An infrared expandable portable navigation lighting system, lamp and storage medium

Abstract

The present application relates to the technical field of navigation lights, and in particular to an infrared expandable portable navigation light system, lamp and storage medium. The present application first collects temperature data through a temperature sensor and calculates compensation parameters; then adjusts the PWM drive current according to the compensation parameters; then adjusts the spectroscopic composite lens system to optimize the light intensity distribution; finally, ensures stable operation of the system through partition control and intelligent power supply management; not only solves the problem of unstable light intensity caused by temperature drift, but also realizes all-weather reliable operation through dual-spectrum coordination, significantly improving the adaptability and reliability of the navigation light system.

Description

Technical Field

[0001] The present application relates to the technical field of navigation lights, and in particular to an infrared expandable portable navigation light system, a lamp, and a storage medium. Background Art

[0002] With the rapid development of aviation and navigation, the performance requirements for navigation lighting systems are constantly increasing. As an important device to ensure traffic safety, navigation lighting systems need to provide stable and reliable navigation indication functions in various complex environments, especially at night and in special weather conditions.

[0003] The current navigation lighting system mainly adopts a single spectrum LED light source combined with a fixed optical system. This solution improves the lighting effect by increasing the number of LEDs and optical elements, and uses a simple temperature control circuit to maintain system stability. It has achieved certain results in practical applications. However, it is difficult to adapt to all-weather needs and cannot be dynamically adjusted according to the environment. This situation needs to be further improved. Summary of the invention

[0004] In order to solve the problem that the existing navigation lighting system is difficult to adapt to all-weather needs and cannot be dynamically adjusted according to the environment, the present application provides an infrared expandable portable navigation lighting system, lamp and storage medium, which adopts the following technical solutions:

[0005] In a first aspect, the present application provides an infrared expandable portable navigation lighting system, comprising:

[0006] The temperature compensation module is used to obtain the central temperature data of the visible light LED array and the infrared LED array and the ambient temperature data, calculate the temperature compensation coefficient of the dual-spectrum emission system according to the preset temperature-light intensity characteristic curve, and obtain the compensation parameters of the emission system;

[0007] A drive control module, used to adjust the drive current of the dual-spectrum LED array in stages through PWM dimming according to the emission system compensation parameters, and collect LED forward voltage and current data to obtain real-time drive parameters;

[0008] An optical configuration module, used to adjust the gear position of the light splitting compound lens system according to the real-time driving parameters, select a preset light intensity distribution mode, and obtain an optical path configuration signal;

[0009] A regional control module, used to perform partition drive control on the LED array according to the optical path configuration signal, and achieve substantially uniform light emission by adjusting the drive current of the LEDs in each region to obtain a partition control parameter;

[0010] A power supply management module, used to calculate the total power demand of the system according to the partition control parameters, and select a corresponding power supply mode according to the battery capacity status to obtain power supply control parameters;

[0011] The voltage stabilization protection module is used to control the output voltage of the DC-DC converter according to the power supply control parameters to achieve overvoltage and overcurrent protection, and feed back the voltage and current data to the temperature compensation module for temperature compensation correction.

[0012] By adopting the above technical scheme, in order to solve the reliability problem of the navigation lighting system in complex weather environments, the existing technology often increases the light intensity by simply increasing the number of LEDs or increasing the power of a single LED. This scheme exposes many deficiencies in practical applications; for example, in the navigation lighting of offshore oil platforms, due to drastic temperature changes, the LED light intensity is unstable, and the single spectrum has poor penetration in haze weather, resulting in a significant decrease in the warning effect; in airport runway lighting, the fixed optical system cannot adapt to different visibility conditions, resulting in lighting blind spots; the present application first collects temperature data through a temperature sensor and calculates compensation parameters; then adjusts the PWM drive current according to the compensation parameters; then adjusts the spectroscopic composite lens system to optimize the light intensity distribution; finally, the system is ensured to work stably through partition control and intelligent power supply management; it not only solves the problem of unstable light intensity caused by temperature drift, but also realizes all-weather reliable operation through dual-spectrum cooperation, significantly improving the adaptability and reliability of the navigation lighting system.

[0013] Optionally, the temperature compensation module specifically includes:

[0014] A data acquisition unit, used to obtain the center temperature data of the visible light LED array and the infrared LED array and the ambient temperature data;

[0015] A density analysis unit, used to calculate the temperature gradient distribution value of the dual-spectrum LED array in combination with the central temperature data and the ambient temperature data, and determine the temperature compensation reference value according to a preset temperature-light intensity characteristic curve;

[0016] An efficiency calculation unit, used to calculate the luminous efficiency correction coefficient corresponding to each LED unit at the current temperature according to the temperature gradient distribution value and the temperature compensation reference value;

[0017] A deviation analysis unit, used to analyze the real-time temperature deviation according to the luminous efficiency correction coefficient in combination with a preset temperature-light intensity characteristic curve to obtain a temperature compensation correction value of the LED unit;

[0018] The parameter generating unit is used to calculate the temperature compensation coefficient of the dual-spectrum emission system according to the temperature compensation correction value and the temperature compensation reference value to obtain the compensation parameter of the emission system.

[0019] By adopting the above technical scheme, since the luminous efficiency of LED is closely related to the working temperature, the existing navigation lighting system generally adopts single-point temperature detection and simple linear compensation methods, which are difficult to accurately reflect the actual temperature distribution state of the LED array; this application first establishes a temperature acquisition network to obtain multi-point temperature data; then analyzes the temperature gradient distribution through a thermodynamic model; then calculates the efficiency correction value based on the temperature-light intensity characteristics of the LED; finally, generates compensation parameters to guide system adjustment; and realizes accurate temperature compensation of the LED array through multi-dimensional analysis, which significantly improves the light intensity stability and consistency of the system.

[0020] Optionally, the drive control module specifically includes:

[0021] The difference detection unit is used to obtain the LED forward voltage and current data and calculate the real-time power change value of the dual-spectrum LED array;

[0022] A characteristic analysis unit, used to determine the step adjustment parameters of PWM dimming according to the power change value;

[0023] A current regulating unit, used to implement step-by-step regulation of the dual-spectrum LED array driving current through PWM waveform modulation according to the emission system compensation parameter and the step-by-step regulation parameter;

[0024] The feedback generation unit is used to collect the adjusted LED forward voltage and current data and generate real-time driving parameters.

[0025] By adopting the above technical solution, since the driving control of the dual-spectrum LED array needs to take into account the characteristic differences of visible light and infrared spectrum at the same time, the traditional fixed PWM dimming solution is difficult to achieve accurate light intensity regulation; the present application first collects the voltage and current characteristics of the LED; then analyzes the power change trend to establish the dimming gear; then dynamically adjusts the PWM waveform according to the temperature compensation result; finally, forms a closed-loop control through real-time feedback; provides more accurate light intensity control capability through step adjustment, greatly improving the dimming accuracy and stability of the system.

[0026] Optionally, the characteristic analysis unit specifically includes:

[0027] The power characteristic subunit is used to obtain the power change curves of visible light LED and infrared LED, analyze the power change law of dual spectrum under different driving currents, and establish a power-current mapping model;

[0028] A duty cycle calculation subunit, used to calculate the optimal PWM duty cycle corresponding to different power points according to the luminous efficiency curve of the dual-spectrum LED and the power-current mapping model, and generate a PWM waveform parameter table;

[0029] The weight analysis subunit is used to establish the brightness weight ratio of visible light and infrared spectrum, calculate the comprehensive luminous flux when the dual spectrums emit light in coordination, and determine the dimming priority of each spectrum;

[0030] The strategy generation subunit is used to establish a mapping relationship between the power change value and the PWM duty cycle according to the PWM waveform parameter table and the dimming priority, and generate an adaptive graded adjustment strategy.

[0031] By adopting the above technical scheme, since visible light LEDs and infrared LEDs have different power characteristics and luminous efficiency curves, the traditional unified PWM dimming strategy is difficult to achieve optimal coordinated control of dual spectra; for example, in runway navigation lights, when it is necessary to reduce visible light and enhance infrared light at night, simple duty cycle adjustment cannot accurately grasp the optimal ratio of the two spectra, resulting in uneven light intensity or energy waste; the present application first analyzes the power variation law of dual-spectrum LEDs; then establishes the optimal duty cycle correspondence between different power points; then evaluates the weight ratio of the dual spectra; and finally forms a dynamic adjustment strategy; achieves optimal coordinated control of the dual spectra, significantly improving the system's spectral adaptability and energy utilization efficiency.

[0032] Optionally, the optical configuration module specifically includes:

[0033] A parameter analysis unit, used for analyzing the real-time luminous flux and spectral characteristics of the dual-spectrum LED according to the real-time driving parameters;

[0034] A lens adjustment unit, used for adjusting the gear position of the light-splitting composite lens system based on the light flux and spectral characteristics;

[0035] A pattern matching unit, used to match the optimal matching pattern from a preset light intensity distribution pattern library according to the requirements of different application scenarios;

[0036] The optical path optimization unit is used to calculate the optimal divergence angle and light intensity distribution of the dual-spectrum light beam according to the optimal matching mode, and generate an optical path configuration signal.

[0037] By adopting the above technical solution, since the navigation lighting system needs to maintain the best lighting effect under different weather conditions and application scenarios, the traditional fixed optical system is difficult to adapt to the changing environmental requirements; for example, in airport runway lights, the light intensity distribution mode needs to be changed under different visibility conditions, and the static lens system is difficult to meet complex weather requirements; this application first analyzes the real-time output characteristics of the dual-spectrum LED; then adjusts the gear position of the spectroscopic composite lens; then matches the optimal solution from the preset mode library; finally optimizes the beam parameters to generate a configuration signal; through intelligent optical path adjustment, it achieves precise adaptation to different environments, significantly improving the environmental adaptability and lighting effect of the system.

[0038] Optionally, the lens adjustment unit specifically includes:

[0039] A wavelength separation subunit, used to calculate the wavelength separation threshold of visible light and infrared light according to the spectral characteristics, and determine the spectral separation parameters of the light-splitting composite lens;

[0040] The gear control subunit is used to adjust the gear angle of the light-splitting composite lens according to the light flux distribution, wherein the gear angle is determined according to a preset light flux-angle mapping relationship;

[0041] The optical path compensation subunit is used to analyze the optical path difference of the dual spectrum at different gears, calculate the optical path compensation amount, and dynamically adjust the distance between the lens groups, wherein the adjustment distance of the lens group is calculated according to a preset optical path difference model;

[0042] The light spot optimization subunit is used to calibrate the overlap of the dual-spectrum light spots according to the optical path compensation amount.

[0043] By adopting the above technical solution, due to the dispersion effect and optical path difference between visible light and infrared light in the lens system, it is difficult for traditional fixed spectroscopic composite lenses to achieve precise control and perfect overlap of dual spectra. The present application first calculates the separation threshold according to the spectral characteristics; then adjusts the gear angle according to the luminous flux distribution; then compensates the lens group spacing through the optical path difference model; finally, optimizes the overlap of the dual spectrum spots; and achieves perfect fusion of the dual spectra through optical compensation, which significantly improves the system's spectral control accuracy and light energy utilization efficiency.

[0044] Optionally, the regional control module specifically includes:

[0045] A signal processing unit, used for acquiring partition layout information of the dual-spectrum LED array according to the optical path configuration signal;

[0046] A region division unit, used to perform a region planning for the LED array according to the region layout information, and determine the driving control range of each region;

[0047] A parameter calculation unit, used to calculate the driving current parameters of the LEDs in each area and generate the current adjustment value required for basically uniform light emission;

[0048] The instruction generating unit is used to adjust the driving current of the LED in each area according to the current adjustment value, and obtain the partition control parameter in combination with the driving control range of each area.

[0049] By adopting the above technical solution, since large-area LED arrays have problems such as uneven heat distribution and poor chip consistency in actual applications, the traditional unified drive control method is difficult to ensure the uniform light-emitting effect of the array; this application first obtains the layout information of the LED array; then divides the area according to the thermal distribution characteristics; then calculates the compensation current value of each area; finally generates a partition control instruction; through partition compensation, highly uniform light emission of the LED array is achieved, which significantly improves the light intensity uniformity and service life of the system.

[0050] Optionally, the power supply management module specifically includes:

[0051] A power analysis unit, used to calculate the real-time power consumption of the LED array according to the partition control parameters to obtain the total power demand of the system;

[0052] A power monitoring unit is used to detect the capacity status and remaining power of the battery and determine the available power supply time;

[0053] A mode selection unit, configured to match a corresponding power supply mode according to the total power demand of the system and the available power supply duration;

[0054] The parameter output unit is used to generate a power supply control parameter according to the power supply mode.

[0055] By adopting the above technical solution, the present application first calculates the real-time power consumption of the system; then monitors the remaining capacity of the battery; then selects the appropriate mode according to the power demand and power supply capacity; finally outputs the optimized power supply parameters; and achieves the optimal balance between system performance and battery life through dynamic power management, significantly improving the reliability and continuous working ability of the system.

[0056] In a second aspect, the present application provides a lamp, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps executed by the above-mentioned infrared expandable portable navigation lighting system when executing the computer program.

[0057] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps performed by the above-mentioned infrared expandable portable navigation lighting system are implemented.

[0058] In summary, the present application includes at least one of the following beneficial technical effects:

[0059] The present application first collects temperature data through a temperature sensor and calculates compensation parameters; then adjusts the PWM drive current according to the compensation parameters; then adjusts the spectroscopic composite lens system to optimize the light intensity distribution; finally ensures stable operation of the system through partition control and intelligent power supply management; not only solves the problem of unstable light intensity caused by temperature drift, but also realizes all-weather reliable operation through dual-spectrum coordination, significantly improving the adaptability and reliability of the navigation lighting system;

[0060] Since the luminous efficiency of LED is closely related to the working temperature, the existing navigation lighting system generally adopts single-point temperature detection and simple linear compensation methods, which are difficult to accurately reflect the actual temperature distribution state of the LED array. This application first establishes a temperature acquisition network to obtain multi-point temperature data; then analyzes the temperature gradient distribution through a thermodynamic model; then calculates the efficiency correction value in combination with the temperature-light intensity characteristics of the LED; finally generates compensation parameters to guide system adjustment; and realizes accurate temperature compensation of the LED array through multi-dimensional analysis, which significantly improves the light intensity stability and consistency of the system;

[0061] Since the driving control of the dual-spectrum LED array needs to take into account the characteristic differences of visible light and infrared spectrum at the same time, the traditional fixed PWM dimming scheme is difficult to achieve accurate light intensity regulation; the present application first collects the voltage and current characteristics of the LED; then analyzes the power change trend to establish the dimming gear; then dynamically adjusts the PWM waveform according to the temperature compensation result; finally, forms a closed-loop control through real-time feedback; provides more accurate light intensity control capability through step adjustment, greatly improving the dimming accuracy and stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a structural schematic diagram of an infrared expandable portable navigation lighting system in an embodiment of the present application;

[0063] Figure 2 This is a power supply mode switching flow chart in an embodiment of the present application;

[0064] Figure 3 is a schematic diagram of the structure of the temperature compensation module in an embodiment of the present application;

[0065] Figure 4 This is a schematic diagram of temperature field density analysis in an embodiment of the present application;

[0066] Figure 5 is a schematic diagram of the structure of the drive control module in an embodiment of the present application;

[0067] Figure 6 is a schematic diagram of the structure of a characteristic analysis unit in an embodiment of the present application;

[0068] Figure 7 is a structural schematic diagram of an optical configuration module in an embodiment of the present application;

[0069] Figure 8 is a schematic structural diagram of a lens adjustment unit in an embodiment of the present application;

[0070] Fig. 9 is a schematic diagram of the structure of the regional control module in an embodiment of the present application;

[0071] Fig.10 is a structural diagram of a power supply management module in an embodiment of the present application;

[0072] Fig.11 It is a schematic diagram of the structure of the lamp in the embodiment of the present application. DETAILED DESCRIPTION

[0073] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0074] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0075] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0076] In the first aspect, the present application provides an infrared expandable portable navigation lighting system, referring to Figure 1 ,include:

[0077] The temperature compensation module is used to obtain the central temperature data of the visible light LED array and the infrared LED array and the ambient temperature data, calculate the temperature compensation coefficient of the dual-spectrum emission system according to the preset temperature-light intensity characteristic curve, and obtain the emission system compensation parameters.

[0078] The temperature compensation module uses a high-precision digital temperature sensor array, arranges multiple temperature acquisition nodes at key locations on the LED substrate, and establishes a temperature field distribution model. The system has established a temperature-light intensity characteristic curve database based on a large amount of experimental data, including the LED light intensity variation characteristics at different temperature points in the range of -40°C to 85°C, and obtains a temperature compensation coefficient calculation model through polynomial fitting.

[0079] Specifically, the temperature compensation module first collects the center temperature and ambient temperature data of the LED array, inputs the collected temperature data into the preset temperature compensation model, and calculates the real-time compensation coefficient. For example, when it is detected that the center temperature of the LED rises to 65°C, the model will automatically calculate a -15% compensation coefficient for adjusting the drive parameters. At the same time, the system will also make a secondary correction to the compensation coefficient according to the ambient temperature to ensure the accuracy of the compensation.

[0080] The drive control module is used to adjust the drive current of the dual-spectrum LED array in stages through PWM dimming according to the compensation parameters of the emission system, and collect LED forward voltage and current data to obtain real-time drive parameters.

[0081] In this embodiment, the drive control module uses a high-performance PWM controller, integrates a multi-channel constant current drive circuit, and establishes a database of mapping relationship between drive current and luminous flux. The system achieves precise control of LED drive current through table lookup, and collects LED forward voltage and current data in real time for status monitoring.

[0082] Specifically, after receiving the temperature compensation coefficient, the drive control module determines the optimal drive current value by querying a preset current-luminous flux mapping table.

[0083] Furthermore, the drive control module adopts a modular design architecture and reserves an infrared LED drive channel expansion interface. The system has established a visible light / infrared dual-spectrum drive parameter library and supports dynamic loading of infrared LED drive configurations. The drive circuit adopts a configurable multi-channel structure, which can flexibly expand the number of infrared LED drive channels according to actual needs; when the infrared function needs to be expanded, just connect the infrared LED module through the reserved interface, and the system will automatically identify the newly added channel and load the corresponding drive parameters. For example, users can choose to add near-infrared or mid-to-far infrared LED modules according to task requirements, and the system will automatically adapt the corresponding drive strategy.

[0084] The optical configuration module is used to adjust the gear position of the light splitting compound lens system according to the real-time driving parameters, select a preset light intensity distribution mode, and obtain an optical path configuration signal.

[0085] In this embodiment, the optical configuration module is equipped with a high-precision stepper motor control system for adjusting the position of the beam splitting compound lens. The system pre-establishes a light intensity distribution model library, which includes the optimal light intensity distribution model for different application scenarios, and can be dynamically matched according to actual needs.

[0086] Specifically, the optical configuration module calculates the luminous flux characteristics based on the driving parameters and selects the optimal configuration based on the preset light intensity distribution pattern library. The system adjusts the lens position in real time through a closed-loop control algorithm to ensure that the light beam is always in the best state. For example, when visibility is low, the system will automatically select the narrow beam mode to improve the penetration ability of the light beam.

[0087] Furthermore, the optical configuration module adopts a dual-spectrum compatible design, and the spectroscopic composite lens system reserves space for infrared optical path expansion. The system has built a library of visible light / infrared dual-spectrum light intensity distribution patterns to support independent configuration and composite output of infrared beams. The lens system adopts a modular structure, and functional expansion can be quickly achieved by adding infrared lens components. When expanding the infrared function, you only need to install the matching infrared lens module, and the system will automatically load the dual-spectrum light intensity distribution pattern. For example, you can choose to add narrow-angle or wide-angle infrared lenses according to the actual application to meet the infrared lighting needs in different scenarios.

[0088] The regional control module is used to perform partition drive control on the LED array according to the optical path configuration signal, and achieve basically uniform light emission by adjusting the drive current of the LED in each area to obtain the partition control parameters.

[0089] In this embodiment, the regional control module adopts an intelligent zoning control strategy and divides the LED array into multiple independent control areas through thermal distribution modeling. The system establishes a regional light intensity uniformity evaluation model and calculates the driving parameter deviation of each area in real time to ensure the overall light uniformity.

[0090] Specifically, the regional control module performs zoning planning based on the optical path configuration signal, and determines the optimal driving current value for each area by querying the preset regional driving parameter database. For example, when it is detected that the light intensity in a certain area is low, the system will automatically increase the driving current of the area to achieve dynamic compensation and maintain the overall light intensity uniformity.

[0091] Furthermore, the regional control module adopts a reconfigurable partitioning architecture to support the dynamic expansion of the infrared LED array. The system has pre-established a dual-spectrum LED layout template library, which can flexibly adjust the partitioning strategy according to the needs of infrared function expansion. The control algorithm adopts an adaptive structure that can automatically identify and manage newly added infrared LED areas.

[0092] The power supply management module is used to calculate the total power demand of the system according to the partition control parameters, and select the corresponding power supply mode according to the battery capacity status to obtain the power supply control parameters.

[0093] Among them, refer to Figure 2 The power supply management module integrates an intelligent power management system and establishes a battery capacity-discharge characteristic model. The system pre-sets multiple power supply modes, including standard mode, energy-saving mode and emergency mode, which can be dynamically switched according to actual conditions.

[0094] Specifically, the power management module calculates the system power demand in real time and selects the most suitable power supply mode based on the battery capacity status. By querying the preset power supply strategy database, the system can intelligently balance performance and battery life. For example, when the battery capacity is less than 30%, the system will automatically switch to energy-saving mode to extend the working time.

[0095] The voltage stabilization protection module is used to control the output voltage of the DC-DC converter according to the power supply control parameters, realize overvoltage and overcurrent protection, and feed back the voltage and current data to the temperature compensation module for temperature compensation correction.

[0096] The voltage stabilization protection module uses high-efficiency DC-DC conversion technology to establish a complete voltage and current protection threshold model. The system pre-sets multi-level protection thresholds, including overvoltage protection, overcurrent protection, and short-circuit protection, to ensure safe operation of the system.

[0097] Specifically, the voltage stabilization protection module monitors the system voltage and current parameters in real time and dynamically adjusts them in combination with the preset protection threshold model. When an abnormality is detected, the system will immediately activate the corresponding protection mechanism. For example, when it is detected that the output current exceeds the threshold, the system will automatically reduce the output voltage and feed back the status information to the temperature compensation module for correction.

[0098] In one embodiment, referring to Figure 3 , the temperature compensation module specifically includes:

[0099] The data acquisition unit is used to obtain the central temperature data of the visible light LED array and the infrared LED array and the ambient temperature data.

[0100] In this embodiment, the data acquisition unit adopts a distributed temperature sensing network architecture, and high-precision digital temperature sensors are arranged at key positions of the LED array. The system establishes a multi-layer temperature data acquisition model, including the array center area, edge area and environmental reference point, and forms a complete temperature field description through real-time data acquisition.

[0101] The density analysis unit is used to combine the central temperature data and the ambient temperature data to calculate the temperature gradient distribution value of the dual-spectrum LED array, and determine the temperature compensation reference value according to a preset temperature-light intensity characteristic curve.

[0102] In this embodiment, the density analysis unit constructs a temperature field density analysis model and pre-establishes a temperature gradient distribution database. Figure 4 As shown in the figure, the system sets 5 key temperature measurement points on the LED array, including the center temperature point Tc and four corner temperature points T1-T4, and reconstructs the complete temperature field distribution through these discrete temperature data. The temperature field shows a decreasing pattern from the center to the periphery, and the distribution characteristics of the temperature gradient can be intuitively represented by isotherms. The database contains typical temperature distribution characteristics under different working conditions. The temperature value at any position can be calculated through the interpolation algorithm to achieve accurate reconstruction of the temperature field.

[0103] Specifically, the density analysis unit first performs Gaussian filtering on the collected temperature data, and then uses a two-dimensional spline interpolation algorithm to calculate the temperature gradient distribution. Figure 4 As shown in the figure, the system divides the temperature field into three isothermal areas, with the isothermal distribution represented by dotted lines. The temperature in the center area can reach up to 85°C, and isothermal areas of 65°C and 45°C are formed outward. The system presets a family of temperature-light intensity characteristic curves based on experimental data, and obtains the temperature value of any point through grid division and interpolation calculation, thereby determining the temperature compensation reference value. For example, when the center temperature point Tc is detected to be 65°C and the average temperature point of the corner is 25°C, the system will calculate a temperature gradient of 40°C based on the isothermal distribution and obtain the corresponding compensation reference value.

[0104] The efficiency calculation unit is used to calculate the luminous efficiency correction coefficient corresponding to each LED unit at the current temperature according to the temperature gradient distribution value and the temperature compensation reference value.

[0105] In this embodiment, the efficiency calculation unit establishes a mathematical model of LED luminous efficiency, including key parameters such as temperature coefficient, current density and quantum efficiency. The system has established an efficiency correction coefficient database through a large number of tests in advance, which can be dynamically adjusted according to real-time temperature conditions.

[0106] Specifically, the efficiency calculation unit uses a preset efficiency calculation model and combines the temperature gradient distribution value to calculate the efficiency correction factor of each LED unit. For example, when the temperature of a certain LED unit is 10°C higher than the reference temperature, the system will calculate a -5% efficiency correction factor based on the correction model for subsequent compensation.

[0107] The deviation analysis unit is used to analyze the real-time temperature deviation according to the luminous efficiency correction coefficient in combination with a preset temperature-light intensity characteristic curve to obtain a temperature compensation correction value of the LED unit.

[0108] In this embodiment, the system presets multiple sets of temperature-light intensity characteristic curves, and analyzes the influence of temperature change on light intensity through curve fitting method.

[0109] Specifically, the deviation analysis unit calculates the light intensity change caused by temperature deviation by comparing the real-time temperature with the preset characteristic curve. The system uses a piecewise linear fitting method to divide the temperature range into multiple intervals, and each interval uses a different compensation strategy. For example, in the range of 45°C to 65°C, a quadratic curve fitting is used to calculate the compensation correction value.

[0110] The parameter generating unit is used to calculate the temperature compensation coefficient of the dual spectrum emission system according to the temperature compensation correction value and the temperature compensation reference value, so as to obtain the compensation parameter of the emission system.

[0111] In this embodiment, the system presets a compensation parameter optimization criterion, and comprehensively considers the influence of the reference value and the correction value through a weighted calculation method.

[0112] Specifically, the parameter generation unit inputs the temperature compensation correction value and the reference value into the compensation parameter calculation model, and obtains the final temperature compensation coefficient through iterative optimization. For example, the system will calculate the compensation coefficient in the range of -15% to +10% based on the temperature characteristics of different areas, which is used to adjust the LED driving parameters.

[0113] In one embodiment, referring to Figure 5 , the drive control module specifically includes:

[0114] The difference detection unit is used to obtain the LED forward voltage and current data and calculate the real-time power change value of the dual-spectrum LED array.

[0115] In this embodiment, the difference detection unit establishes a database of LED voltage and current characteristics, including a family of VI characteristic curves under different temperatures and driving conditions. The system collects the voltage across the LED and the current flowing through the LED in real time through a high-precision sampling circuit, and obtains real-time power changes using a preset power calculation model.

[0116] The characteristic analysis unit is used to determine the graded adjustment parameters of PWM dimming according to the power change value.

[0117] In this embodiment, the characteristic analysis unit constructs a PWM dimming characteristic model and pre-establishes a database of mapping relationships between power changes and PWM duty cycles. The database contains threshold parameters for multiple dimming gears, and the system automatically matches the optimal dimming gear according to the power change value.

[0118] Specifically, the characteristic analysis unit inputs the power change value into the preset gear division model and determines the PWM adjustment parameters through piecewise linear interpolation. For example, the system divides the dimming range into 8 gears. When the power change value is in the range of 50-100mW, the 4th gear is selected for adjustment, and the corresponding PWM duty cycle is 60%.

[0119] The current regulating unit is used to realize the step-by-step regulation of the dual-spectrum LED array driving current through PWM waveform modulation according to the emission system compensation parameters and the step-by-step regulation parameters.

[0120] In this embodiment, the current regulation unit integrates the PWM waveform control engine and establishes a current regulation strategy library. The system presets multiple sets of PWM waveform templates, which can dynamically adjust the duty cycle and frequency of the waveform according to the graded adjustment parameters to achieve precise control of the LED drive current.

[0121] The feedback generation unit is used to collect the adjusted LED forward voltage and current data and generate real-time driving parameters.

[0122] In this embodiment, the feedback generation unit constructs a driving parameter feedback model and establishes a real-time monitoring database. The system acquires the adjusted VI characteristic data in real time through a high-speed data acquisition channel and generates standardized driving parameters using a parameter extraction algorithm.

[0123] Specifically, the feedback generation unit performs real-time analysis on the collected voltage and current data, and generates driving parameters after pre-processing such as mean filtering and outlier elimination.

[0124] In one embodiment, referring to Figure 6 , the characteristic analysis unit specifically includes:

[0125] The power characteristic subunit is used to obtain the power change curves of the visible light LED and the infrared LED, analyze the power change law of the dual spectrum under different driving currents, and establish a power-current mapping model.

[0126] The duty cycle calculation subunit is used to calculate the optimal PWM duty cycle corresponding to different power points according to the luminous efficiency curve of the dual-spectrum LED and the power-current mapping model, and generate a PWM waveform parameter table.

[0127] The weight analysis subunit is used to establish the brightness weight ratio of visible light and infrared spectrum, calculate the comprehensive luminous flux when the two spectra are co-luminescent, and determine the dimming priority of each spectrum.

[0128] In this embodiment, the weight analysis subunit pre-establishes a spectrum weight configuration database, which stores the best matching parameters of visible light and infrared spectrum in different application scenarios, and quickly determines the dimming priority of each spectrum by looking up a table.

[0129] Specifically, the weight analysis subunit divides the brightness contribution rate of visible light and infrared into several gears, such as 7:3, 6:4 and other fixed ratio configurations. For example, when a power change is detected, the system first adjusts the spectrum with a higher contribution rate according to the preset weight, and then compensates for the secondary spectrum.

[0130] The strategy generation subunit is used to establish a mapping relationship between the power change value and the PWM duty cycle according to the PWM waveform parameter table and the dimming priority, and generate an adaptive graded adjustment strategy.

[0131] In this embodiment, the strategy generation subunit constructs a graded adjustment strategy library, which contains a PWM waveform parameter mapping table based on weight configuration. The system automatically selects the optimal adjustment gear according to the power change value and spectrum weight through a recursive decision tree algorithm.

[0132] Specifically, the strategy generation subunit adopts a hierarchical table lookup structure, first determining the adjustment order of the primary and secondary spectra according to the weights, and then selecting the corresponding gear according to the power change value. For example, when the primary spectrum needs to reduce the output, the system looks up the table to obtain the corresponding PWM duty cycle, and adjusts the compensation parameters of the secondary spectrum in a linked manner.

[0133] In one embodiment, referring to Figure 7 , the optical configuration module specifically includes:

[0134] The parameter analysis unit is used to analyze the real-time luminous flux and spectral characteristics of the dual-spectrum LED according to the real-time driving parameters.

[0135] The lens adjustment unit is used to adjust the gear position of the light splitting compound lens system based on the luminous flux and spectral characteristics.

[0136] The pattern matching unit is used to match the optimal matching pattern from a preset light intensity distribution pattern library according to the requirements of different application scenarios.

[0137] In this embodiment, the pattern matching unit pre-establishes a database of light intensity distribution patterns. The database stores standard light intensity distribution templates for various application scenarios, including characteristic parameters of typical patterns such as Gaussian distribution and uniform distribution. The system calculates the similarity between the current light intensity distribution and the preset template through a pattern recognition algorithm, and selects the pattern with the highest matching degree.

[0138] Specifically, the pattern matching unit uses a feature vector comparison method to convert the light intensity distribution curve into a feature vector and determines the optimal matching pattern by calculating the Euclidean distance. For example, when close-range lighting is required, the system will prioritize matching the uniform distribution pattern; when long-range lighting is required, the center-focused Gaussian distribution pattern will be matched.

[0139] The optical path optimization unit is used to calculate the optimal divergence angle and light intensity distribution of the dual-spectrum light beam according to the optimal matching mode, and generate an optical path configuration signal.

[0140] In this embodiment, the optical path optimization unit constructs an optical path parameter optimization model and establishes a divergence angle-light intensity distribution mapping relationship database. The model integrates a ray tracing algorithm and can quickly calculate the optimal optical path parameters according to the matching mode.

[0141] Specifically, the optical path optimization unit adjusts the divergence angle and light intensity distribution through an iterative optimization method until the target mode requirements are met. For example, the system sets the divergence angle range to 10-60 degrees, and gradually adjusts it through the binary method until the light intensity distribution error is less than the preset threshold, and finally generates the optical path configuration parameters.

[0142] In one embodiment, referring to Figure 8 , the lens adjustment unit specifically includes:

[0143] The wavelength separation subunit is used to calculate the wavelength separation threshold of visible light and infrared light according to the spectral characteristics and determine the spectral separation parameters of the light-splitting composite lens.

[0144] In this embodiment, the wavelength separation subunit pre-establishes a wavelength separation parameter mapping table, which stores the correspondence between the spectral characteristics and the separation threshold under different working conditions. The mapping table adopts a hierarchical structure design to divide the spectral characteristic parameter space into multiple sub-areas, and each area is configured with a corresponding optimal separation threshold and spectral separation parameter. At the same time, the system establishes a separation parameter optimization model to quickly locate the optimal separation parameter when the spectral characteristics fluctuate.

[0145] Specifically, the wavelength separation subunit adopts a two-level parameter matching strategy. First, the characteristic vector is calculated according to the current spectral characteristics, and the characteristic vector is matched with the preset parameter range to determine the initial separation parameters; then the parameters are fine-tuned based on the spectral energy distribution to obtain the final separation threshold.

[0146] The gear control subunit is used to adjust the gear angle of the beam splitting composite lens according to the luminous flux distribution, wherein the gear angle is determined according to a preset luminous flux-angle mapping relationship.

[0147] In this embodiment, the gear control subunit pre-establishes a luminous flux distribution feature database, which contains standard luminous flux distribution patterns in a variety of typical application scenarios. The system uses a pattern recognition algorithm to extract features from real-time luminous flux distribution and obtain key parameters such as luminous flux size, spatial distribution, etc.

[0148] Specifically, the gear control subunit adopts a hierarchical gear matching strategy, firstly, it performs a characteristic analysis on the luminous flux distribution and extracts the main characteristic parameters; then it searches for the most matching gear configuration in the preset database and determines the reference gear angle. For example, when a change in the luminous flux distribution is detected, the system automatically searches the database for the distribution mode with the highest similarity and reads the corresponding gear angle parameters.

[0149] The optical path compensation subunit is used to analyze the optical path difference of the dual spectrum at different gears, calculate the optical path compensation amount, and dynamically adjust the lens group spacing, wherein the lens group adjustment distance is calculated based on a preset optical path difference model.

[0150] In this embodiment, the optical path compensation subunit pre-establishes an optical path difference compensation model. The model includes an optical path difference lookup table of dual spectra at different gear angles, and the system obtains the theoretical compensation amount by looking up the table. For example, when the gear angle is 15 degrees, the optical path difference between visible light and infrared light is δL, and the compensation distance that the lens group needs to adjust is kδL (k is the compensation coefficient).

[0151] Specifically, the optical path compensation subunit uses a real-time correction algorithm to automatically calculate the required compensation amount according to the current gear position. The compensation process is divided into two stages: coarse adjustment and fine adjustment. During coarse adjustment, the standard compensation amount is directly obtained by looking up the table according to the gear angle, and during fine adjustment, the compensation coefficient k is fine-tuned through the feedback of the spot overlap.

[0152] The light spot optimization subunit is used to calibrate the overlap of the dual-spectrum light spots according to the optical path compensation amount.

[0153] In this embodiment, the spot optimization subunit constructs a spot overlap evaluation model, which defines a calculation method for the dual-spectrum spot overlap, and performs evaluation through two indicators: overlapping area ratio and energy distribution similarity.

[0154] Specifically, the spot optimization subunit continuously adjusts the compensation amount through iterative optimization until the best overlap effect is achieved. First, the current spot overlap is calculated, the compensation coefficient k is fine-tuned, and then the optimization effect is evaluated. If the threshold is not reached, the iteration continues.

[0155] In one embodiment, referring to Fig. 9 , the regional control module specifically includes:

[0156] The signal processing unit is used to obtain the partition layout information of the dual-spectrum LED array according to the optical path configuration signal.

[0157] In this embodiment, the signal processing unit pre-establishes an LED array layout feature database, which stores standard layout patterns under different optical path configurations. The system uses a signal analysis algorithm to extract features from the optical path configuration signal to obtain key information such as light intensity distribution, divergence angle and other parameters.

[0158] Specifically, the system first performs feature analysis on the optical path configuration signal to extract the main control parameters; then matches the best layout scheme in the preset database to obtain the partition layout information of the LED array. For example, when a new optical path configuration signal is received, the system automatically retrieves the layout mode with the highest similarity from the database and determines the final layout parameters through the preset feature recognition algorithm.

[0159] The area division unit is used to carry out area planning for the LED array according to the area layout information and determine the driving control range of each area.

[0160] Specifically, the system first determines the initial partitioning scheme based on the layout information; then adjusts the range of each area through the boundary optimization algorithm to generate the final drive control range. For example, when obtaining new layout information, the system automatically searches for the most matching partition template in the model library and determines the specific control range parameters through the preset area division algorithm.

[0161] The parameter calculation unit is used to calculate the driving current parameters of the LEDs in each area and generate the current adjustment value required for basically uniform light emission.

[0162] Specifically, the system first determines the baseline driving parameters based on the regional characteristics; then fine-tunes the current value of each region through the compensation algorithm to achieve a uniform lighting effect. For example, when a new regional division scheme is determined, the system automatically retrieves the closest parameter configuration from the database and calculates the actual required current adjustment value through a preset optimization algorithm.

[0163] The instruction generation unit is used to adjust the driving current of the LED in each area according to the current adjustment value, and obtain the partition control parameter in combination with the driving control range of each area.

[0164] In this embodiment, the instruction generation unit pre-establishes a control instruction template library, which contains standard control instruction sets under different driving conditions. The system designs an instruction synthesis algorithm for converting the current adjustment value into a specific control instruction.

[0165] Specifically, the instruction generation unit adopts a hierarchical instruction generation strategy, first generating basic control instructions based on the current adjustment value; then optimizing the instructions in combination with the regional control range to form the final partition control parameters. For example, when a new current adjustment value is obtained, the system automatically matches the corresponding instruction template in the template library and determines the specific control parameter configuration through a preset instruction generation algorithm.

[0166] In one embodiment, referring to Fig.10 , the power supply management module specifically includes:

[0167] The power analysis unit is used to calculate the real-time power consumption of the LED array according to the partition control parameters to obtain the total power demand of the system.

[0168] In this embodiment, the power analysis unit pre-establishes an LED power consumption feature database, which contains power loss models under different working conditions. The database adopts an adaptive structure design to establish a mapping relationship between power characteristics and working states, supporting real-time power consumption prediction. At the same time, the system constructs a power compensation model to correct power consumption deviations caused by factors such as temperature fluctuations and device aging, ensuring the accuracy of power calculation.

[0169] Specifically, the system first calculates the basic power consumption of LEDs based on the partition control parameters; then compensates for the actual power consumption deviation through the temperature-power correction model; and finally estimates the total power demand of the system in combination with the drive circuit loss. For example, when it is detected that the temperature rise leads to an increase in power consumption, the system automatically calls the compensation model for correction, and predicts the power change trend, providing a basis for subsequent power supply management.

[0170] The power monitoring unit is used to detect the capacity status and remaining power of the battery and determine the available power supply time.

[0171] The mode selection unit is used to match the corresponding power supply mode according to the total power demand of the system and the available power supply time.

[0172] In this embodiment, the mode selection unit pre-establishes a power supply mode optimization database, which stores the optimal power supply strategies under various working scenarios. The system designs an adaptive decision algorithm to dynamically adjust the power supply mode according to power demand and power supply duration.

[0173] Specifically, the system first calculates the energy demand characteristics under the current working state; then matches the optimal power supply mode in the preset database and determines the specific power supply strategy. For example, when the system needs to work for a long time, it automatically switches to energy-saving mode to extend the power supply time by reducing the power of some areas.

[0174] The parameter output unit is used to generate power supply control parameters according to the power supply mode.

[0175] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0176] In one embodiment, the present application provides a lamp, the internal structure of which can be as follows: Fig.11 As shown. The lamp includes a processor, a memory and a network interface connected through a system bus. The processor of the lamp is used to provide computing and control capabilities. The memory of the lamp includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the lamp is used to store data. The network interface of the lamp is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps executed by an infrared expandable portable navigation lighting system are implemented.

[0177] Those skilled in the art will understand that Fig.11The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the lamp to which the scheme of the present application is applied. The specific lamp may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0178] In one embodiment, a lamp is further provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0179] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0180] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An infrared expandable portable navigation lighting system, characterized in that: include: The temperature compensation module is used to obtain the central temperature data of the visible light LED array and the infrared LED array and the ambient temperature data, calculate the temperature compensation coefficient of the dual-spectrum emission system according to the preset temperature-light intensity characteristic curve, and obtain the compensation parameters of the emission system; A drive control module, used to adjust the drive current of the dual-spectrum LED array in stages through PWM dimming according to the emission system compensation parameters, and collect LED forward voltage and current data to obtain real-time drive parameters; An optical configuration module, used to adjust the gear position of the light splitting compound lens system according to the real-time driving parameters, select a preset light intensity distribution mode, and obtain an optical path configuration signal; A regional control module, used to perform partition drive control on the LED array according to the optical path configuration signal, and achieve substantially uniform light emission by adjusting the drive current of the LEDs in each region to obtain a partition control parameter; A power supply management module, used to calculate the total power demand of the system according to the partition control parameters, and select a corresponding power supply mode according to the battery capacity status to obtain power supply control parameters; The voltage stabilization protection module is used to control the output voltage of the DC-DC converter according to the power supply control parameters to achieve overvoltage and overcurrent protection, and feed back the voltage and current data to the temperature compensation module for temperature compensation correction.

2. The infrared expandable portable navigation lighting system according to claim 1, characterized in that: The temperature compensation module specifically includes: A data acquisition unit, used to obtain the center temperature data of the visible light LED array and the infrared LED array and the ambient temperature data; A density analysis unit, used to calculate the temperature gradient distribution value of the dual-spectrum LED array in combination with the central temperature data and the ambient temperature data, and determine the temperature compensation reference value according to a preset temperature-light intensity characteristic curve; An efficiency calculation unit, used to calculate the luminous efficiency correction coefficient corresponding to each LED unit at the current temperature according to the temperature gradient distribution value and the temperature compensation reference value; A deviation analysis unit, used to analyze the real-time temperature deviation according to the luminous efficiency correction coefficient in combination with a preset temperature-light intensity characteristic curve to obtain a temperature compensation correction value of the LED unit; The parameter generating unit is used to calculate the temperature compensation coefficient of the dual-spectrum emission system according to the temperature compensation correction value and the temperature compensation reference value to obtain the compensation parameter of the emission system.

3. The infrared expandable portable navigation lighting system according to claim 1, characterized in that: The drive control module specifically includes: The difference detection unit is used to obtain the LED forward voltage and current data and calculate the real-time power change value of the dual-spectrum LED array; A characteristic analysis unit, used to determine the step adjustment parameters of PWM dimming according to the power change value; A current regulating unit, used to implement step-by-step regulation of the dual-spectrum LED array driving current through PWM waveform modulation according to the emission system compensation parameter and the step-by-step regulation parameter; The feedback generation unit is used to collect the adjusted LED forward voltage and current data and generate real-time driving parameters.

4. The infrared expandable portable navigation lighting system according to claim 3 is characterized in that: The characteristic analysis unit specifically includes: The power characteristic subunit is used to obtain the power change curves of visible light LED and infrared LED, analyze the power change law of dual spectrum under different driving currents, and establish a power-current mapping model; A duty cycle calculation subunit, used to calculate the optimal PWM duty cycle corresponding to different power points according to the luminous efficiency curve of the dual-spectrum LED and the power-current mapping model, and generate a PWM waveform parameter table; The weight analysis subunit is used to establish the brightness weight ratio of visible light and infrared spectrum, calculate the comprehensive luminous flux when the dual spectrums emit light in coordination, and determine the dimming priority of each spectrum; The strategy generation subunit is used to establish a mapping relationship between the power change value and the PWM duty cycle according to the PWM waveform parameter table and the dimming priority, and generate an adaptive graded adjustment strategy.

5. The infrared expandable portable navigation lighting system according to claim 1, characterized in that: The optical configuration module specifically includes: A parameter analysis unit, used for analyzing the real-time luminous flux and spectral characteristics of the dual-spectrum LED according to the real-time driving parameters; A lens adjustment unit, used for adjusting the gear position of the light-splitting composite lens system based on the light flux and spectral characteristics; A pattern matching unit, used to match the optimal matching pattern from a preset light intensity distribution pattern library according to the requirements of different application scenarios; The optical path optimization unit is used to calculate the optimal divergence angle and light intensity distribution of the dual-spectrum light beam according to the optimal matching mode, and generate an optical path configuration signal.

6. The infrared expandable portable navigation lighting system according to claim 5, characterized in that: The lens adjustment unit specifically comprises: A wavelength separation subunit, used to calculate the wavelength separation threshold of visible light and infrared light according to the spectral characteristics, and determine the spectral separation parameters of the light-splitting composite lens; The gear control subunit is used to adjust the gear angle of the light-splitting composite lens according to the light flux distribution, wherein the gear angle is determined according to a preset light flux-angle mapping relationship; The optical path compensation subunit is used to analyze the optical path difference of the dual spectrum at different gears, calculate the optical path compensation amount, and dynamically adjust the distance between the lens groups, wherein the adjustment distance of the lens group is calculated according to a preset optical path difference model; The light spot optimization subunit is used to calibrate the overlap of the dual-spectrum light spots according to the optical path compensation amount.

7. The infrared expandable portable navigation lighting system according to claim 1, characterized in that: The regional control module specifically includes: A signal processing unit, used for acquiring partition layout information of the dual-spectrum LED array according to the optical path configuration signal; A region division unit, used to perform a region planning for the LED array according to the region layout information, and determine the driving control range of each region; A parameter calculation unit, used to calculate the driving current parameters of the LEDs in each area and generate the current adjustment value required for basically uniform light emission; The instruction generating unit is used to adjust the driving current of the LED in each area according to the current adjustment value, and obtain the partition control parameter in combination with the driving control range of each area.

8. The infrared expandable portable navigation lighting system according to claim 1, characterized in that: The power supply management module specifically includes: A power analysis unit, used to calculate the real-time power consumption of the LED array according to the partition control parameters to obtain the total power demand of the system; A power monitoring unit is used to detect the capacity status and remaining power of the battery and determine the available power supply time; A mode selection unit, configured to match a corresponding power supply mode according to the total power demand of the system and the available power supply duration; The parameter output unit is used to generate a power supply control parameter according to the power supply mode.

9. A lamp, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps executed by the infrared expandable portable navigation lighting system described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps performed by the infrared expandable portable navigation lighting system according to any one of claims 1 to 8 are implemented.

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