Non-contact shadowless lamp self-adjustment control method and system based on infrared induction

Abstract

The invention provides a non-contact shadowless lamp self-adjustment control method and system based on infrared induction, and relates to the technical field of shadowless lamp control, and the method comprises the steps: arranging a reflective infrared photoelectric switch to a predetermined entrance and exit position of a target space, and carrying out the dynamic monitoring to obtain a first monitoring result; if the first preset constraint is met, activating a pyroelectric human body infrared sensor to track and monitor the first moving target to obtain a first tracking result; if the second preset constraint is met, performing statistics to obtain a first target total number; taking the first target total number as a lighting judgment basis to obtain a self-adjusting control instruction, and calling a non-contact control mechanism; and performing self-adjustment control on the target shadowless lamp. The technical problems that in the prior art, a shadowless lamp usually depends on a manually set static mode, dynamic adjustment is difficult to achieve according to changes in an actual scene, the flexibility and adaptability of illumination are affected, and then the illumination effect is not ideal are solved.

Description

Technical Field

[0001] This invention relates to the field of shadowless lamp control technology, specifically to a contactless shadowless lamp self-adjustment control method and system based on infrared sensing. Background Technology

[0002] Currently, surgical operating rooms, treatment rooms, and other high-precision procedures commonly use shadowless lamps to ensure uniform lighting and no shadows during surgery or treatment. However, traditional shadowless lamps often rely on manual operation to adjust the light source switch or brightness, which presents significant technical bottlenecks for situations requiring precise light source control. Current shadowless lamp control systems often lack intelligent self-adjustment mechanisms, typically failing to adjust lighting in real-time based on changes in the actual scene. This results in inflexible and inaccurate lighting effects, which can directly impact surgical outcomes or treatment quality, especially in precision medical procedures. Summary of the Invention

[0003] This application provides a contactless self-adjusting control method and system for shadowless lamps based on infrared sensing, aiming to solve the technical problem that shadowless lamps in the prior art usually rely on manually set static modes, which are difficult to dynamically adjust according to changes in the actual scene, affecting the flexibility and adaptability of lighting, and thus leading to unsatisfactory lighting effects.

[0004] The first aspect disclosed in this application provides a contactless shadowless lamp self-adjustment control method based on infrared sensing. The method includes: deploying a reflective infrared photoelectric switch at a predetermined entrance / exit position in a target space, and obtaining a first monitoring result through dynamic monitoring by the reflective infrared photoelectric switch; if the first monitoring result meets a first predetermined constraint, activating a pyroelectric human infrared sensor to track and monitor a first moving target in the first monitoring result, and obtaining a first tracking result; if the first tracking result meets a second predetermined constraint, counting the first moving targets to obtain a first target total number; obtaining a self-adjustment control command based on the first target total number as the lighting discrimination criterion, and invoking a contactless control mechanism based on the self-adjustment control command; and performing self-adjustment control on the target shadowless lamp in the target space according to the contactless control mechanism.

[0005] The second aspect of this application discloses a contactless shadowless lamp self-adjustment control system based on infrared sensing. The system is used in the aforementioned contactless shadowless lamp self-adjustment control method based on infrared sensing. The system includes: a dynamic monitoring module, used to deploy a reflective infrared photoelectric switch at a predetermined entrance / exit position in the target space and obtain a first monitoring result through dynamic monitoring via the reflective infrared photoelectric switch; a tracking monitoring module, used to activate a pyroelectric human infrared sensor to track and monitor a first moving target in the first monitoring result if the first monitoring result meets a first predetermined constraint, obtaining a first tracking result; a statistics module, used to count the first moving targets to obtain a first total number of targets if the first tracking result meets a second predetermined constraint; a control mechanism retrieval module, used to obtain a self-adjustment control command based on the first total number of targets as the illumination discrimination criterion, and retrieve a contactless control mechanism based on the self-adjustment control command; and a self-adjustment control module, used to perform self-adjustment control on the target shadowless lamp in the target space according to the contactless control mechanism.

[0006] One or more technical solutions provided in this application have at least the following beneficial effects: By deploying reflective infrared photoelectric switches at predetermined entrances and exits of the target space, real-time monitoring of entry and exit can be achieved. This method eliminates the need for physical contact, dynamically sensing whether a target is entering or exiting the target space, providing a precise monitoring basis for subsequent operations. When the first monitoring result indicates that a target has entered or exited, a pyroelectric human infrared sensor is activated for further target tracking. The pyroelectric human infrared sensor can efficiently and accurately sense the thermal radiation of a human body, thereby determining whether it is a human target, ensuring that only human targets are counted, and improving the accuracy of the system. After the infrared sensor confirms that the target is a human, the targets are counted to obtain the first total number of targets. By dynamically counting the number of people entering and exiting the space, the system can be further refined. The system accurately assesses lighting needs and enables lighting adjustments based on the number of people, ensuring that lighting matches actual requirements. Using the statistically determined total number of people as the basis for lighting judgment, a self-adjusting control command is generated. This command adjusts the lighting status in real time to ensure that the lighting in the space matches the number of people, avoiding unnecessary energy consumption. The contactless control mechanism automatically adjusts parameters such as brightness and color temperature of the lights based on the real-time self-adjusting control command. This mechanism avoids the traditional manual adjustment mode, ensuring more intelligent, precise, and seamless lighting adjustment. Self-adjusting control not only enhances the intelligence level of the lighting system but also allows for real-time adjustments based on environmental changes, further improving energy efficiency and user experience.

[0007] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0008] Figure 1 This is a schematic flowchart of a contactless shadowless lamp self-adjustment control method based on infrared sensing provided in an embodiment of this application.

[0009] Figure 2 This is a schematic diagram of the structure of a contactless shadowless lamp self-adjusting control system based on infrared sensing provided in an embodiment of this application.

[0010] Explanation of reference numerals in the attached diagram: Dynamic monitoring module 10, Tracking monitoring module 20, Statistics module 30, Control mechanism retrieval module 40, Self-adjusting control module 50. Detailed Implementation

[0011] This application provides a contactless shadowless lamp self-adjustment control method and system based on infrared sensing, which solves the technical problem that shadowless lamps in the prior art usually rely on manually set static modes, which are difficult to dynamically adjust according to changes in the actual scene, affecting the flexibility and adaptability of lighting, and thus leading to unsatisfactory lighting effects.

[0012] After introducing the basic principles of this application, various non-limiting embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0013] Example 1, as Figure 1 As shown, this application provides a contactless shadowless lamp self-adjustment control method based on infrared sensing, the method comprising: A reflective infrared photoelectric switch is deployed at a predetermined entrance / exit position in the target space, and a first monitoring result is obtained through dynamic monitoring using the reflective infrared photoelectric switch.

[0014] The function of a reflective infrared photoelectric switch is to detect whether a target is passing by by reflecting an infrared beam. If a target enters or leaves the beam range, the infrared light is reflected or blocked, thereby triggering the switch. The reflective infrared photoelectric switch is deployed at the predetermined entrance and exit positions of the target space and configured for real-time dynamic monitoring. This real-time monitoring method does not rely on direct contact, but judges the passing of the target by the reflection changes of the reflective sensor. During the monitoring process, the first monitoring result is recorded in real time.

[0015] If the first monitoring result meets the first predetermined constraint, the pyroelectric human infrared sensor is activated to track and monitor the first moving target in the first monitoring result, and a first tracking result is obtained.

[0016] When the first monitoring result meets the first predetermined constraint, it indicates that a target has entered or exited. At this time, the pyroelectric human infrared sensor is activated. The pyroelectric human infrared sensor is used to detect the infrared radiation of the human body. Because the human body has a certain temperature and emits thermal radiation, the pyroelectric sensor begins to further track and monitor the target in the first monitoring result. If the sensor detects an infrared signal, it indicates that the target may be a human body. The sensor continuously tracks the position change of the target and obtains the first tracking result.

[0017] If the first tracking result meets the second predetermined constraint, then the first moving target is statistically analyzed to obtain the first total number of targets.

[0018] The system determines whether a target is a valid human based on the output signal of the pyroelectric infrared human body sensor. If the sensor outputs a high-level signal, confirming the target is a human, it is considered a valid human target; otherwise, the target is ignored. If a valid human target is detected, the system begins to count the number of valid human bodies entering and leaving the target space. This count is used as the initial target total for subsequent lighting adjustments and control.

[0019] The self-adjustment control command is obtained based on the total number of the first target as the lighting discrimination criterion, and the contactless control mechanism is invoked based on the self-adjustment control command.

[0020] The lighting system uses the total number of targets as the criterion for illumination detection. If the total number of targets is greater than zero, meaning at least one person is in the target space, a lighting on command is generated and output to the drive circuit. Upon receiving the command, the drive circuit turns on the shadowless lamp to ensure sufficient light in the space. If the total number of targets is zero, meaning no person is in the space, the target space is empty. A lighting off command is generated and output to the drive circuit, which then turns off the shadowless lamp to save energy. The generated lighting on or off command serves as a self-adjusting control command. Based on this command, a contactless control mechanism is invoked. This mechanism allows for the adjustment of the lighting system without physical contact or manual operation. Subsequent adjustments (such as adjusting light intensity or switching the lamp on and off) are executed using this contactless control mechanism.

[0021] The target shadowless lamp in the target space is self-adjusted and controlled according to the contactless control mechanism.

[0022] Shadowless lamps typically have multiple adjustment methods. They can control the brightness of the light through PWM (Pulse Width Modulation) or adjust the output luminous flux through other control circuits. Based on the lighting on or off command, the control circuit adjusts the shadowless lamp through a contactless control mechanism. The entire process achieves automated lighting adjustment. Utilizing information such as infrared sensing and target statistics, it can dynamically adjust the switching and brightness of the light according to the actual situation without human intervention. This self-adjusting control method can ensure the effectiveness of lighting while achieving energy saving.

[0023] Furthermore, the reflective infrared photoelectric switch includes a first switch and a second switch, wherein the first switch and the second switch are arranged side by side at the predetermined entrance / exit position, and both the first switch and the second switch are perpendicular to the ground.

[0024] The reflective infrared photoelectric switch includes a first switch and a second switch, which are placed side-by-side at a predetermined entrance / exit location in the target space. For example, the first switch is close to the entrance / exit, while the second switch is placed side-by-side with the first switch but away from the entrance / exit. Because the switches are arranged side-by-side at the entrance / exit of the target space, the order in which the target enters or leaves will result in different triggering sequences. This arrangement helps to cover the entire entrance / exit area, ensuring that the entry and exit of targets can be effectively detected. The positions of these two switches are perpendicular to the ground, meaning that the emission and reception directions of the infrared beam are perpendicular to the ground. This arrangement is designed to maximize the infrared coverage while ensuring that targets at different heights can be accurately detected. In this way, it is ensured that when a target passes through, it will block the infrared light, thereby triggering the switch.

[0025] Furthermore, after calculating the total number of the first moving targets, the method further includes: Record the first trigger time of the first switch; record the second trigger time of the second switch; calculate the time difference between the first trigger time and the second trigger time; determine the first moving direction of the first moving target based on the time difference, and use the first moving direction as a verification reference for the total number of the first targets.

[0026] When the first moving target passes through the reflective infrared photoelectric switch, if a human body enters or leaves the sensing area of ​​the switch, the infrared beam will be blocked or reflected, thereby triggering the switch. The first switch triggering means that the first moving target may be entering or leaving the target space. The first triggering time refers to the specific moment when the first moving target triggers the first switch.

[0027] Similar to the first switch, the second switch is also triggered when the target passes through. The second trigger time refers to the specific moment when the target triggers the second switch.

[0028] Calculate the time difference between the first trigger time and the second trigger time. This time difference can provide further clues about the speed and direction of the first moving target. In particular, when combined with the judgment of the direction of movement, the time difference can be used to verify the target's behavior and statistics.

[0029] By comparing the triggering order of the first switch and the second switch, the first moving direction of the first moving target can be inferred. When the first switch is triggered before the second switch, it means that the target enters the target space from the position of the first switch (entrance / exit direction), so it can be inferred that the target's moving direction is the entering direction; otherwise, it is the leaving direction.

[0030] Based on the determined first direction of movement, after confirming whether the first moving target is entering or leaving, further judgments are made based on this information. For example, if the first moving target is "entering," it is determined that the first moving target has entered the space and is counted as part of the total number of first targets; if the first moving target is "leaving," it is subtracted from the total number of first targets. The total number of first targets reflects the current number of valid people in the space, providing reliable data support for subsequent lighting control.

[0031] Furthermore, the self-adjusting control of the target shadowless lamp in the target space according to the aforementioned contactless control mechanism includes: The target space is sensed by a voltage divider circuit to obtain real-time environmental information; a pulse width modulation signal is obtained by combining the total number of the first targets with the real-time light intensity in the real-time environmental information; the conduction angle of the bidirectional thyristor is controlled according to the pulse width modulation signal to obtain a real-time drive current; and the target shadowless lamp is self-adjusted based on the real-time drive current according to the contactless control mechanism.

[0032] The function of the voltage divider circuit is to measure the ambient light intensity of the target space. Changes in ambient light (such as changes in light intensity during the day and night) directly affect the adjustment requirements of the lighting. The voltage divider circuit adjusts the output voltage by measuring the light intensity. Specifically, the light intensity affects the resistance of the photosensitive element in the circuit, thereby affecting the voltage. By sensing the light intensity of the target space and obtaining real-time environmental information through the voltage divider circuit, a key input is provided for subsequent shadowless lamp control.

[0033] The pulse width modulation (PWM) signal is generated based on two factors: the total number of targets and the real-time light intensity. The combination of these two factors means the system can adjust the brightness of the lights according to the actual usage in the space (i.e., the number of people and lighting conditions): if there are many targets, the lights need to be brighter to meet lighting needs; if the real-time ambient light intensity is high, the light brightness is reduced to save energy. PWM signals control the transmission of electrical energy by adjusting the duty cycle (i.e., the ratio of switching time to the cycle), thereby regulating the power output of the load (in this case, the brightness of the lights). In this process, the total number of targets and the real-time light intensity determine the duty cycle of the PWM signal.

[0034] A bidirectional thyristor can precisely control the conduction angle of the current, that is, determine the conduction time of the current within one cycle. By changing the conduction angle, the effective value of the current can be adjusted, thereby controlling the brightness of the shadowless lamp. The conduction angle of the bidirectional thyristor is controlled according to the pulse width modulation signal. By adjusting the conduction angle, the time for current to flow into the shadowless lamp can be extended or shortened, thus controlling the light intensity. For example, under a high duty cycle, a larger conduction angle results in a longer current flow time and higher light brightness; under a low duty cycle, a smaller conduction angle results in a shorter current flow time and lower light brightness. The adjustment of the conduction angle directly determines the real-time drive current received by the shadowless lamp. By precisely controlling the current, it can be ensured that the light brightness adapts to changes in the environment, meeting the lighting needs of the target space while avoiding unnecessary energy waste.

[0035] The contactless control mechanism refers to using environmental monitoring data and circuit control to adjust the brightness of the lights automatically and dynamically based on the current number of people and ambient light intensity. The operating state of the shadowless lamp is adjusted according to the calculated real-time drive current, which directly determines the brightness: if the target space is poorly lit or has a large number of people, the drive current is increased to enhance brightness; if the lighting conditions are good or there are few people, the drive current is decreased to reduce brightness. Through this process, the shadowless lamp achieves automatic adjustment, dynamically adapting to changes in the space, adjusting the lighting intensity in real time based on changes in ambient light or the number of people.

[0036] Furthermore, the voltage divider circuit is composed of a photoresistor and an adjustable resistor connected in series, wherein the adjustable resistor is used to change the light sensitivity threshold.

[0037] The voltage divider circuit consists of a photoresistor and an adjustable resistor connected in series. The resistance of the photoresistor changes according to the intensity of the received light; the stronger the light, the lower the resistance, and vice versa. The adjustable resistor adjusts the circuit's sensitivity. Specifically, it changes the photoresistor's response threshold. When the ambient light intensity changes, the set value of the adjustable resistor determines the circuit's response to the change in light intensity. By adjusting the value of the adjustable resistor, the system's sensitivity to changes in light intensity can be altered. This sensitivity adjustment allows the system to adapt to different lighting environments. For example, in environments with significant light intensity variations, increasing or decreasing the value of the adjustable resistor allows the system to detect light changes even with minor variations. In environments with relatively stable lighting conditions, reducing sensitivity minimizes unnecessary responses.

[0038] Furthermore, the output terminal of the voltage divider circuit is connected to a voltage follower, which is formed by an impedance matching network and a power drive circuit. The power drive circuit is a push-pull output circuit that uses the voltage divider circuit to perform environmental sensing on the target space and obtain real-time environmental information. This includes: conditioning the output signal of the voltage divider circuit using the voltage follower to obtain the real-time light intensity; and collecting multi-dimensional feature information of the output signal and using this multi-dimensional feature information as a simulation optimization constraint; using the circuit simulation conditioning effect as a simulation optimization evaluation index, and coordinating the simulation optimization constraint... The system simulates and optimizes a predetermined signal conditioning circuit to determine the optimal circuit. This optimal circuit is then used as the impedance matching network to condition the output signal, and analog-to-digital conversion is performed to obtain the real-time illumination intensity. The multi-dimensional feature information includes at least frequency, bandwidth, intensity, and whether isolation is required. The conditioning effect index, obtained by normalizing and weighting predetermined indicators, characterizes the simulated conditioning effect of the circuit. These predetermined indicators include at least impedance conversion deviation rate and harmonic suppression rate. The predetermined signal conditioning circuit includes at least L-type circuits, π-type circuits, T-type circuits, transformer circuits, and active circuits.

[0039] The output of the voltage divider circuit is connected to a voltage follower, also known as a buffer amplifier. Its main function is to increase the current of the input signal without changing the voltage amplitude. Its output voltage is almost identical to the input voltage, making it suitable for driving high-impedance sources. In this process, the signal output from the voltage divider circuit is usually weak, which may not be able to directly drive subsequent circuits or may cause instability. Therefore, a voltage follower is used to enhance the signal's driving capability, ensuring stable signal transmission to subsequent circuits. The voltage follower is connected to the power drive circuit via an impedance matching network. The impedance matching network matches the output of the voltage follower with the subsequent circuit (power drive circuit), avoiding signal reflection or power loss. Through impedance matching, the signal can be smoothly transmitted to the push-pull output circuit, thus ensuring that the power drive circuit can effectively receive and process the signal. The power drive circuit refers to the push-pull output circuit, which is typically used in high-power applications. It uses transistors or other semiconductor devices to effectively drive the load, such as a shadowless lamp. The main characteristics of the push-pull output circuit are efficient power transmission and the ability to control current and voltage.

[0040] The voltage follower conditions the output signal of the voltage divider circuit, including level conversion and buffering, to ensure that the signal, after passing through the impedance matching network, can be stably transmitted to the power drive circuit, giving it a suitable voltage range and current for the control circuit. The conditioned signal characterizes the real-time illumination intensity within the target space and is used as the basis for controlling the brightness of the lights. This includes: The system collects multidimensional feature information of the output signal. This multidimensional feature information includes at least frequency, bandwidth, intensity, and whether isolation is required. Frequency refers to the frequency of signal changes. When the light intensity changes significantly, the frequency feature can reflect the speed of light change. Higher frequencies indicate the presence of rapidly changing light sources in the space, such as flashing lights or the influence of external light sources, while lower frequencies indicate stable light. Bandwidth is the width of the signal spectrum, reflecting the frequency range contained in the signal. If the signal has a wide bandwidth, it indicates that it contains more frequency information, which may be caused by complex changes in the lighting environment. The signal intensity indicates the brightness of the light. Higher intensity indicates strong ambient light, while lower intensity indicates weak ambient light. Whether isolation is required refers to whether the signal is interfered with or whether signal isolation processing is needed. Some environments may have a large amount of electromagnetic interference or noise. It is necessary to determine whether these interferences affect the light signal and take corresponding isolation or filtering measures.

[0041] By utilizing these multidimensional feature information as simulation optimization constraints to optimize the signal conditioning process, when adjusting the light intensity, it is necessary not only to consider the current light intensity value, but also to comprehensively consider other features, so as to adjust the control strategy according to different signal characteristics to achieve the best conditioning effect.

[0042] The circuit simulation conditioning effect refers to the degree of improvement in signal quality after the signal has been conditioned by the circuit. The simulation optimization evaluation index is a standard used to measure the circuit simulation conditioning effect. Based on this simulation optimization evaluation index, the circuit is optimized, the most suitable circuit structure and parameter settings are selected, and the optimal circuit is determined.

[0043] In circuit simulation conditioning, several predetermined indicators need to be considered. These include at least impedance transformation deviation rate and harmonic suppression rate. Impedance transformation deviation reflects the degree of signal impedance change during signal transmission; poor impedance matching may lead to signal attenuation or reflection, affecting signal quality. Harmonic suppression rate measures the circuit's ability to suppress higher-order harmonic signals. Harmonics are additional frequency components in a signal besides the fundamental frequency; excessive harmonics may cause signal distortion and reduce signal quality. Normalized weighted calculation standardizes the values ​​of different predetermined indicators, eliminating dimensional differences, and then assigns weighted values ​​based on their importance, resulting in a comprehensive conditioning effect index. This index directly reflects the overall signal quality after circuit conditioning, such as signal stability, the presence of excessive noise, and whether the signal has been effectively amplified or regulated.

[0044] The predetermined signal conditioning circuit includes at least L-type circuits, π-type circuits, T-type circuits, transformer circuits, and active circuits. Among them, the L-type circuit is used for impedance matching and filtering, suitable for handling simple signal conditioning tasks. It consists of an inductor and a capacitor and is usually used for conditioning low-frequency signals. The π-type circuit is a filter configuration used for conditioning high-frequency signals. It consists of two capacitors and an inductor and can provide strong frequency selectivity. The T-type circuit is similar to the π-type circuit and also consists of a capacitor and an inductor. It is usually used for filtering and harmonic suppression and can effectively reduce high-frequency noise in the signal. The transformer circuit changes the voltage level of the signal and is suitable for scenarios that require isolation or signal voltage conversion. The active circuit contains amplifiers and other active components, which can provide gain or more complex signal processing functions and are suitable for more complex conditioning needs.

[0045] Based on the normalized weighted conditioning effect index, the performance of the above-mentioned predetermined signal conditioning circuit in signal conditioning is simulated and evaluated. The circuit configuration that can provide the best performance is selected. Through a series of experiments and calculations, the conditioning effect of each circuit structure is simulated, and the optimal circuit is finally determined so that the distortion, noise and other problems in the signal processing process are minimized and the signal quality is maximized.

[0046] The optimal circuit obtained through the simulation optimization process is used as the impedance matching network. The main function of the impedance matching network is to match the impedance of the signal source and the load (shadowless lamp), thereby reducing signal reflection and loss, improving signal transmission efficiency, and maximizing the accurate transmission of the light intensity signal while minimizing energy waste. Under the action of the impedance matching network, the output signal is conditioned to ensure that the signal quality (such as reducing noise and distortion) meets the predetermined standards. Then, an analog-to-digital converter (ADC) is used to convert the conditioned analog signal into a digital signal. Through ADC, accurate real-time light intensity can be obtained. The real-time light intensity is the digital signal after conditioning and ADC, representing the current lighting conditions in the target space. The real-time light intensity is the basis for adjusting the brightness of the shadowless lamp, ensuring that the light intensity always meets the requirements.

[0047] Furthermore, obtaining a pulse width modulation signal by coordinating the total number of the first targets with the real-time illumination intensity in the real-time environmental information includes: A predetermined illumination intensity is obtained and compared with the real-time illumination intensity to obtain the real-time deviation amplitude; the signal duty cycle is obtained using the real-time deviation amplitude as a coefficient; a deviation amplitude time series is generated based on the real-time deviation amplitude, and the deviation amplitude time series is accumulated to obtain the total deviation amplitude; an illumination intensity time series is generated based on the real-time illumination intensity, and the illumination intensity time series is predicted and analyzed to obtain the predicted illumination intensity; the pulse width modulation signal is determined according to the first total number of targets, combined with the signal duty cycle, the total deviation amplitude, and the predicted illumination intensity.

[0048] A predetermined light intensity is set, which is usually determined based on user needs or environmental requirements. For example, in certain environments, such as operating rooms, there are specific light intensity requirements. The predetermined light intensity is compared with the real-time light intensity to obtain the real-time deviation range. The real-time deviation range is used to determine whether the brightness of the light source needs to be adjusted.

[0049] Duty cycle refers to the ratio of the high-level portion of a signal to the total duration of the cycle. In brightness control, the duty cycle determines the proportion of time the light source is illuminated in each cycle, thus controlling the average brightness of the output light. A higher duty cycle means a longer illumination time and higher light intensity; a lower duty cycle means a shorter illumination time and lower light intensity. The real-time deviation amplitude is used as a coefficient to adjust the signal duty cycle. For example, if the real-time light intensity is lower than a predetermined value, the signal duty cycle is increased, the illumination time of the light source is longer, and the light intensity is increased; if the real-time light intensity is higher than the predetermined value, the signal duty cycle is decreased, the illumination time of the light source is shorter, and the light intensity is decreased.

[0050] Deviation amplitude time series is a time series data that arranges the real-time deviation amplitude at each moment in chronological order. This time series data indicates the trend of deviation change. The deviation amplitude time series is accumulated to obtain the total deviation amplitude. The total deviation amplitude represents the comprehensive difference between the light intensity and the expected value over a period of time. By accumulating, the long-term trend of the system deviating from the predetermined light intensity can be identified, and it can help determine whether a major adjustment is needed.

[0051] Real-time light intensity time-series data is collected, and changes in light intensity at different time points are recorded to generate a light intensity time series, which reflects the dynamic changes in ambient light. Predictive analysis of the light intensity time series can predict the trend of light intensity changes over a future period. For example, time series prediction models (such as the ARIMA model) can be used to predict future light intensity values. Based on the predictive analysis results, the predicted light intensity is obtained, that is, the value that the light intensity in the space is expected to reach at a certain time or time period in the future.

[0052] By combining the total number of targets, signal duty cycle, total deviation amplitude, and predicted illumination intensity obtained from the preceding steps, a final pulse width modulation (PWM) signal is generated. This PWM signal controls the on / off current of the shadowless lamp, thereby achieving precise brightness adjustment. Through dynamic adjustment, it can effectively cope with the influence of target quantity, illumination changes, and environmental factors, providing a stable lighting effect.

[0053] Furthermore, the real-time environmental information also includes ambient temperature and heat sink temperature. After the target shadowless lamp is self-adjusted based on the real-time drive current according to the contactless control mechanism, the system further includes: The driving current, the heat sink temperature, and the ambient temperature are normalized and weighted to obtain a predicted value of luminous flux attenuation. When the predicted value of luminous flux attenuation exceeds a predetermined limit, an incremental compensation current is output to the pulse width modulation signal.

[0054] Real-time environmental information also includes ambient temperature and heat sink temperature. Ambient temperature refers to the temperature within the target space, which directly affects the heat dissipation and operating efficiency of the shadowless lamp and its electronic components. Excessively high ambient temperature may lead to a decrease in the efficiency of the shadowless lamp system and may even affect its lifespan. Heat sink temperature refers to the temperature of the heat sink inside the shadowless lamp. The heat sink is an important component of the shadowless lamp's heat dissipation system, used to conduct the heat generated by the light source to the air through heat dissipation materials to reduce the temperature. The heat sink temperature reflects the system's thermal management capability. If the temperature is too high, it means that the heat dissipation is insufficient, leading to unstable operation of the shadowless lamp.

[0055] The drive current, heat sink temperature, and ambient temperature are normalized to convert variables of different dimensions into a unified standard value range, typically 0 to 1, for comprehensive calculation. Each environmental factor has a different impact on luminous flux attenuation. By assigning a weighting coefficient to each factor, their influence can be combined. For example, temperature has a greater impact on luminous flux attenuation than drive current, so temperature is assigned a higher weight. Finally, a predicted luminous flux attenuation value is calculated, representing the degree to which the luminous flux (brightness) of the shadowless lamp may attenuate under current environmental conditions.

[0056] Set a predetermined limit to determine whether the luminous flux attenuation is too large. If the predicted luminous flux attenuation exceeds this predetermined limit, it means that the lighting intensity may drop to an unexpected level, affecting user experience or task execution. For example, the predetermined limit is set as follows: if the predicted luminous flux attenuation is greater than 0.2, it indicates that the attenuation is significant and compensation is required.

[0057] When the predicted luminous flux attenuation exceeds a predetermined limit, an incremental compensation current is output. The magnitude of the incremental compensation current is proportional to the predicted luminous flux attenuation; specifically, the larger the predicted luminous flux attenuation, the larger the incremental compensation current. This incremental compensation current is added to the pulse width modulation (PWM) signal, causing the PWM signal's duty cycle to increase accordingly, thereby enhancing the brightness of the shadowless lamp and ensuring sufficient illumination in the target space. Through this dynamic adjustment mechanism, the shadowless lamp can adapt to environmental changes, ensuring stable and continuous light intensity.

[0058] Furthermore, the total number of the first target and the real-time modulation status of the target shadowless lamp are uploaded to a cloud platform, wherein the cloud platform is communicatively connected to a mobile terminal, and the mobile terminal supports remote monitoring and manual dimming.

[0059] The real-time modulation status of the target shadowless lamps, including light intensity and operating mode, is the current working status of the lamps. The total number of targets and the real-time modulation status of the target shadowless lamps are uploaded to the cloud platform. The cloud platform is responsible for receiving, storing, and processing the real-time data uploaded from the shadowless lamp system. The cloud platform communicates with mobile terminals, such as smartphones, tablets, or dedicated controllers. These mobile terminals support remote monitoring and manual dimming, meaning users can view the real-time status of the target space, including the total number of targets and lighting brightness, and manually adjust the brightness or operating mode of the lamps based on personal needs or immediate environmental conditions. Combined with the cloud platform, the shadowless lamp system can automatically adjust the lighting based on real-time data, while users can also manually intervene to meet personalized needs.

[0060] In summary, the contactless shadowless lamp self-adjustment control method based on infrared sensing provided in this application has the following technical effects: By deploying reflective infrared photoelectric switches at predetermined entrances and exits of the target space, real-time monitoring of entry and exit can be achieved. This method eliminates the need for physical contact, dynamically sensing whether a target is entering or exiting the target space, providing a precise monitoring basis for subsequent operations. When the first monitoring result indicates that a target has entered or exited, a pyroelectric human infrared sensor is activated for further target tracking. The pyroelectric human infrared sensor can efficiently and accurately sense the thermal radiation of a human body, thereby determining whether it is a human target, ensuring that only human targets are counted, and improving the accuracy of the system. After the infrared sensor confirms that the target is a human, the targets are counted to obtain the first total number of targets. By dynamically counting the number of people entering and exiting the space, the system can be further refined. The system accurately assesses lighting needs and enables lighting adjustments based on the number of people, ensuring that lighting matches actual requirements. Using the statistically determined total number of people as the basis for lighting judgment, a self-adjusting control command is generated. This command adjusts the lighting status in real time to ensure that the lighting in the space matches the number of people, avoiding unnecessary energy consumption. The contactless control mechanism automatically adjusts parameters such as brightness and color temperature of the lights based on the real-time self-adjusting control command. This mechanism avoids the traditional manual adjustment mode, ensuring more intelligent, precise, and seamless lighting adjustment. Self-adjusting control not only enhances the intelligence level of the lighting system but also allows for real-time adjustments based on environmental changes, further improving energy efficiency and user experience.

[0061] Example 2 is based on the same inventive concept as the contactless shadowless lamp self-adjustment control method based on infrared sensing in the previous examples, such as... Figure 2 As shown in the figure, this application provides a contactless shadowless lamp self-adjustment control system based on infrared sensing, the system comprising: The dynamic monitoring module 10 is used to deploy a reflective infrared photoelectric switch at a predetermined entrance / exit position in the target space and obtain a first monitoring result through dynamic monitoring by the reflective infrared photoelectric switch; the tracking monitoring module 20 is used to activate a pyroelectric human infrared sensor to track and monitor the first moving target in the first monitoring result if the first monitoring result meets a first predetermined constraint, and obtain a first tracking result; the statistics module 30 is used to count the first moving target to obtain a first target total number if the first tracking result meets a second predetermined constraint; the control mechanism retrieval module 40 is used to obtain a self-adjusting control command based on the first target total number as the lighting discrimination criterion, and retrieve a contactless control mechanism based on the self-adjusting control command; the self-adjusting control module 50 is used to perform self-adjusting control on the target shadowless lamp in the target space according to the contactless control mechanism.

[0062] Furthermore, the reflective infrared photoelectric switch includes a first switch and a second switch, wherein the first switch and the second switch are arranged side by side at the predetermined entrance / exit position, and both the first switch and the second switch are perpendicular to the ground.

[0063] Furthermore, the statistics module 30 is used to perform the following operation steps: Record the first trigger time of the first switch; record the second trigger time of the second switch; calculate the time difference between the first trigger time and the second trigger time; determine the first moving direction of the first moving target based on the time difference, and use the first moving direction as a verification reference for the total number of the first targets.

[0064] Furthermore, the self-adjusting control module 50 is used to perform the following operation steps: The target space is sensed by a voltage divider circuit to obtain real-time environmental information; a pulse width modulation signal is obtained by combining the total number of the first targets with the real-time light intensity in the real-time environmental information; the conduction angle of the bidirectional thyristor is controlled according to the pulse width modulation signal to obtain a real-time drive current; and the target shadowless lamp is self-adjusted based on the real-time drive current according to the contactless control mechanism.

[0065] Furthermore, the voltage divider circuit is composed of a photoresistor and an adjustable resistor connected in series, wherein the adjustable resistor is used to change the light sensitivity threshold.

[0066] Furthermore, the output of the voltage divider circuit is connected to a voltage follower, which is formed by an impedance matching network and a power drive circuit. The power drive circuit is a push-pull output circuit. The self-adjusting control module 50 is used to perform the following operation steps: The output signal of the voltage divider circuit is conditioned by the voltage follower to obtain the real-time illumination intensity; wherein, the process includes: collecting multi-dimensional feature information of the output signal and using the multi-dimensional feature information as simulation optimization constraints; using the circuit simulation conditioning effect as the simulation optimization evaluation index, and coordinating the simulation optimization constraints to perform simulation optimization on a predetermined signal conditioning circuit to determine the optimal circuit; using the optimal circuit as the impedance matching network, and conditioning the output signal to obtain the real-time illumination intensity through analog-to-digital conversion; wherein, the multi-dimensional feature information includes at least frequency, bandwidth, intensity, and whether isolation is required; wherein, the conditioning effect index obtained by normalizing and weighting the predetermined indexes is used to characterize the circuit simulation conditioning effect, and the predetermined indexes include at least impedance conversion deviation rate and harmonic suppression rate; wherein, the predetermined signal conditioning circuit includes at least L-type circuit, π-type circuit, T-type circuit, transformer circuit, and active circuit.

[0067] Furthermore, the self-adjusting control module 50 is used to perform the following operation steps: A predetermined illumination intensity is obtained and compared with the real-time illumination intensity to obtain the real-time deviation amplitude; the signal duty cycle is obtained using the real-time deviation amplitude as a coefficient; a deviation amplitude time series is generated based on the real-time deviation amplitude, and the deviation amplitude time series is accumulated to obtain the total deviation amplitude; an illumination intensity time series is generated based on the real-time illumination intensity, and the illumination intensity time series is predicted and analyzed to obtain the predicted illumination intensity; the pulse width modulation signal is determined according to the first total number of targets, combined with the signal duty cycle, the total deviation amplitude, and the predicted illumination intensity.

[0068] Furthermore, the real-time environmental information also includes ambient temperature and heat sink temperature, and the self-adjusting control module 50 is used to perform the following operation steps: The driving current, the heat sink temperature, and the ambient temperature are normalized and weighted to obtain a predicted value of luminous flux attenuation. When the predicted value of luminous flux attenuation exceeds a predetermined limit, an incremental compensation current is output to the pulse width modulation signal.

[0069] Furthermore, the total number of the first target and the real-time modulation status of the target shadowless lamp are uploaded to a cloud platform, wherein the cloud platform is communicatively connected to a mobile terminal, and the mobile terminal supports remote monitoring and manual dimming.

[0070] Through the foregoing detailed description of the infrared sensing-based contactless shadowless lamp self-adjustment control method, those skilled in the art can clearly understand the infrared sensing-based contactless shadowless lamp self-adjustment control system in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant parts can be referred to the method section.

[0071] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A contactless shadowless lamp self-adjustment control method based on infrared sensing, characterized in that, The method includes: A reflective infrared photoelectric switch is deployed at a predetermined entrance / exit position in the target space, and a first monitoring result is obtained through dynamic monitoring using the reflective infrared photoelectric switch; If the first monitoring result meets the first predetermined constraint, the pyroelectric human infrared sensor is activated to track and monitor the first moving target in the first monitoring result to obtain the first tracking result; If the first tracking result meets the second predetermined constraint, then the total number of the first moving targets is obtained by counting the first moving targets; The self-adjustment control command is obtained based on the total number of the first target as the lighting discrimination criterion, and the contactless control mechanism is invoked based on the self-adjustment control command; The target shadowless lamp in the target space is self-adjusted and controlled according to the contactless control mechanism.

2. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 1, characterized in that, The reflective infrared photoelectric switch includes a first switch and a second switch, wherein the first switch and the second switch are arranged side by side at the predetermined entrance / exit position, and both the first switch and the second switch are perpendicular to the ground.

3. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 2, characterized in that, After calculating the total number of the first moving targets, the process further includes: Record the first trigger time of the first switch; Record the second trigger time of the second switch; The time difference between the first trigger time and the second trigger time is calculated. The first moving direction of the first moving target is determined based on the time difference, and the first moving direction is used as a verification reference for the total number of the first targets.

4. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 1, characterized in that, The self-adjusting control of the target shadowless lamp in the target space according to the aforementioned contactless control mechanism includes: The target space is subjected to environmental perception through a voltage divider circuit to obtain real-time environmental information; A pulse width modulation signal is obtained by combining the total number of the first target with the real-time illumination intensity in the real-time environmental information; The real-time drive current is obtained by controlling the conduction angle of the bidirectional thyristor according to the pulse width modulation signal. Based on the contactless control mechanism, the target shadowless lamp is self-adjusted and controlled according to the real-time drive current.

5. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 4, characterized in that, The voltage divider circuit is composed of a photoresistor and an adjustable resistor connected in series, wherein the adjustable resistor is used to change the light sensitivity threshold.

6. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 5, characterized in that, The output of the voltage divider circuit is connected to a voltage follower, which is formed by an impedance matching network and a power drive circuit. The power drive circuit is a push-pull output circuit that uses the voltage divider circuit to perform environmental sensing on the target space and obtain real-time environmental information, including: The real-time light intensity is obtained by conditioning the output signal of the voltage divider circuit using the voltage follower. This includes: Collect multidimensional feature information of the output signal, and use the multidimensional feature information as simulation optimization constraints; Using the circuit simulation conditioning effect as the simulation optimization evaluation index, and in conjunction with the simulation optimization constraints, the predetermined signal conditioning circuit is simulated and optimized to determine the optimal circuit; The optimal circuit is used as the impedance matching network, and the output signal is conditioned and converted from analog to digital to obtain the real-time light intensity. The multidimensional feature information includes at least frequency, bandwidth, intensity, and whether isolation is required; The circuit simulation conditioning effect is characterized by a conditioning effect index obtained by normalizing and weighting predetermined indicators, and the predetermined indicators include at least impedance transformation deviation rate and harmonic suppression rate. The predetermined signal conditioning circuit includes at least an L-type circuit, a π-type circuit, a T-type circuit, a transformer circuit, and an active circuit.

7. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 4, characterized in that, The pulse width modulation signal is obtained by combining the total number of the first targets with the real-time illumination intensity in the real-time environment information, including: Obtain the predetermined light intensity and compare it with the real-time light intensity to obtain the real-time deviation amplitude; The signal duty cycle is obtained by using the real-time deviation amplitude as a coefficient; Based on the real-time deviation amplitude, a deviation amplitude time series is generated, and the deviation amplitude time series is accumulated to obtain the total deviation amplitude; A light intensity time series is generated based on the real-time light intensity, and a predictive analysis is performed on the light intensity time series to obtain the predicted light intensity. The pulse width modulation signal is determined based on the first total number of targets, combined with the signal duty cycle, the total deviation amplitude, and the predicted illumination intensity.

8. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 4, characterized in that, The real-time environmental information also includes ambient temperature and heat sink temperature. After the target shadowless lamp is self-adjusted based on the real-time drive current according to the contactless control mechanism, the following is also included: The driving current, the heat sink temperature, and the ambient temperature are normalized and weighted to obtain the predicted value of luminous flux attenuation. When the predicted value of luminous flux attenuation exceeds a predetermined limit, an incremental compensation current is output to the pulse width modulation signal.

9. The contactless shadowless lamp self-adjustment control method based on infrared sensing as described in claim 1, characterized in that, The total number of the first target and the real-time modulation status of the target shadowless lamp are uploaded to the cloud platform, wherein the cloud platform is communicatively connected to the mobile terminal, and the mobile terminal supports remote monitoring and manual dimming.

10. A contactless shadowless lamp self-adjustment control system based on infrared sensing, characterized in that, For implementing the infrared sensing-based contactless shadowless lamp self-adjustment control method according to any one of claims 1-9, the system comprises: The dynamic monitoring module is used to deploy reflective infrared photoelectric switches at predetermined entrance and exit positions in the target space, and obtain a first monitoring result through dynamic monitoring of the reflective infrared photoelectric switches; The tracking and monitoring module is used to activate the pyroelectric human infrared sensor to track and monitor the first moving target in the first monitoring result if the first monitoring result meets the first predetermined constraint, and obtain the first tracking result. The statistics module is used to calculate the total number of the first moving targets if the first tracking result meets the second predetermined constraint. The control mechanism retrieval module is used to obtain a self-adjusting control command based on the total number of the first target as the lighting discrimination criterion, and to retrieve a contactless control mechanism based on the self-adjusting control command. The self-adjusting control module is used to self-adjust the target shadowless lamp in the target space according to the contactless control mechanism.

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