An adaptive regulation system and method based on energy-saving street lamps

Abstract

The application discloses an adaptive regulation and control system and method based on energy-saving street lamps, belongs to the technical field of street lamp control, collects natural light intensity change records in a street lamp working environment, obtains a reference curve of street lamp operation parameters changing with time, and when the street lamp is working, first supplies power to the street lamp through a power storage device; when it is detected that the road surface illumination irradiated by the street lamp is lower than a brightness threshold value, the natural light intensity in the street lamp working environment and the working parameters of the street lamp are acquired, the expected working duration is calculated through a first model and a second model, the power energy shortage prediction value of the power storage device is calculated, the power energy shortage prediction values are summed to obtain the total power shortage, the power storage device stops supplying power to part of the street lamps, so that the power consumption prediction value of the part of the street lamps is equal to the total power shortage, and the power supply mode of the part of the street lamps is switched to grid power supply.

Description

Technical Field

[0001] This invention relates to the field of street light control technology, specifically to an adaptive control system and method based on energy-saving street lights. Background Technology

[0002] Streetlights play a vital role in urban lighting, not only enhancing urban illumination but also providing strong support for traffic safety. Streetlights have relatively fixed operating hours, resulting in relatively fixed energy costs. Therefore, reducing energy consumption while ensuring effective illumination has become a key challenge for streetlight designers.

[0003] With the introduction of new technologies and materials, the light source of streetlights has been changed from traditional incandescent lamps to LED light-emitting diodes. Solar power generation and energy storage technologies have also been introduced to convert collected solar energy into electrical energy and store it in power storage devices to supplement the power consumption of streetlights.

[0004] One drawback of powering streetlights with energy storage devices is that when the stored power in the devices is depleted, the luminous intensity of the streetlights is limited, failing to provide sufficient illumination to the illuminated area and thus posing a hazard to pedestrians or vehicles on the road. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive control system and method based on energy-saving streetlights to solve the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an adaptive control system and method based on energy-saving streetlights.

[0007] The methods include:

[0008] Step S100: Collect records of natural light intensity changes in the street light working environment, establish a first model of natural light intensity changes with time in the street light working environment and a second model of street light brightness adjusting with natural light intensity, obtain brightness information of natural light in the street light working environment, obtain the predicted time of street light operation through the first model, and obtain the reference curve of street light operating parameters changing with time through the second model.

[0009] Step S200: Power the streetlights through the power storage device and the grid power, and support switching between the two power supply modes. When the streetlights are working, the power storage device first powers the streetlights. When the illuminance of the road surface illuminated by the streetlights is detected to be lower than the brightness threshold, the natural light intensity in the working environment of the streetlights and the working parameters of the streetlights are obtained. The expected working time is calculated through the first model and the second model, and the reference change curve of the target streetlight operating parameters is plotted.

[0010] Step S300: Based on the lighting requirements within the streetlight's illumination range and in conjunction with the streetlight's performance parameters, adjust the streetlight's operating parameters during operation. When the illuminance within the streetlight's illumination range is lower than the lighting requirements, obtain the predicted attenuation curve of the streetlight's operating parameters over time.

[0011] Step S400: Calculate the difference between the reference change curve and the predicted attenuation curve of the same operating parameter of the street lamp, obtain the predicted value of the power shortage of the power storage device within the expected working time range, and sum the predicted value of the power shortage to obtain the total power shortage.

[0012] Step S500: Obtain the predicted power consumption of streetlights within the expected working time range, select a number of streetlights from those powered by power storage devices and add them to the streetlight control group, so that the predicted power consumption of streetlights in the streetlight control group is equal to the total power shortage, and switch the power supply mode of the streetlights in the streetlight control group to grid power supply.

[0013] Furthermore, step S100 includes:

[0014] Step S101: Obtain the model for the time series prediction task. Train the model using records of natural light intensity changes in the streetlight working environment to obtain the first model.

[0015] Step S102: Obtain the illuminance information of the working surface of the street lamp and the corresponding parameters of the street lamp. Based on the variation law of natural light intensity in the working environment of the street lamp, adjust the working parameters of the street lamp to obtain the second model.

[0016] By using the first and second models, the variation patterns of natural light are correlated with the operating parameters of streetlights, and the variation patterns of streetlight operating parameters over time are obtained.

[0017] Furthermore, step S200 includes:

[0018] Step S201: Select one street light as the target street light from several street lights in a road segment, obtain the natural light intensity in the area D around the target street light, and predict the change of natural light intensity using the first model;

[0019] Step S202: Set the natural light intensity management threshold, and obtain the time it takes for the natural light intensity in the surrounding area D to change to the natural light intensity management threshold, denoted as the estimated working time T. p ;

[0020] Step S203: Acquire the illuminance of the target streetlight's illumination area, set a management threshold for the illuminance of the target streetlight's illumination area, and, under the condition that the illuminance of the target streetlight's illumination area is greater than or equal to the management threshold, use the second model to analyze the illuminance of the target streetlight in T...p Predict changes in operating parameters over a time period and plot reference change curves for the target streetlight's operating parameters.

[0021] Controlling the brightness of streetlights by controlling their operating voltage is a common method. The reference change curve of the target streetlight's operating parameters refers to the operating voltage required by the target streetlight when it provides sufficient illumination. By predicting changes in natural light, the change in the operating voltage required by the target streetlight can be calculated.

[0022] Furthermore, step S300 includes:

[0023] Step S301: Check the illuminance in the illumination area of ​​the target street light, and record the time when the illuminance in the illumination area of ​​the target street light is less than the management threshold as t0. Obtain the operating parameters U of the target street light at time t0. a The changing trend of the target street light's operating parameters and the current natural light intensity E during the time period T0 before time t0. nature ;

[0024] Step S302: Obtain the historical variation patterns of the target streetlight's operating parameters when the power storage device supplies power to the target streetlight, and then use U... a The decay trend of the target street light operating parameters during the T0 time period is used to plot the predicted decay curve of the target street light operating parameters as a function of time during the time period after t0.

[0025] The predicted decay curve of operating parameters over time indicates the decay law of street light operating parameters over time. By analyzing street lights, the remaining energy of the power storage device can be reflected. Directly measuring the remaining power of the power storage device often results in a large deviation between the measurement result and the actual situation. Therefore, from the perspective of street light usage, the actual usage law of street lights is analyzed, and the change law of the operating voltage of street lights is calculated to reflect the remaining power in the power storage device, so that the predicted result is closer to the actual situation.

[0026] Furthermore, step S400 includes:

[0027] Step S401: Calculate the reference attenuation F of the target street light's operating parameter k. k , Among them, f k (t) represents the functional relationship between the reference curve of the operating parameter k and time t;

[0028] Calculate the predicted attenuation G of the target street light's operating parameter k. k , Among them, g k (t) represents the functional relationship between the decay curve of the operating parameter k and time t;

[0029] Step S402: Calculate the target street light at T p Predicted power shortage r during the time period T r T =α k ×(F k -G k ), where α k This indicates the conversion coefficient of operating parameter k to electricity consumption when the operating parameter k is selected.

[0030] Step S403: Obtain the number n of streetlights in the road segment, where n streetlights are powered by the same energy storage device, and calculate the total power shortage R. T , Where, r i T This represents the predicted energy shortage of the i-th street light out of n street lights in a given road segment.

[0031] Furthermore, step S500 includes:

[0032] Step S501: Calculate the reference attenuation of the operating parameter k of each street light in the aforementioned road segment, and convert the reference attenuation to T using a conversion factor. p The predicted power consumption values ​​for each street light within a given time period are sorted from largest to smallest to obtain a sequence of predicted power consumption values.

[0033] The predicted energy consumption refers to the energy consumption of each street light in the energy storage device within a certain time range;

[0034] Step S502: Calculate the cumulative value Q of the first y predicted energy consumption values ​​in the predicted energy consumption value sequence. add , Where q j Let j represent the j-th predicted energy consumption value in the sequence of predicted energy consumption values, where... F j k This represents the reference attenuation of the operating parameter k of the streetlight corresponding to the j-th predicted energy consumption value, under the condition: Q add ≤R T When y is at its maximum, solve for y;

[0035] G j kThis represents the predicted power consumption of the streetlight corresponding to the j-th predicted power consumption value in the future. The predicted power consumption values ​​are arranged from largest to smallest in order to ensure the stability of the entire power system. Streetlights with high power demand are extracted and given priority for power supply mode switching.

[0036] Step S503: Obtain the streetlights corresponding to the first y predicted power consumption values, record the streetlights in the streetlight control group, obtain the position of each streetlight in the streetlight control group in the road segment, and switch the power supply mode of all streetlights in the streetlight control group to grid power supply.

[0037] To better implement the above method, an adaptive control system based on energy-saving streetlights is also proposed. The system includes a model management module, a power shortage calculation module, and a power switching module. The model management module is used to manage historical records and streetlight parameter information, and to establish a model for predicting changes in streetlight parameters. The power shortage calculation module is used to calculate the total power shortage based on the predicted values ​​of streetlight parameter changes. The power switching module is used to switch the power supply mode of the streetlights from power storage devices to grid power supply when certain conditions are met.

[0038] Furthermore, the model management module includes: a history record management unit, a first model management unit, a second model management unit, and an operating parameter trend management unit. The history record management unit is used to manage the history record of street light operating parameters. The first model management unit is used to manage the first model of natural light variation. The second model management unit is used to manage the second model of operating parameters changing over time. The operating parameter trend management unit is used to manage the predictive attenuation model of street light parameters changing over time.

[0039] Furthermore, the power shortage calculation module includes: a reference attenuation calculation unit, a predicted attenuation calculation unit, and a power shortage calculation unit. The reference attenuation calculation unit calculates the reference attenuation of the streetlights using a reference change curve; the predicted attenuation calculation unit calculates the predicted attenuation of the streetlights using a predicted attenuation curve; and the power shortage calculation unit calculates the predicted power shortage value and the total power shortage.

[0040] Furthermore, the power switching module includes: a predicted value sequence management unit, a predicted value accumulation unit, a rule management unit, and a switching unit. The predicted value sequence management unit is used to sort the predicted power consumption values, the predicted value accumulation unit is used to accumulate the predicted power consumption values, the rule management unit selects the streetlights for power supply mode switching, and the switching unit is used to switch between the power supply modes of the streetlights.

[0041] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention extracts the variation curve of the natural light in the street light usage environment to obtain the variation curve of the street light operating parameters. By predicting the working time of the street light, the power shortage in the power storage device is predicted. Street lights with large predicted power consumption are extracted and switched to grid power supply. This not only helps to ensure that the road lighting is not affected by the power shortage in the power storage device, but also makes the street light and the power storage device operate in a safe operating parameter environment, which helps to extend the service life of the energy-saving street light system. Attached Figure Description

[0042] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0043] Figure 1 This is a schematic diagram of the structure of an adaptive control system based on energy-saving streetlights according to this invention patent;

[0044] Figure 2 This is a flowchart illustrating an adaptive control method based on energy-saving streetlights according to this invention patent.

[0045] Figure 3 This is a schematic diagram illustrating the changes in street light operating parameters according to an adaptive control method for energy-saving street lights, based on this invention patent. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] Please see Figure 1 , Figure 2 and Figure 3 The present invention provides the following technical solution:

[0048] Step S100: Collect records of natural light intensity changes in the street light working environment, establish a first model of natural light intensity changes with time in the street light working environment and a second model of street light brightness adjusting with natural light intensity, obtain brightness information of natural light in the street light working environment, obtain the predicted time of street light operation through the first model, and obtain the reference curve of street light operating parameters changing with time through the second model.

[0049] Step S100 includes:

[0050] Step S101: Obtain the model for the time series prediction task. Train the model using records of natural light intensity changes in the streetlight working environment to obtain the first model.

[0051] During implementation, records of changes in natural light are collected, and models based on time series prediction tasks, such as ARIMA and LSTM models, are used to extract and predict the patterns of changes in natural light over time.

[0052] Step S102: Obtain the illuminance information of the working surface of the street lamp and the corresponding parameters of the street lamp. Based on the variation law of natural light intensity in the working environment of the street lamp, adjust the working parameters of the street lamp to obtain the second model.

[0053] The power storage device in this embodiment adopts a constant current discharge method. Constant current discharge (CC Discharge) is the most common discharge method for batteries. During the entire discharge process, the current remains constant while the voltage gradually decreases to the termination voltage, and the discharge ends.

[0054] Based on the constant current discharge method adopted by the power storage device, the street light operating parameters in this embodiment are selected from the street light operating voltage, and the reference curve of the street light operating parameters changing with time is the curve of the street light operating voltage changing with time.

[0055] Step S200: Power the streetlights through the power storage device and the grid power, and support switching between the two power supply modes. When the streetlights are working, the power storage device first powers the streetlights. When the illuminance of the road surface illuminated by the streetlights is detected to be lower than the brightness threshold, the natural light intensity in the working environment of the streetlights and the working parameters of the streetlights are obtained. The expected working time is calculated through the first model and the second model, and the reference change curve of the target streetlight operating parameters is plotted.

[0056] Step S200 includes:

[0057] Step S201: Select one street light as the target street light from several street lights in a road segment, obtain the natural light intensity in the area D around the target street light, and predict the change of natural light intensity using the first model;

[0058] Step S202: Set the natural light intensity management threshold, and obtain the time it takes for the natural light intensity in the surrounding area D to change to the natural light intensity management threshold, denoted as the estimated working time T. p ;

[0059] Step S203: Acquire the illuminance of the target streetlight's illumination area, set a management threshold for the illuminance of the target streetlight's illumination area, and, under the condition that the illuminance of the target streetlight's illumination area is greater than or equal to the management threshold, use the second model to analyze the illuminance of the target streetlight in T... p Predict changes in operating parameters over a time period and plot reference change curves for the target streetlight's operating parameters;

[0060] The "Urban Road Lighting Design Standard" (CJJ45-2015), promulgated in 2015, specifies the lighting methods and light intensity of streetlights under different road surface conditions. In the implementation process, the relevant light intensity values ​​in the "Urban Road Lighting Design Standard" can be used to set the management threshold of light intensity.

[0061] Step S300: Based on the lighting requirements within the streetlight's illumination range and in conjunction with the streetlight's performance parameters, adjust the streetlight's operating parameters during operation. When the illuminance within the streetlight's illumination range is lower than the lighting requirements, obtain the predicted attenuation curve of the streetlight's operating parameters over time.

[0062] Step S300 includes:

[0063] Step S301: Check the illuminance in the illumination area of ​​the target street light, and record the time when the illuminance in the illumination area of ​​the target street light is less than the management threshold as t0. Obtain the operating parameters U of the target street light at time t0. a The changing trend of the target street light's operating parameters and the current natural light intensity E during the time period T0 before time t0. nature ;

[0064] Step S302: Obtain the historical variation patterns of the target streetlight's operating parameters when the power storage device supplies power to the target streetlight, and then use U... a The decay trend of the target street light operating parameters during the T0 time period is used to plot the predicted decay curve of the target street light operating parameters as a function of time during the time period after t0.

[0065] Step S400: Calculate the difference between the reference change curve and the predicted attenuation curve of the same operating parameter of the street lamp, obtain the predicted value of the power shortage of the power storage device within the expected working time range, and sum the predicted value of the power shortage to obtain the total power shortage.

[0066] Step S400 includes:

[0067] Step S401: Calculate the reference attenuation F of the target street light's operating parameter k. k , Among them, f k(t) represents the functional relationship between the reference curve of the operating parameter k and time t;

[0068] Calculate the predicted attenuation G of the target street light's operating parameter k. k , Among them, g k (t) represents the functional relationship between the decay curve of the operating parameter k and time t;

[0069] Figure 3 In the context of an energy storage device, u1(t) represents the change in the streetlight's operating voltage when adjusting the streetlight's brightness to achieve the desired effect. t off This indicates the time when the streetlights will be turned off when the road surface brightness does not require additional lighting, and the estimated operating time T of the streetlights at time 0. p Make a prediction from time 0 to t off The time interval between moments is T. p u off Indicates at t off The corresponding operating voltage of the streetlights before the lights are turned off;

[0070] u cf This represents the cutoff voltage of the streetlight. When the voltage provided by the energy storage device is lower than the cutoff voltage of the streetlight, the streetlight cannot provide illumination. Based on the historical variation patterns of the target streetlight's operating parameters, the operating voltage of the streetlight is attenuated to u. cf The duration is predicted, and the operating voltage of the street light decays to u. cf The time is t cf ;

[0071] The street light operating voltage U at time 0 a The operating voltage of the streetlights is acquired and predicted. The curve of u2(t) predicting the operating voltage of the streetlights is given. b This indicates the operating voltage that the streetlight needs to reach in order to meet the lighting conditions at time 0.

[0072] Calculate F respectively k and G k ,in,

[0073] Step S402: Calculate the target street light at T p Predicted power shortage r during the time period T r T =α k ×(F k -G k ), where α k This indicates the conversion coefficient of operating parameter k to electricity consumption when the operating parameter k is selected.

[0074] Because a constant current discharge method is used, the current provided by the energy storage device is a fixed value I, in the embodiment α k Take a current magnitude I such that r T The calculation results represent the energy of the power storage device, in joules;

[0075] Step S403: Obtain the number n of streetlights in the road segment, where n streetlights are powered by the same energy storage device, and calculate the total power shortage R. T , Where, r i T This represents the predicted energy shortage of the i-th street light out of n street lights in a given road segment.

[0076] Step S500: Obtain the predicted power consumption of streetlights within the expected working time range, select a number of streetlights from those powered by power storage devices and record them in the streetlight control group, so that the predicted power consumption of streetlights in the streetlight control group is equal to the total power shortage, and switch the power supply mode of streetlights in the streetlight control group to grid power supply.

[0077] Step S500 includes:

[0078] Step S501: Calculate the reference attenuation of the operating parameter k of each street light in the aforementioned road segment, and convert the reference attenuation to T using a conversion factor. p The predicted power consumption values ​​for each street light within a given time period are sorted from largest to smallest to obtain a sequence of predicted power consumption values.

[0079] Step S502: Calculate the cumulative value Q of the first y predicted energy consumption values ​​in the predicted energy consumption value sequence. add , Where q j Let j represent the j-th predicted energy consumption value in the sequence of predicted energy consumption values, where... F j k This represents the reference attenuation of the operating parameter k of the streetlight corresponding to the j-th predicted energy consumption value, under the condition: Q add ≤R T When y is at its maximum, solve for y;

[0080] Step S503: Obtain the streetlights corresponding to the first y predicted power consumption values, record the streetlights in the streetlight control group, obtain the position of each streetlight in the streetlight control group in the road segment, and switch the power supply mode of all streetlights in the streetlight control group to grid power supply.

[0081] For example, preliminary calculations showed a total power shortage of 4.32 × 10⁻⁶. 7 Calculate the time from 0 to t for five streetlights connected to the same energy storage device in joules (equivalent to 12 kilowatt-hours). cf The electricity consumption at any given time is collected and sorted from largest to smallest to obtain the predicted electricity consumption value sequence (in kilowatt-hours) {5.2, 4.8, 4.6, 4.4, 4.0}. Since 5.2 + 4.8 = 10 ≤ 12, y = 2 is the maximum value that meets the requirements. Therefore, the first two values ​​in the predicted electricity consumption value sequence correspond to the streetlights for power supply mode switching.

[0082] The system includes:

[0083] Model management module, power shortage calculation module, and power switching module;

[0084] The model management module is used to manage historical records and street light parameter information, and to establish a model for predicting changes in street light parameters. The model management module includes: a historical record management unit, a first model management unit, a second model management unit, and an operating parameter trend management unit. The historical record management unit is used to manage the historical records of street light operating parameters. The first model management unit is used to manage the first model of natural light variation. The second model management unit is used to manage the second model of operating parameters changing over time. The operating parameter trend management unit is used to manage the predictive attenuation model of street light parameters changing over time.

[0085] The power shortage calculation module is used to calculate the total power shortage based on the predicted values ​​of changes in street light parameters. The power shortage calculation module includes: a reference attenuation calculation unit, a predicted attenuation calculation unit, and a power shortage calculation unit. The reference attenuation calculation unit is used to calculate the reference attenuation of the street light based on the reference change curve. The predicted attenuation calculation unit is used to calculate the predicted attenuation of the street light based on the predicted attenuation curve. The power shortage calculation unit is used to calculate the predicted value of the power shortage and the total power shortage.

[0086] The power switching module is used to switch the power supply mode of streetlights from power storage devices to grid power supply when certain conditions are met. The power switching module includes a prediction value sequence management unit, a prediction value accumulation unit, a rule management unit, and a switching unit. The prediction value sequence management unit is used to sort the predicted power consumption values, the prediction value accumulation unit is used to accumulate the predicted power consumption values, the rule management unit selects the streetlights to switch power supply modes, and the switching unit is used to switch the power supply modes of streetlights.

[0087] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0088] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An adaptive control method based on energy-saving streetlights, characterized in that, The method includes the following steps: Step S100: Collect records of natural light intensity changes in the street light working environment, establish a first model of natural light intensity changes with time in the street light working environment and a second model of street light brightness adjusting with natural light intensity, obtain brightness information of natural light in the street light working environment, obtain the predicted time of street light operation through the first model, and obtain the reference curve of street light operating parameters changing with time through the second model. Step S200: Power the streetlights through the power storage device and the grid power, and support switching between the two power supply modes. When the streetlights are working, the power storage device first powers the streetlights. When the illuminance of the road surface illuminated by the streetlights is detected to be lower than the brightness threshold, the natural light intensity in the working environment of the streetlights and the working parameters of the streetlights are obtained. The expected working time is calculated through the first model and the second model, and the reference change curve of the target streetlight operating parameters is plotted. Step S300: Based on the lighting requirements within the streetlight's illumination range and in conjunction with the streetlight's performance parameters, adjust the streetlight's operating parameters during operation. When the illuminance within the streetlight's illumination range is lower than the lighting requirements, obtain the predicted attenuation curve of the streetlight's operating parameters over time. Step S300 includes: Step S301: Check the illuminance in the illumination area of ​​the target street light, and record the time when the illuminance in the illumination area of ​​the target street light is less than the management threshold as t0. Obtain the operating parameters U of the target street light at time t0. a The changing trend of the target street light's operating parameters and the current natural light intensity E during the time period T0 before time t0. nature ; Step S302: Obtain the historical variation patterns of the target streetlight's operating parameters when the power storage device supplies power to the target streetlight, and then use U... a The decay trend of the target street light operating parameters during the T0 time period is used to plot the predicted decay curve of the target street light operating parameters as a function of time during the time period after t0. Step S400: Calculate the difference between the reference change curve and the predicted attenuation curve of the same operating parameter of the street lamp, obtain the predicted value of the power shortage of the power storage device within the expected working time range, and sum the predicted value of the power shortage to obtain the total power shortage. Step S400 includes: Step S401: Calculate the reference attenuation F of the target street light's operating parameter k. k， , where f k (t) represents the functional relationship between the reference curve of the operating parameter k and time t; Calculate the predicted attenuation G of the target street light's operating parameter k. k , , where g k (t) represents the functional relationship between the decay curve of the operating parameter k and time t; Step S402: Calculate the target street light at T p Predicted power shortage r during the time period T r T =α k ×(F k -G k ), where α k This indicates the conversion coefficient of operating parameter k to electricity consumption when the operating parameter k is selected. Step S403: Obtain the number of streetlights n in a road segment, where n streetlights are powered by the same energy storage device, and calculate the total power shortage R. T , , where r i T This represents the predicted energy shortage value of the i-th street light out of n street lights in a given road segment. Step S500: Obtain the predicted power consumption of streetlights within the expected working time range, select a number of streetlights from those powered by power storage devices and add them to the streetlight control group, so that the predicted power consumption of streetlights in the streetlight control group is equal to the total power shortage, and switch the power supply mode of the streetlights in the streetlight control group to grid power supply.

2. The adaptive control method based on energy-saving streetlights according to claim 1, characterized in that: Step S100 includes: Step S101: Obtain the model for the time series prediction task. Train the model using records of natural light intensity changes in the streetlight working environment to obtain the first model. Step S102: Obtain the illuminance information of the working surface of the street lamp and the corresponding parameters of the street lamp. Based on the variation law of natural light intensity in the working environment of the street lamp, adjust the working parameters of the street lamp to obtain the second model.

3. The adaptive control method based on energy-saving streetlights according to claim 2, characterized in that: Step S200 includes: Step S201: Select one street light as the target street light from several street lights in a road segment, obtain the natural light intensity in the area D around the target street light, and predict the change of natural light intensity using the first model; Step S202: Set the natural light intensity management threshold, and obtain the time it takes for the natural light intensity in the surrounding area D to change to the natural light intensity management threshold, denoted as the estimated working time T. p ; Step S203: Acquire the illuminance of the target streetlight's illumination area, set a management threshold for the illuminance of the target streetlight's illumination area, and, under the condition that the illuminance of the target streetlight's illumination area is greater than or equal to the management threshold, use the second model to analyze the illuminance of the target streetlight in T... p Predict changes in operating parameters over a time period and plot reference change curves for the target streetlight's operating parameters.

4. The adaptive control method based on energy-saving streetlights according to claim 3, characterized in that: Step S500 includes: Step S501: Calculate the reference attenuation of the operating parameter k of each street light in the aforementioned road segment, and convert the reference attenuation to T using a conversion factor. p The predicted power consumption values ​​for each street light within a given time period are sorted from largest to smallest to obtain a sequence of predicted power consumption values. Step S502: Calculate the cumulative value Q of the first y predicted energy consumption values ​​in the predicted energy consumption value sequence. add , , where q j Let j represent the j-th predicted energy consumption value in the sequence of predicted energy consumption values, where... F j k This represents the reference attenuation of the operating parameter k of the streetlight corresponding to the j-th predicted energy consumption value, under the condition: Q add ≤R T When y is at its maximum, solve for y; Step S503: Obtain the streetlights corresponding to the first y predicted power consumption values, record the streetlights in the streetlight control group, obtain the position of each streetlight in the streetlight control group in the road segment, and switch the power supply mode of all streetlights in the streetlight control group to grid power supply.

5. An adaptive control system for implementing the adaptive control method for energy-saving streetlights according to any one of claims 1-4, characterized in that, The system includes the following modules: The system includes a model management module, a power shortage calculation module, and a power switching module. The model management module manages historical records and street light parameter information, and establishes a model for predicting changes in street light parameters. The power shortage calculation module calculates the total power shortage based on the predicted values ​​of street light parameter changes. The power switching module switches the power supply mode of the street lights from power storage devices to grid power supply when certain conditions are met.

6. The adaptive control system according to claim 5, characterized in that: The model management module includes: a history record management unit, a first model management unit, a second model management unit, and an operating parameter trend management unit. The history record management unit is used to manage the historical records of street light operating parameters. The first model management unit is used to manage the first model of natural light variation. The second model management unit is used to manage the second model of operating parameters changing over time. The operating parameter trend management unit is used to manage the predictive attenuation model of street light parameters changing over time.

7. The adaptive control system according to claim 5, characterized in that: The power shortage calculation module includes: a reference attenuation calculation unit, a predicted attenuation calculation unit, and a power shortage calculation unit. The reference attenuation calculation unit is used to calculate the reference attenuation of the street light through a reference change curve. The predicted attenuation calculation unit is used to calculate the predicted attenuation of the street light through a predicted attenuation curve. The power shortage calculation unit is used to calculate the predicted power shortage value and the total power shortage.

8. The adaptive control system according to claim 5, characterized in that: The power switching module includes: a predicted value sequence management unit, a predicted value accumulation unit, a rule management unit, and a switching unit. The predicted value sequence management unit is used to sort the predicted power consumption values, the predicted value accumulation unit is used to accumulate the predicted power consumption values, the rule management unit selects the streetlights to switch power supply modes, and the switching unit is used to switch the power supply modes of the streetlights.

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