Solar street lamp light sensation tracking method and system

Abstract

The invention relates to the technical field of solar energy, in particular to a solar street lamp light sensation tracking method and system. The method comprises the following steps: acquiring light intensity information of all groups acquired by a light sensing system for sensing a light source on the solar street lamp; based on the light intensity information of all the groups, determining the proportion value of the light intensity information of each group; comparing the proportion value of each group of light intensity information with a preset proportion value to obtain azimuth information of sunlight; and obtaining a tracking result for driving the solar panel to face the sun based on the azimuth information of the sunlight. The objective of the invention is to solve the problem that in the prior art, real direct sunlight and interference light are difficult to accurately distinguish, misjudgment is easy to generate, and a solar panel cannot accurately and effectively receive the direct sunlight.

Description

Technical Field

[0001] The present invention relates to the field of solar energy technology, and in particular to a solar streetlight light sensing tracking method and system. Background Art

[0002] Solar street light systems collect solar energy during the day through solar panels on top of them, storing the energy in internal batteries for nighttime lighting. Existing solar street lights are equipped with light-tracking devices to improve the efficiency of capturing daytime solar energy. These light-tracking devices consist of several photosensitive sensors and a drive mechanism. The sensors sense the direction and intensity of sunlight and transmit signals to a control core. The control core then instructs the drive mechanism to adjust the azimuth and elevation angles of the solar panels to ensure that the illuminated surface of the solar panels continuously faces the sun.

[0003] However, sunlight is easily partially blocked by roadside vegetation, buildings, and other objects. Traditional light-sensing tracking systems use photosensitive probes that simply seek the brightest point of light. This causes the solar panels to align less precisely with the sun's core, instead aligning them in a suboptimal direction. This directly reduces the amount of solar energy collected. Furthermore, dust, sand, bird droppings, and chemicals like acid rain adhere to the photosensitive probes, forming a layer of dirt on their surfaces. This dirt not only reduces the overall sensitivity of the photosensitive probe to light, but the uneven distribution of dirt also causes some areas of the probe to have much lower light transmittance than others. Consequently, contaminated photosensitive probes may transmit distorted light intensity and orientation information to the control core, preventing the tracking system from accurately locking onto the sun's direct light or causing tracking movements to become sluggish and hesitant. In complex lighting environments such as partial occlusion, probe contamination, and strong reflected light interference, existing light tracking devices find it difficult to accurately distinguish between real direct sunlight and interference light, which can easily lead to misjudgment. As a result, solar panels are unable to accurately and effectively receive direct sunlight, thereby limiting the energy collection capacity and reliability of solar street lights. Summary of the Invention

[0004] The purpose of the present invention is to provide a solar street light sensing tracking method and system to solve the problem that the existing technology is difficult to accurately distinguish between real direct sunlight and interference light, which is prone to misjudgment and causes the solar panels to be unable to accurately and effectively receive direct sunlight.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a solar street light sensing tracking method, comprising:

[0006] Obtain light intensity information of all groups collected by the light sensing system of the solar street lamp;

[0007] Based on the light intensity information of all groups, determining a ratio value of the light intensity information of each group;

[0008] Compare the ratio value of each set of light intensity information with the preset ratio value to obtain the direction information of the sunlight;

[0009] Based on the orientation information of the sunlight, a tracking result of driving the solar panel toward the sun is obtained.

[0010] Furthermore, the present application also proposes that after the step of determining the ratio value of each group of light intensity information based on the light intensity information of all groups, the method further includes:

[0011] Obtain blue light intensity information and ultraviolet light intensity information collected by the light sensing system of the solar street lamp;

[0012] Comparing the blue light intensity information with the ultraviolet light intensity information to obtain an ultraviolet light ratio value;

[0013] Comparing the UV light ratio value with the preset UV light threshold value to obtain an adjustment coefficient;

[0014] Based on the adjustment coefficient and the preset preliminary ratio value, a preset ratio value is determined.

[0015] Furthermore, the present application also proposes that the steps of obtaining the preset preliminary ratio value include:

[0016] Obtaining light intensity reference information and a standard ratio value of a reference surface with known reflectivity mounted on a solar panel;

[0017] determining a proportionality coefficient of the light intensity reference information based on the light intensity reference information;

[0018] The standard proportional value is adjusted using the proportional coefficient of the light intensity reference information to confirm the preset preliminary proportional value.

[0019] Furthermore, the present application also proposes that the steps of obtaining light intensity information of all groups collected by the light sensing system of the solar street lamp that perceives the light source include:

[0020] The light intensity information containing at least two different color light intensities collected by multiple groups of light sensing probes in the light sensing system of the solar street lamp is obtained.

[0021] Furthermore, the present application also proposes that before the step of adjusting the standard ratio value using the ratio coefficient of the light intensity reference information and confirming the preset preliminary ratio value, when the reference surface is contaminated by a mixture of multiple types of dust, the steps include:

[0022] Obtaining the intensity of at least three colors of sunlight reflected by the reference surface in a mixed pollution environment;

[0023] Based on the acquired intensities of the at least three colors of light, determining at least two groups of color light intensity ratios including a first color light intensity ratio and an auxiliary color light intensity ratio;

[0024] Obtaining a preset value of the first group of color light intensity ratios corresponding to the reference surface under the condition that the mixed pollution is not present, as the preset color light intensity ratio, and obtaining preset values ​​of the remaining groups of color light intensity ratios corresponding to the reference surface under the condition that the mixed pollution is not present;

[0025] Determining a correction factor according to a preset correspondence relationship based on a difference between the first color light intensity ratio and the preset color light intensity ratio, and a difference between the auxiliary color light intensity ratio and its preset value;

[0026] The light intensity reference information is corrected by using the correction factor to determine a proportional coefficient of the light intensity reference information.

[0027] Furthermore, the present application also proposes that the step of determining the correction factor according to a preset correspondence relationship between the difference between the first color light intensity ratio and the preset color light intensity ratio, and the difference between the auxiliary color light intensity ratio and its preset value includes:

[0028] Monitoring the change characteristics of the difference between the auxiliary color light intensity ratio and its preset value;

[0029] Based on the change characteristics, determining whether the pollution impact pattern represented by the preset corresponding relationship deviates from the actual pollution impact pattern reflected by the change characteristics, and obtaining a determination result;

[0030] If the judgment result shows deviation, adjusting the preset corresponding relationship to generate an adjusted corresponding relationship;

[0031] The correction factor is determined by using the adjusted corresponding relationship and according to the difference between the first color light intensity ratio and the preset color light intensity ratio, and the difference between the auxiliary color light intensity ratio and its preset value.

[0032] Furthermore, the present application also proposes that if the judgment result shows a deviation, the preset corresponding relationship is adjusted, and the steps of generating the adjusted corresponding relationship include:

[0033] If the judgment result shows deviation, obtaining a first response characteristic under a preset reference input that has been applied to determine the corresponding relationship of the correction factor after one adjustment;

[0034] comparing the first response characteristic with a pre-stored reference response characteristic, the reference response characteristic representing an expected state of the corresponding relationship when no accumulated error or drift caused by long-term iterative adjustment occurs, and determining a difference between the first response characteristic and the reference response characteristic;

[0035] If the difference exceeds a preset criterion, it is determined that the corresponding relationship after the one adjustment has accumulated an error that needs to be corrected;

[0036] When it is determined that the once-adjusted correspondence relationship has accumulated an error that needs to be corrected, a corrective adjustment is performed on the once-adjusted correspondence relationship with the goal of reducing the accumulated error, and the adjusted correspondence relationship is confirmed.

[0037] Furthermore, the present application also proposes that the step of determining the ratio value of each group of light intensity information based on the light intensity information of all groups includes:

[0038] Based on the light intensity information of all groups, determining a plurality of different light intensity values ​​in the light intensity information of each group;

[0039] Compare the intensity values ​​of multiple different lights to confirm the ratio value of each set of light intensity information.

[0040] Furthermore, the present application also proposes that the step of confirming the multiple different light intensity values ​​in the light intensity information of each group based on the light intensity information of all groups includes:

[0041] Based on the light intensity information of all groups, it is confirmed that the light intensity information of each group includes a plurality of different light intensity values ​​of red light and blue light.

[0042] The present invention also provides a solar street light tracking system, which includes:

[0043] An acquisition module is used to obtain the light intensity information of all groups collected by the light sensing system of the solar street lamp;

[0044] a ratio value confirmation module, configured to confirm a ratio value of each group of light intensity information based on the light intensity information of all groups;

[0045] A direction acquisition module is used to compare the ratio value of each set of light intensity information with a preset ratio value to obtain the direction information of the sunlight;

[0046] a ratio correction module, configured to apply the correction factor to correct the second color light intensity ratio to obtain a corrected color light intensity ratio;

[0047] The driving module is used to obtain a tracking result of driving the solar panel toward the sun based on the orientation information of the sunlight.

[0048] Compared with the existing technology, the solar street light sensing tracking method and system of the present invention has the following advantages:

[0049] The present invention provides a solar streetlight light sensing tracking method and system, which reflects the light distribution in the current environment by acquiring light intensity information of all groups collected by the light sensing system. By calculating the ratio value of each group of light intensity information and comparing it with the preset ratio value, even if there is a certain degree of pollution or interference on the surface of the photosensitive probe, resulting in the intensity of all color lights attenuating in the same proportion, the calculated ratio value of the light intensity information of the color light can still remain relatively stable. The preset ratio value represents the inherent color light intensity ratio characteristics of sunlight, thereby making the judgment accuracy better than the method that simply relies on total light intensity. When facing complex actual lighting conditions such as strong reflected light interference from buildings or partial shading by trees, the solar streetlight can also more accurately lock the actual position of direct sunlight. According to the judged sun position information, the solar panel is driven to adjust its direction so that it is aligned with the direct sunlight, thereby completing the tracking process and improving the effectiveness of solar panel energy collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the specific embodiments of the present invention, the following briefly introduces the drawings required for use in the specific embodiments. In all the drawings, each element or part is not necessarily drawn according to the actual scale.

[0051] Figure 1 This is a flow chart of a solar streetlight sensing tracking method according to the present invention.

[0052] Figure 2 This is a structural block diagram of a solar streetlight tracking system according to the present invention.

[0053] In the figure: an acquisition module 210 , a ratio value confirmation module 220 , an orientation acquisition module 230 , a ratio correction module 240 , and a driving module 250 .

[0054] The implementation and advantages of the functions of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] The following diagrams illustrate various embodiments of the present invention. For clarity, many practical details are included in the following description. However, it should be understood that these practical details are not intended to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not essential. Furthermore, to simplify the drawings, some commonly used structures and components are depicted in simplified schematic form.

[0056] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0057] In addition, in the present invention, descriptions such as "first" and "second" are only used for descriptive purposes and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0058] Conventional solar streetlight tracking systems are susceptible to errors in their solar position under specific lighting conditions, such as the presence of dynamic obstructions, contaminants on the sensor surface that may cause degradation, and interference from reflected light. These factors can cause the solar panel to misalign with the sun, affecting solar energy collection.

[0059] In order to further understand the content, features and effects of the present invention, the following embodiments are given as examples and described in detail with reference to the accompanying drawings:

[0060] See also Figure 1 The present invention provides a solar street light sensing tracking method, comprising the following steps:

[0061] S100: Obtaining light intensity information of all groups collected by a light sensing system for sensing light sources on a solar street light. The light intensity information of all groups refers to a set of light intensity data collected by the light sensing system from different sources, which may include intensity information of different colors of light (e.g., red light, blue light).

[0062] S200: Determine a ratio value for each set of light intensity information based on the light intensity information of all groups. Specifically, each set of light intensity information includes a red light intensity value and a blue light intensity value. For example, the red light intensity value is divided by the blue light intensity value to obtain a ratio value as the ratio value for each set of light intensity information.

[0063] S300: Compare the ratio of each set of light intensity information with a preset ratio to obtain sunlight direction information. The preset ratio is the ratio between the intensity of red and blue light in direct sunlight under typical clear weather conditions. Even if the total light intensity in that direction may not be the highest within the field of view (for example, there may be more dazzling reflected light from a nearby glass curtain wall), the true coordinates of the direct sunlight can be confirmed by determining the ratio of each set of light intensity information.

[0064] S400: Based on the sunlight's orientation information, a tracking result for driving the solar panel toward the sun is obtained. The sunlight's orientation information is used to obtain the coordinate position of the direct sunlight, thereby driving the solar panel's orientation to track the direct sunlight, thereby improving the accuracy of tracking the direct sunlight in complex lighting environments.

[0065] The present invention obtains light intensity information of all groups collected by the light sensing system, reflecting the light distribution in the current environment. By calculating the ratio value of each group of light intensity information and comparing it with the preset ratio value, even if there is a certain degree of pollution or interference on the surface of the photosensitive probe, resulting in the intensities of all colors of light attenuating in equal proportions, the calculated ratio value of the light intensity information of the color light can still remain relatively stable. The preset ratio value represents the color light intensity ratio characteristic inherent in sunlight, thereby making the judgment accuracy better than the method that simply relies on total light intensity. When facing complex actual lighting conditions such as strong reflected light interference from buildings or partial shading by trees, the solar street light can more accurately lock the true position of direct sunlight. Based on the determined solar position information, the azimuth and pitch angle of the solar panel are adjusted by controlling the driving mechanism (such as a motor) so that the light-receiving surface faces the sun. The solar panel is driven to adjust its direction so that it is aligned with the direct sunlight, thereby completing tracking. Tracking direct sunlight in complex lighting environments is more accurate, thereby improving the effectiveness of solar panel energy collection. This application effectively addresses interference with solar streetlight tracking systems caused by factors such as partial occlusion, sensor surface contamination, aging, and strong ambient reflected light. Based on the proportional value of each set of light intensity information, this reduces the existing technology's reliance on absolute light intensity and improves the accuracy of determining the sun's position in complex lighting environments. This enables the solar panel's illuminated surface to more accurately track direct sunlight, increasing the amount of solar energy collected, thereby improving the solar streetlight's energy self-sufficiency and nighttime lighting reliability.

[0066] Based on the above embodiment, the present application further proposes that after the step of determining the ratio value of each group of light intensity information based on the light intensity information of all groups, the step further includes:

[0067] Obtain blue light intensity information and ultraviolet light intensity information collected by the light sensing system of the solar street light. Blue light intensity information refers to the intensity data of the blue wavelength of sunlight collected by the light sensing system. Ultraviolet light intensity information refers to the intensity data of the ultraviolet wavelength of sunlight collected by the light sensing system.

[0068] The blue light intensity information and the ultraviolet light intensity information are compared to obtain an ultraviolet light ratio value. Specifically, the blue light intensity information is divided by the ultraviolet light intensity information to obtain the ultraviolet light ratio value. The preset ultraviolet light threshold is a reference value used for comparison with the ultraviolet light ratio value. It is set based on the ultraviolet light ratio value under typical environmental conditions and is intended to determine whether the ultraviolet light ratio value obtained under the current environmental conditions deviates from the typical state.

[0069] The ultraviolet light ratio value is compared with the preset ultraviolet light threshold value to obtain an adjustment coefficient. The adjustment coefficient is a correction factor determined based on the comparison result of the ultraviolet light ratio value and the preset ultraviolet light threshold value. The adjustment coefficient can be the ratio of the ultraviolet light ratio value to the preset ultraviolet light threshold value.

[0070] The preset ratio value is determined based on the adjustment coefficient and the preset preliminary ratio value. The preset preliminary ratio value refers to a baseline ratio value used to determine sunlight direction information under standard or ideal conditions. The preset preliminary ratio value can be obtained in advance through calibration or calculation to provide a reference ratio value unaffected by current environmental factors. The preset preliminary ratio value is corrected using the adjustment coefficient to obtain a final ratio value used to determine sunlight direction information.

[0071] By incorporating the perception of specific wavelengths of sunlight (blue and ultraviolet), the system addresses the impact of environmental factors on sunlight direction determination. Blue and ultraviolet light are selected as they exhibit high sensitivity to environmental changes such as atmospheric scattering and cloud absorption. After obtaining all groups of light intensity information and preliminarily determining the ratio of each group's intensity information, the system further acquires blue and ultraviolet intensity information. By comparing the blue and ultraviolet intensity information, a UV ratio value is obtained. This ratio reflects the relative intensity of ultraviolet light relative to blue light in the current environment, and thus indirectly reflects environmental conditions such as atmospheric transparency and cloud thickness. Because the UV ratio value exhibits different values ​​under different environmental conditions, an adjustment coefficient is determined by comparing it with a preset UV threshold. This adjustment coefficient quantifies the degree to which the current environment affects sunlight transmission. Based on this adjustment coefficient, the preset preliminary ratio value is corrected to obtain a preset ratio value that is corrected for environmental factors. The calibrated preset ratio is then compared with the ratio of each set of light intensity information to obtain more accurate sunlight position information. In this way, even when environmental factors cause different wavelengths of light to attenuate differently, this method can still provide a reference ratio value that is closer to the true sun position, thereby improving the tracking accuracy of the solar panel.

[0072] Based on the above implementation, the present application further proposes that the step of obtaining the preset preliminary ratio value includes:

[0073] Obtain light intensity reference information and a standard scale value for a reference surface with known reflectivity mounted on a solar panel. A reference surface is a plane or structure fixed to or near the surface of a solar panel, whose material and surface treatment ensure a stable and known reflectivity of sunlight within a certain spectral range. Specifically, it can be a specially treated white or gray standard reflector. Its purpose is to provide a stable lighting reference that is unaffected by contamination on the main surface of the solar panel. Light intensity reference information refers to the intensity data of light reflected from or directly received by the reference surface, measured by a photosensitive element. Specifically, this can be obtained by directional measurement of the reference surface using multiple photosensitive probes. Its purpose is to quantify the actual effect of the current ambient light on the reference surface. The standard scale value is a predetermined benchmark scale value under pollution-free standard lighting conditions, based on the known reflectivity of the reference surface and the characteristics of the photosensitive probes. Specifically, it can be obtained through on-site measurements under pollution-free conditions. Its purpose is to provide a reference value under ideal conditions.

[0074] Based on the light intensity reference information, a scaling factor of the light intensity reference information is determined. The scaling factor is a correction factor calculated based on the relationship between the actual light intensity reference information and a standard scaling value. Specifically, the scaling factor can be obtained by comparing (e.g., dividing) the actual measured light intensity reference information with the standard scaling value. The scaling factor is intended to reflect the degree to which the current ambient lighting (including the effects of pollution) deviates from an ideal state.

[0075] The standard proportional value is adjusted using the proportional coefficient of the light intensity reference information to confirm the preset preliminary proportional value.

[0076] In this embodiment, a reference surface with a known reflectivity is introduced. Light intensity reference information collected from this reference surface is used to correct for errors caused by contamination or other factors, thereby more accurately determining the preset preliminary scale value. First, light intensity reference information and a standard scale value are obtained for a reference surface with a known reflectivity mounted on a solar panel. The introduction of the reference surface provides a benchmark for correcting the light intensity information. Since the reflectivity of the reference surface is known, the light intensity information reflected by it should ideally also be known. By comparing the actual light intensity reference information collected with the theoretical standard scale value, the impact of the actual environment on light propagation can be inferred. Then, based on the light intensity reference information, a scale factor for the light intensity reference information is determined. Determining the scale factor is a key step in quantitatively comparing the actual light intensity information of the reference surface with the ideal state. This scale factor reflects the degree of deviation between the actual lighting environment and the ideal environment, including error information caused by factors such as contamination of the solar panel surface and changes in lighting angle. Finally, the scale factor of the light intensity reference information is used to adjust the standard scale value to confirm the preset preliminary scale value. By adjusting the standard scale value using the scale factor, the impact of environmental factors on light intensity information can be effectively eliminated or reduced, resulting in a more accurate preset preliminary scale value. This preset preliminary scale value will serve as the basis for subsequent light tracking algorithms, improving the accuracy and reliability of solar streetlight light tracking. This solution, combined with the adjustment method using blue and ultraviolet light information in the previous step, can further correct for overall light intensity attenuation or deviation caused by surface contamination while taking into account the influence of spectral composition, thereby achieving more accurate sun tracking in complex environments.

[0077] Based on the above embodiment, the present application further proposes that the steps of obtaining light intensity information of all groups collected by the light sensing system of the solar street lamp include:

[0078] Light intensity information containing at least two different colors of light intensity is obtained from multiple sets of light sensing probes in the light sensing system of a solar street light. Multiple sets of light sensing probes refer to a collection of two or more light sensing probes. These probes can be arranged at different locations or facing different directions on the solar street light and can be implemented using multiple independent light sensor units. A light sensing probe is a device capable of receiving light and converting it into a measurable signal. It can be implemented using components such as photodiodes or photoresistors. Furthermore, the light intensity information containing at least two different colors of light intensity includes blue and red light. The light sensing probe can distinguish and measure the intensity data of light in at least two different wavelength ranges. This can be achieved by placing different color filters in front of the light sensing probes, or by using a multispectral sensor capable of distinguishing different spectral components. Specifically, the light sensing system can include four light sensing probes, mounted on the four sides of the top of the solar street light, facing approximately the four directions: east, south, west, and north. Each light sensing probe can contain a red filter, a blue filter, and corresponding photosensors. When light is incident, a portion of it passes through the red filter and is received by the first photosensitive element, measuring the red light intensity. Another portion of the light passes through the blue filter and is received by the second photosensitive element, measuring the blue light intensity. Each probe can collect both red and blue light intensity information in that direction, i.e., light intensity information containing at least two different color intensities. The light sensing system aggregates all the red and blue light intensity information collected by these four probes as the light intensity information for all groups, which is used for subsequent azimuth calculations. This overcomes the problem of single light intensity information being susceptible to environmental interference, improves the accuracy of sunlight direction judgment, and thus makes the light sensing tracking of solar street lights more precise.

[0079] Based on the above embodiment, the present application further proposes the step of adjusting the standard ratio value using the ratio coefficient of the light intensity reference information and confirming the preset preliminary ratio value, when the reference surface is contaminated by a mixture of multiple types of dust, including:

[0080] The intensity of at least three colors of sunlight reflected by the reference surface in a mixed pollution environment is obtained, such as the intensity of red light, green light, and blue light.

[0081] Based on the acquired intensities of the at least three colors of light, at least two sets of color light intensity ratios are determined, including a first color light intensity ratio and a supplementary color light intensity ratio. The first color light intensity ratio and the supplementary color light intensity ratio are ratio values ​​calculated based on the acquired color light intensities, which can reflect the relative intensity relationship between the different colors of light.

[0082] Obtaining a preset value of the first group of color intensity ratios corresponding to the reference surface in the absence of the mixed contamination as the preset color intensity ratio, and obtaining preset values ​​of the remaining groups of color intensity ratios corresponding to the reference surface in the absence of the mixed contamination. The preset color intensity ratios refer to baseline values ​​of the color intensity ratios of the reference surface in the absence of contamination, which may be obtained through prior measurement or calibration.

[0083] A correction factor is determined based on a preset correspondence relationship based on the difference between the first color light intensity ratio and the preset color light intensity ratio, as well as the difference between the auxiliary color light intensity ratio and its preset value. The preset correspondence relationship refers to a function or lookup table that maps the color light intensity ratio difference to the correction factor, which can be obtained by fitting experimental data. The correction factor is a coefficient used to adjust the light intensity reference information and can be a multiplicative factor.

[0084] The light intensity reference information is corrected by the correction factor to determine a proportional coefficient of the light intensity reference information, wherein the proportional coefficient refers to a proportional coefficient determined based on the corrected light intensity reference information, which can be used to adjust the standard proportional value.

[0085] By obtaining the intensities of at least three colors of sunlight reflected by the reference surface under a mixed pollution environment, at least two sets of color light intensity ratios are confirmed based on these intensities. These color light intensity ratios reflect the differences in the impact of pollution on the absorption or reflection of different colors of light. At the same time, the preset values ​​of the corresponding color light intensity ratios of the reference surface under non-mixed pollution conditions are obtained as a benchmark. By comparing the difference between the color light intensity ratios under actual pollution and the preset values ​​under non-pollution conditions, and using the preset corresponding relationship, a correction factor can be determined. This correction factor quantifies the degree and nature of the impact of mixed pollution on the light intensity reference information. Subsequently, the original light intensity reference information is corrected by the correction factor to obtain more accurate light intensity reference information. Based on the corrected light intensity reference information, a proportional coefficient of more accurate light intensity reference information can be confirmed. This proportional coefficient is then used to adjust the standard proportional value to confirm the preset preliminary proportional value. In this way, even if the reference surface is contaminated by mixed particles, a relatively accurate proportional coefficient can be obtained, making the subsequent process of adjusting the standard proportional value and confirming the preset preliminary proportional value using the proportional coefficient more reliable, thereby improving the accuracy of the solar panel orientation correction and solving the problem of the accuracy of the proportional coefficient of the light intensity reference information being affected when the reference surface is contaminated by a mixture of multiple types of dust. In the case where the reference surface is contaminated by a mixture of multiple types of dust, the impact of the contamination can be quantified by analyzing the changes in the color ratio of the reflected light, and a correction factor can be generated to correct the light intensity reference information. This makes the proportional coefficient of the confirmed light intensity reference information more accurate, thereby improving the accuracy of adjusting the standard proportional value and confirming the preset preliminary proportional value using the proportional coefficient, and ultimately improving the accuracy of the solar panel orientation correction, ensuring the effective energy collection of the solar panel in a polluted environment.

[0086] Based on the above embodiment, the present application further proposes a step of determining a correction factor based on a preset correspondence between the difference between the first color light intensity ratio and the preset color light intensity ratio, and the difference between the auxiliary color light intensity ratio and its preset value, including:

[0087] Monitor the variation characteristics of the difference between the auxiliary color light intensity ratio and its preset value. The variation characteristics refer to the trend, fluctuation, rate, or pattern of the difference over time or as environmental conditions change. This can be achieved through statistical analysis, aiming to capture the dynamic effects of actual pollution on the color light ratio.

[0088] Based on the variation characteristics, a determination is made as to whether the pollution impact pattern represented by the preset correspondence deviates from the actual pollution impact pattern reflected by the variation characteristics, thereby obtaining a determination result. The pollution impact pattern represented by the preset correspondence refers to the law or model of the impact of pollution on light intensity reference information, implied or anticipated by the preset correspondence (e.g., a function, lookup table, or rule set) when a specific color intensity ratio difference is input. This pattern can be established using mathematical modeling, with the goal of providing an initial, empirically or theoretically based pollution correction model.

[0089] If the judgment result indicates a deviation, the preset correspondence is adjusted to generate an adjusted correspondence. Adjusting the preset correspondence means modifying or optimizing the original preset correspondence based on the judgment result to make it more adaptable to the actual pollution impact pattern reflected by the change characteristics. This can be achieved by parameter adjustment, with the purpose of improving the accuracy of the correction factor.

[0090] The correction factor is determined by using the adjusted corresponding relationship and according to the difference between the first color light intensity ratio and the preset color light intensity ratio, and the difference between the auxiliary color light intensity ratio and its preset value.

[0091] In this embodiment, by monitoring the changing characteristics of the difference between the auxiliary color light intensity ratio and its preset value, dynamic information about the impact of actual pollution on the color light ratio can be obtained in real time. Based on these changing characteristics, the system can determine whether the pollution impact pattern represented by the preset corresponding relationship deviates from the actual situation. When a deviation is detected, the system dynamically adjusts the preset corresponding relationship to generate an adjusted corresponding relationship that better matches the current actual pollution impact pattern. Ultimately, this adjusted corresponding relationship is used to determine the correction factor. This series of steps forms an adaptive correction mechanism, allowing the correction factor to more accurately reflect the actual pollution impact, thereby providing more precise correction of the light intensity reference information. In this way, this solution overcomes the limitations of fixed corresponding relationships in complex and variable pollution environments and improves the accuracy of determining the light intensity reference information ratio coefficient. This dynamic adjustment mechanism, combined with the basic light sensing tracking method, enables the entire system to more accurately obtain light intensity reference information even in complex environmental pollution environments, thereby more reliably confirming the preset ratio value, ultimately improving the accuracy and robustness of solar streetlight light sensing tracking.

[0092] Based on the above embodiment, the present application further proposes that if the judgment result shows deviation, the preset corresponding relationship is adjusted, and the steps of generating the adjusted corresponding relationship include:

[0093] If the determination result indicates a deviation, a first response characteristic of the corresponding relationship applied to determine the correction factor after the single adjustment under a preset reference input is obtained. The first response characteristic refers to an output performance of the corresponding relationship applied to determine the correction factor after the single adjustment under a preset reference input, which can be represented by an output curve of the corresponding relationship under the preset reference input.

[0094] The first response characteristic is compared with a pre-stored reference response characteristic, where the reference response characteristic represents an expected state of the corresponding relationship when no accumulated error or drift has occurred due to long-term iterative adjustment, and a difference between the first response characteristic and the reference response characteristic is determined. The pre-stored reference response characteristic refers to the expected behavior of the corresponding relationship under ideal conditions, i.e., when no accumulated error or drift has occurred due to long-term iterative adjustment. The pre-stored reference response characteristic may be stored using corresponding relationship response data or a model obtained during initial system calibration or a known error-free state.

[0095] If the difference exceeds a preset criterion, it is determined that the correspondence relationship after the one adjustment has accumulated an error that requires correction. The preset criterion refers to a threshold or rule for determining whether the difference between the first response characteristic and the reference response characteristic is significant enough to require correction.

[0096] When it is determined that the once-adjusted correspondence has accumulated an error that requires correction, a corrective adjustment is performed on the once-adjusted correspondence to reduce the accumulated error, and the adjusted correspondence is confirmed. Corrective adjustment refers to a correction process performed on the once-adjusted correspondence to reduce the accumulated error, which can be implemented using an existing optimization algorithm.

[0097] This embodiment introduces a mechanism that compares the response characteristics of the adjusted correspondence with a reference response characteristic, thereby identifying and eliminating accumulated errors and drift caused by long-term iterative adjustments or environmental changes. Specifically, after determining a deviation and making preliminary adjustments to the preset correspondence, this solution further obtains a first response characteristic of the adjusted correspondence under a preset reference input. This first response characteristic reflects the actual performance of the current correspondence. Subsequently, this first response characteristic is compared with a pre-stored reference response characteristic, which represents the expected behavior of the correspondence under ideal conditions. By comparing the difference between the two, the degree of deviation of the current correspondence from the ideal state can be quantified. If the difference exceeds a preset criterion, it indicates that the correspondence, after a single adjustment, has accumulated errors that require correction. At this point, the system performs corrective adjustments to the correspondence with the goal of reducing the accumulated errors. This series of steps forms a closed-loop feedback mechanism that not only enables preliminary adjustments based on real-time changing characteristics but also enables long-term evaluation and correction of the adjustment results, ensuring that the correspondence maintains accuracy over time. It is precisely because of this evaluation and correction of the adjustment process itself that this solution can overcome the problem in existing technologies that the corresponding relationship may become invalid over time and produce cumulative errors, and continuously improve the accuracy of the correction factor, thereby enhancing the long-term stability and accuracy of solar tracking.

[0098] Based on the above embodiment, the present application further proposes that the step of determining the ratio value of each group of light intensity information based on the light intensity information of all groups includes:

[0099] Based on all the groups of light intensity information, multiple different light intensity values ​​in each group of light intensity information are determined. The multiple different light intensity values ​​refer to the respective light intensity values ​​measured for different spectral components or different types of light (e.g., red light, ultraviolet light, and blue light) in each group of light intensity information.

[0100] Compare the intensity values ​​of multiple different lights to confirm the ratio value of each set of light intensity information.

[0101] Specifically, by determining the ratio value of each set of light intensity information, the system no longer relies solely on the overall light intensity or a single light component, but instead deeply analyzes the intensity values ​​of multiple different lights contained within each set of light intensity information. Specifically, based on the light intensity information of all groups, the intensity values ​​of multiple different lights in each set of light intensity information are determined. This enables the system to obtain a detailed distribution of light in different spectral regions. Subsequently, these multiple intensity values ​​of different lights are compared to determine the ratio value of each set of light intensity information. This ratio value reflects the relative composition of different spectral components within the light, such as the intensity ratio between different colors of light. Compared to the ratio value calculated based only on the total light intensity or a single light intensity, the ratio value obtained in this way can more accurately characterize the properties of the current light, such as whether it is affected by specific color obstructions (such as leaves) or whether reflected light of specific spectral components is mixed in. The obtained more refined and more accurate ratio value of each set of light intensity information is used for subsequent comparison with the preset ratio value, which can more reliably determine the true direction of sunlight, effectively avoiding misjudgments caused by local obstruction, surface contamination or reflection interference. Therefore, this solution provides a more solid data foundation for determining the direction of sunlight through in-depth analysis of the spectral composition of light, significantly improving tracking accuracy in complex environments. This solves the problem of merely confirming the proportional value of each set of light intensity information without in-depth analysis of the internal composition structure of each set of light intensity information, resulting in an incomplete and in-depth understanding of the light intensity information, which affects the subsequent accurate determination of sunlight direction information.

[0102] Based on the above embodiment, the present application further proposes that the step of confirming multiple different light intensity values ​​in the light intensity information of each group based on the light intensity information of all groups includes:

[0103] Based on the light intensity information of all groups, it is confirmed that the light intensity information of each group includes multiple intensity values ​​of red light and blue light. Specifically, by confirming the multiple intensity values ​​of different lights in the light intensity information of each group based on the light intensity information of all groups; at the same time, the light intensity information of each group includes multiple intensity values ​​of different lights of red light and blue light. It is possible to focus on the representative red light and blue light in the solar spectrum to obtain their intensity information. Based on the intensity values ​​of these specific spectra, the proportional relationship reflecting the current light color characteristics can be calculated. Compared with general light intensity information, this color feature information can more effectively distinguish direct sunlight from possible interference light (such as scattered light, reflected light or light affected by pollution) because the spectral distribution of these interference lights is often different from that of direct sunlight. By analyzing the intensity of red light and blue light and their ratio, the system can more accurately judge the nature of the light source, thereby more accurately determining the direction of the sun in subsequent steps. This extraction and utilization of specific spectral information enables the entire light-sensing tracking method to more effectively identify the true sun position in complex lighting environments such as partial occlusion, photosensitive probe contamination, or strong reflected light, reducing misjudgments and improving the accuracy of azimuth judgment, thereby enhancing the tracking accuracy of solar panels.

[0104] Based on any of the above examples, please refer to Figure 2 The present invention also provides a solar street light sensing tracking system, which includes an acquisition module 210, a ratio value confirmation module 220, an orientation acquisition module 230, a ratio correction module 240 and a driving module 250.

[0105] The acquisition module 210 is used to obtain light intensity information of all groups collected by the light sensing system of the solar street lamp that perceives the light source.

[0106] The ratio value confirmation module 220 is configured to confirm the ratio value of each group of light intensity information based on the light intensity information of all groups.

[0107] The direction acquisition module 230 is used to compare the ratio value of each set of light intensity information with a preset ratio value to obtain the direction information of the sunlight.

[0108] The ratio correction module 240 is configured to apply the correction factor to correct the second color light intensity ratio to obtain a corrected color light intensity ratio.

[0109] The driving module 250 is used to obtain the tracking result of driving the solar panel toward the sun based on the orientation information of the sunlight. The present application reduces the impact of overall illumination changes by obtaining multiple sets of light intensity information and calculating the ratio value. Furthermore, by comparing the ratio value with the preset value and applying the correction factor to correct the color light intensity ratio, the system can cope with environmental interference such as local occlusion, surface contamination or reflected light, thereby improving the ability to judge the sun's orientation. Based on the orientation information, the driving module can make the solar panel face the sun, thereby achieving stable tracking even in complex environments, thereby improving the efficiency of solar energy collection.

[0110] The acquisition module 210 collects multiple sets of light intensity information from the light sensing system, reflecting illumination conditions from different directions or spectra. Subsequently, the ratio value confirmation module 220 processes this raw light intensity information and calculates the proportional relationship between each set of light intensities. This proportional relationship, compared to absolute intensity values, more stably reflects the relative position of the light source and reduces the impact of overall illumination variations. Next, the orientation acquisition module 230 compares the calculated ratio value with a preset reference ratio value to preliminarily determine the sun's position. To further improve the determination capability, the ratio correction module 240 applies a correction factor to the color intensity ratio. This correction factor compensates for interference with the light intensity information caused by environmental factors (such as partial occlusion, surface contamination, or reflected light), making the resulting orientation information closer to the sun's true position. Finally, the drive module 250 controls the solar panel's drive mechanism based on the corrected solar position information, adjusting the panel's light-receiving surface toward the sun. This processing flow, especially the introduction of the proportional correction link, enables the system to overcome the shortcomings of traditional methods that are susceptible to interference under complex and changing environmental lighting conditions, achieve stable tracking of the sun, and improve the efficiency of solar energy collection.

[0111] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A solar streetlight tracking method, characterized in that: include: Obtain light intensity information of all groups collected by the light sensing system of the solar street lamp; Based on the light intensity information of all groups, determining a ratio value of the light intensity information of each group; Compare the ratio value of each set of light intensity information with the preset ratio value to obtain the direction information of the sunlight; Based on the orientation information of the sunlight, a tracking result of driving the solar panel toward the sun is obtained.

2. A solar street light sensing tracking method according to claim 1, characterized in that: After the step of determining the ratio of each group of light intensity information based on the light intensity information of all groups, the method further includes: Obtain blue light intensity information and ultraviolet light intensity information collected by the light sensing system of the solar street lamp; Comparing the blue light intensity information with the ultraviolet light intensity information to obtain an ultraviolet light ratio value; Comparing the UV light ratio value with the preset UV light threshold value to obtain an adjustment coefficient; Based on the adjustment coefficient and the preset preliminary ratio value, a preset ratio value is determined.

3. A solar street light sensing tracking method according to claim 2, characterized in that: The step of obtaining the preset preliminary ratio value includes: Obtaining light intensity reference information and a standard ratio value of a reference surface with known reflectivity mounted on a solar panel; determining a proportionality coefficient of the light intensity reference information based on the light intensity reference information; The standard proportional value is adjusted using the proportional coefficient of the light intensity reference information to confirm the preset preliminary proportional value.

4. A solar street light sensing tracking method according to claim 1, characterized in that: The steps of obtaining the light intensity information of all groups collected by the light sensing system of the solar street lamp include: The light intensity information containing at least two different color light intensities collected by multiple groups of light sensing probes in the light sensing system of the solar street lamp is obtained.

5. The solar street light sensing tracking method according to claim 3, characterized in that: Before the step of adjusting the standard proportional value using the proportional coefficient of the light intensity reference information and confirming the preset preliminary proportional value, when the reference surface is contaminated by a mixture of multiple types of dust, the step includes: Obtaining the intensity of at least three colors of sunlight reflected by the reference surface in a mixed pollution environment; Based on the acquired intensities of the at least three colors of light, determining at least two groups of color light intensity ratios including a first color light intensity ratio and an auxiliary color light intensity ratio; Obtaining a preset value of the first group of color light intensity ratios corresponding to the reference surface under the condition that the mixed pollution is not present, as the preset color light intensity ratio, and obtaining preset values ​​of the remaining groups of color light intensity ratios corresponding to the reference surface under the condition that the mixed pollution is not present; Determining a correction factor according to a preset correspondence relationship based on a difference between the first color light intensity ratio and the preset color light intensity ratio, and a difference between the auxiliary color light intensity ratio and its preset value; The light intensity reference information is corrected by using the correction factor to determine a proportional coefficient of the light intensity reference information.

6. A solar street light sensing tracking method according to claim 5, characterized in that: The step of determining the correction factor according to a difference between the first color light intensity ratio and the preset color light intensity ratio, and a difference between the auxiliary color light intensity ratio and its preset value, through a preset corresponding relationship includes: Monitoring the change characteristics of the difference between the auxiliary color light intensity ratio and its preset value; Based on the change characteristics, determining whether the pollution impact pattern represented by the preset corresponding relationship deviates from the actual pollution impact pattern reflected by the change characteristics, and obtaining a determination result; If the judgment result shows deviation, adjusting the preset corresponding relationship to generate an adjusted corresponding relationship; The correction factor is determined by using the adjusted corresponding relationship and according to the difference between the first color light intensity ratio and the preset color light intensity ratio, and the difference between the auxiliary color light intensity ratio and its preset value.

7. A solar street light tracking method according to claim 6, characterized in that: If the judgment result shows deviation, the preset corresponding relationship is adjusted, and the step of generating the adjusted corresponding relationship includes: If the judgment result shows deviation, obtaining a first response characteristic under a preset reference input that has been applied to determine the corresponding relationship of the correction factor after one adjustment; comparing the first response characteristic with a pre-stored reference response characteristic, the reference response characteristic representing an expected state of the corresponding relationship when no accumulated error or drift caused by long-term iterative adjustment occurs, and determining a difference between the first response characteristic and the reference response characteristic; If the difference exceeds a preset criterion, it is determined that the corresponding relationship after the one adjustment has accumulated an error that needs to be corrected; When it is determined that the once-adjusted correspondence relationship has accumulated an error that needs to be corrected, a corrective adjustment is performed on the once-adjusted correspondence relationship with the goal of reducing the accumulated error, and the adjusted correspondence relationship is confirmed.

8. The solar street light sensing tracking method according to claim 1, characterized in that: Based on the light intensity information of all groups, the step of determining the ratio value of each group of light intensity information includes: Based on the light intensity information of all groups, determining a plurality of different light intensity values ​​in the light intensity information of each group; Compare the intensity values ​​of multiple different lights to confirm the ratio value of each set of light intensity information.

9. A solar street light sensing tracking method according to claim 8, characterized in that: Based on the light intensity information of all groups, the step of determining a plurality of different light intensity values ​​in the light intensity information of each group includes: Based on the light intensity information of all groups, it is confirmed that the light intensity information of each group includes a plurality of different light intensity values ​​of red light and blue light.

10. A solar street light tracking system, characterized in that: The system includes: An acquisition module is used to obtain the light intensity information of all groups collected by the light sensing system of the solar street lamp; a ratio value confirmation module, configured to confirm a ratio value of each group of light intensity information based on the light intensity information of all groups; A direction acquisition module is used to compare the ratio value of each set of light intensity information with a preset ratio value to obtain the direction information of the sunlight; a ratio correction module, configured to apply the correction factor to correct the second color light intensity ratio to obtain a corrected color light intensity ratio; The driving module is used to obtain a tracking result of driving the solar panel toward the sun based on the orientation information of the sunlight.

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