Solar street lamp intelligent control system based on Internet of Things

Abstract

The invention discloses a solar street lamp intelligent control system based on the Internet of Things, and particularly relates to the field of Internet of Things control. Comprising a surrounding environment data acquisition module, a solar street lamp rule setting module, a solar street lamp performance judgment module, a solar street lamp intelligent control module, an execution rule change acquisition module, a solar street lamp control quality calculation module and an intelligent control report output module. According to the solar street lamp intelligent control system based on the Internet of Things, efficient utilization of energy is achieved through cooperative work of solar street lamp rule setting module subunits; the solar street lamp performance judgment module compares the surrounding environment data with the first execution rule, judges whether the execution rule of the solar street lamp needs to be adjusted or not, and sends an adjustment signal to regulate and control the solar street lamp in real time, so that the adaptability of the street lamp system in different environments is improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things control technology, and more specifically, to an Internet of Things-based solar street lamp intelligent control system. Background Art

[0002] With the continuous advancement of information technology and the concept of sustainable development, the Internet of Things has realized remote collection, monitoring and management of data by connecting various devices, greatly improving the intelligence level and energy utilization efficiency of lighting systems.

[0003] Traditional street light management systems often require manual regular inspection and maintenance, and are unable to automatically adjust brightness according to real-time environmental changes or detect faults in a timely manner. The solar street light intelligent control system based on the Internet of Things has brought significant positive impacts to urban lighting management.

[0004] However, in actual use, it still has some shortcomings. For example, it cannot guarantee continuous and stable lighting in the case of insufficient light such as continuous rainy days; it cannot make dynamic adjustments based on actual conditions such as traffic flow; the compatibility between solar street lights and control systems produced by different manufacturers is poor, which brings certain difficulties to large-scale promotion and unified management. Summary of the invention

[0005] In order to overcome the above defects of the prior art, the present invention provides a solar street light intelligent control system based on the Internet of Things, which solves the problems raised in the above background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An intelligent control system for solar street lights based on the Internet of Things, including a system operation database, a system central processing module and a user information terminal, and also includes:

[0008] The system operation database includes all data texts of the solar street light intelligent control system, and collects the information texts output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is an information output device for receiving the solar street light intelligent control system;

[0009] Surrounding environment data acquisition module: used to monitor the performance parameters of solar panels and solar street lights in the area where the solar street lights are located in real time through sensors, and send the collected data to the solar street light rule setting module and lighting demand judgment module;

[0010] Solar street light rule setting module: used to set the first execution rule for solar street lights on different road sections, and at the same time set the first output current and the first output voltage of the solar panel, the first angle of the solar panel, the first brightness of the solar street light, and the on and off time of the solar street light, and send the set rules to the solar street light performance judgment module;

[0011] Solar street light performance judgment module: used to compare the data collected by the surrounding environment data collection module with the first execution rule transmitted by the solar street light rule setting module, and judge whether the solar street light execution rule needs to be adjusted. If adjustment is required, an adjustment signal is sent to the solar street light intelligent control module;

[0012] Solar street light intelligent control module: used to generate a second execution rule after receiving the adjustment signal, and adjust the operation mode, energy management strategy, and performance optimization target of the solar street light on the target road section according to the second execution rule;

[0013] Execution rule change acquisition module: used to compare the first execution rule of the solar street lamp with the second execution rule of the solar street lamp, record the change rule and transmit it to the solar street lamp control quality calculation module;

[0014] Solar street light control quality calculation module: calculates the solar street light control quality index based on the solar street light control optimization coefficient, the solar street light average brightness control matching degree and the solar street light average adjustment timeliness;

[0015] Intelligent control report output module: used to integrate and format the judgment conclusions, control decision results and related data analysis of the solar street light control quality calculation module to generate a solar street light intelligent control report.

[0016] Preferably, the surrounding environment data acquisition module includes a solar panel performance parameter acquisition unit, a solar street light performance parameter acquisition unit, a personnel flow sensing unit in the area where the solar street light is located, a vehicle traffic sensing unit in the area where the solar street light is located, and a surrounding environment data output unit. Specifically, the solar panel performance parameter acquisition unit uses a photosensitive sensor to collect in real time the solar radiation intensity SRi, the solar altitude angle variation law SPa, the sunshine time variation range SDr, the incident angle θ between the solar panel and the sun's rays, the temperature coefficient angle φ of the solar panel, and the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions; specifically, the solar street light performance parameter acquisition unit uses a photosensitive sensor to collect in real time the light brightness data of the area where the solar street light is located; specifically, the personnel flow sensing unit in the area where the solar street light is located obtains the personnel distribution in different areas of the factory through an infrared sensing device; specifically, the vehicle traffic sensing unit in the area where the solar street light is located obtains the vehicle traffic information in the area where the solar street light is located through an infrared sensing device; specifically, the surrounding environment data output unit sends it to the solar street light rule setting module and the lighting demand judgment module.

[0017] Preferably, the solar street light rule setting module includes a solar panel performance parameter setting unit, a solar street light performance parameter setting unit, a first execution rule setting unit, and a first execution rule output unit. Specifically, the solar panel performance parameter setting unit sets the first output current of the solar panel, represented by Foc, the first output voltage, represented by Fov, and the first angle of the solar panel, represented by Fa, based on different geographical locations, seasonal changes, and solar altitude angles; specifically, the solar street light performance parameter setting unit sets the first brightness of the solar street light based on the actual lighting requirements of different road sections and ambient lighting conditions. , represented by Fb, the turn-on time of the solar street light, represented by SONt, and the turn-off time of the solar street light, represented by SOFFt; specifically, the first execution rule setting unit constitutes the first execution rule of the solar street light on different road sections based on the first output current, the first output voltage, and the first angle of the solar panel set by the solar panel performance parameter setting unit and the first brightness of the solar street light, the turn-on time of the solar street light, and the turn-off time of the solar street light set by the solar street light performance parameter setting unit; specifically, the first execution rule output unit sends the set first execution rule to the solar street light performance judgment module.

[0018] Preferably, the first execution rule setting unit in the solar street light rule setting module provides a method for setting the first execution rule of a solar street light, comprising the following steps:

[0019] A1. Based on different longitude and latitude regions, a database is established to obtain typical solar radiation intensity SRi and angle variation law SPa;

[0020] A2. Determine the first angle Fa of the solar panel based on the solar altitude angle variation law SPa and the sunshine time variation range SDr in different seasons;

[0021] A3. Based on the real-time monitored solar altitude angle variation law SPa, the incident angle θ between the solar panel and the sun's rays, and the temperature coefficient angle φ of the solar panel, and according to the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions recorded in the database, the first output current Foc of the solar panel is calculated as Foc=Isc×cos(θ); the first output voltage Fov=Voc×cos(φ);

[0022] A4. Based on the actual lighting needs of different road sections, including graded traffic flow and pedestrian density, the first brightness Fb of the solar street lamp is set according to the principle values ​​of 11x, 14x, 17x, 21x, 24x, 27x, 31x, 34x, 37x, 41x, 44x, 47x, and 50x.

[0023] A5. The on time SONt of the solar street light is set to one hour before dawn in the morning; the off time SOFFt of the solar street light is set to one hour after sunset in the evening.

[0024] Preferably, the solar street light performance judgment module includes a solar street light performance data receiving unit, a first judgment unit, a second judgment unit, a judgment result integration unit, and a judgment result output unit. Specifically, the solar street light performance data receiving unit is used to receive the first execution rule, the first brightness of the solar street light, and the personnel and vehicle flow data transmitted by the collected solar street light rule setting module; specifically, the first judgment unit compares the collected first execution rule with the actual brightness of the solar street light. When the first brightness Fb set in the first execution rule is <0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to increase the brightness. When the first brightness Fb set in the first execution rule is >0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to reduce the brightness. When 0.15×actual brightness Lab of the solar street light set in the execution rule < first brightness Fb < 0.2×actual brightness Lab of the solar street light, it is judged that the solar street light does not need to adjust the brightness; specifically, the second judgment unit judges whether the first brightness is insufficient based on whether there is personnel and vehicle activities based on the real-time flow data output of personnel and vehicles; specifically, in the judgment result integration unit, if the first judgment unit and the second judgment unit both determine that adjustment is needed, multiple parameters in the first execution rule are adjusted to generate an adjustment signal A; if the first judgment unit or the second judgment unit needs to be adjusted, the parameters that need to be adjusted in the first execution rule are adjusted to generate an adjustment signal B; specifically, the judgment result output unit outputs an adjustment signal to the solar street light intelligent control module when there is a judgment result, and does not output any instructions in other cases.

[0025] Preferably, the solar street light intelligent control module provides a solar street light intelligent control method, comprising the following steps:

[0026] B1. Determine the adjustment signal and convert the adjustment signal of the solar street light performance judgment module into an actual control signal;

[0027] B2. Compare the current light intensity of the solar street lamp based on the first execution rule with the personnel and vehicle flow data collected by the surrounding environment data collection module, adjust the brightness adjustment and switch operation of the solar street lamp and send a specific control signal to the street lamp;

[0028] B3. Based on the control signal, generate a second execution rule, and adjust the solar street lights on the target road section according to the second execution rule;

[0029] B4. After executing the second execution rule, identify the traffic targets on the target road section, confirm the street light brightness, interval time and duration of the second execution rule, and when it is confirmed that the second execution rule is in a normal state, change the execution rule of the solar street light to the second execution rule. When it is confirmed that the second execution rule is in an abnormal state, repeat step B1 to adjust the second execution rule.

[0030] Preferably, the solar street light control quality calculation module includes a street light control data receiving unit, a street light control matching degree calculation unit, an average street light control matching degree calculation unit, a street light control timeliness calculation unit, an average street light control timeliness calculation unit, a solar street light control quality index calculation unit, and a street light control data output unit. The specific processing process of the street light control data is as follows:

[0031] Street light control data receiving unit: receiving the change data recorded by the execution rule change acquisition module;

[0032] Street light control matching degree calculation unit: brightness setting value Fb based on the first execution rule a and the brightness setting value Fb of the second execution rule b Calculate the solar street light brightness adjustment range Bar, the specific calculation formula is: a1 is the quadratic coefficient of the solar street light brightness adjustment range, a2 is the linear coefficient of the solar street light brightness adjustment range, and a3 is the adjustment parameter of the solar street light brightness adjustment range. Calculate the first execution rule solar street light brightness control matching degree Alm a , the specific calculation formula is: Calculate the second execution rule solar street light brightness control matching degree Alm b , the specific calculation formula is:

[0033] Average street light control matching degree calculation unit: calculates the average first execution rule solar street light brightness control matching degree Alm by statistically calculating the first execution rule solar street light brightness control matching degree ai , the specific calculation formula is: The second execution rule solar street light brightness control matching degree is statistically calculated to average the second execution rule solar street light brightness control matching degree Alm bi , the specific calculation formula is: Solar street light brightness control matching degree Alm based on the average first execution rule ai And the average second execution rule solar street light brightness control matching degree Alm bi Calculate the average brightness control matching degree Alm of the solar street light. The specific calculation formula is: Wherein, i represents the index of the brightness of each solar street lamp, b1 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b2 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b1>0, b2>0, b1≠b2;

[0034] Street light control timeliness calculation unit: based on the first execution rule, the opening time SOnt of the solar street light a1 , Solar street light off time SOFFt b1 Calculate the first execution rule street light control timeliness Ata a , the specific calculation formula is: c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0; based on the second execution rule, the opening time SONt of the solar street light a2 , Solar street light off time SONt b2 Calculate the second execution rule street light control timeliness Ata b , the specific calculation formula is: c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0;

[0035] Average street light control timeliness calculation unit: calculates the average first execution rule street light control timeliness statistics Ata ai , the specific calculation formula is: The second execution rule street light control timeliness is calculated by statistically calculating the average second execution rule street light control timeliness Ata bi , the specific calculation formula is: The average first execution rule street light control timeliness Ata ai and average second execution rule street light control timeliness Ata bi Calculate the average street light control timeliness Ata, the specific calculation formula is: Wherein, i represents the index of each solar street lamp, p1 represents the average adjustment parameter of the first execution rule street lamp control timeliness, p2 represents the average adjustment parameter of the second execution rule street lamp control timeliness, P1>0, p2>0;

[0036] Street light control data output unit: sends the calculated solar street light control quality index to the intelligent control report output module.

[0037] Preferably, the solar street light control quality index calculation unit in the solar street light control quality calculation module calculates the solar street light control quality index Lcq based on the solar street light control optimization coefficient Lrof, the solar street light average brightness control matching degree Alm and the solar street light average adjustment timeliness Ata. The specific calculation formula is: α1 and α2 are the empirical exponent and constant coefficient respectively, α1>0, α2>0.

[0038] Technical effects and advantages of the present invention:

[0039] 1. The present invention sets the relevant parameters of solar panels and street lights based on different geographical locations, seasonal changes, sun altitude angles and other factors through the solar street light rule setting module, thereby solving the problem of meeting the energy utilization and lighting needs of solar street lights under different environmental conditions, and alleviating the problem of being unable to ensure continuous and stable lighting under insufficient light conditions such as continuous rainy days;

[0040] 2. The present invention compares the surrounding environment data with the first execution rule through the solar street light performance judgment module, determines whether the solar street light execution rule needs to be adjusted, and sends an adjustment signal, which solves the problem of real-time regulation of the solar street light according to actual conditions, and helps to improve the adaptability of the street light system in different environments;

[0041] 3. The present invention solves the problem of monitoring and analyzing changes in the execution rules of solar street lights by comparing the first execution rule and the second execution rule of the solar street light, recording the changed rules and transmitting them to the solar street light control quality calculation module, which helps to optimize the control strategy of the street light. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a system flow chart of the present invention.

[0043] Figure 2 It is a system step diagram of the present invention.

[0044] Figure 3 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0047] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0048] As attached Figure 1 The solar street light intelligent control system based on the Internet of Things shown includes a system operation database, a system central processing module and a user information terminal, and also includes a solar street light rule setting module, a surrounding environment data acquisition module, a solar street light performance judgment module, a solar street light intelligent control module, an execution rule change acquisition module, a solar street light control quality calculation module, and an intelligent control report output module.

[0049] Specifically, the system operation database includes all data texts of the solar street light intelligent control system, and collects the information text output by each module in real time. The system central processing module is used to control the information text instructions output by each module, and the user information terminal is an information output device for receiving the solar street light intelligent control system.

[0050] The surrounding environment data acquisition module is used to monitor the performance parameters of solar panels and solar street lights in the area where the solar street lights are located in real time through sensors, and send the collected data to the solar street light rule setting module and the lighting demand judgment module.

[0051] Furthermore, the surrounding environment data acquisition module includes a solar panel performance parameter acquisition unit, a solar street light performance parameter acquisition unit, a personnel flow sensing unit in the area where the solar street light is located, a vehicle traffic sensing unit in the area where the solar street light is located, and a surrounding environment data output unit. Specifically, the solar panel performance parameter acquisition unit uses a photosensitive sensor to collect in real time the solar radiation intensity SRi, the solar altitude angle variation law SPa, the sunshine time variation range SDr, the incident angle θ between the solar panel and the sun's rays, the temperature coefficient angle φ of the solar panel, and the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions; specifically, the solar street light performance parameter acquisition unit uses a photosensitive sensor to collect in real time the light brightness data of the area where the solar street light is located; specifically, the personnel flow sensing unit in the area where the solar street light is located obtains the personnel distribution in different areas of the factory through an infrared sensing device; specifically, the vehicle traffic sensing unit in the area where the solar street light is located obtains the vehicle traffic information in the area where the solar street light is located through an infrared sensing device; specifically, the surrounding environment data output unit sends it to the solar street light rule setting module and the lighting demand judgment module.

[0052] The solar street light rule setting module is used to set the first execution rule for solar street lights on different road sections, and at the same time set the first output current and first output voltage of the solar panel, the first angle of the solar panel, the first brightness of the solar street light, and the on and off time of the solar street light, and send the set rules to the solar street light performance judgment module.

[0053] Further, the solar street light rule setting module includes a solar panel performance parameter setting unit, a solar street light performance parameter setting unit, a first execution rule setting unit, and a first execution rule output unit. Specifically, the solar panel performance parameter setting unit sets a first output current of the solar panel, represented by Foc, a first output voltage, represented by Fov, and a first angle of the solar panel, represented by Fa, based on different geographical locations, seasonal changes, and solar altitude angles; specifically, the solar street light performance parameter setting unit sets a first brightness of the solar street light, represented by Fa, based on actual lighting requirements of different road sections and ambient lighting conditions. Fb represents the turn-on time of the solar street light, SONt represents the turn-on time of the solar street light, and SOFFt represents the turn-off time of the solar street light; specifically, the first execution rule setting unit constitutes the first execution rule of the solar street light on different road sections based on the first output current, the first output voltage, and the first angle of the solar panel set by the solar panel performance parameter setting unit and the first brightness of the solar street light, the turn-on time of the solar street light, and the turn-off time of the solar street light set by the solar street light performance parameter setting unit; specifically, the first execution rule output unit sends the set first execution rule to the solar street light performance judgment module.

[0054] Specifically, the solar panel performance parameter setting unit is responsible for setting the performance parameters of the solar panel according to the geographical location, seasonal changes, and solar altitude factors to ensure that the panel can face the sun at the optimal angle to maximize the efficiency of solar energy collection; the solar street light performance parameter setting unit sets the performance parameters of the solar street light based on the actual lighting needs and ambient lighting conditions of different road sections to meet the lighting needs of different road sections in different time periods; the first execution rule setting unit combines the parameters set by the solar panel performance parameter setting unit and the solar street light performance parameter setting unit to form the first execution rule of the solar street light on different road sections to ensure that the street light system can automatically operate according to the preset parameters; the first execution rule output unit sends the set first execution rule to the solar street light performance judgment module to ensure that the street light system can operate efficiently and intelligently.

[0055] It should be noted that a method for setting a first execution rule of a solar street lamp is now provided, comprising the following steps:

[0056] A1. Based on different longitude and latitude regions, a database is established to obtain typical solar radiation intensity SRi and angle variation law SPa;

[0057] A2. Determine the first angle Fa of the solar panel based on the solar altitude angle variation law SPa and the sunshine time variation range SDr in different seasons;

[0058] A3. Based on the real-time monitored solar altitude angle variation law SPa, the incident angle θ between the solar panel and the sun's rays, and the temperature coefficient angle φ of the solar panel, and according to the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions recorded in the database, the first output current Foc of the solar panel is calculated as Foc=Isc×cos(θ); the first output voltage Fov=Voc×cos(φ);

[0059] A4. Based on the actual lighting needs of different road sections, including graded traffic flow and pedestrian density, the first brightness Fb of the solar street lamp is set according to the principle values ​​of 11x, 14x, 17x, 21x, 24x, 27x, 31x, 34x, 37x, 41x, 44x, 47x, and 50x.

[0060] A5. The on time SONt of the solar street light is set to one hour before dawn in the morning; the off time SOFFt of the solar street light is set to one hour after sunset in the evening.

[0061] In this embodiment, in low-latitude areas, the solar altitude angle is relatively high, so the inclination angle of the solar panel is reduced; in rainy areas, the waterproof performance of the panel is improved; in windy and sandy areas, the wear resistance of the panel is improved.

[0062] In this embodiment, in spring and autumn, the tilt angle range of the solar panel is set to (60°, 75°) to balance the solar energy receiving efficiency in different time periods; in summer, due to the high solar altitude angle, the tilt angle of the solar panel is reduced to prevent overheating and improve power generation efficiency, and when the temperature is high in summer, the output voltage is reduced to protect the solar panel and related circuits; in winter, the tilt angle of the solar panel is increased.

[0063] The solar street light performance judgment module is used to compare the data collected by the surrounding environment data collection module with the first execution rule transmitted by the solar street light rule setting module, and judge whether the solar street light execution rule needs to be adjusted. If adjustment is required, an adjustment signal is sent to the solar street light intelligent control module.

[0064] Furthermore, the solar street light performance judgment module includes a solar street light performance data receiving unit, a first judgment unit, a second judgment unit, a judgment result integration unit, and a judgment result output unit. Specifically, the solar street light performance data receiving unit is used to receive the first execution rule, the first brightness of the solar street light, and the personnel and vehicle flow data transmitted by the collected solar street light rule setting module; specifically, the first judgment unit compares the collected first execution rule with the actual brightness of the solar street light. When the first brightness Fb set in the first execution rule is <0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to increase the brightness. When the first brightness Fb set in the first execution rule is >0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to reduce the brightness. When 0.15×actual brightness Lab of the solar street light set in the execution rule < first brightness Fb < 0.2×actual brightness Lab of the solar street light, it is judged that the solar street light does not need to adjust its brightness; specifically, the second judgment unit judges whether the first brightness is insufficient based on whether there is personnel and vehicle activities based on the real-time flow data output of personnel and vehicles; specifically, in the judgment result integration unit, if the first judgment unit and the second judgment unit both determine that adjustment is needed, multiple parameters in the first execution rule are adjusted to generate an adjustment signal A; if the first judgment unit or the second judgment unit needs to be adjusted, the parameters that need to be adjusted in the first execution rule are adjusted to generate an adjustment signal B; specifically, the judgment result output unit outputs an adjustment signal to the solar street light intelligent control module when there is a judgment result, and does not output any instructions in other cases.

[0065] The solar street light performance judgment module receives and integrates data from different sources to evaluate the current status of the street light system in real time and make accurate adjustment decisions accordingly. By comparing the collected first execution rule with the actual required brightness of the solar street light, it can automatically identify whether the street light needs to be brightened or dimmed to ensure that the lighting level always meets the predetermined standards. By outputting whether there are human and vehicle activities based on real-time flow data of people and vehicles, it can prevent energy waste caused by excessive lighting in unmanned or sparsely populated areas.

[0066] The solar street light intelligent control module is used to generate a second execution rule after receiving the adjustment signal, and adjust the solar street lights on the target road section according to the second execution rule.

[0067] It should be noted that a solar street lamp intelligent control method is now provided, comprising the following steps:

[0068] B1. Determine the adjustment signal and convert the adjustment signal of the solar street light performance judgment module into an actual control signal;

[0069] B2. Compare the current light intensity of the solar street lamp based on the first execution rule with the personnel and vehicle flow data collected by the surrounding environment data collection module, adjust the brightness adjustment and switch operation of the solar street lamp and send a specific control signal to the street lamp;

[0070] B3. Based on the control signal, generate a second execution rule, and adjust the solar street lights on the target road section according to the second execution rule;

[0071] B4. After executing the second execution rule, identify the traffic targets on the target road section, confirm the street light brightness, interval time and duration of the second execution rule, and when it is confirmed that the second execution rule is in a normal state, change the execution rule of the solar street light to the second execution rule. When it is confirmed that the second execution rule is in an abnormal state, repeat step B1 to adjust the second execution rule.

[0072] In this embodiment, in the main roads, the brightness of the street lights is set between 30x and 50x according to the actual situation based on the traffic flow and pedestrian density, and the turning on time is set to half an hour after sunset in the evening, and the turning off time is half an hour before dawn in the morning; in the secondary roads, the lighting brightness is relatively low, and the brightness of the street lights is set between 20x and 30x according to the actual situation, and the turning on and off times are one hour later than the main roads; in residential roads, attention is paid to comfort and energy saving, and the brightness of the street lights is set between 10x and 20x according to the actual situation, and the turning on time can be set to the period of frequent residents' activities in the evening according to the residents' activity patterns, and the turning off time is after the residents have rested.

[0073] In this example, on sunny days, full use is made of solar energy to increase the brightness of solar street lights, while adjusting the output power of the panels to meet lighting needs; on cloudy or overcast days, the brightness is reduced to save energy, while the angle and output parameters of the solar panels are adjusted in real time according to the light intensity to ensure stable operation of the system; when there are special activities or needs at night, the lighting brightness can be temporarily increased through remote control to meet special lighting needs.

[0074] The solar street light intelligent control module receives adjustment signals and converts them into actual control signals to ensure that the street lights automatically adjust to the most suitable working state under different conditions; by comparing the current light illumination of the solar street lights based on the first execution rule with the personnel and vehicle flow data collected by the surrounding environment data acquisition module, the brightness adjustment and switch operation of the street lights are intelligently adjusted, and specific control signals are sent to the street lights to realize dynamic lighting management; by executing the second execution rule, the information of the traffic targets on the target section is identified to ensure the stable operation of the system and make timely adjustments under abnormal circumstances.

[0075] The execution rule change acquisition module is used to compare the first execution rule of the solar street light with the second execution rule of the solar street light, record the change rules and transmit them to the solar street light control quality calculation module.

[0076] The execution rule record changes of the execution rule change acquisition module include:

[0077] Obtain detailed data of the first execution rule from the solar street light rule setting module, including the output current and voltage setting values ​​of the solar panel, the angle setting of the solar panel, the brightness setting of the solar street light, and the on and off time of the solar street light; at the same time, obtain the corresponding data of the second execution rule from the solar street light intelligent control module; compare the first execution rule and the second execution rule one by one, for the output parameters of the solar panel, compare the output current and voltage set in the first execution rule with the corresponding values ​​in the second execution rule, and calculate the difference between the two; for the angle of the solar panel, determine whether the angle adjustment has occurred, and record the value of the angle change; in terms of the brightness of the solar street light, compare the brightness setting values ​​in the first execution rule and the second execution rule, determine whether there is a brightness adjustment and the adjustment range; for the on time and off time of the solar street light, accurately compare the time settings in the two execution rules to find out the time change; after the comparative analysis is completed, record all the rules that have changed, and for the changed parameters, record the original value in the first execution rule and the new value in the second execution rule, as well as the direction and range of the change; transmit to the solar street light control quality calculation module in a specific data format.

[0078] The solar street light control quality calculation module calculates the solar street light control quality index based on the solar street light control optimization coefficient, the solar street light average brightness control matching degree and the solar street light average adjustment timeliness.

[0079] Furthermore, the solar street light control quality calculation module includes a street light control data receiving unit, a street light control matching degree calculation unit, an average street light control matching degree calculation unit, a street light control timeliness calculation unit, an average street light control timeliness calculation unit, a solar street light control quality index calculation unit, and a street light control data output unit. The specific processing process of the street light control data is as follows:

[0080] Street light control data receiving unit: receiving the change data recorded by the execution rule change acquisition module;

[0081] Street light control matching degree calculation unit: brightness setting value Fb based on the first execution rule a and the brightness setting value Fb of the second execution rule b Calculate the solar street light brightness adjustment range Bar, the specific calculation formula is: a1 is the quadratic coefficient of the solar street light brightness adjustment range, a2 is the linear coefficient of the solar street light brightness adjustment range, and a3 is the adjustment parameter of the solar street light brightness adjustment range. Calculate the first execution rule solar street light brightness control matching degree Alm a , the specific calculation formula is: Calculate the second execution rule solar street light brightness control matching degree Alm b , the specific calculation formula is:

[0082]

[0083] Average street light control matching degree calculation unit: calculates the average first execution rule solar street light brightness control matching degree Alm by statistically calculating the first execution rule solar street light brightness control matching degree ai , the specific calculation formula is: The second execution rule solar street light brightness control matching degree is statistically calculated to average the second execution rule solar street light brightness control matching degree Alm bi , the specific calculation formula is: Solar street light brightness control matching degree Alm based on the average first execution rule ai And the average second execution rule solar street light brightness control matching degree Alm bi Calculate the average brightness control matching degree Alm of the solar street light. The specific calculation formula is: Wherein, i represents the index of the brightness of each solar street lamp, b1 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b2 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b1>0, b2>0, b1≠b2;

[0084] Street light control timeliness calculation unit: based on the first execution rule, the opening time SOnt of the solar street light a1 , Solar street light off time SOFFt b1 Calculate the first execution rule street light control timeliness Ata a , the specific calculation formula is:

[0085] c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0; based on the second execution rule, the opening time SONt of the solar street light a2 , Solar street light off time SONt b2 Calculate the second execution rule street light control timeliness Ata b , the specific calculation formula is:

[0086] c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0;

[0087] Average street light control timeliness calculation unit: calculates the average first execution rule street light control timeliness statistics Ata ai , the specific calculation formula is: The second execution rule street light control timeliness is calculated by statistically calculating the average second execution rule street light control timeliness Ata bi , the specific calculation formula is: The average first execution rule street light control timeliness Ata ai and average second execution rule street light control timeliness Ata bi Calculate the average street light control timeliness Ata, the specific calculation formula is:

[0088] Wherein, i represents the index of each solar street lamp, p1 represents the average adjustment parameter of the first execution rule street lamp control timeliness, p2 represents the average adjustment parameter of the second execution rule street lamp control timeliness, P1>0, p2>0;

[0089] Solar street light control quality index calculation unit: The specific calculation formula for calculating the solar street light control quality index Lcq based on the solar street light control optimization coefficient Lrof, the solar street light average brightness control matching degree Alm and the average street light control timeliness Ata is:

[0090] α1 and α2 are the constant coefficients of the solar street light control quality index experience index and the solar street light control quality index, respectively, α1>0, α2>0;

[0091] Street light control data output unit: sends the calculated solar street light control quality index to the intelligent control report output module.

[0092] The intelligent control report output module is used to integrate and format the judgment results, control decision results and related data analysis of the solar street light control quality calculation module to generate a solar street light intelligent control report.

[0093] As attached Figure 2 The solar street light intelligent control method based on the Internet of Things shown includes:

[0094] S1. Collect surrounding environment data: Use sensors to monitor the performance parameters of solar panels and solar street lights in the area where the solar street lights are located in real time, and send the collected data to the solar street light rule setting and lighting demand judgment;

[0095] S2. Setting solar street light rules: setting first execution rules for solar street lights on different road sections, and setting the first output current and first output voltage of the solar panel, the first angle of the solar panel, the first brightness of the solar street light, and the on and off time of the solar street light, and sending the set rules to the solar street light performance judgment;

[0096] S3, judging the performance of solar street lights: comparing the data collected by the surrounding environment data collection with the first execution rule transmitted by the solar street light rule setting, judging whether the solar street light execution rule needs to be adjusted, and if adjustment is required, sending an adjustment signal to the solar street light intelligent control;

[0097] S4, control the solar street light intelligence: after receiving the adjustment signal, generate a second execution rule, and adjust the operation mode, energy management strategy, and performance optimization target of the solar street light on the target road section according to the second execution rule;

[0098] S5. Obtain execution rule changes: compare the first execution rule of the solar street light with the second execution rule of the solar street light, record the changed rules and transmit them to the solar street light control quality calculation;

[0099] S6. Calculate the control quality of solar street lights: calculate the control quality index of solar street lights based on the solar street light control optimization coefficient, the average brightness control matching degree of solar street lights, and the average adjustment timeliness of solar street lights;

[0100] S7. Output intelligent control report: Integrate and format the judgment results of solar street light control quality calculation, control decision results and related data analysis to generate a solar street light intelligent control report.

[0101] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0102] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A solar street light intelligent control system based on the Internet of Things, including a system operation database, a system central processing module and a user information terminal, characterized in that: Also includes: The system operation database includes all data texts of the solar street light intelligent control system, and collects the information texts output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is an information output device for receiving the solar street light intelligent control system; Surrounding environment data acquisition module: used to monitor the performance parameters of solar panels and solar street lights in the area where the solar street lights are located in real time through sensors, and send the collected data to the solar street light rule setting module and the solar street light performance judgment module; Solar street light rule setting module: used to set the first execution rule for solar street lights on different road sections, and at the same time set the first output current and the first output voltage of the solar panel, the first angle of the solar panel, the first brightness of the solar street light, and the on and off time of the solar street light, and send the set rules to the solar street light performance judgment module; Solar street light performance judgment module: used to compare the data collected by the surrounding environment data collection module with the first execution rule transmitted by the solar street light rule setting module, and judge whether the solar street light execution rule needs to be adjusted. If adjustment is required, an adjustment signal is sent to the solar street light intelligent control module; Solar street light intelligent control module: used to generate a second execution rule after receiving the adjustment signal, and adjust the operation mode, energy management strategy, and performance optimization target of the solar street light on the target road section according to the second execution rule; Execution rule change acquisition module: used to compare the first execution rule of the solar street lamp with the second execution rule of the solar street lamp, record the change rule and transmit it to the solar street lamp control quality calculation module; Solar street light control quality calculation module: calculates the solar street light control quality index based on the solar street light control optimization coefficient, the solar street light average brightness control matching degree and the solar street light average adjustment timeliness; Intelligent control report output module: used to integrate and format the judgment conclusions, control decision results and related data analysis of the solar street light control quality calculation module to generate a solar street light intelligent control report.

2. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The surrounding environment data acquisition module includes a solar panel performance parameter acquisition unit, a solar street light performance parameter acquisition unit, a personnel flow sensing unit in the area where the solar street light is located, a vehicle traffic sensing unit in the area where the solar street light is located, and a surrounding environment data output unit. Specifically, the solar panel performance parameter acquisition unit uses a photosensitive sensor to collect in real time the solar radiation intensity SRi, the solar altitude angle variation law SPa, the sunshine time variation range SDr, the incident angle θ between the solar panel and the sun's rays, the temperature coefficient angle φ of the solar panel, and the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions; specifically, the solar street light performance parameter acquisition unit uses a photosensitive sensor to collect in real time the light brightness data of the area where the solar street light is located; specifically, the personnel flow sensing unit in the area where the solar street light is located obtains the personnel distribution in different areas of the factory through an infrared sensing device; specifically, the vehicle traffic sensing unit in the area where the solar street light is located obtains the vehicle traffic information in the area where the solar street light is located through an infrared sensing device; specifically, the surrounding environment data output unit sends it to the solar street light rule setting module and the lighting demand judgment module.

3. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The solar street light rule setting module includes a solar panel performance parameter setting unit, a solar street light performance parameter setting unit, a first execution rule setting unit, and a first execution rule output unit. Specifically, the solar panel performance parameter setting unit sets a first output current of the solar panel, represented by Foc, a first output voltage, represented by Fov, and a first angle of the solar panel, represented by Fa, based on different geographical locations, seasonal changes, and solar altitude angles; specifically, the solar street light performance parameter setting unit sets a first brightness of the solar street light, represented by Fa, based on actual lighting requirements of different road sections and ambient lighting conditions. Fb represents the turn-on time of the solar street light, SONt represents the turn-on time of the solar street light, and SOFFt represents the turn-off time of the solar street light; specifically, the first execution rule setting unit constitutes the first execution rule of the solar street light on different road sections based on the first output current, the first output voltage, and the first angle of the solar panel set by the solar panel performance parameter setting unit and the first brightness of the solar street light, the turn-on time of the solar street light, and the turn-off time of the solar street light set by the solar street light performance parameter setting unit; specifically, the first execution rule output unit sends the set first execution rule to the solar street light performance judgment module.

4. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The first execution rule setting unit in the solar street light rule setting module provides a method for setting a first execution rule of a solar street light, comprising the following steps: A1. Based on different longitude and latitude regions, a database is established to obtain typical solar radiation intensity SRi and angle variation law SPa; A2. Determine the first angle Fa of the solar panel based on the solar altitude angle variation law SPa and the sunshine time variation range SDr in different seasons; A3. Based on the real-time monitored solar altitude angle variation law SPa, the incident angle θ between the solar panel and the sun's rays, and the temperature coefficient angle φ of the solar panel, and according to the short-circuit current Isc and open-circuit voltage Voc of the solar panel under standard test conditions recorded in the database, the first output current Foc of the solar panel is calculated as Foc=Isc×cos(θ); the first output voltage Fov=Voc×cos(φ); A4. Based on the actual lighting needs of different road sections, including graded traffic flow and pedestrian density, the first brightness Fb of the solar street lamp is set according to the principle values ​​of 11x, 14x, 17x, 21x, 24x, 27x, 31x, 34x, 37x, 41x, 44x, 47x, and 50x. A5. The on time SONt of the solar street light is set to one hour before dawn in the morning; the off time SOFFt of the solar street light is set to one hour after sunset in the evening.

5. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The solar street light performance judgment module includes a solar street light performance data receiving unit, a first judgment unit, a second judgment unit, a judgment result integration unit, and a judgment result output unit. Specifically, the solar street light performance data receiving unit is used to receive the first execution rule, the first brightness of the solar street light, and the personnel and vehicle flow data transmitted by the collected solar street light rule setting module; specifically, the first judgment unit compares the collected first execution rule with the actual brightness of the solar street light. When the first brightness Fb set in the first execution rule is less than 0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to increase the brightness. When the first brightness Fb set in the first execution rule is greater than 0.6×the actual brightness Lab of the solar street light, it is judged that the solar street light needs to reduce the brightness. When 0.15×actual brightness Lab of the solar street light set in the rule < first brightness Fb < 0.2×actual brightness Lab of the solar street light, it is judged that the solar street light does not need to adjust its brightness; specifically, the second judgment unit judges whether the first brightness is insufficient based on whether there is personnel and vehicle activities based on the real-time flow data output of personnel and vehicles; specifically, in the judgment result integration unit, if the first judgment unit and the second judgment unit both determine that adjustment is needed, multiple parameters in the first execution rule are adjusted to generate an adjustment signal A; if the first judgment unit or the second judgment unit needs to be adjusted, the parameters that need to be adjusted in the first execution rule are adjusted to generate an adjustment signal B; specifically, the judgment result output unit outputs an adjustment signal to the solar street light intelligent control module when there is a judgment result, and does not output any instructions in other cases.

6. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The solar street light intelligent control module provides a solar street light intelligent control method, comprising the following steps: B1. Determine the adjustment signal and convert the adjustment signal of the solar street light performance judgment module into an actual control signal; B2. Compare the current light intensity of the solar street lamp based on the first execution rule with the personnel and vehicle flow data collected by the surrounding environment data collection module, adjust the brightness adjustment and switch operation of the solar street lamp and send a specific control signal to the street lamp; B3. Based on the control signal, generate a second execution rule, and adjust the solar street lights on the target road section according to the second execution rule; B4. After executing the second execution rule, identify the traffic targets on the target road section, confirm the street light brightness, interval time and duration of the second execution rule, and when it is confirmed that the second execution rule is in a normal state, change the execution rule of the solar street light to the second execution rule. When it is confirmed that the second execution rule is in an abnormal state, repeat step B1 to adjust the second execution rule.

7. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The solar street light control quality calculation module includes a street light control data receiving unit, a street light control matching degree calculation unit, an average street light control matching degree calculation unit, a street light control timeliness calculation unit, an average street light control timeliness calculation unit, a solar street light control quality index calculation unit, and a street light control data output unit. The specific processing process of the street light control data is as follows: Street light control data receiving unit: receiving the change data recorded by the execution rule change acquisition module; Street light control matching degree calculation unit: brightness setting value Fb based on the first execution rule a and the brightness setting value Fb of the second execution rule b Calculate the solar street light brightness adjustment range Bar, the specific calculation formula is: a1 is the quadratic coefficient of the solar street light brightness adjustment range, a2 is the linear coefficient of the solar street light brightness adjustment range, and a3 is the adjustment parameter of the solar street light brightness adjustment range. Calculate the first execution rule solar street light brightness control matching degree Alm a , the specific calculation formula is: Calculate the second execution rule solar street light brightness control matching degree Alm b , the specific calculation formula is: Average street light control matching degree calculation unit: calculates the average first execution rule solar street light brightness control matching degree Alm by statistically calculating the first execution rule solar street light brightness control matching degree ai , the specific calculation formula is: The second execution rule solar street light brightness control matching degree is statistically calculated to average the second execution rule solar street light brightness control matching degree A1m bi , the specific calculation formula is: Solar street light brightness control matching degree Alm based on the average first execution rule ai And the average second execution rule solar street light brightness control matching degree A1m bi Calculate the average brightness control matching degree Alm of the solar street light. The specific calculation formula is: Wherein, i represents the index of the brightness of each solar street lamp, b1 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b2 represents the adjustment parameter of the average second execution rule solar street lamp brightness control matching degree, b1>0, b2>0, b1≠b2; Street light control timeliness calculation unit: based on the first execution rule, the opening time SOnt of the solar street light a1 , Solar street light off time SOFFt b1 Calculate the first execution rule street light control timeliness Ataa, the specific calculation formula is: c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0; based on the second execution rule, the opening time SONt of the solar street light a2 , Solar street light off time SONt b2 Calculate the second execution rule street light control timeliness Ata b , the specific calculation formula is: c1 is the quadratic coefficient of the street light control timeliness, c2 is the linear coefficient of the street light control timeliness, c3 is the adjustment parameter of the street light control timeliness, c1>0, c2>0, c3>0; Average street light control timeliness calculation unit: calculates the average first execution rule street light control timeliness statistics Ata ai , the specific calculation formula is: The second execution rule street light control timeliness is calculated by statistically calculating the average second execution rule street light control timeliness Ata bi , the specific calculation formula is: The average first execution rule street light control timeliness Ata ai and average second execution rule street light control timeliness Ata bi Calculate the average street light control timeliness Ata, the specific calculation formula is: Wherein, i represents the index of each solar street lamp, p1 represents the average adjustment parameter of the first execution rule street lamp control timeliness, p2 represents the average adjustment parameter of the second execution rule street lamp control timeliness, p1>0, p2>0; Street light control data output unit: sends the calculated solar street light control quality index to the intelligent control report output module.

8. According to the Internet of Things-based solar street light intelligent control system of claim 1, it is characterized by: The solar street light control quality index calculation unit in the solar street light control quality calculation module calculates the solar street light control quality index Lcq based on the solar street light control optimization coefficient Lrof, the solar street light average brightness control matching degree Alm and the solar street light average adjustment timeliness Ata. The specific calculation formula is: α1 and α2 are the empirical exponent and constant coefficient respectively, α1>0, α2>0.

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