Intelligent street lamp lighting system, intelligent street lamp lighting control device and control method thereof

Abstract

The invention provides an intelligent street lamp lighting system, an intelligent street lamp lighting control device and a control method thereof, and the intelligent street lamp lighting control system comprises the intelligent street lamp lighting control device, the Internet of Things and a plurality of street lamps. The street lamp illumination intelligent control device controls and obtains the states of a plurality of street lamps and the surrounding environment illumination information of the corresponding street lamps through an Internet of Things platform. The intelligent control device for street lamp illumination calculates the fitness of each control scheme according to street lamp state information and environment illumination information in combination with street lamp geographic position information and road section importance information, and finally selects a lamp on-off control scheme with the maximum fitness to control on-off of each street lamp according to the size of the fitness. Through the set fitness function, the optimal on-off lamp control scheme can be generated in a self-adaptive manner, so that orderliness and reasonability of street lamp control are ensured, the energy consumption of the street lamp is reduced, and the service life of the street lamp is prolonged.

Description

Technical Field

[0001] The present invention relates to the field of smart lighting, and in particular to a smart street lighting system, a street lighting intelligent control device and a control method thereof. Background Art

[0002] With the improvement of people's living standards and the rapid development of cities, the requirements for road lighting are getting higher and higher. At present, road lighting must not only meet functional lighting and ensure road safety, but also achieve scientific energy saving.

[0003] Traditional street light control uses a timed control method, that is, it is usually turned on at a fixed time in the evening and turned off at a fixed time in the morning. Affected by the season and weather, this fixed time control method cannot perceive the changes in natural light intensity, which will result in street lights being turned off when natural light is weak and unable to provide lighting for people, and street lights being turned on when natural light is strong, resulting in energy waste.

[0004] With the development of intelligent sensing technology, street lamps can detect the light intensity of the surrounding environment, thus having energy-saving functions. Street lamps can automatically adjust the switch of street lamps by sensing the ambient light intensity. For street lamps with dimming function, street lamps can also reduce the brightness or reduce the lighting time to reduce energy consumption.

[0005] In order to further save energy, intelligent lighting also adopts the method of midnight lights, that is, in the second half of the night when there are fewer people and vehicles and the brightness does not need to be too high, the street lights are lit one by one and two rows of street lights are lit crosswise to save energy. This method is efficient and intelligent, and has certain advancedness, but the existing intelligent lighting control system also has the following problems:

[0006] 1. The alternate light-up method is relatively fixed and requires manual setting of rules, which has poor flexibility.

[0007] 2. Poor adaptability, unable to adjust lighting strategy according to street lamp status. For example, some street lamps are damaged and cannot be lit. During the period without timely repair, the alternate lighting strategy is not adjusted in time, so the street lamps that should be lit cannot be lit, which eventually causes insufficient regional lighting brightness and affects driving and pedestrian safety.

[0008] 3. The particularity of intersections and road sections is not taken into account, but the importance of all street lights is assumed to be the same. However, in fact, at some key intersections or key terrains, such as accident-prone areas, more brightness should be required to ensure road safety, but the method of lighting one every other street light ignores this particularity.

[0009] 4. The usage of street lamps is not taken into account. The life of street lamps is closely related to their usage. Although the initial usage time of street lamps is the same at the beginning of deployment, as time goes by, some lamps are used longer and some are used shorter. In particular, when some street lamps are updated or reinstalled for maintenance, the usage time starts again. The alternate lighting method ignores the changes in the properties of the street lamps themselves.

[0010] In summary, the existing intelligent lighting control systems are not flexible and adaptable at the same time, and are unable to ensure both lighting brightness and pedestrian and vehicle safety while saving energy as much as possible. Summary of the invention

[0011] The present invention provides a smart street lamp lighting system, a street lamp lighting intelligent control device and a control method thereof. The smart street lamp lighting control system of the present invention comprises: a street lamp lighting intelligent control device, an Internet of Things and multiple street lamps. The street lamp lighting intelligent control device controls and obtains the status of multiple street lamps and the illumination information of the corresponding surrounding environment of the street lamps through an Internet of Things platform. The street lamp lighting intelligent control device controls the switch status of each street lamp according to the street lamp status information and the environmental illumination information in combination with the street lamp geographical location information and the road section importance information, outputs the street lamp control result, and the street lamp is lit or extinguished according to the street lamp control result.

[0012] The present invention is implemented through the following technical solutions, firstly providing a street lamp lighting intelligent control method, which includes:

[0013] S10: Generate K initialization schemes as K individuals of the population in binary coding according to the number of street lamps N combined with the online status information set and the fault status information set to complete the initialization of the street lamp population. Any individual in the population can be expressed as

[0014] S20.A: Calculate the fitness of the number of lights for each population according to the number of street lights, the minimum number of lights on, and the fitness function of the number of lights on;

[0015] S20.B: Calculate the lighting uniformity fitness of each population individual according to the geographical location information set of a road lamp, the lighting uniformity fitness function and the lighting control scheme represented by each population individual;

[0016] S20.C: Calculate the usage time fitness of each population individual according to the lighting control scheme represented by each population individual, the usage time information of the corresponding street lamp and the time fitness function;

[0017] S20.D: Calculate the importance fitness of each population individual according to the importance set of street lamp positions, the importance fitness function and the lighting control scheme represented by each population individual;

[0018] S30: normalizing each fitness function according to the fitness of the number of lights on, the fitness of the uniformity of lights on, the fitness of the duration of use, and the fitness of importance of each population individual, and summing the normalized fitness functions to obtain a comprehensive fitness function;

[0019] S40: Calculating the comprehensive fitness of each population individual according to the comprehensive fitness function;

[0020] S50: If there is a population individual whose comprehensive fitness is greater than the fitness of a preset individual, a light switch control scheme is generated based on the representation of the population individual with the largest fitness.

[0021] Furthermore, the fitness function of the number of lights on is:

[0022] f1=-x 2 +Nx+c

[0023]

[0024] c=M 2 -NM

[0025] Among them, N is the total number of street lights, M is the minimum number of lights on, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0026] Furthermore, the construction process of the lighting uniformity fitness function is as follows:

[0027] When all street lights are on the same road, N street lights can be divided into N / 2 grids, and data is constructed based on these N / 2 grids:

[0028]

[0029] Where L j is the number of lights on in the first j grids. At this time, the fitness function of the lighting uniformity is:

[0030]

[0031] Among them, Var(L) is the variance of the grid data L;

[0032] When street lamps are located on different roads, the position of each street lamp is taken as a coordinate point, all coordinate points are obtained, and a polygon is formed;

[0033] Select the coordinate points of the bright spot lamp, and the polygon forms a scatter diagram of the points of the enclosed space;

[0034] According to the scatter diagram, a Voronoi diagram is calculated to obtain an area set A of Voronoi polygons;

[0035] Solve the variance Var(A) and mean E(A) of the area set A. At this time, the lighting uniformity fitness function is:

[0036]

[0037] Where E(A) is the mean of the area set A of the Voronoi polygons, and Var(A) is the variance of the area set A of the Voronoi polygons.

[0038] Furthermore, the duration fitness function is:

[0039]

[0040] Among them, T i is the usage time of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0041] Furthermore, the importance fitness function is:

[0042]

[0043] Among them, G i is the importance of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0044] Furthermore, the normalized formula of each fitness function is as follows:

[0045]

[0046] in, are the maximum and minimum values ​​of the i-th fitness function respectively.

[0047] Furthermore, after step S40, the method further includes:

[0048] S51: If the fitness of the population individuals is less than the fitness of a preset individual, the population individuals are updated according to the genetic algorithm to obtain a new generation of population individuals, and steps S20.A, S20.B, S20.C, and S20.D are re-executed.

[0049] Furthermore, before step S51, the method further includes:

[0050] S51.a: Is the number of iterations greater than a preset threshold? If not, execute step S51; if so, generate a light switch control solution using a preset individual representation.

[0051] On the other hand, the present invention also provides a street lighting intelligent control device, which includes:

[0052] Population initialization module: It is used to generate K initialization schemes as K individuals of the population according to the number of street lamps N in binary coding and combined with the online status information set and the fault status information set to complete the initialization of the street lamp population. Any individual in the population can be expressed as

[0053] Light quantity fitness calculation module: used to calculate the light quantity fitness of each population individual according to the number of street lights, the minimum number of lights on and the light quantity fitness function;

[0054] Lighting uniformity fitness calculation module: used to calculate the lighting uniformity fitness of each population individual according to the geographical location information set of a road lamp, the lighting uniformity fitness function and the lighting control scheme represented by each population individual;

[0055] Use time fitness calculation module: used to calculate the use time fitness of each population individual according to the lighting control scheme represented by each population individual, the use time information of the corresponding street lamp and the time fitness function;

[0056] Importance fitness calculation module: used to calculate the importance fitness of each population individual according to the importance set of street lamp positions, the importance fitness function and the lighting control scheme represented by each population individual;

[0057] Comprehensive fitness function construction module: used to normalize each fitness function according to the fitness of the number of lights on, the fitness of the uniformity of lights on, the fitness of the duration of use, and the fitness of importance of each population individual, and sum the normalized fitness functions to obtain the comprehensive fitness function;

[0058] Comprehensive fitness calculation module: used to calculate the comprehensive fitness of each population individual according to the comprehensive fitness function;

[0059] Light switch control scheme generation module: used to generate a light switch control scheme based on the representation of the population individual with the largest fitness if the comprehensive fitness of the population individual is greater than the fitness of a preset individual.

[0060] On the other hand, the present invention further provides a smart street lamp lighting control system, comprising any of the above-mentioned street lamp lighting intelligent control devices, an Internet of Things platform, and a plurality of street lamps;

[0061] The IoT platform controls and obtains the status of multiple street lamps and the illumination information of the surrounding environment of the corresponding street lamps, and exchanges data with the street lamp lighting intelligent control device, which is used to generate a street lamp switch control plan;

[0062] In summary, the advantages of the present invention over the prior art are as follows:

[0063] 1. The present invention comprehensively considers various factors such as the usage of street lamps, the status of street lamps, information about the road section where the street lamps are located, etc., to achieve a comprehensive design of street lamp lighting and achieve higher energy saving.

[0064] 2. The present invention distinguishes the importance of road sections, so that the street lights on important sections can better ensure the lighting brightness for pedestrians and vehicles, thereby improving safety.

[0065] 3. The present invention takes the properties of the street lamp itself into consideration and increases the service life of the entire street lamp system.

[0066] 4. Compared with the traditional fixed mode, this solution is more intelligent and more adaptable.

[0067] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 is a schematic diagram of an exemplary smart street lamp lighting control system provided by the present invention;

[0069] Figure 2 This is a structural block diagram of the intelligent control device for street lighting provided by the present invention;

[0070] Figure 3 for Figure 2 The flowchart of the control method of the street lighting intelligent control device shown;

[0071] Figure 4 A schematic diagram of the division of street lamp areas by the lighting uniformity fitness calculation module when the street lamp lighting intelligent control device of the present invention controls street lamps on a road;

[0072] Figure 5 A schematic diagram of the division of street lamp areas by the lighting uniformity fitness calculation module when the street lamp lighting intelligent control device of the present invention controls street lamps on multiple roads;

[0073] Figure 6 A flow chart of a control method of a street lighting intelligent control device according to another embodiment of the present invention;

[0074] Figure 7 A schematic diagram of an exemplary mutation process of the present invention. DETAILED DESCRIPTION

[0075] The smart street lamp lighting control system of the present invention comprises: a street lamp lighting intelligent control device, an Internet of Things and multiple street lamps. The street lamp lighting intelligent control device controls and obtains the status of multiple street lamps and the illumination information of the corresponding surrounding environment of the street lamps through an Internet of Things platform. The street lamp lighting intelligent control device controls the switch status of each street lamp according to the street lamp status information and the environmental illumination information and combines the street lamp geographical location information and the road section importance information, and outputs the street lamp control result.

[0076] See also Figure 1 In the present invention, the Internet of Things platform is connected to N street lamps, where the online status information set of the street lamps is denoted as S, where S = {S1, S2, ..., S i , …, S N}, the online state is divided into online and offline, represented by 1 and 0 respectively; the fault state information set of the street lamp is recorded as W, W = {W1, W2, ..., W i , …, W N}, the status is divided into normal and fault, represented by 1 and 0 respectively; the working time of the street light is recorded as T, in hours. The working time information set of all street lights is recorded as T = {T1, T2, ..., T i , …, T N}, the location importance set of street lights is denoted as G, which can be provided by the street light management department and the traffic management department. G = {G1, G2, ..., G i , …, G N When the street lamp senses the ambient light intensity, if the illumination is less than a certain value, the conditions for turning on the light at night are met.

[0077] See also Figure 2 In the smart street lighting system of the present invention, the street lighting intelligent control device completes the generation of control results based on the above multiple parameter sets, and ultimately controls which street lights are turned on and which are not. Specifically, the street lighting intelligent control device includes a population initialization module 10, a light quantity fitness calculation module 20.A, a light uniformity fitness calculation module 20.B, a usage time fitness calculation module 20.C, an importance fitness calculation module 20.D, a comprehensive fitness function construction module 30, a comprehensive fitness calculation module 40, and a switch light control scheme generation module 50, please refer to Figure 3 , the execution steps of each module of the street lighting intelligent control device are as follows:

[0078] The population initialization module 10 is used to execute step S10: generate K initialization schemes as K individuals of the population in a binary coding manner according to the number of street lamps N combined with the online state information set and the fault state information set to complete the initialization of the street lamp population. Any individual in the population can be represented as

[0079] Each individual in the population represents a lighting control scheme. Since the lighting state of each street lamp is on or off, it is associated with binary through coding, with 0 representing off and 1 representing on; then a lighting control scheme is in is the lighting status of the i-th street lamp of the K-th individual; however, not all street lamps are in use or in good condition. In order to eliminate the influence of offline and faulty street lamps on the lighting control scheme, the lighting control needs to exclude offline street lamps and faulty street lamps. Therefore, the lighting control scheme is combined with the online status information set and the fault status information set. That is, for any street lamp, whether it is turned on or off depends not only on the lighting control scheme but also on its own online state and fault state. At this time, the population individual OF k This is the actual initialization scheme that indicates whether the street light is on or not.

[0080] The light quantity fitness calculation module 20.A is used to execute step S20.A: according to the number of street lights, the minimum number of lights on and the light quantity fitness function, respectively calculate the light quantity fitness of each population individual;

[0081] The fitness function is the main indicator to measure the quality of individuals. According to the size of the fitness function, individuals are selected and eliminated. The number of lights on the street light system, the uniformity of the lights, the use time of the lamps, and the importance of the location are studied to provide a corresponding fitness function.

[0082] Specifically, the fitness function of the number of lights on is as follows:

[0083] f1=-x 2 +Nx+c

[0084]

[0085] c=M 2 -NM

[0086] Among them, N is the total number of street lights, M is the minimum number of lights on, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0087] The lighting uniformity fitness calculation module 20.B is used to execute step S20.B: calculate the lighting uniformity fitness of each population individual according to the geographical location information set of a road lamp, the lighting uniformity fitness function and the lighting control scheme represented by each population individual;

[0088] The street lamp deployment methods are different in different road sections. For different street lamp deployment methods, the present invention adopts different methods to calculate the lighting uniformity fitness function. Specifically, if the system controls the street lamps of a road, such as Figure 4 As shown, we arbitrarily set the beginning and end of a road, and divide the grids along the road direction into two groups of two street lamps on both sides of the road. If the street lamps are arranged symmetrically, then N street lamps can be divided into N / 2 grids. Data is constructed based on these N / 2 grids. Where L j is the number of lights on in the first j grids. The variance of L is obtained as Var(L). The smaller the variance, the more uniform the distribution. At this time, the fitness function of the uniformity of lights is:

[0089]

[0090] Among them, Var(L) is the variance of the grid data.

[0091] If the system controls street lights on multiple roads, the Voronoi diagram method will be used to measure uniformity. Figure 5 First, take the position of each street lamp as a coordinate point, obtain all coordinate points, and form a polygon. The edge of the polygon is at a certain distance from the coordinate point. The distance is set to half the distance between the two lamps. At this time, for an individual K in the population, when the lighting control scheme represented by the individual is used to light up, not all lamps will light up. Select the coordinate points of the bright lamps and form a scatter diagram of the points in the enclosed space with the above polygon. For this scatter diagram, calculate the Voronoi diagram to obtain the area set A of the Voronoi polygon, calculate the variance of A to obtain Var(A) and the mean E(A), and then calculate the coefficient of variation. The smaller the coefficient of variation, the more uniform the size and shape of the Voronoi polygons are, which in turn means that the point distribution is more uniform. At this time, the fitness function for lighting uniformity is:

[0092]

[0093] Where E(A) is the mean of the area set A of the Voronoi polygons, and Var(A) is the variance of the area set A of the Voronoi polygons.

[0094] The usage time fitness calculation module 20.C is used to execute step S20.C: according to the lighting control scheme represented by each population individual, the usage time information of the corresponding street lamp and the time fitness function, calculate the usage time fitness of each population individual;

[0095] In order to ensure the service life of the entire street lamp system, it is generally necessary to light up the street lamps more evenly, especially some newly replaced street lamps need to be used as much as possible, so the fitness function of the usage time is constructed as follows:

[0096]

[0097] Among them, T i is the usage time of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0098] At this time, if the i-th street lamp is used for a longer time, its fitness will be lower, so compared with other street lamps, the feasibility of it being selected to turn on is smaller.

[0099] The importance fitness calculation module 20.D is used to execute step S20.D: calculate the importance fitness of each population individual according to the street lamp position importance set, the importance fitness function and the lighting control scheme represented by each population individual;

[0100] In some key locations, street lamps should be selected and turned on with a higher probability, such as corners and intersections. The probability of turning on lights is high in such places. Therefore, it is necessary to assign corresponding importance to street lamps based on their locations. The present invention uses the location importance set G of street lamps to refer to the importance of each street lamp, and constructs the importance fitness function based on the location importance set:

[0101]

[0102] Among them, G i is the importance of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

[0103] The comprehensive fitness function construction module 30 is used to execute step S30: normalize each fitness function according to the fitness of the number of lights on, the fitness of the uniformity of lights on, the fitness of the use time, and the fitness of importance of each population individual, and sum the normalized fitness functions to obtain a comprehensive fitness function;

[0104] For the above four fitness functions, there are different dimensional problems due to different measurement standards. In order to unify the measurement, we must first deal with the dimensional problem. For a population of K, that is, K individuals. First, normalization is performed, using minimum-maximum normalization. For any fitness function, the normalization process is as follows:

[0105]

[0106] in, are the maximum and minimum values ​​of the i-th fitness function respectively.

[0107] Therefore, the final comprehensive fitness function is:

[0108] in, is the normalized fitness of any fitness function.

[0109] The comprehensive fitness calculation module 40 is used to execute step S40: calculating the comprehensive fitness of each population individual according to the comprehensive fitness function.

[0110] The normalized comprehensive fitness function is only related to It is related to each switch state of each individual. Substituting each value in the individual into the comprehensive fitness function and summing them up, we can get the fitness of each individual K, that is, the fitness set.

[0111] The light switch control scheme generating module 50 is used to execute step S50: if there is a population individual whose comprehensive fitness is greater than the fitness of a preset individual, then a light switch control scheme is generated with the representation of the population individual with the largest fitness.

[0112] As a universal street light control scheme, the alternate lighting scheme itself has certain feasibility. Substitute the lighting control scheme into the comprehensive fitness function to calculate its fitness, which is used as a threshold fitness. When the fitness of an individual in the population is greater than this fitness, it means that there is a street light control scheme that is better than the alternate lighting scheme in the generated population. At this time, the OF of the individual with the largest fitness is used. k , as the final street light control solution and issue switch instructions to complete the street light switch control.

[0113] The present invention comprehensively considers various factors such as the usage of street lamps, the status of street lamps, information about the road sections where the street lamps are located, etc., to achieve a comprehensive design of street lamp lighting, achieve higher energy saving and distinguish the importance of road sections, so that street lamps on important road sections can better guarantee the lighting brightness for pedestrians and vehicles and improve safety.

[0114] However, the above scheme still has some shortcomings. First, if this system controls N street lamps, there will be 2N power schemes for turning on and off the street lamps. If the fitness of each scheme is calculated for this exponential growth control scheme, then when N exceeds a certain value, the amount of calculation is very large, and the efficiency of generating the light-on scheme is low; but if only K population individuals are randomly generated for evaluation, it is very likely that none of the K individuals will be as good as the method of turning on one at a time, which will make the control scheme invalid. Based on the above problems, please refer to Figure 6 In another embodiment, the present invention further comprises after step S40:

[0115] S51: If the fitness of the population individuals is less than the fitness of a preset individual, the population individuals are updated according to the genetic algorithm to obtain a new generation of population individuals, and steps S20.A, S20.B, S20.C, and S20.D are re-executed.

[0116] Genetic algorithms complete the update of offspring through selection, crossover, and mutation. The selection steps are as follows:

[0117] 1) Obtain the comprehensive fitness of each individual in the population. The higher the comprehensive fitness value, the greater the individual advantage.

[0118] 2) Calculate the total comprehensive fitness and add up the comprehensive fitness of all individuals to get the total.

[0119] 3) Calculate the selection probability of each individual, which is equal to the individual fitness value divided by the total fitness.

[0120] 4) Construct a cumulative probability distribution and add up the selection probability of each individual to get an interval.

[0121] 5) Generate a random number between 0 and 1, and select the corresponding individual as the parent based on the interval in which the random number falls.

[0122] After the individual selection is completed, crossover is required. The present invention adopts the simplest single-point crossover, and can also support other crossover operators. In single-point crossover, a crossover point is randomly set in the individual to divide the individual gene into two parts. The offspring is generated by two parents. After the crossover, the individuals need to be bitwise ANDed with the online state and the fault state, that is,

[0123] Similarly, the present invention adopts the simplest basic bit mutation, and can also support other mutation operators. In the basic bit mutation of the present invention, the mutation probability is related to the characteristics of the basic bit. For the i-th gene of an individual, the first M bits and the last M bits of the position are counted. If there are many positions with the same code as the i-th gene, the mutation probability is increased. Figure 7 , assuming M = 1, if there are more identical codes on both sides of the mutation bit, the mutation probability will be increased, while if there are no identical codes on both sides of the mutation bit in the figure below, the mutation probability will be reduced. This ensures the uniformity of individual codes. After mutation, all individuals need to be bitwise ANDed with the online state and fault state, that is,

[0124] Through the above steps, K new offspring population individuals, i.e., new lighting control schemes, are generated. The fitness of the K lighting control schemes is then repeatedly calculated. When the stopping criterion is met, i.e., the number of iterations exceeds a preset threshold, or the comprehensive fitness of a lighting control scheme is higher than that of the alternate lighting control scheme, the genetic update can be stopped and the final control result can be output.

[0125] The present invention can adaptively generate an optimal switch light control scheme through a genetic algorithm and a set fitness function to ensure orderly and reasonable street light control. Compared with the prior art, the present invention has the following advantages:

[0126] 1. The present invention comprehensively considers various factors such as the usage of street lamps, the status of street lamps, information about the road section where the street lamps are located, etc., to achieve a comprehensive design of street lamp lighting and achieve higher energy saving.

[0127] 2. The present invention distinguishes the importance of road sections, so that the street lights on important sections can better ensure the lighting brightness for pedestrians and vehicles, thereby improving safety.

[0128] 3. The present invention takes the properties of the street lamp itself into consideration and increases the service life of the entire street lamp system.

[0129] 4. Compared with the traditional fixed mode, this solution is more intelligent and more adaptable.

[0130] Finally, it should be noted that the smart street lamp lighting system, street lamp lighting intelligent control device and control method thereof disclosed in the embodiments of the present invention only disclose preferred embodiments of the present invention and are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A street lighting intelligent control method, characterized in that: S10: Generate K initialization schemes as K individuals of the population in binary coding according to the number of street lamps N combined with the online status information set and the fault status information set to complete the initialization of the street lamp population. Any individual in the population can be expressed as S20.A: Calculate the fitness of the number of lights for each population according to the number of street lights, the minimum number of lights on, and the fitness function of the number of lights on; S20.B: Calculate the lighting uniformity fitness of each population individual according to the geographical location information set of a road lamp, the lighting uniformity fitness function and the lighting control scheme represented by each population individual; S20.C: Calculate the usage time fitness of each population individual according to the lighting control scheme represented by each population individual, the usage time information of the corresponding street lamp and the time fitness function; S20.D: Calculate the importance fitness of each population individual according to the importance set of street lamp positions, the importance fitness function and the lighting control scheme represented by each population individual; S30: normalizing each fitness function according to the fitness of the number of lights on, the fitness of the uniformity of lights on, the fitness of the duration of use, and the fitness of importance of each population individual, and summing the normalized fitness functions to obtain a comprehensive fitness function; S40: Calculating the comprehensive fitness of each population individual according to the comprehensive fitness function; S50: If there is a population individual whose comprehensive fitness is greater than the fitness of a preset individual, a light switch control scheme is generated based on the representation of the population individual with the largest fitness.

2. The intelligent control method for street lighting according to claim 1, characterized in that: The fitness function of the number of lights on is: f1=-x 2 +Nx+c c=M 2 -NM Among them, N is the total number of street lights, M is the minimum number of lights on, is the lighting status of the i-th street lamp of the K-th individual in the population.

3. The intelligent control method for street lighting according to claim 2, characterized in that: The construction process of the lighting uniformity fitness function is as follows: When all street lights are on the same road, N street lights can be divided into N / 2 grids, and data is constructed based on these N / 2 grids: Where L j is the number of lights on in the first j grids. At this time, the fitness function of the lighting uniformity is: Among them, Var(L) is the variance of the grid data L; When street lamps are located on different roads, the position of each street lamp is taken as a coordinate point, all coordinate points are obtained, and a polygon is formed; Select the coordinate points of the bright spot lamp, and the polygon forms a scatter diagram of the points of the enclosed space; According to the scatter diagram, a Voronoi diagram is calculated to obtain an area set A of Voronoi polygons; Solve the variance Var(A) and mean E(A) of the area set A. At this time, the lighting uniformity fitness function is: Where E(A) is the mean of the area set A of the Voronoi polygons, and Var(A) is the variance of the area set A of the Voronoi polygons.

4. The intelligent control method for street lighting according to claim 3, characterized in that: The duration fitness function is: Among them, T i is the usage time of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

5. The intelligent control method for street lighting according to claim 4, characterized in that: The importance fitness function is: Among them, G i is the importance of the i-th street light, is the lighting status of the i-th street lamp of the K-th individual in the population.

6. The intelligent control method for street lighting according to claim 5, characterized in that: The normalized formula for each fitness function is as follows: in, are the maximum and minimum values ​​of the i-th fitness function respectively.

7. The intelligent control method for street lighting according to any one of claims 1 to 6, characterized in that: After step S40, the method further includes: S51: If the fitness of the population individuals is less than the fitness of a preset individual, the population individuals are updated according to the genetic algorithm to obtain a new generation of population individuals, and steps S20.A, S20.B, S20.C, and S20.D are re-executed.

8. The intelligent control method for street lighting according to claim 7, characterized in that: Before step S51, the method further includes: S51.a: Is the number of iterations greater than a preset threshold? If not, execute step S51; if so, generate a light switch control solution using a preset individual representation.

9. A street lighting intelligent control device, characterized in that: include: Population initialization module: It is used to generate K initialization schemes as K individuals of the population according to the number of street lamps N in binary coding and combined with the online status information set and the fault status information set to complete the initialization of the street lamp population. Any individual in the population can be expressed as Light quantity fitness calculation module: used to calculate the light quantity fitness of each population individual according to the number of street lights, the minimum number of lights on and the light quantity fitness function; Lighting uniformity fitness calculation module: used to calculate the lighting uniformity fitness of each population individual according to the geographical location information set of a road lamp, the lighting uniformity fitness function and the lighting control scheme represented by each population individual; Use time fitness calculation module: used to calculate the use time fitness of each population individual according to the lighting control scheme represented by each population individual, the use time information of the corresponding street lamp and the time fitness function; Importance fitness calculation module: used to calculate the importance fitness of each population individual according to the importance set of street lamp positions, the importance fitness function and the lighting control scheme represented by each population individual; Comprehensive fitness function construction module: used to normalize each fitness function according to the fitness of the number of lights on, the fitness of the uniformity of lights on, the fitness of the duration of use, and the fitness of importance of each population individual, and sum the normalized fitness functions to obtain the comprehensive fitness function; Comprehensive fitness calculation module: used to calculate the comprehensive fitness of each population individual according to the comprehensive fitness function; Light switch control scheme generation module: used to generate a light switch control scheme based on the representation of the population individual with the largest fitness if the comprehensive fitness of the population individual is greater than the fitness of a preset individual.

10. A smart street lighting control system, characterized in that: include: The intelligent street lamp lighting control device, Internet of Things platform and multiple street lamps described in claim 9: The Internet of Things platform controls and obtains the status of multiple street lamps and the illumination information of the surrounding environment of the corresponding street lamps, and exchanges data with the street lamp lighting intelligent control device, and the street lamp lighting intelligent control device is used to generate a street lamp switch control plan.

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