A solar street lamp light sensing tracking method and system

Abstract

The present application relates to the technical field of solar energy, in particular to a solar street lamp light tracking method and system. The method comprises: acquiring light intensity information of all groups collected by a light sensing system for sensing light sources on a solar street lamp; confirming a proportional value of each group of light intensity information based on the light intensity information of all groups; comparing the proportional value of each group of light intensity information with a preset proportional value to obtain azimuth information of sunlight; and obtaining a tracking result of driving a solar panel towards the sun based on the azimuth information of the sunlight. The present application aims to solve the problem that the prior art cannot accurately distinguish between real direct sunlight and interfering light, which is prone to misjudgment, resulting in the solar panel being unable to accurately and effectively receive direct sunlight.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of solar energy, in particular to a solar street lamp light sensing tracking method and system. BACKGROUND

[0002] The solar street lamp system collects solar energy during the day through the solar panel at the top end and stores the electric energy in the built-in battery for night lighting. The existing solar street lamp is equipped with a light sensing tracking device to improve the efficiency of capturing solar energy during the day. The light sensing tracking device includes a plurality of light sensing probes and a set of driving mechanisms. The light sensing probes are responsible for sensing the incident direction and intensity of sunlight and transmitting signals to the control core. The control core drives the mechanism to adjust the azimuth and elevation angle of the solar panel according to the instructions, so that the light receiving surface of the solar panel continuously faces the sun.

[0003] However, the sunlight is easily blocked by vegetation, buildings and other objects beside the road. In the traditional light sensing tracking system, the light sensing probes simply find the current brightest light spot, so that the solar panel does not accurately face the sun core area, but deviates to a suboptimal light receiving direction, directly leading to a reduction in solar energy collection. In addition, dust, sand, bird droppings and chemical substances such as acid rain adhere to the light sensing probes, forming a layer of dirt on the probe surface. The dirt not only reduces the overall sensitivity of the light sensing probes to light, but also causes the light transmittance of some probe areas to be much worse than other areas. The contaminated light sensing probes may also transmit distorted light intensity and azimuth information to the control core, making the tracking system unable to accurately lock the direct sunlight of the sun, or the tracking action becomes slow and hesitant. In complex lighting environments such as local obstruction, probe contamination and strong reflected light interference, the existing light sensing tracking device is difficult to accurately distinguish between the real direct sunlight of the sun and the interference light, and is prone to misjudgment, which prevents the solar panel from accurately and effectively receiving the direct sunlight of the sun, thereby limiting the energy collection capacity and reliability of the solar street lamp. SUMMARY

[0004] The purpose of the present application is to provide a solar street lamp light sensing tracking method and system to solve the problem that the prior art is difficult to accurately distinguish between the real direct sunlight of the sun and the interference light, and is prone to misjudgment, which prevents the solar panel from accurately and effectively receiving the direct sunlight of the sun.

[0005] To achieve the above purpose, the present application adopts the following technical scheme: a solar street lamp light sensing tracking method, comprising:

[0006] obtaining light intensity information of all groups collected by a light sensing system for sensing light sources on a solar street lamp;

[0007] confirming the proportional value of each group of light intensity information based on the light intensity information of all groups.

[0008] Comparing the proportion value of each group of light intensity information with a preset proportion value, obtaining the azimuth information of the sunlight;

[0009] Based on the azimuth information of the sunlight, obtaining the tracking result of driving the solar panel towards the sun.

[0010] Further, the present application also proposes that after the step of confirming the proportion value of each group of light intensity information based on all groups of light intensity information, it further includes:

[0011] Obtaining the blue light intensity information and ultraviolet light intensity information collected by the light sensing system that senses the light source on the solar street lamp;

[0012] Comparing the blue light intensity information and ultraviolet light intensity information, obtaining the ultraviolet light proportion value;

[0013] Comparing the ultraviolet light proportion value with a preset ultraviolet light threshold value, obtaining an adjustment coefficient;

[0014] Based on the adjustment coefficient and a preset preliminary proportion value, confirming the preset proportion value.

[0015] Further, the present application also proposes that the step of obtaining the preset preliminary proportion value includes:

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

[0017] Based on the light intensity reference information, confirming the proportion coefficient of the light intensity reference information;

[0018] Adjusting the standard proportion value by using the proportion coefficient of the light intensity reference information, confirming the preset preliminary proportion value.

[0019] Further, the present application also proposes that the step of obtaining all groups of light intensity information collected by the light sensing system that senses the light source on the solar street lamp includes:

[0020] Obtaining the light intensity information containing the intensity of light of at least two different colors collected by multiple groups of light sensing probes in the light sensing system that senses the light source on the solar street lamp.

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

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

[0023] Confirming at least two groups of color light intensity proportions including the first color light intensity proportion and the auxiliary color light intensity proportion based on the acquired intensity of the at least three color lights;

[0024] Acquiring a preset value of the first group of color light intensity proportions corresponding to the reference surface under the condition without the mixed pollution as the preset color light intensity proportion, and acquiring preset values of the remaining groups of color light intensity proportions corresponding to the reference surface under the condition without the mixed pollution;

[0025] Determining a correction factor through a preset corresponding relationship according to the difference between the first color light intensity proportion and the preset color light intensity proportion and the difference between the auxiliary color light intensity proportion and its preset value;

[0026] Correcting the light intensity reference information through the correction factor to confirm the proportion coefficient of the light intensity reference information.

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

[0028] Monitoring the change feature presented by the difference between the auxiliary color light intensity proportion and its preset value;

[0029] Based on the change feature, judging whether the pollution influence mode represented by the preset corresponding relationship deviates from the actual pollution influence mode reflected by the change feature to obtain a judgment result;

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

[0031] Using the adjusted corresponding relationship and determining the correction factor according to the difference between the first color light intensity proportion and the preset color light intensity proportion and the difference between the auxiliary color light intensity proportion and its preset value.

[0032] Further, the present application also proposes that the step of adjusting the preset corresponding relationship to generate an adjusted corresponding relationship if the judgment result shows deviation includes:

[0033] If the judgment result shows deviation, acquiring the first response characteristic of the corresponding relationship that has been applied to determine the correction factor under a preset reference input 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 cumulative error or drift caused by long-term iterative adjustment occurs, determining a difference between the first response characteristic and the reference response characteristic;

[0035] if the difference exceeds a preset criterion, judging that the once-adjusted corresponding relationship has accumulated error that needs to be corrected;

[0036] when it is judged that the once-adjusted corresponding relationship has accumulated error that needs to be corrected, performing a corrective adjustment on the once-adjusted corresponding relationship to reduce the accumulated error, and confirming the adjusted corresponding relationship.

[0037] Further, the application also proposes that the step of confirming the proportion value of each group of light intensity information based on the light intensity information of all groups comprises:

[0038] confirming the intensity values of multiple different lights in the light intensity information of each group based on the light intensity information of all groups;

[0039] comparing the intensity values of multiple different lights to confirm the proportion value of each group of light intensity information.

[0040] Further, the application also proposes that the step of confirming the intensity values of multiple different lights in the light intensity information of each group based on the light intensity information of all groups comprises:

[0041] confirming the intensity values of multiple different lights including red light and blue light in the light intensity information of each group based on the light intensity information of all groups.

[0042] The application also provides a solar street lamp light sensing tracking system, which comprises:

[0043] an acquisition module, configured to acquire light intensity information of all groups collected by a light sensing system for sensing a light source on a solar street lamp;

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

[0045] an orientation acquisition module, configured to compare the proportion value of each group of light intensity information with a preset proportion value to obtain orientation information of sunlight;

[0046] a proportion correction module, configured to correct the second color light intensity proportion by applying the correction factor to obtain a corrected color light intensity proportion;

[0047] a driving module, configured to obtain a tracking result of driving a solar panel towards the sun based on the orientation information of the sunlight.

[0048] Compared with the prior art, the solar street lamp light sensing tracking method and system has the following advantages:

[0049] The solar street lamp light sensing tracking method and system of the present application reflects the light distribution under the current environment by obtaining the light intensity information of all groups collected by the light sensing system. By comparing the proportional value of each group of light intensity information with the preset proportional value, even if there is a certain degree of pollution or interference on the surface of the photosensitive probe, resulting in equal proportional attenuation of the intensity of all color lights, the proportional value of the calculated color light intensity information can still remain relatively stable. The preset proportional value represents the inherent color light intensity proportional characteristics of sunlight, so that the accuracy of the judgment is better than the method of simply relying on the total light intensity. When the solar street lamp faces complex actual lighting conditions such as strong reflected light interference of buildings or local shading of trees, it can also more accurately lock the real position of the direct sunlight of the sun, drive the solar panel to adjust its orientation, and make it align with the direct sunlight of the sun, thereby completing the tracking process, and improving the energy collection effect of the solar panel. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the specific embodiments of the present application, the drawings required in the specific embodiments will be briefly introduced below. In all the drawings, the elements or parts are not necessarily drawn according to the actual proportions.

[0051] Figure 1 The flowchart of the solar street lamp light sensing tracking method of the present application.

[0052] Figure 2 The structural block diagram of the solar street lamp light sensing tracking system of the present application.

[0053] In the figure: acquisition module 210, proportional value confirmation module 220, direction acquisition module 230, proportional correction module 240, driving module 250.

[0054] The implementation and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0055] The embodiments of the present application will be disclosed below with reference to the drawings. Many practical details will be described in the following description for the purpose of clear illustration. However, it should be understood that these practical details should not be used to limit the present application. That is, in some embodiments of the present application, these practical details are not necessary. In addition, for the purpose of simplifying the drawings, some conventional structures and components will be shown in the drawings in a simple schematic manner.

[0056] It should be noted that all the direction indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative position relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the direction indications will also change accordingly.

[0057] In addition, the descriptions such as "first", "second" and the like in the present application are only for the purpose of description, and are not intended to particularly indicate the order or sequence, nor to limit the present application. They are merely used to distinguish components or operations described by the same technical terms, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the realization of a person skilled in the art. When the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist and is not within the protection scope required by the present application.

[0058] The conventional existing solar street light light sensing tracking system is easy to give a solar direction judgment deviation under certain light conditions, for example, there are dynamic obstructions, the surface of the light sensing probe is easy to be attached by pollutants or performance attenuation, and is easy to be disturbed by reflected light. Such deviation causes the solar panel to be unable to accurately align the sun, thereby affecting the energy collection of solar energy.

[0059] In order to further understand the content, characteristics and effects of the present application, the following embodiments are exemplified and described in detail as follows with reference to the accompanying drawings:

[0060] Please refer to Figure 1 The present application provides a solar street light light sensing tracking method, comprising the following steps:

[0061] S100, acquiring all groups of light intensity information collected by a light sensing system for sensing a light source on a solar street lamp. The all groups of light intensity information refer to a set of light intensity data collected by the light sensing system from different sources, which can include intensity information of different colors of light (such as red light and blue light).

[0062] S200, confirming a proportional value of each group of light intensity information based on the all groups of light intensity information. Specifically, each group of light intensity information includes a red light intensity value and a blue light intensity value. For example, a proportional value is obtained by dividing the red light intensity value by the blue light intensity value as the proportional value of each group of light intensity information.

[0063] S300, compare the ratio value of each group of light intensity information with a preset ratio value to obtain the azimuth information of the sunlight. The preset ratio value is the ratio relationship between the red light intensity and the blue light intensity in the direct sunlight under a typical sunny weather. Even if the total intensity of the light in this direction may not be the highest in the field of view (for example, there may be more dazzling glass curtain wall reflected light next to it), by discriminating the ratio value of each group of light intensity information, the true coordinates of the direct sunlight are confirmed.

[0064] S400, based on the azimuth information of the sunlight, obtain the tracking result of driving the solar panel towards the sun. Through the azimuth information of the sunlight, the coordinate position of the direct sunlight is obtained, and then the orientation of the solar panel is driven to realize the tracking of the direct sunlight, thereby improving the accuracy of tracking the direct sunlight in a complex lighting environment.

[0065] The present application reflects the light distribution under the current environment by obtaining all groups of light intensity information collected by the light sensing system. By comparing the ratio value of each group of light intensity information 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 equal proportional attenuation of the intensity of all color lights, 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 characteristic of the sunlight, thereby making the accuracy of the judgment better than simply relying on the total light intensity. When the solar street lamp is faced with complex actual lighting conditions such as strong reflected light interference of buildings or local obstruction of trees, it can also more accurately lock the true position of the direct sunlight. According to the judged azimuth information of the sun, the azimuth angle and the pitch angle of the solar panel are adjusted by controlling the driving mechanism (such as a motor) to make the light receiving surface of the solar panel face the sun. The solar panel is driven to adjust its orientation to align with the direct sunlight, thereby completing the tracking. The tracking of the direct sunlight in a complex lighting environment is more accurate, thereby improving the energy collection efficiency of the solar panel. The present application can effectively cope with the interference of local obstruction, sensor surface pollution, aging and strong reflected light around the light sensing tracking system of the solar street lamp. Based on the ratio value of each group of light intensity information, the dependence on the absolute light intensity of the prior art is reduced, and the accuracy of judging the azimuth of the sun in a complex lighting environment is improved. The light receiving surface of the solar panel can more accurately track the direct sunlight, thereby increasing the collection amount of solar energy and improving the energy self-sufficiency of the solar street lamp and the reliability of night lighting.

[0066] Based on the above embodiments, the present application further comprises the following steps after confirming the ratio value of each group of light intensity information based on all groups of light intensity information:

[0067] Obtain blue light intensity information and ultraviolet light intensity information collected by a light sensing system for sensing a light source on a solar street lamp. The blue light intensity information refers to light intensity data of blue light collected by the light sensing system. The ultraviolet light intensity information refers to light intensity data of ultraviolet light collected by the light sensing system.

[0068] Compare the blue light intensity information and the ultraviolet light intensity information to obtain an ultraviolet light proportion value. Specifically, divide the blue light intensity information by the ultraviolet light intensity information to obtain the ultraviolet light proportion value. The preset ultraviolet light threshold value refers to a reference value for comparison with the ultraviolet light proportion value, which is set according to the ultraviolet light proportion value under typical environmental conditions, and the purpose is to determine whether the ultraviolet light proportion value obtained under the current environmental conditions deviates from the typical state.

[0069] Compare the ultraviolet light proportion value with the preset ultraviolet light threshold value to obtain an adjustment coefficient. The adjustment coefficient refers to a correction factor determined according to the comparison result of the ultraviolet light proportion value and the preset ultraviolet light threshold value, and the adjustment coefficient can be the ratio of the ultraviolet light proportion value to the preset ultraviolet light threshold value.

[0070] Confirm a preset proportion value based on the adjustment coefficient and a preset preliminary proportion value. The preset preliminary proportion value refers to a reference proportion value for determining the solar light direction information under standard or ideal environmental conditions, which can be obtained by calibration or calculation in advance, and the purpose is to provide a reference proportion value that is not affected by the current environmental factors. The preset preliminary proportion value is corrected by the adjustment coefficient to obtain a final proportion value for determining the solar light direction information.

[0071] The influence of environmental factors on the determination of the sun's orientation is solved by introducing the perception of specific wavelengths of light in sunlight (blue light and ultraviolet light). The light of blue light and ultraviolet light shows high sensitivity to environmental changes such as atmospheric scattering, cloud absorption, etc. After obtaining the light intensity information of all groups and preliminarily confirming the proportion value of each group of light intensity information, the blue light intensity information and the ultraviolet light intensity information are further obtained. By comparing the blue light intensity information and the ultraviolet light intensity information, an ultraviolet light proportion value can be obtained, which can reflect the intensity relationship between ultraviolet light and blue light under the current environment, and further indirectly reflect the atmospheric transparency and cloud thickness and other environmental states. It is because the ultraviolet light proportion value under different environmental states will present different values that by comparing the ultraviolet light proportion value with the preset ultraviolet light threshold, an adjustment coefficient can be obtained. The adjustment coefficient quantifies the degree of influence of the current environment on the propagation of sunlight. On this basis, the preset preliminary proportion value is corrected based on the adjustment coefficient to obtain a preset proportion value corrected by environmental factors. The corrected preset proportion value is then used to compare with the proportion value of each group of light intensity information to obtain more accurate sun orientation information. In this way, even in the case that different wavelengths of light are attenuated to different degrees due to environmental factors, the method can still provide a reference proportion value closer to the true sun orientation, thereby improving the tracking accuracy of the solar panel.

[0072] Based on the above-mentioned embodiments, the application further proposes that the step of obtaining the preset preliminary proportion value comprises:

[0073] Obtain light intensity reference information and a standard proportion value of a reference surface with a known reflectivity installed on the solar panel. The reference surface refers to a plane or structure fixed on the surface of the solar panel or nearby, which has a stable and known reflectivity in a certain spectral range due to its material and surface treatment, and specifically can be a specially treated white or gray standard reflector, which aims to provide a stable light reference benchmark that is not affected by the pollution of the main surface of the solar panel. The light intensity reference information refers to the intensity data of the light reflected from the reference surface or directly received by the reference surface measured by a photosensitive element, and specifically can be obtained by directional measurement of the reference surface by multiple photosensitive probes, which aims to quantify the actual performance of the current environmental light on the reference surface. The standard proportion value refers to a reference proportion value determined in advance under the condition of non-polluted standard light according to the known reflectivity of the reference surface and the characteristics of the photosensitive probe, and specifically can be obtained by measurement in the field without pollution, which aims to provide a reference value in an ideal state.

[0074] Based on the light intensity reference information, a proportionality coefficient of the light intensity reference information is confirmed. The proportionality coefficient is a correction factor calculated according to the relationship between the actually obtained light intensity reference information and the standard proportionality value, and can be obtained by comparing (for example, dividing) the actually measured light intensity reference information with the standard proportionality value. The purpose is to reflect the deviation degree of the current environmental illumination (including the influence of pollution) relative to the ideal state.

[0075] The standard proportionality value is adjusted by using the proportionality coefficient of the light intensity reference information, and a preset preliminary proportionality value is confirmed.

[0076] In the embodiment, by introducing a reference surface with a known reflectivity and based on the light intensity reference information collected by the reference surface, the error caused by pollution or other factors is corrected, so that the preset preliminary proportionality value is more accurately determined. First, the light intensity reference information and the standard proportionality value of the reference surface with a known reflectivity installed on the solar panel are obtained. The introduction of the reference surface provides a reference for the correction of the light intensity information. Since the reflectivity of the reference surface is known, the reflected light intensity information should also be known in the ideal case. By comparing the actually collected light intensity reference information with the theoretical standard proportionality value, the influence of the actual environment on the light propagation can be inferred. Then, based on the light intensity reference information, a proportionality coefficient of the light intensity reference information is confirmed. The confirmation of the proportionality coefficient is a key step of quantitatively comparing the actual light intensity information of the reference surface with the ideal state. The proportionality coefficient reflects the deviation degree between the actual illumination environment and the ideal environment, and contains the error information caused by the pollution of the surface of the solar panel, the change of the illumination angle and other factors. Finally, the standard proportionality value is adjusted by using the proportionality coefficient of the light intensity reference information, and a preset preliminary proportionality value is confirmed. By adjusting the standard proportionality value by the proportionality coefficient, the influence of environmental factors on the light intensity information can be effectively eliminated or reduced, so that a more accurate preset preliminary proportionality value is obtained. The preset preliminary proportionality value will be the basis for the subsequent light sensing tracking algorithm, and the accuracy and reliability of the light sensing tracking of the solar street lamp are improved. The scheme is combined with the scheme of adjusting by using the blue light and ultraviolet light information in the previous step, so that the influence of the spectral composition can be considered, and the overall light intensity attenuation or deviation caused by the surface pollution is further corrected, so that more accurate sun tracking can be realized in complex environment.

[0077] Based on the above embodiments, the application further provides a step of collecting light intensity information of all groups by a light sensing system for perceiving light sources on a solar street lamp, comprising:

[0078] The light sensing system for sensing light sources on the solar street lamp acquires light intensity information containing light intensity of at least two different colors from a plurality of light sensing probes. The plurality of light sensing probes refers to a set of light sensing probes with a number greater than or equal to two. These probes can be arranged at different positions of the solar street lamp or face different directions. They can be implemented by using multiple independent light sensors. The light sensing probe refers to a device that can receive light and convert it into a measurable signal. It can be implemented by using a photodiode, a photoresistor, or other elements. At the same time, the light intensity information containing light intensity of at least two different colors includes blue light and red light. It can distinguish and measure the intensity data of at least two different wavelength ranges of light. It can be implemented by setting different color filters in front of the light sensing probes or using a multispectral sensor that can distinguish different spectral components. Specifically, the light sensing system can include four light sensing probes installed on the four sides of the top of the solar street lamp, roughly facing the southeast, southwest, northwest, and northeast directions. Each light sensing probe can include a red filter and a blue filter, as well as corresponding photosensitive elements. When light is incident, part of the light passes through the red filter and is received by the first photosensitive element, measuring the red light intensity. Another part 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 red light intensity information and blue light intensity information in that direction, i.e., light intensity information containing light intensity of at least two different colors. The light sensing system collects all the red light intensity information and blue light intensity information from the four probes and uses it as the light intensity information of all groups for subsequent direction calculation. This overcomes the problem of single light intensity information being easily disturbed by the environment, improves the accuracy of solar direction determination, and makes the light sensing tracking of the solar street lamp more accurate.

[0079] Based on the above-mentioned embodiments, the application further proposes that before the step of adjusting the standard proportion value by the proportion coefficient of the light intensity reference information and confirming the preliminary proportion value, when the reference surface is contaminated by a mixture of multiple types of dust, the method comprises:

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

[0081] Based on the acquired intensity of at least three colors of light, confirming at least two groups of color light intensity proportions including the first color light intensity proportion and the auxiliary color light intensity proportion. The first color light intensity proportion and the auxiliary color light intensity proportion refer to the proportion values calculated based on the acquired color light intensity, which can reflect the relative intensity relationship between different colors of light.

[0082] The preset value of the first group of color light intensity proportions corresponding to the reference surface without the mixed pollution condition is obtained as the preset color light intensity proportion, and the preset value of the remaining group of color light intensity proportions corresponding to the reference surface without the mixed pollution condition is obtained. The preset color light intensity proportion refers to the reference value of the color light intensity proportion of the reference surface under the non-pollution condition, which can be obtained by prior measurement or calibration.

[0083] According to the difference between the first color light intensity proportion and the preset color light intensity proportion, and the difference between the auxiliary color light intensity proportion and its preset value, a correction factor is determined through a preset corresponding relationship. The preset corresponding relationship refers to a function or lookup table that maps the difference in color light intensity proportion to the correction factor, which can be obtained by fitting experimental data. The correction factor refers to a coefficient for adjusting the light intensity reference information, which can be a multiplicative factor.

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

[0085] By obtaining the intensity of at least three colors of light reflected by the reference surface under mixed pollution environment, at least two sets of color light intensity ratios are confirmed based on the intensities. The color light intensity ratios reflect the difference in the influence of pollution on the absorption or reflection of different colors of light. At the same time, the preset value of the corresponding color light intensity ratio of the reference surface under the condition of no mixed pollution is obtained as a benchmark. By comparing the difference between the color light intensity ratio under actual pollution and the preset value under no pollution, and using the preset corresponding relationship, a correction factor can be determined. The correction factor quantifies the degree and nature of the influence of mixed pollution on the light intensity reference information. Subsequently, the original light intensity reference information is corrected by the correction factor, thereby obtaining more accurate light intensity reference information. Based on the corrected light intensity reference information, a more accurate proportion coefficient of the light intensity reference information can be confirmed. The proportion coefficient is then used to adjust the standard proportion value to confirm the preset preliminary proportion value. In this way, even if the reference surface is subject to mixed pollution, a relatively accurate proportion coefficient can be obtained, making the subsequent process of adjusting the standard proportion value using the proportion coefficient to confirm the preset preliminary proportion value more reliable, thereby improving the accuracy of solar panel orientation correction, and solving the problem that the accuracy of the proportion coefficient of the light intensity reference information is affected when the reference surface is mixedly polluted by multiple types of dust. In the case of mixed pollution of the reference surface by multiple types of dust, the influence of pollution can be quantified by analyzing the color proportion change of reflected light, and the light intensity reference information is corrected by generating a correction factor. This makes the proportion coefficient of the confirmed light intensity reference information more accurate, thereby improving the accuracy of adjusting the standard proportion value using the proportion coefficient to confirm the preset preliminary proportion value, ultimately improving the accuracy of solar panel orientation correction, and ensuring effective energy collection of solar panels in a polluted environment.

[0086] Based on the above embodiments, the present application further proposes that 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, a correction factor is determined by a preset corresponding relationship, which includes:

[0087] The difference between the auxiliary color light intensity ratio and its preset value is monitored for its change characteristics. The change characteristics refer to the trend, fluctuation, rate or pattern exhibited by the difference over time or changes in environmental conditions, which can be achieved by statistical analysis, and the purpose is to capture the dynamic performance of the influence of actual pollution on the color light ratio.

[0088] judging whether a pollution influence mode represented by the preset corresponding relation deviates from an actual pollution influence mode reflected by the change feature, to obtain a judgment result. The pollution influence mode represented by the preset corresponding relation refers to a rule or model of the influence of pollution on the light intensity reference information implied or expected by the preset corresponding relation (for example, a function, a lookup table, or a rule set) when a specific color light intensity proportion difference value is input, which can be established by mathematical modeling, and the purpose is to provide an initial pollution correction model based on experience or theory.

[0089] If the judgment result shows deviation, the preset corresponding relation is adjusted to generate an adjusted corresponding relation. Adjusting the preset corresponding relation refers to modifying or optimizing the original preset corresponding relation according to the judgment result, so that it can better adapt to the actual pollution influence mode reflected by the change feature, which can be realized by a parameter adjustment method, and the purpose is to improve the accuracy of the correction factor.

[0090] The adjusted corresponding relation is used to determine the correction factor according to the difference between the first color light intensity proportion and the preset color light intensity proportion and the difference between the auxiliary color light intensity proportion and its preset value.

[0091] In this embodiment, by monitoring the change feature of the difference between the auxiliary color light intensity proportion and its preset value, dynamic information of the influence of actual pollution on the color light proportion can be obtained in real time. Based on these change features, the system can judge whether the pollution influence mode represented by the preset corresponding relation deviates from the actual situation. When deviation is detected, the system can dynamically adjust the preset corresponding relation to generate an adjusted corresponding relation that is more consistent with the current actual pollution influence mode. Finally, the adjusted corresponding relation is used to determine the correction factor. This series of steps forms an adaptive correction mechanism, so that the correction factor can more accurately reflect the actual pollution influence, thereby more accurately correcting the light intensity reference information. In this way, the scheme overcomes the limitations of the fixed corresponding relation in complex and variable pollution environments, and improves the accuracy of the light intensity reference information proportion coefficient confirmation. This dynamic adjustment mechanism combined with the basic light sensing tracking method enables the entire system to still more accurately obtain the light intensity reference information when facing complex environmental pollution, and then more reliably confirms the preset proportion value, and finally improves the precision and robustness of the solar street light light sensing tracking.

[0092] Based on the above embodiments, if the judgment result shows deviation, the preset corresponding relation is adjusted to generate an adjusted corresponding relation.

[0093] If the result of the judgment shows deviation, a first response characteristic of the corresponding relationship that has applied a once-adjusted correction factor under a preset reference input is obtained. The first response characteristic refers to the output performance of the corresponding relationship that has applied a once-adjusted correction factor 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, which represents the expected state of the corresponding relationship without the cumulative error or drift caused by long-term iterative adjustment. The 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 in an ideal state, i.e., the state without the cumulative error or drift caused by long-term iterative adjustment, which can be stored by using the response data or model of the corresponding relationship obtained in the initial calibration or known error-free state of the system.

[0095] If the difference exceeds a preset criterion, it is judged that the once-adjusted corresponding relationship has accumulated error that needs to be corrected. The preset criterion refers to a threshold or rule for judging whether the difference between the first response characteristic and the reference response characteristic is significant enough to require correction.

[0096] When it is judged that the once-adjusted corresponding relationship has accumulated error that needs to be corrected, a corrective adjustment is performed on the once-adjusted corresponding relationship to reduce the accumulated error, and the adjusted corresponding relationship is confirmed. The corrective adjustment refers to a correction process performed on the once-adjusted corresponding relationship to reduce the accumulated error, which can be implemented based on existing optimization algorithms.

[0097] In the embodiment, by introducing a mechanism of comparing the adjusted corresponding relationship response characteristic with the reference response characteristic, accumulated errors and drifts caused by long-term iterative adjustment or environmental changes can be identified and eliminated. Specifically, after the judgment result shows deviation and the preset corresponding relationship is preliminarily adjusted, the first response characteristic of the adjusted corresponding relationship under the preset reference input is further obtained. The first response characteristic reflects the actual performance of the current corresponding relationship. Then, the first response characteristic is compared with the pre-stored reference response characteristic, and the reference response characteristic represents the expected behavior of the corresponding relationship in the ideal state. By comparing the difference between the two, the deviation of the current corresponding relationship from the ideal state can be quantified. If the difference exceeds the preset criterion, it means that the corresponding relationship after one adjustment has accumulated errors that need to be corrected. At this time, the system will perform a corrective adjustment on the corresponding relationship to reduce the accumulated errors. This series of steps forms a closed-loop feedback mechanism, which not only can make preliminary adjustments according to real-time changes, but also can evaluate and correct the adjustment results in the long term, ensuring the accuracy of the corresponding relationship in the long run. It is precisely because of this evaluation and correction of the adjustment process itself that the present scheme can overcome the problem that the corresponding relationship may fail over time and accumulate errors in the prior art, continuously improve the accuracy of the correction factor, and thus improve the long-term stability and accuracy of solar tracking.

[0098] Based on the above-mentioned embodiments, the present application further proposes a step of confirming the proportion value of each group of light intensity information based on the light intensity information of all groups, which includes:

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

[0100] The intensity values of multiple different lights are compared to confirm the proportion value of each group of light intensity information.

[0101] Specifically, by confirming the proportion value of each group of light intensity information, the system no longer relies only on the overall light intensity or a single light component, but deeply analyzes the intensity values of multiple different lights contained in each group of light intensity information. Specifically, first, based on the light intensity information of all groups, the intensity values of multiple different lights in each group of light intensity information are confirmed, which enables the system to obtain the detailed distribution of light in different spectral regions. Then, the intensity values of the multiple different lights are compared to confirm the proportion value of each group of light intensity information. This proportion value reflects the relative composition of different spectral components in the light, such as the intensity proportion between different colored lights. The proportion value obtained in this way can more accurately represent the properties of the current light, such as whether it is affected by a specific color obstruction (such as leaves) or mixed with reflected light of a specific spectral component, compared to the proportion value calculated based only on the total light intensity or a single light intensity. By applying the obtained more detailed and accurate proportion value of each group of light intensity information to the subsequent comparison with the preset proportion value, the true orientation of the sunlight can be more reliably determined, effectively avoiding misjudgment caused by local obstruction, surface contamination, or reflection interference. Therefore, the present scheme provides a more solid data foundation for the determination of the orientation of the sunlight by deeply analyzing the spectral composition of the light, significantly improving the tracking accuracy in complex environments, thereby solving the problem that the understanding of the light intensity information is not comprehensive and deep enough due to the lack of deep analysis of the internal structure of each group of light intensity information, which affects the subsequent accurate determination of the orientation of the sunlight.

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

[0103] Based on the light intensity information of all groups, the intensity values of multiple different lights including red light and blue light in the light intensity information of each group are confirmed. Specifically, by confirming the intensity values of multiple different lights in the light intensity information of each group based on the light intensity information of all groups, while the intensity values of multiple different lights including red light and blue light in the light intensity information of each group are confirmed. The red light and blue light which are representative in the solar spectrum can be focused on to obtain their intensity information. Based on the intensity values of these specific spectrum, the proportional relationship reflecting the current color characteristics of the light can be calculated. This color characteristic information can more effectively distinguish the direct sunlight from the possible interference light (such as scattered light, reflected light or light affected by pollution) than the general light intensity information, because the spectral distribution of these interference lights often differs from that of the direct sunlight. By analyzing the intensity and proportion of red light and blue light, the system can more accurately determine the nature of the light source, so as to more accurately determine the position of the sun in the subsequent steps. The extraction and use of specific spectral information make the whole light sensing tracking method more effectively identify the real sun position in the complex light environment such as local occlusion, light sensing probe pollution or strong reflected light, reduce misjudgment, improve the accuracy of the position determination, and thus improve the tracking accuracy of the solar panel.

[0104] Based on any one of the above embodiments, please refer to Figure 2 The application also provides a solar street lamp light sensing tracking system, which comprises an acquisition module 210, a proportional value confirmation module 220, a position acquisition module 230, a proportional correction module 240 and a driving module 250.

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

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

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

[0108] The proportional correction module 240 is used to correct the second color light intensity proportion by applying the correction factor to obtain the corrected color light intensity proportion.

[0109] The driving module 250 is configured to obtain the tracking result of driving the solar panel towards the sun based on the azimuth information of the sunlight. The present application reduces the influence of overall light changes by obtaining multiple sets of light intensity information and calculating the proportion value. Further, by comparing the proportion value with the preset value and applying a correction factor to correct the color light intensity proportion, the system can cope with environmental disturbances such as local shading, surface contamination, or reflected light, thereby improving the ability to determine the azimuth of the sun. Based on the azimuth information, the driving module can drive the solar panel towards the sun, thereby achieving stable tracking in complex environments and improving the collection efficiency of solar energy.

[0110] The acquisition module 210 acquires multiple sets of light intensity information from the light sensing system, which reflects the light conditions in different directions or different spectra. Then, the proportion value confirmation module 220 processes the original light intensity information to calculate the proportion relationship between each set of light intensity. This proportion relationship can more stably reflect the relative position of the light source than the absolute intensity value, thereby reducing the influence of overall light changes. Next, the azimuth acquisition module 230 compares the calculated proportion value with the preset reference proportion value to preliminarily determine the azimuth of the sun. In order to further improve the determination ability, the proportion correction module 240 applies a correction factor to correct the color light intensity proportion, which can compensate for the disturbance caused by environmental factors (such as local shading, surface contamination, or reflected light) to the light intensity information, so that the obtained azimuth information is closer to the true position of the sun. Finally, the driving module 250 adjusts the driving mechanism of the solar panel according to the corrected azimuth information of the sun, so that the light receiving surface of the solar panel faces the sun. This processing procedure, especially the introduction of the proportion correction link, enables the system to overcome the shortcomings of traditional methods that are easily disturbed by complex and variable environmental light conditions, achieve stable tracking of the sun, and improve the collection efficiency of solar energy.

[0111] The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or make equivalent replacements to some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application.

Claims

1. A method for sensing and tracking solar streetlights, characterized in that, include: The light intensity information of all groups is collected by the light-sensing system that senses the light source on the solar street light. Based on the light intensity information of all groups, confirm the proportion value of the light intensity information of each group; The proportional value of each set of light intensity information is compared with the preset proportional value to obtain the directional information of sunlight; Based on the azimuth information of the sunlight, the tracking result of driving the solar panel toward the sun is obtained; Based on the light intensity information of all groups, the step of confirming the proportion value of the light intensity information of each group includes: Based on the light intensity information of all groups, confirm the intensity values ​​of multiple different lights in the light intensity information of each group; By comparing the intensity values ​​of multiple different lights, the proportion of each group of light intensity information is confirmed; Based on the light intensity information of all groups, the step of confirming the intensity values ​​of multiple different lights 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 multiple different light intensity values ​​of red and blue light; After the step of confirming the proportion of light intensity information for each group based on the light intensity information of all groups, the method further includes: Acquire blue light intensity and ultraviolet light intensity information collected by the light-sensing system on the solar street light; The blue light intensity information and the ultraviolet light intensity information are compared to obtain the ultraviolet light ratio value; The adjustment coefficient is obtained by comparing the ultraviolet light ratio value with the preset ultraviolet light threshold. Based on the adjustment coefficient and the preset initial ratio value, the preset ratio value is confirmed.

2. The solar street light sensing tracking method according to claim 1, characterized in that, The steps for obtaining the preset preliminary ratio value include: Obtain reference information and standard scale values ​​of light intensity from a reference surface with known reflectivity mounted on a solar panel; Based on the light intensity reference information, the scaling factor of the light intensity reference information is determined; The standard ratio value is adjusted using the scaling factor of the light intensity reference information to confirm the preset preliminary ratio value.

3. The solar street light sensing tracking method according to claim 1, characterized in that, The steps for obtaining light intensity information for all groups from the light-sensing system of a solar street light include: The light intensity information, which includes at least two different colors of light intensity, is obtained from multiple light sensing probes in the light sensing system of the solar street light.

4. The solar street light sensing tracking method according to claim 2, characterized in that, Before the step of adjusting the standard ratio value using the scaling factor of 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 following applies: The intensity of at least three colors of light reflected from sunlight by the reference surface in a mixed pollution environment is obtained; Based on the intensity of the at least three colors of light obtained, at least two sets of color light intensity ratios, including the intensity ratio of the first color light and the intensity ratio of the auxiliary color light, are confirmed. Obtain a preset value for the first group of color light intensity ratios corresponding to the reference surface under the condition of no mixed pollution, as a preset color light intensity ratio, and obtain preset values ​​for the other groups of color light intensity ratios corresponding to the reference surface under the condition of no mixed pollution. Based on 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, a correction factor is determined through a preset correspondence. The light intensity reference information is corrected using the correction factor to confirm the scaling factor of the light intensity reference information.

5. The solar street light sensing tracking method according to claim 4, characterized in that, The step of determining the correction factor based on 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, through a preset correspondence, includes: The variation characteristics of the difference between the intensity ratio of the auxiliary color light and its preset value are monitored; Based on the aforementioned change characteristics, it is determined whether the pollution impact pattern represented by the preset correspondence deviates from the actual pollution impact pattern reflected by the change characteristics, and a judgment result is obtained. If the judgment result shows a deviation, the preset correspondence is adjusted to generate an adjusted correspondence. The correction factor is determined by using the adjusted correspondence and based on 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.

6. The solar street light sensing tracking method according to claim 5, characterized in that, If the judgment result shows a deviation, the steps to adjust the preset correspondence and generate the adjusted correspondence include: If the judgment result shows a deviation, then the first response characteristic of the correspondence that has been applied to determine the correction factor after one adjustment is obtained under the preset benchmark input. The difference between the first response characteristic and the pre-stored reference response characteristic is determined by comparing the first response characteristic with the reference response characteristic, which characterizes the expected state of the correspondence when no cumulative error or drift caused by long-term iterative adjustment occurs. If the difference exceeds the preset criterion, it is determined that the correspondence that has been adjusted once has accumulated an error that needs to be corrected. When it is determined that the correspondence that has been adjusted once has accumulated an error that needs to be corrected, a corrective adjustment is performed on the correspondence that has been adjusted once with the aim of reducing the accumulated error, and the adjusted correspondence is confirmed.

7. A solar street light sensing and tracking system, characterized in that, The system includes: The acquisition module is used to acquire light intensity information of all groups collected by the light sensing system of the solar street light's light source. The ratio value confirmation module is used to confirm the ratio value of each group of light intensity information based on the light intensity information of all groups; The orientation acquisition module is used to compare the ratio value of each set of light intensity information with a preset ratio value to obtain the orientation information of sunlight; The driving module is used to obtain the tracking result of driving the solar panel toward the sun based on the azimuth information of the sunlight; Based on the light intensity information from all groups, the proportional values ​​for each group of light intensity information are confirmed as follows: Based on the light intensity information of all groups, confirm the intensity values ​​of multiple different lights in the light intensity information of each group; By comparing the intensity values ​​of multiple different lights, the proportion of each group of light intensity information is confirmed; Based on the light intensity information of all groups, the intensity values ​​of multiple different lights in the light intensity information of each group are confirmed to include: Based on the light intensity information of all groups, it is confirmed that the light intensity information of each group includes multiple different light intensity values ​​of red and blue light; After confirming the proportion of light intensity information for each group based on the light intensity information of all groups, the process further includes: Acquire blue light intensity and ultraviolet light intensity information collected by the light-sensing system on the solar street light; The blue light intensity information and the ultraviolet light intensity information are compared to obtain the ultraviolet light ratio value; The adjustment coefficient is obtained by comparing the ultraviolet light ratio value with the preset ultraviolet light threshold. Based on the adjustment coefficient and the preset initial ratio value, the preset ratio value is confirmed.

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