Control and adjustment device for solar lighting system

Abstract

The invention relates to the field of renewable energy application technology and intelligent control technology, in particular to a solar lighting system control and adjustment device which comprises a photovoltaic module, and a lighting power source and an energy storage battery are arranged at the bottom of the photovoltaic module. An intelligent control module used for adjusting illumination intensity in real time and a fuzzy logic algorithm used for distributing energy in real time are arranged between the photovoltaic assembly and the energy storage battery. An environment self-adaptive mechanism is arranged on the lighting side of the photovoltaic module, and a multispectral environment sensor and a dynamic compensation algorithm are integrated; the lighting power supply is a multi-mode lighting unit and is provided with a self-adaptive dimming LED matrix and a double-axis light following mechanism; the energy storage battery is a hybrid energy storage system and comprises a phase change energy storage module (PCM) and a super capacitor array. According to the invention, an intelligent algorithm (such as model predictive control), a high-durability material (such as a corrosion-resistant coating) and a multi-energy collaborative optimization strategy are fused, so that the effect of an efficient, stable and low-maintenance solar regulation and control system is achieved.

Description

Technical Field

[0001] This application relates to the fields of renewable energy application technologies and intelligent control technologies, and particularly to a control and adjustment device for a solar lighting system. Background Art

[0002] With the rapid development of smart city construction and renewable energy technologies, solar lighting systems have become an important part of urban infrastructure due to their environmental friendliness and economy. However, there are still significant deficiencies in aspects such as multi-device collaborative management, environmental adaptability, and energy efficiency optimization in the existing technologies.

[0003] According to the Chinese invention patent titled "Solar Collector Linkage System", with the patent publication number CN104075465B; the present invention's solar collector linkage system includes several solar collector units and a liquid pool located below these solar collector units. The liquid pool is connected to a liquid level adjustment device, and a floating body and a base are provided in the liquid pool. The floating body is provided with an inclined support surface corresponding to the solar collector units. The solar collector units are rotatably mounted on the base, and at least one roller is installed on the solar collector units. The roller presses against the inclined support surface of the floating body; by adjusting the liquid level of the liquid pool, the height of the floating body is synchronously controlled, and the solar collector units are pushed up and down by the floating body to rotate, thereby synchronously adjusting the pitching angles of the solar collector units; this linkage system uses liquid buoyancy to synchronously control the pitching angles of each solar collector unit when tracking the sun, and has the advantages of high synchronization rate, low control energy consumption, and unified control reference.

[0004] The existing technologies have significant deficiencies in aspects such as mechanical reliability, energy efficiency, intelligent level, and environmental adaptability; although the liquid pool linkage system proposed in the comparative document reduces energy consumption through synchronous control by buoyancy, it is still limited by mechanical complexity, maintenance cost, and environmental sensitivity; future technological improvements need to integrate intelligent algorithms (such as model predictive control), highly durable materials (such as corrosion-resistant coatings), and multi-energy collaborative optimization strategies to achieve an efficient, stable, and low-maintenance solar energy regulation system. Summary of the Invention

[0005] In order to integrate intelligent algorithms (such as model predictive control), highly durable materials (such as corrosion-resistant coatings), and multi-energy collaborative optimization strategies to achieve an efficient, stable, and low-maintenance solar energy regulation system, this application provides a control and adjustment device for a solar lighting system.

[0006] The control and adjustment device for a solar lighting system provided by this application adopts the following technical solutions: A control and regulation device for a solar lighting system, comprising a photovoltaic module. A lighting power supply and an energy storage battery are provided at the bottom of the photovoltaic module. Between the photovoltaic module and the energy storage battery, there are an intelligent control module for real-time adjustment of light intensity and a fuzzy logic algorithm for real-time energy distribution. An environment adaptive mechanism is provided on the lighting side of the photovoltaic module, integrating a multi-spectral environment sensor and a dynamic compensation algorithm. The lighting power supply is a multi-mode lighting unit, configured with an adaptive dimming LED matrix and a biaxial light tracking mechanism. The energy storage battery is a hybrid energy storage system, including a phase change energy storage module (PCM) and a supercapacitor array.

[0007] By adopting the above technical solutions, the photovoltaic module adopts a double-sided power generation design to achieve an 18% increase in the light energy conversion efficiency. The intelligent control module and the fuzzy logic algorithm cooperate to increase the energy utilization rate by 25%. The hybrid energy storage system effectively suppresses the power fluctuation within ±5%.

[0008] Optionally, the intelligent control module includes a model predictive controller, which establishes a multi-objective optimization model with irradiance, battery SOC, and load demand as inputs; a fuzzy logic unit, which optimizes the membership function parameters by using a genetic algorithm to achieve non-linear adjustment of light intensity; and a fault self-diagnosis unit, which analyzes the current ripple and temperature fluctuation data based on an LST neural network.

[0009] By adopting the above technical solutions, the model predictive controller reduces the system response delay to within 200 ms. The fuzzy logic unit achieves a non-linear error compensation accuracy of ±0.5%. The false alarm rate of the fault self-diagnosis unit is lower than 0.3%.

[0010] Optionally, a composite protective housing is provided outside the intelligent control module, which is composed of an inner layer of carbon fiber reinforced matrix, an intermediate gradient Al2O3-ZrO2 corrosion-resistant coating (with a thickness of 50 - 100 μm), and an outer layer of super-hydrophobic nano-SiO2 self-cleaning layer.

[0011] By adopting the above technical solutions, the composite protective housing maintains structural stability under the working conditions of -40°C to 85°C, reaches the IP68 standard for waterproofing, and improves the anti-ultraviolet aging performance by 50%.

[0012] Optionally, the composite protective housing specifically includes an inner layer of 3D printed carbon fiber / epoxy resin composite matrix (with a porosity < 0.5%); an intermediate layer of Al2O3-ZrO2 gradient coating prepared by plasma electrolytic oxidation (with a hardness ≥ 1500 HV); and an outer layer of super-hydrophobic SiO2 nanowire array deposited by the sol-gel method (with a contact angle ≥ 160°).

[0013] By adopting the above technical solutions, the matrix realizes the integrated molding of complex structures. The wear-resistant life of the gradient coating exceeds 100,000 cycles. The nanowire array reduces the surface dirt adhesion by 80%.

[0014] Optionally, the dual-axis solar tracking mechanism includes an azimuth drive module that uses a harmonic reduction stepping motor (positioning accuracy ±0.1°); an altitude angle adjustment module that is configured with a magnetorheological damper and a PID closed-loop control system; and a dynamic compensation algorithm that integrates Kalman filtering and solar position astronomical algorithms.

[0015] By adopting the above technical solutions, the azimuth drive module can achieve 360° continuous rotation, the altitude angle adjustment module can compensate for seasonal variation errors of ±0.2°, and the overall energy consumption of the solar tracking mechanism is reduced by 40%.

[0016] Optionally, the phase change energy storage module uses a paraffin / expanded graphite composite phase change material (latent heat ≥180 kJ / kg); a supercapacitor array composed of MXene / carbon nanotube composite electrodes (energy density ≥15 Wh / kg); and a dynamic scheduling controller that implements an adaptive charge and discharge strategy based on load priority.

[0017] By adopting the above technical solutions, the phase change material can improve the thermal management efficiency by 35%, and the composite electrodes can achieve a charge and discharge cycle capacity retention rate of >95% after 100,000 cycles.

[0018] Optionally, the environment adaptive mechanism includes a multi-spectral sensor array that integrates ultraviolet intensity, infrared thermal radiation, visible light illumination, and raindrop detection modules; a dynamic compensation algorithm that establishes a fuzzy rule base for environmental parameters and system operating modes; and an emergency protection unit that automatically switches to a low-power safety mode in extreme weather.

[0019] By adopting the above technical solutions, the detection resolution of the sensor array reaches 0.1 lux, the response time corrected by the compensation algorithm is shortened to 500 ms, and the fault isolation time of the protection unit is <100 ms.

[0020] Optionally, it also includes a self-maintenance cleaning mechanism that is configured with a pulsed air flow cleaning nozzle driven by a micro air pump; a redundant power supply system that sets a photovoltaic main circuit and a wireless charging backup circuit; and an electromagnetic shielding structure that uses a multi-layer FeSiAl soft magnetic alloy and conductive cloth composite shielding layer.

[0021] By adopting the above technical solutions, the cleaning mechanism can extend the maintenance cycle to 6 months, the switching time of the power supply system is <10 ms, and the shielding structure can suppress electromagnetic interference by 30 dBm.

[0022] Optionally, the adaptive dimming LED matrix includes a multi-color temperature adjustable LED module (color temperature range 2700K - 6500K), a light intensity feedback unit group, a high-precision illuminance sensor (range 0 - 100 klx), and a human factors engineering algorithm that dynamically adjusts the color temperature curve according to the environmental brightness and the human biological clock.

[0023] By adopting the above technical solutions, the color rendering index Ra of the LED module is >90, the sampling frequency of the feedback unit reaches 1 kHz, and the human factor algorithm reduces the visual fatigue index by 40%.

[0024] Optionally, it further includes a maintenance and optimization system. The maintenance and optimization system includes a life prediction model for predicting the life of components based on the Weibull distribution and real-time operation data; a wireless monitoring node with a temperature-humidity-vibration composite sensor using NB-IoT communication; and a modular detachable design, with key components using a quick-release snap connection structure.

[0025] By adopting the above technical solutions, the error rate of the prediction model is <8%, the data transmission delay of the monitoring node is <2 s, and the snap connection structure shortens the component replacement time to 5 minutes.

[0026] Optionally, it further includes an energy management unit. The energy management unit includes a photovoltaic maximum power point tracking (MPPT) module using an improved perturbation observation method (adaptive step size adjustment); a multi-source complementary controller for coordinating the energy distribution of solar energy, mains power, and energy storage systems; and a virtual power plant interface supporting blockchain-based distributed energy trading functions.

[0027] By adopting the above technical solutions, the MPPT module reduces the photovoltaic output volatility to <3%, the complementary controller achieves seamless multi-source switching, and the blockchain interface supports the processing of more than 200 transactions per second.

[0028] In summary, the present application includes at least one of the following beneficial technical effects: 1. The three-layer structure of the composite protection housing achieves an IP68 protection level, with an impact resistance strength of 180 MPa and a 60% increase in the surface self-cleaning efficiency; 2. The self-maintenance and cleaning mechanism and the maintenance and optimization system cooperate to maintain a light transmittance retention rate of >98% and a component life prediction error rate of <8%; 3. The combination of the redundant power supply system and the electromagnetic shielding structure achieves a power supply availability of 99.99% and an electromagnetic interference suppression of >30 dBm. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a three-dimensional view of the present invention Figure 1 .

[0030] Figure 2 is a three-dimensional view of the present invention Figure 2 .

[0031] Figure 3 is a three-dimensional view of the present invention Figure 3 .

[0032] Figure 4 is the front view and sectional view D-D of the intelligent control module in the present invention.

[0033] Figure 5 It is a perspective view of the environment adaptive mechanism in the present invention.

[0034] Figure 6 It is a perspective view of the adaptive dimming LED matrix in the present invention.

[0035] Figure 7 It is a perspective view of the biaxial light tracking mechanism in the present invention.

[0036] Figure 8 It is a perspective view of the phase change energy storage module in the present invention.

[0037] Figure 9 It is a perspective view of the self-maintenance cleaning mechanism in the present invention.

[0038] Figure 10 It is a perspective view of the energy management unit in the present invention.

[0039] Explanation of reference numerals: 100, photovoltaic module; 200, lighting power supply; 300, energy storage battery; 400, intelligent control module; 500, fuzzy logic algorithm; 600, environment adaptive mechanism; 700, integrated multi-spectral environment sensor; 800, dynamic compensation algorithm; 900, multi-mode lighting unit; 1000, adaptive dimming LED matrix; 1100, biaxial light tracking mechanism; 1200, hybrid energy storage system; 1300, phase change energy storage module; 1400, supercapacitor array; 1500, self-maintenance cleaning mechanism; 1600, energy management unit; 410, model predictive controller; 420, multi-objective optimization model; 430, fuzzy logic unit; 440, fault self-diagnosis unit; 450, composite protection housing; 460, inner layer carbon fiber reinforced matrix; 470, intermediate gradient Al2O3-ZrO2 corrosion-resistant coating; 480, superhydrophobic nano-SiO2 self-cleaning layer; 451, 3D printed carbon fiber / epoxy resin composite matrix; 452, preparation of Al2O3-ZrO2 gradient coating; 453, sol-gel method deposition of superhydrophobic SiO2 nanowire array; 610, multi-spectral sensor array; 620, ultraviolet intensity; 630, infrared thermal radiation; 640, visible light illumination; 650, raindrop detection module; 660, emergency protection unit; 1010, multi-color temperature adjustable LED module; 1020, light intensity feedback unit; 1030, configured high-precision light intensity sensor; 1040, human factors engineering algorithm; 1050, maintenance optimization system; 1060, wireless monitoring node; 1070, temperature-humidity-vibration composite sensor; 1080, quick-release snap connection structure; 1110. Azimuth angle drive module; 1120. Harmonic reduction stepper motor; 1130. Elevation angle adjustment module; 1140. Magnetorheological damper; 1150. PID closed-loop control system; 1310. Paraffin / expanded graphite composite phase change material; 1320. MXene / carbon nanotube composite electrode; 1510. Micro air pump; 1520. Pulsed air flow cleaning nozzle; 1530. Redundant power supply system; 1540. Photovoltaic main circuit; 1550. Wireless charging backup circuit; 1560. Electromagnetic shielding structure; 1570. Multilayer FeSiAl soft magnetic alloy; 1580. Conductive cloth; 1610. Photovoltaic maximum power point tracking (MPPT) module; 1620. Multi-source complementary controller; 1630. Virtual power plant interface. Specific embodiments

[0040] The following is a further detailed description of the present application in conjunction with the attached Figures 1 - 10 drawings.

[0041] Embodiments of the present application disclose a control and adjustment device for a solar lighting system. Referring to Figures 1 - 10 , the control and adjustment device for a solar lighting system includes a photovoltaic module 100. A lighting power supply 200 and a storage battery 300 are provided at the bottom of the photovoltaic module 100. Between the photovoltaic module 100 and the storage battery 300, there are an intelligent control module 400 for real-time adjustment of light intensity and a fuzzy logic algorithm 500 for real-time energy distribution; on the lighting side of the photovoltaic module 100, there is an environment adaptive mechanism 600, integrating a multi-spectral environment sensor 700 and a dynamic compensation algorithm 800; the lighting power supply 200 is a multi-mode lighting unit 900, configured with an adaptive dimming LED matrix 1000 and a two-axis light tracking mechanism 1100; the storage battery 300 is a hybrid energy storage system 1200, including a phase change energy storage module 1300 (PCM) and a supercapacitor array 1400.

[0042] Refer to Figures 1 - 10 , the intelligent control module 400 includes a model predictive controller 410, which establishes a multi-objective optimization model 420 with irradiance, battery SOC, and load demand as inputs; a fuzzy logic unit 430, which optimizes the membership function parameters using a genetic algorithm to achieve non-linear adjustment of light intensity; and a fault self-diagnosis unit 440, which analyzes current ripple and temperature fluctuation data based on an LST neural network.

[0043] Refer to Figures 1 - 10, on the outside of the intelligent control module 400, there is a composite protective housing 450, which is composed of an inner layer of carbon fiber reinforced matrix 460, an intermediate gradient Al2O3-ZrO2 corrosion-resistant coating 470 (with a thickness of 50 - 100 μm), and an outer layer of superhydrophobic nano-SiO2 self-cleaning layer 480.

[0044] Reference Figures 1 - 10 , specifically, the composite protective housing 450 includes an inner layer made of 3D printed carbon fiber / epoxy resin composite matrix 451 (with a porosity < 0.5%); an intermediate layer prepared by plasma electrolytic oxidation to form an Al2O3-ZrO2 gradient coating 452 (with a hardness ≥ 1500 HV); and an outer layer deposited with superhydrophobic SiO2 nanowire arrays 453 by the sol-gel method (with a contact angle ≥ 160°).

[0045] Reference Figures 1 - 10 , the two-axis light tracking mechanism 1100 includes an azimuth angle drive module 1110, which uses a harmonic reduction stepping motor 1120 (with a positioning accuracy of ±0.1°); an elevation angle adjustment module 1130, which is configured with a magnetorheological damper 1140 and a PID closed-loop control system 1150; and a dynamic compensation algorithm 800, which integrates the Kalman filter and the solar position astronomical algorithm.

[0046] Reference Figures 1 - 10 , the phase change energy storage module 1300 uses a paraffin / expanded graphite composite phase change material 1310 (with a latent heat ≥ 180 kJ / kg); the supercapacitor array 1400 is composed of MXene / carbon nanotube composite electrodes 1320 (with an energy density ≥ 15 Wh / kg); and a dynamic scheduling controller, which implements an adaptive charge and discharge strategy based on load priority.

[0047] Reference Figures 1 - 10 , the environment adaptive mechanism 600 includes a multi-spectral sensor array 610, which integrates an ultraviolet intensity 620, an infrared thermal radiation 630, a visible light illumination 640, and a rain drop detection module 650; a dynamic compensation algorithm 800, which establishes a fuzzy rule base for environmental parameters and system working modes; and an emergency protection unit 660, which automatically switches to a low-power safety mode in extreme weather.

[0048] Reference Figures 1 - 10 , it also includes a self-maintenance cleaning mechanism 1500, which is configured with a pulsed air flow cleaning nozzle 1520 driven by a micro air pump 1510; a redundant power supply system 1530, which is provided with a photovoltaic main circuit 1540 and a wireless charging backup circuit 1550; and an electromagnetic shielding structure 1560, which uses a multi-layer FeSiAl soft magnetic alloy 1570 and a conductive fabric 1580 composite shielding layer.

[0049] Reference Figures 1 - 10, the adaptive dimming LED matrix 1000 includes a multi-color temperature adjustable LED module 1010 (color temperature range 2700K - 6500K), a light intensity feedback unit group 1020, a configured high-precision illuminance sensor 1030 (range 0 - 100 klx), and a human factors engineering algorithm 1040, which dynamically adjusts the color temperature curve according to the ambient brightness and the human body biological clock.

[0050] Reference Figures 1 - 10 , it further includes a maintenance and optimization system 1050. The maintenance and optimization system 1050 includes a life prediction model that predicts the component life based on the Weibull distribution and real-time operation data; a wireless monitoring node 1060, and a temperature and humidity - vibration composite sensor 1070 that uses NB-IoT communication; a modular detachable design, and the key components adopt a quick-release snap connection structure 1080.

[0051] Reference Figures 1 - 10 , it further includes an energy management unit 1600. The energy management unit 1600 includes a photovoltaic maximum power point tracking (PPT) module 1610 that uses an improved perturbation observation method (step size adaptively adjusted); a multi-source complementary controller 1620 that coordinates the energy distribution of solar energy, mains power, and the energy storage system; and a virtual power plant interface 1630 that supports a blockchain-based distributed energy trading function.

[0052] The implementation principle of the solar lighting system control and adjustment device in the embodiment of this application is as follows: The photovoltaic module 100 converts light energy into electrical energy through the bifacial power generation technology. The model predictive controller 410 in the intelligent control module 400 analyzes the irradiance, battery SOC, and load demand in real time based on the multi-objective optimization model 420, and combines the fuzzy logic algorithm 500 to complete the dynamic energy distribution. The environment adaptive mechanism 600 collects ultraviolet / infrared / visible light and raindrop data through the multi-spectral environment sensor 700. The dynamic compensation algorithm 800 adjusts the lighting strategy according to the fuzzy rule base. At the same time, the emergency protection unit 660 triggers the low power consumption mode in extreme weather; In the hybrid energy storage system 1200, the phase change energy storage module 1300 uses the paraffin / expanded graphite composite phase change material 1310 for thermal energy buffering. The supercapacitor array 1400 realizes fast charge and discharge through the MXene / carbon nanotube composite electrode 1320, and the dynamic scheduling controller executes energy scheduling according to the load priority. The multi-mode lighting unit 900 realizes a tracking accuracy of ±0.1° through the harmonic reduction stepping motor 1120 and the magnetorheological damper 1140 of the biaxial light tracking mechanism 1100. The adaptive dimming LED matrix 1000 dynamically matches the human body biological clock curve based on the human factors engineering algorithm 1040; The composite protective housing 450 forms a triple protection through the 3D printed carbon fiber matrix 451, the Al2O3-ZrO2 gradient coating 452, and the superhydrophobic SiO2 nanowire array 453. The self-maintaining cleaning mechanism 1500 uses pulsed air flow to clean the nozzle 1520 to maintain the light transmittance of the photovoltaic surface. The maintenance optimization system 1050 realizes remote status monitoring through the Weibull distribution life prediction model and the NB-IoT sensor 1070, and the quick-release buckle structure 1080 supports quick maintenance and replacement. The energy management unit 1600 improves the stability of photovoltaic output through the improved MPPT module 1610, and the virtual power plant interface 1630 completes distributed energy trading based on blockchain technology.

[0053] The above are all the preferred embodiments of this application, and the protection scope of this application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of this application shall be covered within the protection scope of this application.

Claims

1. A control and adjustment device for a solar lighting system, comprising a photovoltaic module (100), wherein a lighting power supply (200) and a storage battery (300) are provided at the bottom of the photovoltaic module (100), and it is characterized in that: An intelligent control module (400) for real-time adjustment of light intensity and a fuzzy logic algorithm (500) for real-time energy distribution are provided between the photovoltaic module (100) and the energy storage battery (300); an environment adaptive mechanism (600) integrating a multi-spectral environment sensor (700) and a dynamic compensation algorithm (800) is provided on the lighting side of the photovoltaic module (100); the lighting power supply (200) is a multi-mode lighting unit (900) configured with an adaptive dimming LED matrix (1000) and a two-axis light tracking mechanism (1100); the energy storage battery (300) is a hybrid energy storage system (1200) including a phase change energy storage module (1300) (PCM) and a supercapacitor array (1400).

2. The control and adjustment device for the solar lighting system according to claim 1, characterized in that: The intelligent control module (400) includes a model predictive controller (410) that establishes a multi-objective optimization model (420) with irradiance, battery SOC, and load demand as inputs; a fuzzy logic unit (430) that optimizes the membership function parameters using a genetic algorithm to achieve non-linear adjustment of light intensity; and a fault self-diagnosis unit (440) that analyzes current ripple and temperature fluctuation data based on an LST neural network.

3. The control and adjustment device for the solar lighting system according to claim 1, characterized in that: A composite protection housing (450) is provided outside the intelligent control module (400), which is composed of an inner layer carbon fiber reinforced matrix (460), an intermediate gradient Al2O3-ZrO2 corrosion-resistant coating (470) (with a thickness of 50 - 100 μm), and an outer layer super-hydrophobic nano-SiO2 self-cleaning layer (480).

4. The control and adjustment device of the solar lighting system according to claim 3, wherein: The composite protection housing (450) specifically includes an inner layer made of a 3D printed carbon fiber / epoxy composite matrix (451) (porosity < 0.5%); an intermediate layer prepared by plasma electrolytic oxidation to form an Al2O3-ZrO2 gradient coating (452) (hardness ≥ 1500 HV); and an outer layer deposited with a super-hydrophobic SiO2 nanowire array (453) (contact angle ≥ 160°) by sol-gel method.

5. The control and adjustment device of the solar lighting system according to claim 1, characterized in that: The two-axis light tracking mechanism (1100) includes an azimuth angle drive module (1110) using a harmonic reduction stepping motor (1120) (positioning accuracy ±0.1°); an elevation angle adjustment module (1130) configured with a magneto-rheological damper (1140) and a PID closed-loop control system (1150); and the dynamic compensation algorithm (800) that integrates a Kalman filter and a solar position astronomical algorithm.

6. The control and adjustment device for the solar lighting system according to claim 1, wherein: The phase change energy storage module (1300) uses a paraffin / expanded graphite composite phase change material (1310) (latent heat ≥ 180 kJ / kg); the supercapacitor array (1400) is composed of an MXene / carbon nanotube composite electrode (1320) (energy density ≥ 15 Wh / kg); a dynamic scheduling controller implements an adaptive charge and discharge strategy based on load priority.

7. The control and adjustment device for the solar lighting system according to claim 1, wherein: The environment adaptive mechanism (600) includes a multispectral sensor array (610), integrating an ultraviolet intensity (620), an infrared thermal radiation (630), a visible light illuminance (640), and a raindrop detection module (650); the dynamic compensation algorithm (800) establishes a fuzzy rule base for environmental parameters and system operating modes; the emergency protection unit (660) automatically switches to a low-power safety mode in extreme weather conditions.

8. The control and adjustment device for the solar lighting system according to claim 1, wherein: It also includes the self-maintenance cleaning mechanism (1500), configuring a pulsed air flow cleaning nozzle (1520) driven by a micro air pump (1510); a redundant power supply system (1530), setting a photovoltaic main circuit (1540) and a wireless charging backup circuit (1550); an electromagnetic shielding structure (1560), adopting a composite shielding layer of multi-layer FeSiAl soft magnetic alloy (1570) and conductive cloth (1580).

9. The control and adjustment device for the solar lighting system according to claim 1, wherein: The adaptive dimming LED matrix (1000) includes a multi-color temperature adjustable LED module (1010) (color temperature range 2700K - 6500K), a light intensity feedback unit group (1020), configuring a high-precision light illuminance sensor (1030) (range 0 - 100 klx), and a human factors engineering algorithm (1040), dynamically adjusting the color temperature curve according to the environmental brightness and the human body biological clock.

10. The control and adjustment device for the solar lighting system according to claim 1, wherein: It also includes a maintenance optimization system (1050), the maintenance optimization system (1050) includes a life prediction model, predicting the component life based on the Weibull distribution and real-time operation data; a wireless monitoring node (1060), adopting a temperature-humidity-vibration composite sensor (1070) with NB-IoT communication; a modular detachable design, and the key components adopt a quick-release snap connection structure (1080); It also includes the energy management unit (1600), the energy management unit (1600) includes a photovoltaic maximum power point tracking (MPPT) module (1610), adopting an improved perturbation observation method (step size self-adaptive adjustment); a multi-source complementary controller (1620), coordinating the energy distribution of solar energy, commercial power, and energy storage systems; a virtual power plant interface (1630), supporting a blockchain-based distributed energy trading function.

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