Interactive induction integrated control mode

Abstract

The invention discloses an interactive sensing integrated control mode, which is characterized in that a multi-dimensional pyroelectric sensing array, a light intensity sensor and a capacitive sensor are connected to an edge calculation main control unit through an IC / SPI bus, and real-time data are transmitted between a millimeter wave radar and an ultrasonic sensor and the edge calculation main control unit through a high-speed ADC; the edge calculation main control unit fuses multi-source data, executes trajectory prediction and light field modeling and outputs a PWM dimming instruction to the adaptive light control module, the adaptive light control module receives a PWM signal and drives the lamp bead module to realize brightness / color temperature adjustment, nodes of the communication and networking module are interconnected through Zigbe3.0 and a light control protocol, the edge calculation main control unit serves as a coordinator, and the edge calculation main control unit is connected with the edge calculation main control unit. The human body movement and position change can be captured in real time and three-dimensional space coordinates can be constructed by integrating a multi-dimensional pyroelectric sensing array, a millimeter wave radar and an ultrasonic sensor, so that the positioning precision and accuracy are improved, and meanwhile, online induction sensitivity adjustment is supported.

Description

Technical Field

[0001] The present invention belongs to the technical field of light sensing, and particularly relates to an interactive induction integrated control method. Background Art

[0002] With the continuous development of technology, people's requirements for the interactivity and intelligence of lighting systems are increasing day by day. Traditional lighting systems usually adopt simple light control switches or timing controls, and cannot automatically adjust the light brightness and sensing distance according to the movement and position change of the human body. This lack of interactive induction control design leads to poor user experience and energy waste problems. Therefore, it becomes particularly important to develop an intelligent lighting system that can real-time monitor the movement and position change of the human body and automatically adjust the light brightness and sensing distance.

[0003] In addition, existing intelligent lighting systems usually adopt a single sensor or simple control logic, and cannot achieve high-precision human movement and position monitoring, as well as the function of real-time adjusting the light brightness and sensing distance. Moreover, existing technologies usually need to rely on a central control unit, which leads to problems of communication delay and low data processing efficiency.

[0004] In view of this, we propose an interactive induction integrated control method, which can automatically adjust the light brightness and sensing distance according to the position and speed of the human body walking above the lamp through an integrated induction control technology, and realize an intelligent and energy-saving lighting experience. Summary of the Invention

[0005] The technical problem to be solved by the present invention is that in the above-mentioned prior art, the lighting system usually adopts a simple light control switch or timing control, and cannot automatically adjust the light brightness and sensing distance according to the movement and position change of the human body.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An interactive induction integrated control method includes a circuit board, on which a multi-dimensional pyroelectric sensing array, an edge computing main control unit, an adaptive light control module, an environmental perception subsystem, a communication and networking module, and a lamp bead module are integrally integrated;

[0008] Among them, the multi-dimensional pyroelectric sensing array adopts an 8×8 matrix infrared detector with a Fresnel lens group integrated thereon; the edge computing master unit adopts an ARM Cortex-M7 processor and integrates the OpenMV machine vision framework; the driving circuit of the adaptive light control module adopts a PWM adjustable constant current driving circuit; the environmental perception subsystem is a multi-modal perception network composed of an integrated light intensity sensor, a millimeter wave radar, and an ultrasonic sensor; the communication and networking module adopts Zigbee 3.0 wireless communication and supports TDMA time division multiple access, and the lamp bead module is composed of several LED lamp beads evenly distributed on the circuit board and adopts an adjustable color temperature LED array;

[0009] The multi-dimensional pyroelectric sensing array and the light intensity sensor are connected to the edge computing master unit through the I²C / SPI bus. The millimeter wave radar and the ultrasonic sensor transmit real-time data to the edge computing master unit through a high-speed ADC. The edge computing master unit fuses multi-source data, performs trajectory prediction and light field modeling, and outputs PWM dimming instructions to the adaptive light control module. The adaptive light control module receives the PWM signal and drives the lamp bead module to achieve brightness / color temperature adjustment. Each node of the communication and networking module is interconnected through the Zigbee 3.0 protocol, and the edge computing master unit acts as a coordinator to synchronize control instructions.

[0010] Preferably, a power management module, a signal conditioning module, a clock synchronization module, and a debugging interface module are also integrated on the circuit board; the lighting control signal and the induction signal are integrated and transmitted together, and the induction signal is filled back while receiving the lighting control signal;

[0011] The clock synchronization module is used to ensure the time domain alignment of multi-sensor data;

[0012] The signal conditioning module is used to amplify and filter the sensor signal;

[0013] The power management module is used to complete AC / DC conversion and multi-channel voltage distribution.

[0014] The power management module provides a stable power supply, ensuring the reliability and stability of the system, and avoiding performance instability or damage caused by power fluctuations.

[0015] The signal conditioning module amplifies and filters the sensor signal, which can improve the signal-to-noise ratio of the signal, reduce noise interference, and make the sensor data more accurate.

[0016] The clock synchronization module ensures the temporal alignment of multi-sensor data, which is crucial for the correct operation of algorithms such as trajectory prediction and light field modeling, and improves the consistency and accuracy of data processing.

[0017] The debugging interface module facilitates developers to perform program burning, parameter calibration, and fault diagnosis, accelerating the development process and reducing maintenance costs.

[0018] Preferably, the power management module provides stable power supply for all modules. The pyroelectric sensing array and the environmental perception subsystem collect data such as human movement and ambient light in real time. The original signals are filtered and amplified by the signal conditioning module and then transmitted to the edge computing master unit. The edge computing master unit aligns the timing of each sensor through the clock synchronization module, fuses multi-source data and runs trajectory prediction and light field calculation algorithms to generate PWM dimming instructions and color temperature parameters, and sends them to the adaptive light control module to drive the light bead module to turn on and off and fade. The communication and networking module is responsible for data transmission and collaborative control between nodes. The debugging interface module provides functions such as program burning, parameter calibration, and fault diagnosis, forming a full-closed-loop intelligent control link from perception to decision-making to execution and then to feedback.

[0019] Preferably, the multi-dimensional pyroelectric sensing array achieves a horizontal scanning coverage of ±85°, and the detection distance is 0.1 - 8 meters. It provides a wide monitoring range, can cover a broader space, thus more accurately monitoring the position and movement of the human body, improving the interactivity and user experience of the system. It can achieve precise detection at different distances, automatically adjust the lighting according to the user's position, and avoid over-illumination or under-illumination.

[0020] Preferably, the PWM adjustable constant current drive circuit supports continuous adjustment of 0 - 255 levels of gray scale, and the brightness dynamic range reaches 0.1 - 3000 lux. It can provide a more comfortable and personalized lighting environment, meeting different occasions and user preferences. It can be flexibly adjusted between extremely low brightness and extremely high brightness, adapting to different lighting needs, saving energy, and improving lighting efficiency.

[0021] Preferably, the core device of the light intensity sensor uses a photodiode or an integrated digital light sensor, with a measurement range of 0 - 100,000 lux, covering the entire environmental light intensity from complete darkness to direct sunlight at noon. Covering the entire light intensity range from complete darkness to direct sunlight at noon enables the lighting system to accurately sense the ambient light in various environments, automatically adjust the lighting, and improve user comfort and energy-saving effects.

[0022] Preferably, the millimeter-wave radar operates in the 24 GHz frequency band, with a wavelength of 12.5 mm, a detection distance of 0.5 - 15 meters, a speed resolution of 0.1 m / s, and an angular accuracy of ±3°. The high frequency and short wavelength provide high-precision detection capabilities, which can accurately measure the speed and angle of human movement, improving the interactivity and response speed of the system. The large detection distance and precise speed resolution enable the lighting system to respond in real time to changes in the position of the human body, providing a more dynamic lighting experience.

[0023] Preferably, the operating frequency of the ultrasonic sensor is 40 kHz ultrasonic waves, with a wavelength of 8.5 mm in air, a detection distance of 0.02 - 5 meters, and an accuracy of ±1 cm. High-frequency ultrasonic waves have a shorter wavelength, enabling high-precision distance measurement, especially providing very accurate position information within a short distance. Precise distance detection can improve the intelligence of the lighting system, enabling the system to more precisely control the brightness and range of the lights, and avoiding unnecessary energy waste.

[0024] Compared with the prior art, the technical effects and advantages of the present invention are:

[0025] With this integrated interactive induction control method that combines a capacitive induction array, a multi-dimensional pyroelectric sensing array, a millimeter-wave radar, and an ultrasonic sensor, the system can capture human movement and position changes in real time, locate coordinates, and improve the positioning accuracy and precision.

[0026] The edge computing main control unit integrates multi-source sensor data and performs trajectory prediction and light field modeling, achieving real-time data processing and decision-making, reducing communication latency and the data processing burden.

[0027] Through the PWM adjustable constant current drive circuit and the adjustable color temperature LED array, the system can precisely control the brightness and color temperature of the LED lamp beads, achieve dynamic spot following, and provide a more comfortable and personalized color experience.

[0028] Through the energy consumption adaptive model and dynamic adjustment of standby power consumption, the system can adjust the standby power consumption according to actual needs, reduce energy consumption, and achieve an energy-saving effect.

[0029] In summary, compared with the prior art, the proposed integrated interactive induction control method has obvious advantages in aspects such as human body dynamic recognition, edge intelligent computing, adaptive light field regulation, high energy efficiency, and anti-interference design, and can provide a more comfortable, intelligent, and energy-saving experience. Description of the Drawings

[0030] Figure 1 It is a connection diagram of each module of the present invention. Detailed Embodiment

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] The following is a further detailed description in conjunction with Figure 1 This application will be further described in detail.

[0033] An embodiment of the present application discloses an interactive induction integrated control method, which includes a circuit board. The circuit board is integrally integrated with a capacitive induction, a multi-dimensional pyroelectric sensing array, an edge computing main control unit, an adaptive light control module, an environmental perception subsystem, a communication and networking module, a lamp bead module, a power management module, a signal conditioning module, a clock synchronization module, and a debugging interface module; integrating and transmitting the lighting control signal and the induction signal, and backfilling the induction signal while receiving the lighting control signal;

[0034] Among them, the multi-dimensional pyroelectric sensing array uses an 8×8 matrix infrared detector and is integrated with a Fresnel lens group thereon; the edge computing main control unit uses an ARM Cortex-M7 processor and is integrated with an OpenMV machine vision framework; the driving circuit of the adaptive light control module uses a PWM adjustable constant current driving circuit; the environmental perception subsystem is a multi-modal perception network composed of an integrated light intensity sensor, a millimeter wave radar, and an ultrasonic sensor; the communication and networking module uses Zigbee 3.0 wireless communication and supports TDMA time division multiple access, and the lamp bead module is several LED lamp beads evenly distributed on the circuit board; the clock synchronization module is used to ensure the time domain alignment of multi-sensor data; the signal conditioning module is used to amplify and filter the sensor signal; the power management module is used to complete AC / DC conversion and multi-way voltage distribution.

[0035] The multi-dimensional pyroelectric sensing array and the light intensity sensor are connected to the edge computing main control unit through the I²C / SPI bus. The millimeter wave radar and the ultrasonic sensor transmit real-time data to the edge computing main control unit through a high-speed ADC. The edge computing main control unit fuses multi-source data, performs trajectory prediction and light field modeling, and outputs a PWM dimming instruction to the adaptive light control module. The adaptive light control module receives the PWM signal and drives the lamp bead module to achieve brightness / color temperature adjustment. Each node of the communication and networking module is interconnected through the Zigbee 3.0 protocol. The edge computing main control unit acts as a coordinator to synchronize control instructions.

[0036] The power management module provides stable power supply for all modules. The pyroelectric sensing array and the environmental perception subsystem collect data such as human movement and ambient light in real time. The original signal is filtered and amplified by the signal conditioning module and then transmitted to the edge computing main control unit; the edge computing main control unit aligns the timings of each sensor through the clock synchronization module, fuses multi-source data and runs trajectory prediction and light field calculation algorithms, generates a PWM dimming instruction and color temperature parameters, and sends them to the adaptive light control module to drive the lamp bead module to turn on and off and fade; the communication and networking module is responsible for data transmission and collaborative control between nodes, and the debugging interface module provides functions such as program burning, parameter calibration, and fault diagnosis, forming a full closed-loop intelligent control link from perception to decision-making to execution and then to feedback.

[0037] By monitoring human movement and position changes in real time, the system can automatically adjust the lighting brightness and sensing distance, providing a more comfortable and personalized lighting experience. The system can adjust the lighting brightness and range according to actual needs, reducing unnecessary energy consumption and waste. The edge computing master control unit can fuse data from multi-source sensors and perform real-time processing, such as trajectory prediction and light field modeling, to quickly respond to environmental changes.

[0038] Using a PWM adjustable constant current drive circuit, the brightness and color temperature of the LED lamp beads can be precisely controlled. High-precision sensors such as millimeter-wave radar and ultrasonic sensors provide accurate distance and speed data. The power management module provides a stable power supply to ensure the stable operation of the system and prevent performance problems caused by power fluctuations. The signal conditioning module improves the signal-to-noise ratio of the signal, reduces noise interference, and ensures the accuracy of the data. The clock synchronization module ensures the time-domain alignment of multi-sensor data, guaranteeing the accuracy and consistency of data processing. The debugging interface module provides convenient means for development and maintenance, which can accelerate the development process and reduce the maintenance cost. A full closed-loop intelligent control link from perception to decision-making, then to execution and finally to feedback is formed, improving the automation level and intelligent decision-making ability of the system.

[0039] In summary, this interactive induction integrated control method, through integration and intelligent technologies, not only improves the user experience and energy efficiency, but also enhances the stability and intelligent control ability of the lighting system.

[0040] The multi-dimensional pyroelectric sensing array achieves a horizontal scanning coverage of ±85°, with a detection distance of 0.1 - 8 meters.

[0041] The PWM adjustable constant current drive circuit supports continuous adjustment of 0 - 255 levels of gray scale, and the brightness dynamic range reaches 0.1 - 3000 lux.

[0042] The core device of the light intensity sensor uses a photodiode or an integrated digital light sensor, with a measurement range of 0 - 100,000 lux (lux), covering the full environmental light intensity from complete darkness (0 lux) to direct sunlight at noon (about 100,000 lux).

[0043] The millimeter-wave radar operates in the 24 GHz frequency band, with a wavelength of about 12.5 mm, a detection distance of 0.5 - 15 meters, a speed resolution of 0.1 m / s, and an angular accuracy of ±3°.

[0044] The ultrasonic sensor operates at a frequency of 40 kHz ultrasonic waves, with a wavelength of about 8.5 mm in air, a detection distance of 0.02 - 5 meters, and an accuracy of ±1 cm;

[0045] The core principle of this control method is to capture real-time environmental dynamic information through a multi-modal perception network, perform data fusion and decision-making by combining edge intelligent computing, and finally achieve precise positioning and adjust lighting parameters through adaptive light field regulation. Its technical architecture is based on a "perception - decision - execution - feedback" closed-loop system, and the specific principle is as follows:

[0046] 1. Multi-source heterogeneous data fusion perception

[0047] Human body dynamic recognition:

[0048] A dual-mode positioning system is composed of an 8×8 pyroelectric sensor array (±85° wide-angle scanning) and a 24GHz millimeter-wave radar (speed resolution 0.1m / s).

[0049] The pyroelectric array realizes the detection of human body infrared radiation from 0.1 to 8 meters through a Fresnel lens group, and the millimeter-wave radar analyzes the target motion vector (speed / direction) through the Doppler effect.

[0050] Combined with the ranging data of a 40kHz ultrasonic sensor (±1cm accuracy), a three-dimensional space coordinate (X, Y, Z) is constructed.

[0051] Environmental state perception:

[0052] A light intensity sensor (0 - 100klux range) monitors the environmental illuminance in real time as the brightness compensation reference.

[0053] The millimeter-wave radar simultaneously detects the obstacle distribution to prevent the light spot from colliding with objects.

[0054] 2. Edge intelligent decision-making algorithm

[0055] Trajectory prediction: The Kalman filter algorithm is used to predict the trajectory of moving targets (prediction step 50ms), and combined with the LSTM neural network to learn historical motion patterns, generating a path probability map for the next 3 seconds.

[0056] Light field modeling: Based on the space topology protocol (TDMA time slot allocation), a dynamic light field regulation model is established: ;

[0057] Where: 𝐿(𝑥,𝑦,𝑡) is the required illuminance at the target point (x, y) at time t; 𝑃 𝑖 is the output luminous flux of the i-th lamp; d 𝑖 is the distance from the lamp to the target; 𝛼 is the attenuation coefficient (determined by the movement speed);

[0058] Anti-interference processing: Use the SVM classifier to perform binary classification on the heat source characteristics (radiation intensity, movement pattern) to distinguish between the human body (>98% recognition rate) and interference sources (such as heaters, electrical appliances).

[0059] 3. Closed-loop Control of Dynamic Light Field

[0060] The dynamic adjustment of light parameters is achieved through PWM adjustable constant current drive (frequency 1kHz - 10kHz):

[0061] Brightness adjustment: The duty cycle of 0 - 100% corresponds to 0.1 - 3000 lux;

[0062] Color temperature adjustment: Dual-channel LED mixing (cool white / warm white), with continuously adjustable color temperature (2700K - 5700K)

[0063] Spot following: Through the coordinated control of the lamp group, a dynamic spot with a diameter of 0.5 - 3m is formed (ripple gradient effect, transition time < 200ms);

[0064] The control process is as follows:

[0065] Step 1: Target Detection and Data Acquisition

[0066] Millimeter-wave radar trigger:

[0067] When the target enters the 15-meter detection range, the radar outputs the motion vector (speed, direction angle ±3°);

[0068] The trigger system switches from the standby mode (0.5W) to the working mode;

[0069] Multi-sensor collaborative positioning:

[0070] The pyroelectric array locates the target heat source coordinates (accuracy ±5cm);

[0071] The ultrasonic sensor measures the absolute distance (0.02 - 5 meters);

[0072] The light intensity sensor obtains the ambient illumination reference value;

[0073] Data preprocessing:

[0074] The signal conditioning module amplifies the original signal (gain x100), filters it (cutoff frequency 10Hz), and the gain x100 needs to be adjusted according to the actual sensor output to ensure that the signal will not be overloaded;

[0075] The clock synchronization module aligns the timestamps of each sensor (error < 1ms);

[0076] Step 2: Edge Computing and Decision Making

[0077] Target recognition and classification:

[0078] Extract the pyroelectric signal features (radiation intensity, fluctuation frequency);

[0079] The SVM classifier determines whether it is a human body (confidence > 98%);

[0080] Immediately return to the standby state when mis-triggered;

[0081] Trajectory prediction and light field modeling:

[0082] The Kalman filter predicts the target position in the next 50 ms;

[0083] The LSTM model outputs the path probability distribution map;

[0084] Calculate the optimal lighting area according to the ISO9283 standard;

[0085] Dynamic parameter calculation:

[0086] Illuminance requirement: 100 - 300 lux in the active area, ≤ 30 lux in the non-active area;

[0087] Spot diameter:

[0088] 𝐷 = 2𝑣 + 0.5 (v is the target speed, unit: m / s);

[0089] Color temperature compensation: Dynamically match according to the ambient light color temperature (color difference Δuv < 0.005);

[0090] Step 3: Light field regulation and execution

[0091] PWM dimming instruction generation:

[0092] The main control unit sends 16-bit PWM parameters (0 - 65535 levels) through the SPI bus;

[0093] The response time of the constant current drive circuit < 10 μs;

[0094] The lamp group receives instructions using the TDMA protocol (synchronization error < 50 ms);

[0095] Dynamic spot following:

[0096] Adjacent lamps relay lighting in the "gradually brighten - maintain - gradually dim" mode;

[0097] The spot moving speed matches the target movement (acceleration compensation coefficient 0.8 - 1.2);

[0098] Energy efficiency optimization control:

[0099] Standby power consumption is dynamically adjusted (0.5 W - 3 W);

[0100] Moonlight mode: Starts 30 - 600 seconds after the target leaves (illuminance ≤ 5 lux);

[0101] Step 4: Feedback calibration and learning

[0102] Closed-loop feedback mechanism:

[0103] Compare the actual illuminance with the target value in real time (error < 5%);

[0104] Adjust the PWM duty cycle through the PID controller:

[0105] ;

[0106] where e(t) is the illuminance deviation, K p = 0.8, K i = 0.2, K d = 0.1;

[0107] Habituation learning update:

[0108] The LSTM network updates the energy consumption pattern parameters every 24 hours;

[0109] Store the lighting schemes for typical scenarios (such as the morning and evening peak modes in the garage);

[0110] The three-stage response mechanism is as follows:

[0111] The first stage (< 80ms): The millimeter-wave radar responds quickly;

[0112] The second stage (200ms): The pyroelectric array locates precisely;

[0113] The third stage (500ms): The light spot dynamically follows and forms;

[0114] The five-level energy efficiency mode is shown in Table 1;

[0115] Table 1 Five-level energy efficiency mode table

[0116] Mode Power consumption Trigger condition Deep standby 0.5W No target for more than 10 minutes Moonlight mode 1.2W Target leaves for 30 - 600 seconds Basic lighting 15W Ambient light < 30 lux and no target Dynamic following 20-50W Detect effective target movement Dynamic following 80W Sudden dangerous event (such as falling)

[0117] Through the integration of the hardware layer and the intelligent algorithm fusion of the software layer, this control system realizes the ultimate experience of "lights on when people are present, lights dim slowly when people leave, and movement follows the light", while meeting the core requirements of high precision (positioning ±5 cm), low latency (response < 80ms), and high energy efficiency (energy saving 62% - 78%).

[0118] This interactive induction integrated control method realizes the prediction of the movement trajectory through the Kalman filtering algorithm. The lamp group automatically generates a following light spot (the diameter can be adjusted from 0.5 m to 3 m). Based on the LSTM neural network, an energy consumption habit prediction model is established to dynamically adjust the standby power consumption (0.5W - 3W). It adopts TDMA time division multiple access communication, supports 256-node cascaded control, the synchronous response time < 50ms, and applies a support vector machine (SVM) classifier to effectively distinguish the human body (recognition rate > 98%) from the interference heat source (< 2% false triggering).

[0119] The invention is particularly applicable to scenarios that require intelligent following lighting, such as underground garages, warehousing and logistics centers, museums, etc. It has been verified by a third-party testing agency, and the energy-saving rate exceeds the national first-level energy efficiency standard by 42%.

[0120] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An interactive sensing integrated control method, including a circuit board, characterized in that: The circuit board is integrated with a multi-dimensional pyroelectric sensor array, edge computing main control unit, adaptive light control module, environmental perception subsystem, communication and networking module, and lamp bead module. Among them, the multi-dimensional pyroelectric sensor array adopts an 8×8 matrix infrared detector and integrates a Fresnel lens group on it; the edge computing main control unit adopts an ARMCortex-M7 processor and integrates the OpenMV machine vision framework; the driving circuit of the adaptive light control module adopts a PWM adjustable constant current driving circuit; the environmental perception subsystem is a multimodal perception network composed of an integrated light intensity sensor, millimeter wave radar and ultrasonic sensor; the communication and networking module adopts Zigbee 3.0 wireless communication and supports TDMA time division multiple access, and the lamp bead module is a number of LED lamp beads evenly distributed on the circuit board and adopts an adjustable color temperature LED array; The multi-dimensional pyroelectric sensor array and light intensity sensor are connected to the edge computing main control unit through the I²C / SPI bus. The millimeter wave radar and ultrasonic sensor transmit real-time data to the edge computing main control unit through the high-speed ADC. The edge computing main control unit integrates multi-source data, performs trajectory prediction and light field modeling, and outputs PWM dimming instructions to the adaptive light control module. The adaptive light control module receives the PWM signal and drives the lamp bead module to achieve brightness / color temperature adjustment. The nodes of the communication and networking modules are interconnected through the Zigbee3.0 protocol. The edge computing main control unit acts as a coordinator to synchronize control instructions.

2. The interactive sensing integrated control method according to claim 1, characterized in that: The circuit board also integrates a power management module, a signal conditioning module, a clock synchronization module and a debugging interface module, which transmits the lighting control signal and the sensing signal together, and receives the lighting control signal while filling in the sensing signal; The clock synchronization module is used to ensure the time domain alignment of multi-sensor data; The signal conditioning module is used to amplify and filter the sensor signal; The power management module is used to complete AC / DC conversion and multi-channel voltage distribution.

3. The interactive sensing integrated control method according to claim 2, characterized in that: The power management module provides stable power supply for all modules. The pyroelectric sensor array and environmental perception subsystem collect data such as human movement and ambient light in real time. The original signal is filtered and amplified by the signal conditioning module and then transmitted to the edge computing main control unit. The edge computing main control unit aligns the timing of each sensor through the clock synchronization module, integrates multi-source data and runs trajectory prediction and light field calculation algorithms to generate PWM dimming instructions and color temperature parameters, which are sent to the adaptive light control module to drive the lamp module to turn on and off and gradually change. The communication and networking module is responsible for data transmission and coordinated control between nodes. The debugging interface module provides program burning, parameter calibration and fault diagnosis functions, forming a fully closed-loop intelligent control link from perception to decision-making to execution and then to feedback.

4. The interactive sensing integrated control method according to claim 1, characterized in that: The multi-dimensional pyroelectric sensor array achieves ±85° horizontal scanning coverage and a detection distance of 0.1-8 meters.

5. The interactive sensing integrated control method according to claim 1, characterized in that: The PWM adjustable constant current drive circuit supports 0-255 grayscale continuous adjustment, and the brightness dynamic range is 0.1-3000 lux.

6. The interactive sensing integrated control method according to claim 1, characterized in that: The core device of the light intensity sensor uses a photodiode or an integrated digital light sensor with a measurement range of 0-100,000 lux, covering the full range of ambient light intensities from complete darkness to direct sunlight at noon.

7. The interactive sensing integrated control method according to claim 1, characterized in that: The operating frequency of millimeter wave radar is 24GHz band, the wavelength is 12.5mm, the detection distance is 0.5-15 meters, the speed resolution is 0.1m / s, and the angle accuracy is ±3°.

8. The interactive sensing integrated control method according to claim 1, characterized in that: The operating frequency of the ultrasonic sensor is 40kHz ultrasonic wave, the wavelength in the air is 8.5mm, the detection distance is 0.02-5 meters, and the accuracy is ±1cm.

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