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CN-121979292-A - Intelligent light-following and energy-collecting method of outdoor lighting lamp self-adapting to solar track

CN121979292ACN 121979292 ACN121979292 ACN 121979292ACN-121979292-A

Abstract

The application discloses an intelligent light tracking and energy collecting method of an outdoor lighting lamp with a self-adaptive solar track, which relates to the technical field of solar lighting and comprises the steps of obtaining geographic coordinates and real-time information of the outdoor lighting lamp and meteorological data, obtaining a theoretical solar position through astronomical algorithm and meteorological correction, carrying out actual measurement by utilizing a multi-directional sensor array, obtaining an accurate target coordinate through self-adaptive weighted fusion, driving a photovoltaic panel to align by taking the coordinate as a reference, carrying out local power optimizing by an intelligent disturbance observation method, and carrying out self-adaptive switching among three modes of active light tracking, fixed angle and dormancy according to the environment illumination and energy storage state. Through the combination of theoretical prediction and real-time perception, the combination of global alignment and local optimization and the cooperation of multi-mode self-adaptive management, the synchronous improvement of the sun tracking precision and the net energy return of the system in a complex outdoor environment is realized, the stable work can be kept in complex weather such as cloudiness, and the energy collection efficiency is improved.

Inventors

  • CHEN CONG
  • FANG ZHENFENG

Assignees

  • 中山市谱创照明有限公司

Dates

Publication Date
20260505
Application Date
20260203

Claims (10)

  1. 1. An intelligent light-following energy-collecting method of an outdoor lighting lamp adapting to a solar track is characterized by comprising the following steps: s1, acquiring geographic coordinates and real-time information of an outdoor lighting lamp and meteorological data; S2, calculating a theoretical azimuth angle and an uncorrected theoretical altitude angle of the sun by adopting an astronomical algorithm based on the geographic coordinates and real-time information of the outdoor lighting lamp, and correcting the uncorrected theoretical altitude angle by using an atmospheric refraction correction model to generate corrected theoretical position prediction data; s3, directly measuring the incident angle of the sun through a multi-directional solar radiation sensor array arranged on the photovoltaic panel, wherein the multi-directional solar radiation sensor array comprises a plurality of narrow-field angle radiation sensing units with different fixed space orientations, and calculating the altitude angle and azimuth angle of the sun as actual measurement data of the sun position by comparing real-time radiation intensity signals output by the sensing units; S4, carrying out multi-source information fusion processing on the theoretical position prediction data and the measured data to obtain a solar target position coordinate; S5, taking the solar target position coordinate as a power optimizing reference, taking the maximized system instantaneous output power as an optimizing target, adopting an on-line optimizing algorithm based on disturbance observation to dynamically solve the optimal rotation direction of the photovoltaic panel, and driving the photovoltaic panel to execute angle adjustment; and S6, adaptively switching an active light following mode, a fixed angle mode or a dormant mode according to the current illumination intensity and the energy storage state, and adjusting a control strategy of the disturbance observation algorithm in the S5 based on a switching result.
  2. 2. The intelligent light-following energy-collecting method for the outdoor lighting lamp with the self-adaptive solar track as claimed in claim 1, wherein the geographic coordinates and the real-time information are obtained through a positioning module and a high-precision RTC clock chip; meteorological data is collected by a meteorological sensor, and the meteorological data comprises temperature, humidity and atmospheric pressure data.
  3. 3. The intelligent light-following energy-collecting method for the outdoor lighting lamp with the self-adaptive solar track as claimed in claim 2, wherein the astronomical algorithm in S2 is an SPA solar position algorithm.
  4. 4. The intelligent light-following energy-collecting method for the outdoor lighting lamp with the self-adaptive solar track as claimed in claim 3, wherein the atmospheric refraction correction model in S2 is a simplified refraction correction model based on local weather parameters; the correction amount is expressed as: ; Wherein, the For the ambient air pressure to be the same, In order to be at the temperature of the environment, For an uncorrected theoretical height angle, Is an empirical coefficient.
  5. 5. The intelligent light-following energy-collecting method for the outdoor lighting lamp adapting to the solar track as set forth in claim 4, wherein the resolving process comprises the following steps: s31, reading radiation intensity values of all the sensing units in real time; S32, identifying a main sensing unit with the highest radiation intensity value and a secondary sensing unit with the next highest radiation intensity value; s33, calculating a unit vector of the incident direction of the sun through a linear interpolation algorithm according to the known space directional vectors and the intensity ratio of the main sensing unit to the auxiliary sensing unit; and S34, converting the unit vector into an altitude angle and an azimuth angle relative to a photovoltaic panel coordinate system.
  6. 6. The intelligent light-following energy-collecting method for the outdoor lighting lamp with the self-adaptive solar track as claimed in claim 5, wherein the multi-source information fusion processing in S4 adopts a self-adaptive weighted fusion algorithm, wherein the weight of theoretical position prediction data And weight of measured data Dynamically adjusting according to the following steps: ; ; Wherein, the For the evaluation value based on the stability of the meteorological data, Is determined by the ratio of the highest radiation intensity in the sensor array to the root mean square of all signals, and And (3) with Are all greater than 0.
  7. 7. The intelligent light-following energy-collecting method for the outdoor lighting lamp adapting to the solar track as set forth in claim 6, wherein the step S5 specifically includes: s51, taking the position coordinates of the solar target as initial alignment targets, and driving the photovoltaic panel to rotate to a space orientation corresponding to the coordinates; S52, performing on-line optimization based on a disturbance observation algorithm, wherein the on-line optimization comprises the steps of applying preset angle disturbance in a neighborhood of the current orientation, monitoring and comparing the output power of the photovoltaic panel before and after disturbance in real time, determining the next disturbance direction according to the power change trend, and enabling the output power to evolve towards an increasing direction; and S53, continuously recording the actual power change rate of the photovoltaic panel after angle adjustment, comparing the actual power change rate with the power change rate predicted based on the solar target position coordinate, and if the actual power tracking effect is continuously lower than the expected threshold value, generating a fusion strategy adjustment signal and feeding back to the step S4.
  8. 8. The intelligent light-following energy-collecting method of an outdoor lighting lamp with a self-adaptive solar track as claimed in claim 7, wherein the step S53 of generating a fusion strategy adjustment signal is fed back to the step S4, and specifically comprises: if the ratio of the actual power change rate to the predicted power change rate is β,0< β <1, it is determined that the reliability of the actual measured data is reduced, and then a command is generated to reduce the weight of the actual measured data in step S4.
  9. 9. The intelligent light-following energy-collecting method of an outdoor lighting lamp with a self-adaptive solar track as claimed in claim 8, wherein the self-adaptive switching and target adjustment in the step S6 specifically comprises: In the mode, S5 starts a disturbance observation algorithm based on an adaptive variable step strategy with the aim of maximizing instantaneous output power, wherein the initial disturbance step is delta 1; When the ambient illumination intensity is between the threshold values L2 and L1, L2 is smaller than L1, or the energy storage charge state is higher than C1, a fixed angle mode is started, in the mode, the photovoltaic panel keeps towards a fixed optimal angle calculated according to historical data or a theoretical track of the same day, the optimization target in the step S5 is adjusted to minimize rotation energy consumption, and a disturbance observation algorithm is switched to a protective disturbance mode; and enabling a sleep mode when the ambient light intensity is lower than L2 or in a night period, wherein the photovoltaic panel rotates to a safe parking position, and the optimization process of the step S5 is suspended.
  10. 10. The intelligent light-following energy-collecting method for the outdoor lighting lamp adapting to the solar track according to claim 9, wherein the fixed optimal angle in the fixed angle mode is determined by the following manner: the average value of the altitude and azimuth of the theoretical solar track on the same day in the main power generation period is calculated, and the average value is taken as a fixed angle.

Description

Intelligent light-following and energy-collecting method of outdoor lighting lamp self-adapting to solar track Technical Field The application relates to the technical field of solar illumination, in particular to an intelligent light-following and energy-collecting method of an outdoor illumination lamp with a self-adaptive solar track. Background With the promotion of the Internet of things and smart city construction, the outdoor intelligent lighting system is rapidly developed towards the direction of high efficiency, self-maintenance, low carbon and environmental protection. Solar energy is the most common renewable energy source and is a core for driving the equipment to realize energy self-supply. However, the output power of solar panels is highly dependent on their relative angle to the incident rays of the sun, and conventional stationary mounting results in an average energy capture efficiency of less than 30% throughout the day. In order to improve the energy utilization rate, an outdoor lighting lamp with a sun tracking function has become a key direction for industrial technology upgrading. The current mainstream sun tracking technology has obvious technical bottlenecks that an open-loop control system based on a pure astronomical algorithm cannot respond to real-time deviation caused by atmospheric refraction, mechanical structure deformation and the like, tracking precision is difficult to ensure in long-term operation, and a closed-loop system relying on a single photosensitive sensor is weak in environment interference resistance and is easily misled by cloud layers, building reflected light or shielding of the system, so that tracking is unstable and even fails. More importantly, the existing scheme only pursues instantaneous alignment, neglects the energy consumption cost of the tracking driving system, lacks global optimization of the final target of system net energy benefit under variable illumination conditions, and is difficult to realize stable and efficient energy acquisition under complex meteorological conditions. Disclosure of Invention In order to solve the problems, the application provides the intelligent light-following energy-collecting method of the outdoor lighting lamp with the self-adaptive solar track, which realizes high-energy capture under the weather of the whole day through the cooperative control of the accurate perception and intelligent optimization decision of multi-source information fusion, thereby obviously improving the overall energy utilization efficiency and the operation reliability of the system under the complex outdoor condition. In order to achieve the above purpose, the application provides an intelligent light-following energy-collecting method of an outdoor lighting lamp adapting to a solar track, which comprises the following steps: s1, acquiring geographic coordinates and real-time information of an outdoor lighting lamp and meteorological data; S2, calculating a theoretical azimuth angle and an uncorrected theoretical altitude angle of the sun by adopting an astronomical algorithm based on the geographic coordinates and real-time information of the outdoor lighting lamp, and correcting the uncorrected theoretical altitude angle by using an atmospheric refraction correction model to generate corrected theoretical position prediction data; s3, directly measuring the incident angle of the sun through a multi-directional solar radiation sensor array arranged on the photovoltaic panel, wherein the multi-directional solar radiation sensor array comprises a plurality of narrow-field angle radiation sensing units with different fixed space orientations, and calculating the altitude angle and azimuth angle of the sun as actual measurement data of the sun position by comparing real-time radiation intensity signals output by the sensing units; S4, carrying out multi-source information fusion processing on the theoretical position prediction data and the measured data to obtain a solar target position coordinate; S5, taking the solar target position coordinate as a power optimizing reference, taking the maximized system instantaneous output power as an optimizing target, adopting an on-line optimizing algorithm based on disturbance observation to dynamically solve the optimal rotation direction of the photovoltaic panel, and driving the photovoltaic panel to execute angle adjustment; and S6, adaptively switching an active light following mode, a fixed angle mode or a dormant mode according to the current illumination intensity and the energy storage state, and adjusting a control strategy of the disturbance observation algorithm in the S5 based on a switching result. Preferably, the geographic coordinates and the real-time information are obtained through a positioning module and a high-precision RTC clock chip; meteorological data is collected by a meteorological sensor, and the meteorological data comprises temperature, humidity and atmospheric pressu