strategy based on the analysis results, complete lighting control, and ensure that the lighting effect meets the expectations of the staff; The implementation steps are as follows: Receiving voice commands: The staff issues commands through voice: "Turn on all lighting groups in the access channel and flash the lights"; Command analysis: The AI ​​digital human converts voice commands into text through voice recognition technology, and uses natural language processing technology to analyze the commands and identify keywords: "turn on", "all lighting groups in the access channel", "flashing lights"; Strategy formulation: According to the analysis results, formulate lighting control strategies: Target area: all lighting groups in the approach channel; Action: Turn on to maximum brightness and set the flashing effect; Flashing frequency: flashes once every 0.5 seconds; the specific interval time can be set according to needs; Execution control: The AI ​​digital human sends control instructions to the lighting group in the intelligent lighting group subsystem through the communication protocol; the instructions are executed immediately after receiving them, turning on the lighting group in the target area to the maximum brightness, and starting the flashing program; Feedback and adjustment: The intelligent lighting group subsystem feeds back the execution status to the AI ​​digital human in real time. If an abnormal situation occurs (such as the light group does not respond), the AI ​​digital human will automatically adjust the strategy and try to resend the instructions or notify the maintenance personnel; Work confirmation: The staff observes the lighting effect to confirm whether it meets the requirements; if necessary, further adjustments can be made through voice or interface.

[0020] The system advantages are as follows: Highly intelligent: AI digital humans can accurately understand user instructions, independently formulate and execute lighting strategies; Strong activity: Supports a variety of lighting scenes and effects, and can be customized according to user needs; Real-time feedback: Real-time feedback on the lighting system status to ensure that the lighting effect is consistent with the needs; Easy to expand: The system can easily integrate more smart devices to achieve more complex scene control; In summary, by combining computer graphics and artificial intelligence technology, this solution successfully built an AI digital human that can intelligently control lighting strategies. This digital human can not only accurately understand user instructions, but also dynamically adjust the lighting according to the environmental status, providing staff with a convenient and efficient lighting control experience.

[0021] By building a rule engine, the system can accurately sense the switch status of the incoming / outgoing factory lighting group and the presence or absence of stage lights, and automatically send out corresponding status signals, which realizes the intelligent perception and judgment of the environmental status; the AI ​​digital human processing module can receive status signals and independently formulate lighting strategies according to preset rules. At the same time, the system can also dynamically adjust the lighting strategy according to voice commands, realizing the intelligent and automated lighting control; the system integrates advanced speech recognition and natural language processing technologies, which can accurately recognize the voice commands of staff and respond quickly. This improves the convenience and efficiency of lighting control; In summary, this intelligent interactive system has successfully built an AI digital human that can intelligently control lighting strategies by combining computer graphics and artificial intelligence technology. It not only solves technical problems related to environmental perception, lighting strategy formulation and execution, and voice command recognition and response, but also realizes intelligent environmental perception and state judgment, autonomous formulation and execution of lighting strategies, and efficient voice command recognition and response technical effects, which provides staff with a convenient and efficient lighting control experience.

[0022] The process of analyzing the moving speed of the corresponding infrared signal source is as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, it means that the corresponding pedestrian cannot see the road conditions clearly or the illumination range needs to be increased to meet real-time needs. According to the current moving speed of the infrared signal source, a dynamic adjustment model is built and run to generate the brightness increment value of the corresponding lamp A each time; When building and running a dynamic adjustment model, the formula used is as follows: ; In the formula, ΔL represents the brightness increment value, k is an adjustment coefficient, and the value range is: k>0, Indicates the preset value, which defines the minimum speed of a normal pedestrian walking on the stairs. V indicates the moving speed of the current infrared signal source. The infrared signal source represents the corresponding pedestrian. Indicates the upper limit of the brightness of lamp A, L indicates the current brightness of lamp A, α is a smoothing coefficient, which is used to adjust the smoothness of the formula when it is close to the preset value, and the value range is: 1>α>0; The logic is as follows: When the moving speed of the infrared signal source does not exceed the preset value, the brightness increase ΔL is proportional to the difference between the current moving speed V of the infrared signal source and the preset value, and is also affected by the adjustment coefficient k. In addition, it is also necessary to ensure that the brightness increase does not cause the total brightness to exceed the upper limit of the brightness of the lamp A. Proportional relationship: Indicates the difference ratio between the current speed and the preset value. The larger the difference, the greater the brightness increase should be; Limited increase: Ensure that the brightness increase does not exceed the preset brightness upper limit; Adjustment coefficient: k is used to control the speed and sensitivity of brightness increase, which can be adjusted according to actual conditions; Smooth transition: It is a sigmoid function, which is used to provide a smooth transition when approaching the preset value to avoid a sudden change in the brightness increase. It should be noted that when the pedestrian's moving speed exceeds the preset value, the brightness increase ΔL should be 0, that is, the brightness will no longer increase. Acquisition of the moving speed of the infrared signal source: Based on the time (t1, t2) when the infrared sensors on two adjacent steps first detect the infrared signal of the human body, combined with the fixed distance value S between the adjacent steps, the fixed distance value S is divided by the difference between the two moments (t1, t2), so as to obtain the real-time moving speed; The analysis results are as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, a second control instruction is generated; When the infrared signal source is detected to move at a speed exceeding the preset value, no response will be made.

[0023] Control execution output module: Receive lighting control strategies, convert them into corresponding control instructions, and simultaneously transmit the received control instructions to the lighting group through the Internet of Things technology; It should be noted that: conventional lighting strategy and energy-saving lighting strategy together constitute the lighting control strategy; The process of receiving the lighting control strategy and converting it into a control instruction is as follows: When the received lighting control strategy is a conventional lighting strategy, it is converted into an instruction to control the lighting group to the maximum brightness; when the received lighting control strategy is an energy-saving lighting strategy, it is converted into an instruction to control the lighting group to turn off; The content of the first regulatory directive is as follows: All lamps A on the corresponding step and adjacent steps are turned on, and the brightness is set to the lowest brightness; Example: Irradiation range correspondence Figure 1 The U1 area in the middle is to avoid or reduce the impact of excessive brightness on stage actors during the performance; The content of the second regulatory directive is as follows: The lamps A on the corresponding step and the adjacent step are all lit, the initial brightness is set to the lowest brightness, and the brightness is increased step by step according to the brightness increment value until the moving speed of the infrared signal source exceeds the preset value; Example: Process reference for step-by-step changes in irradiation range Figure 1Among them, U1-U2-U3-U4, U4 is used to set the maximum brightness range. Even if the moving speed of the infrared signal source has not exceeded the preset value, U4 here is the final setting operation of the step-by-step operation.

[0024] According to the moving speed of the infrared signal source, the system can build and run a dynamic adjustment model to generate the brightness increment value of the corresponding lamp A for each adjustment. This realizes the dynamic adjustment of the lighting strategy, ensuring that pedestrians can see the road conditions clearly, while avoiding the impact of excessive brightness on stage actors; the control execution output module can receive the lighting control strategy and convert it into corresponding control instructions, and transmit these instructions to the lighting group efficiently and accurately through the Internet of Things technology to ensure that the lighting effect is consistent with expectations; In summary, in terms of the infrared signal source movement speed analysis process and the control execution output module, the intelligent interactive system has successfully solved the technical problems related to how to analyze the movement speed of the infrared signal source, how to adjust the lighting strategy, and how to transmit and execute control instructions. It has achieved the technical effects of accurate infrared signal source movement speed analysis, dynamically adjusted lighting strategy, and efficient control instruction transmission and execution, providing strong technical support for intelligent lighting control in complex environments such as theaters.

[0025] Evaluation and maintenance interactive module: Under the condition of receiving the first state signal, the state parameters of each lamp A in the lighting lamp group are obtained within the same set time period T, and an evaluation and maintenance model is constructed. Under the condition that each lamp A is fault-free, a state estimation corresponding to each lamp A is generated. After analyzing each state estimation, the AI ​​digital human decides whether to send a decision instruction to the maintenance end; Wherein, under the condition of receiving the first state signal, it means that the conditions of each lamp in the same random time period T when the audience leaves or enters the venue are regularly compared, and each lamp A is turned on synchronously during this period, which is convenient for hidden danger assessment; the value range of T is a positive integer greater than 0; The status parameters include: Light intensity, color temperature deviation and energy consumption; The light intensity is obtained in real time through the equipped light sensor; the color temperature deviation value is obtained through analysis and measurement by a spectrum analysis device equipped with a multi-channel detector, which can analyze the composition and color temperature of light to obtain the color temperature deviation value; the energy consumption value is obtained in real time through the equipped power sensor; Under the condition that all lamps A are not faulty, it means: The corresponding light intensity, color temperature deviation value and energy consumption value do not exceed the corresponding setting standards. For example, if the light intensity does not exceed the corresponding standard light intensity, it means that the corresponding lamp A has no fault. If it exceeds, it means that it has an obvious fault. It can be repaired or replaced in time by conventional existing technical means, so it will not be described in detail here. The process of building an assessment and repair model is as follows: First, based on the state parameters, the average light intensity, color temperature deviation and energy consumption of the same lamp are calculated in the same time period T; the average value is calculated by averaging; Secondly, based on the average light intensity, average color temperature deviation and energy consumption value of the same lamp, the following formula is established to calculate the comprehensive status valuation: ; In the formula, Cg represents the state estimation, represents the mean light intensity, Indicates the standard value corresponding to the light intensity. represents the mean color temperature deviation (deviation from the expected color temperature), Indicates the maximum acceptable value of color temperature deviation, that is, the corresponding standard value, which is used to normalize the color temperature deviation to the range of 0 to 1. Indicates the standard value corresponding to energy consumption, Similarly, it can be the design standard or the mean of historical data, and E represents the energy consumption value; It should be noted that the comprehensive status valuation can reflect the overall performance of the corresponding lamp, and we do not want any single indicator to dominate too much, so we choose to normalize these three indicators and take their geometric mean (or other forms of combination, but the geometric mean can be used as a reasonable choice here that takes into account all indicators without over-emphasizing extreme values). In order to simplify the form, we first make a simple linear combination of each indicator and make appropriate adjustments to the combination result to ensure its rationality; the calculated comprehensive status valuation can reflect the status of the same lamp, which is convenient for subsequent judgment of whether it has potential faults; The process of analyzing the state estimation corresponding to each lamp A is as follows: Finally, the mode of all state estimations is taken as the evaluation threshold. If the difference between the state estimation of any lamp A and the evaluation threshold exceeds the set maximum error value, it is determined that the corresponding lamp A has an abnormal risk; otherwise, there is no abnormal risk. The difference between the state estimate and the evaluation threshold is always a positive number, so the difference = |state estimate - evaluation threshold|; The maximum error value set is 1% of the evaluation threshold; After receiving the conclusion that the corresponding lamp A has an abnormal risk, the AI ​​digital human marks the location of the corresponding lamp A, and sends the instruction to start the lamp B corresponding to lamp A and the decision instruction to turn off the corresponding lamp A to the maintenance end. The maintenance end uses a remote control terminal to control the corresponding lamp A or B through wireless communication technology, and sends the maintenance information to the maintenance personnel. After the maintenance personnel learns the location of the corresponding lamp A with an abnormal risk, they can arrange time to go for maintenance.

[0026] By building an evaluation and maintenance model, this solution can automatically and in real time obtain the status parameters of the lamps, such as the brightness intensity, color temperature deviation value, and energy consumption value, and conduct a comprehensive analysis to generate an accurate status valuation, which greatly improves the accuracy and efficiency of the lamp status assessment; by continuously monitoring the status parameters of the lamps and building a comprehensive status valuation, potential fault hazards can be discovered in a timely manner, which helps maintenance personnel take measures in advance to avoid faults and ensure the stability and reliability of the lighting system; after the introduction of AI digital humans, the status valuation can be automatically analyzed and decision instructions can be intelligently generated. These instructions are sent to the maintenance end through wireless communication technology, realizing remote control and intelligent management, greatly improving the generation and transmission efficiency of decision instructions, and reducing the time for manual intervention and decision-making; To sum up, by adopting the above-mentioned technical scheme, the problems of poor lamp status assessment, the inability to detect hidden faults early, and the slow artificial generation of decision instructions are solved, and the technical effects of improving the accuracy and efficiency of lamp status assessment, realizing early detection and prevention of hidden faults, and realizing intelligent generation and transmission of decision instructions are achieved. This provides strong technical support for the intelligent management and maintenance of lighting systems.

[0027] Embodiment 2: See also Figure 3 Based on Example 1, this embodiment further provides an intelligent interaction method based on AI digital human, including the following specific steps: S1. Build a rule engine. When the entrance / exit lighting group in the target scene is turned on, a first state signal is issued; when the entrance / exit lighting group in the target scene is turned off and stage lighting is detected in the target scene, a second state signal is issued; S2. Using computer graphics and artificial intelligence technology, AI digital humans are generated to receive status signals and trigger the set lighting control strategy; they also receive voice commands and adjust the established lighting strategy based on the analysis results of the voice commands; When a first state signal is received, a conventional lighting strategy is triggered; When the second state signal is received, the energy-saving lighting strategy is triggered, and when an infrared signal is detected on any step surface of the access channel ladder in the target scene, a first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed, and whether to generate a second control instruction is determined according to the analysis result; S3. Receive the lighting control strategy, convert it into corresponding control instructions, and simultaneously transmit the received control instructions to the matching lighting groups on the access channel stairs through the Internet of Things technology; S4. Under the condition of receiving the first status signal, the status parameters of each lamp A in the lighting group are obtained within the same set time period T, and an evaluation and maintenance model is constructed. Under the condition that each lamp A is fault-free, a corresponding status estimation of each lamp A is generated. After analyzing each status estimation, the AI ​​digital human is used to decide whether to send the decision instruction to the maintenance end.

[0028] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0029] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0030] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0031] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent interactive system based on AI digital human, the system comprising: The environmental perception analysis module builds a rule engine and sends out the first status signal when the entry / exit factory light group is turned on in the target scene; When the incoming / outgoing factory light group is turned off in the target scene and the stage light is detected in the target scene, a second state signal is sent; characterized in that: it also includes: The AI ​​digital human processing module uses computer graphics and artificial intelligence technology to generate an AI digital human to receive status signals and trigger the set lighting control strategy; it also receives voice commands and adjusts the established lighting strategy based on the analysis results of the voice commands; When a first state signal is received, a conventional lighting strategy is triggered; When the second state signal is received, the energy-saving lighting strategy is triggered, and the built-in monitoring management submodule of the AI ​​digital human processing module is run. When it is detected that there is an infrared signal on any step surface of the access channel ladder in the target scene, the first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed. According to the analysis result, it is decided whether to generate the second control instruction; The control execution output module receives the lighting control strategy, converts it into corresponding control instructions, and simultaneously transmits the received control instructions to the matching lighting groups on the access channel stairs through the Internet of Things technology; The evaluation and maintenance interaction module, under the condition of receiving the first status signal, obtains the status parameters of each lamp A in the lighting group within the same set time period T, constructs an evaluation and maintenance model, and generates the corresponding status valuation of each lamp A under the condition that all lamps A are fault-free. After analyzing each status valuation, the AI ​​digital human decides whether to send the decision instruction to the maintenance end.

2. The intelligent interactive system based on AI digital human according to claim 1, characterized in that: When the conventional lighting strategy is triggered, the lighting group is at the maximum lighting brightness; when the energy-saving lighting strategy is triggered, the lighting group is in the off state.

3. The intelligent interactive system based on AI digital human according to claim 1, characterized in that: The lighting lamp group includes a number of lamps A, and the number of lamps A is equal to the number of steps of the access channel stairs. Each step in the access channel stairs is embedded with lamps A and lamps B of the same specifications as lamps A on both sides.

4. The intelligent interactive system based on AI digital human according to claim 3, characterized in that: The process of analyzing the moving speed of the corresponding infrared signal source is as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, a dynamic adjustment model is built and run according to the current moving speed of the infrared signal source to generate a brightness increment value of the corresponding lamp A for each adjustment.

5. The intelligent interactive system based on AI digital human according to claim 4, characterized in that: When building and running a dynamic adjustment model, the formula used is as follows: ； In the formula, ΔL represents the brightness increment value, k is an adjustment coefficient, and the value range is: k>0, Indicates the preset value, V indicates the moving speed of the current infrared signal source, Indicates the upper limit of the brightness of lamp A, L indicates the current brightness value of lamp A, α is a smoothing coefficient, and its value range is: 1>α>0.

6. The intelligent interactive system based on AI digital human according to claim 4, characterized in that: When determining whether to generate the second control instruction based on the analysis result, the analysis result is as follows: When it is detected that the moving speed of the infrared signal source does not exceed the preset value, a second control instruction is generated; When the infrared signal source is detected to move at a speed exceeding the preset value, no response will be made.

7. The intelligent interactive system based on AI digital human according to claim 6, characterized in that: The process of receiving lighting control strategies and converting them into control instructions is as follows: When the received lighting control strategy is a conventional lighting strategy, it is converted into an instruction to control the lighting group to the maximum brightness; when the received lighting control strategy is an energy-saving lighting strategy, it is converted into an instruction to control the lighting group to turn off; The content of the first control instruction is: all the lamps A on the step corresponding to the entrance channel and the adjacent steps are lit, and the brightness is set to the lowest brightness; The content of the second control instruction is: the lamps A on the step corresponding to the entrance channel and the adjacent steps are all lit, the initial brightness is set to the lowest brightness, and the brightness is increased step by step according to the brightness increment value until the moving speed of the infrared signal source exceeds the preset value.

8. The intelligent interactive system based on AI digital human according to claim 1, characterized in that: The status parameters include light intensity, color temperature deviation value and energy consumption value; the process of building the evaluation and maintenance model is as follows: First, based on the state parameters, the mean light intensity, mean color temperature deviation, and energy consumption of the same lamp are calculated within the same time period T; Secondly, based on the average light intensity, average color temperature deviation and energy consumption value of the same lamp, the following formula is established to calculate the comprehensive status valuation: ； In the formula, Cg represents the state estimation, represents the mean light intensity, Indicates the standard value corresponding to the light intensity. represents the mean color temperature deviation, Indicates the maximum acceptable value of color temperature deviation, It represents the standard value corresponding to energy consumption, and E represents the energy consumption value.

9. The intelligent interactive system based on AI digital human according to claim 8, characterized in that: The process of analyzing the state estimation corresponding to each lamp A is as follows: The mode of all state estimations is taken as the evaluation threshold. If the difference between the state estimation of any lamp A and the evaluation threshold exceeds the set maximum error value, it is determined that the corresponding lamp A has an abnormal risk; otherwise, there is no abnormal risk. The maximum error value set is 1% of the evaluation threshold; After receiving the conclusion that the corresponding lamp A has an abnormal risk, the AI ​​digital human marks the position of the corresponding lamp A, starts the lamp B on the same level as the marked lamp A, and sends the decision instruction to the maintenance end to shut down the corresponding lamp A. The maintenance end uses a remote control terminal to control the corresponding lamp A or B through wireless communication technology.

10. An intelligent interaction method based on AI digital human, using any system described in claims 1 to 9, characterized in that: The steps include: S1. Build a rule engine. When the entrance / exit lighting group in the target scene is turned on, a first state signal is issued; when the entrance / exit lighting group in the target scene is turned off and stage lighting is detected in the target scene, a second state signal is issued; S2. Using computer graphics and artificial intelligence technology, generate AI digital human to receive status signals and trigger the set lighting control strategy; Receive voice commands synchronously and adjust the established lighting strategy based on the analysis results of the voice commands; When a first state signal is received, a conventional lighting strategy is triggered; When the second state signal is received, the energy-saving lighting strategy is triggered, and when an infrared signal is detected on any step surface of the access channel ladder in the target scene, a first control instruction is generated, and the moving speed of the corresponding infrared signal source is analyzed, and whether to generate a second control instruction is determined according to the analysis result; S3. Receive the lighting control strategy, convert it into corresponding control instructions, and simultaneously transmit the received control instructions to the matching lighting groups on the access channel stairs through the Internet of Things technology; S4. Under the condition of receiving the first status signal, the status parameters of each lamp A in the lighting group are obtained within the same set time period T, and an evaluation and maintenance model is constructed. Under the condition that each lamp A is fault-free, a corresponding status estimation of each lamp A is generated. After analyzing each status estimation, the AI ​​digital human is used to decide whether to send the decision instruction to the maintenance end.

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