A road lighting energy-saving control method

Abstract

The present invention relates to a road lighting energy-saving control method, and belongs to the technical field of road lighting energy-saving control. The method comprises: obtaining sunrise estimation time and sunset estimation time according to geographical location information of a road to be monitored, collecting environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the sunrise estimation time and sunset estimation time, generating lighting equipment control instructions according to the environmental brightness information, constructing a lighting parameter matrix and a weight matrix according to the environmental brightness information, visibility information and traffic flow information respectively, obtaining lighting parameter comprehensive weights and brightness judgment factors according to the lighting parameter matrix and the weight matrix, obtaining a dimming coefficient according to the brightness judgment factor combined with the road luminous flux, outputting a suitable brightness value through a dimming model according to the brightness ratio and the dimming coefficient, generating a dimming control instruction according to the suitable brightness value, improving data quality and equipment management efficiency, reducing resource waste, and realizing road lighting energy-saving control.

Description

Technical Field

[0001] The present invention belongs to the technical field of road lighting energy-saving control, and in particular relates to a road energy-saving control method. Background Art

[0002] In recent years, with the rapid growth of economy and population, the global demand for energy has continued to rise, and the imbalance between energy supply and demand has become increasingly prominent. As part of urban infrastructure, urban road lighting has increased year by year with the increasing number and mileage of roads in my country. It is of great significance to improve the quality of life of urban residents, enhance the image of the city, promote economic development and improve traffic safety. At present, most of the domestic street lighting control systems are fixed-point time switches, which are difficult to adjust in time for special situations such as different road conditions and seasonal changes. Not only is the management efficiency low, it consumes a lot of manpower and financial resources, but it is also easy to cause energy waste. Summary of the invention

[0003] In order to solve the above-mentioned problems existing in the prior art, the present invention provides a road energy-saving control method, which obtains the estimated sunrise time and the estimated sunset time through a sunrise and sunset estimation model according to the geographical location information of the road to be monitored, collects the environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the estimated sunrise time and sunset estimation time, generates a lighting equipment control instruction according to the environmental brightness information combined with a preset brightness threshold, constructs a lighting parameter matrix and a weight matrix according to the environmental brightness information, obtains lighting parameter weights and feature weights according to the lighting parameter matrix and the weight matrix, obtains lighting parameter comprehensive weights according to the lighting parameter weights and the feature weights, obtains brightness judgment factors according to the comprehensive weights of the lighting parameters, obtains a dimming coefficient through the road luminous flux according to the brightness judgment factor combined with the environmental brightness information, outputs a suitable brightness value through a dimming model according to the brightness ratio and the dimming coefficient, and generates a dimming control instruction according to the suitable brightness value, thereby improving data quality and equipment management efficiency, reducing resource waste, and realizing energy-saving control of road lighting.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] A road lighting energy-saving control method specifically comprises the following steps:

[0006] S1: Acquire geographical location information of the road to be monitored, and obtain the estimated sunrise time and sunset time of the road to be monitored through a sunrise and sunset estimation model according to the geographical location information, wherein the geographical location information includes the longitude of the road location, the latitude of the road location, the mean anomaly angle, the ecliptic longitude value and the earth inclination;

[0007] S2: setting an information collection time according to the estimated sunrise time and the estimated sunset time, collecting the environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the information collection time, and generating a lighting equipment control instruction according to the environmental brightness information combined with a preset brightness threshold, wherein the environmental brightness information includes a road surface brightness value and a road average brightness value, the traffic flow information includes vehicle flow and pedestrian flow, and the lighting equipment control instruction includes an on control instruction and a off control instruction;

[0008] S3: constructing a lighting parameter matrix according to the ambient brightness information, the visibility information and the traffic flow information, normalizing the lighting parameter matrix to obtain a normalized matrix, and obtaining lighting parameter weights according to the normalized matrix by a weighting method;

[0009] S4: constructing a weight matrix according to the ambient brightness information, the visibility information and the traffic flow information, obtaining a feature weight through data processing according to the weight matrix, obtaining a lighting parameter comprehensive weight through comprehensive weighting according to the lighting parameter weight and the feature weight, and weighting the lighting parameter according to the lighting parameter comprehensive weight to obtain a brightness judgment factor;

[0010] S5: Based on the brightness judgment factor and the ambient brightness information, the formula The brightness ratio is calculated, wherein Si represents the brightness ratio, di represents the brightness judgment factor, EAVG represents the road surface brightness value, LAVG represents the standard brightness value, the road luminous flux is determined, and the dimming coefficient is calculated according to the road luminous flux through the formula DF=GW / GE, wherein DF represents the dimming coefficient, GW represents the road luminous flux, and GE represents the total luminous flux. A dimming model is constructed according to the brightness ratio and the dimming coefficient, and a suitable brightness value is output through the dimming model. A dimming control instruction is generated according to the suitable brightness value. The dimming model is expressed as: in, Dl ig h t represents the appropriate brightness value, DF represents the dimming coefficient, Yi represents the filter coefficient, α represents the dimming weight, θ represents the normalization coefficient, Si represents the brightness ratio.

[0011] Preferably, the step S1 specifically includes the following steps:

[0012] S101: Based on the geographic location information, a formula is used The solar time angle of the road location, the ecliptic longitude of the road location and the solar deviation of the road location are calculated, K represents the ecliptic longitude of the road location, R represents the ecliptic longitude value, H represents the mean anomaly angle, L represents the solar deviation of the road location, Y represents the earth inclination, and B represents the solar time angle of the road location;

[0013] S102: Obtain the sunrise time of the previous day and the sunset time of the previous day at the location of the road, obtain a time correction factor through correction function processing according to the solar time angle of the location of the road, the ecliptic longitude of the location of the road and the solar deviation of the location of the road, and obtain the estimated sunrise time and the estimated sunset time according to the time correction factor.

[0014] Preferably, the step S102 specifically includes the correction function being expressed as: Wherein, ki represents the time correction factor, B represents the solar time angle of the road location, L represents the solar deviation of the road location, K represents the ecliptic longitude of the road location, M represents the latitude of the road location, arccos(.) represents the inverse cosine function, and the time zone of the road location is obtained according to the latitude and longitude of the road location. The time correction factor is combined with the time zone of the road location through the formula The estimated sunrise time and the estimated sunset time are calculated, where Tc represents the estimated sunrise time, Tl represents the estimated sunset time, B represents the solar time angle of the location of the road, A represents the time zone of the location of the road, ki represents the time correction factor, J represents the longitude of the location of the road, Tcs represents the sunrise time of the previous day, and Tls represents the sunset time of the previous day.

[0015] Preferably, the step S2 specifically includes when the road surface brightness value is greater than or equal to the preset brightness threshold, the lighting device control instruction is the off control instruction, and when the road surface brightness value is less than the preset brightness threshold, the lighting device control instruction is the on control instruction.

[0016] Preferably, the step S3 specifically includes the following steps:

[0017] S301: constructing a lighting parameter set according to the ambient brightness information, the visibility information and the traffic flow information, wherein the lighting parameter set is expressed as: OP = [O1 O2 O3O4 O5], wherein OP represents the lighting parameter set, O1, O2, O3, O4 and O5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, selecting m groups of lighting parameter sets, and constructing the lighting parameter matrix according to the m groups of lighting parameter sets, wherein the lighting parameter matrix is ​​expressed as: Among them, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, where m represents the number of groups of the lighting parameter set;

[0018] S302: The normalized matrix calculation formula is expressed as: Among them, H m×5 represents the normalized matrix with m rows and 5 columns, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, min(.) represents the minimum value function, represents the minimum value in the 5th column, max(.) represents the maximum value function, Represents the maximum value in column 5, according to the normalized matrix by the formula Calculate the index weight of lighting parameters, where n≤5, R in represents the index weight of the nth lighting parameter, and the index weight of the lighting parameter is calculated by the formula The lighting parameter weight is calculated, where Cn represents the lighting parameter weight, R in represents the index weight of the nth lighting parameter.

[0019] Preferably, the step S4 specifically includes the following steps:

[0020] S401: Obtain lighting parameter indicators, and construct the weight matrix according to the ambient brightness information, the visibility information, and the traffic flow information combined with the lighting parameter indicators. The weight matrix is ​​expressed as: Wherein, RT represents the weight matrix, Q1, W1, E1, R1 and T1 represent the lighting parameter index, S1, S2, S3, S4 and S5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, and the maximum eigenvalue is obtained according to the weight matrix;

[0021] S402: Obtain a feature vector according to the maximum feature value, normalize the feature vector to obtain the feature weight, and calculate the feature weight and the lighting parameter weight using the formula The comprehensive weight of the lighting parameters is obtained by calculation, where Dn represents the comprehensive weight of the lighting parameters. Cn represents the lighting parameter weight, An represents the feature weight, and the brightness judgment factor calculation formula is expressed as: Among them, di represents the brightness judgment factor, Dn represents the comprehensive weight of the lighting parameter, and On represents the lighting parameter.

[0022] The beneficial effects of the present invention are:

[0023] 1. Obtaining geographic location information of the road to be monitored, obtaining the estimated sunrise time and sunset time of the road to be monitored through a sunrise and sunset estimation model according to the geographic location information, setting the information collection time according to the estimated sunrise time and the estimated sunset time, collecting the environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the information collection time, generating a lighting equipment control instruction according to the environmental brightness information combined with a preset brightness threshold, obtaining the estimated sunrise time and sunset time according to the geographic location information of the road to be monitored, and setting the information collection time according to the estimated sunset time and sunrise time. This is conducive to improving data quality, and the sensor of the lighting equipment does not need to work all day, which reduces the amount of data calculation and improves equipment management efficiency;

[0024] 2. Construct a lighting parameter matrix according to the ambient brightness information, visibility information and traffic flow information, normalize the lighting parameter matrix to obtain a normalized matrix, process the normalized matrix through a weight method to obtain lighting parameter weights, construct a weight matrix according to the ambient brightness information, visibility information and traffic flow information, obtain feature weights through data processing according to the weight matrix, obtain comprehensive lighting parameter weights through comprehensive weighting according to the lighting parameter weights and feature weights, weight the lighting parameters according to the comprehensive lighting parameter weights to obtain a brightness judgment factor, process the ambient brightness information, visibility information and traffic flow information, and combine the importance of the lighting parameters to achieve dynamic judgment of the required brightness of the road to be inspected, which is conducive to making decisions on the brightness adjustment of road lighting equipment;

[0025] 3. The brightness ratio is obtained according to the brightness judgment factor combined with the ambient brightness information, the dimming coefficient is obtained according to the road luminous flux, a dimming model is constructed according to the brightness ratio and the dimming coefficient, the appropriate brightness value is output through the dimming model, and the dimming control instruction is generated according to the appropriate brightness value, thereby realizing energy-saving control of road lighting, reducing resource waste, and reducing light pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0027] Figure 1 It is a schematic diagram of the flow chart of the road lighting energy-saving control method of the present invention. DETAILED DESCRIPTION

[0028] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0029] See also Figure 1, a road lighting energy-saving control method, specifically comprising the following steps:

[0030] S1: Acquire geographical location information of the road to be monitored, and obtain the estimated sunrise time and sunset time of the road to be monitored through a sunrise and sunset estimation model according to the geographical location information, wherein the geographical location information includes the longitude of the road location, the latitude of the road location, the mean anomaly angle, the ecliptic longitude value and the earth inclination;

[0031] S2: setting an information collection time according to the estimated sunrise time and the estimated sunset time, collecting the environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the information collection time, and generating a lighting equipment control instruction according to the environmental brightness information combined with a preset brightness threshold, wherein the environmental brightness information includes a road surface brightness value and a road average brightness value, the traffic flow information includes vehicle flow and pedestrian flow, and the lighting equipment control instruction includes an on control instruction and a off control instruction;

[0032] S3: constructing a lighting parameter matrix according to the ambient brightness information, the visibility information and the traffic flow information, normalizing the lighting parameter matrix to obtain a normalized matrix, and obtaining lighting parameter weights according to the normalized matrix by a weighting method;

[0033] S4: constructing a weight matrix according to the ambient brightness information, the visibility information and the traffic flow information, obtaining a feature weight through data processing according to the weight matrix, obtaining a lighting parameter comprehensive weight through comprehensive weighting according to the lighting parameter weight and the feature weight, and weighting the lighting parameter according to the lighting parameter comprehensive weight to obtain a brightness judgment factor;

[0034] S5: Based on the brightness judgment factor and the ambient brightness information, the formula The brightness ratio is calculated, wherein Si represents the brightness ratio, di represents the brightness judgment factor, EAVG represents the road surface brightness value, LAVG represents the standard brightness value, the road luminous flux is determined, and the dimming coefficient is calculated according to the road luminous flux through the formula DF=GW / GE, wherein DF represents the dimming coefficient, GW represents the road luminous flux, and GE represents the total luminous flux. A dimming model is constructed according to the brightness ratio and the dimming coefficient, and a suitable brightness value is output through the dimming model. A dimming control instruction is generated according to the suitable brightness value. The dimming model is expressed as: Wherein, Dlight represents the appropriate brightness value, DF represents the dimming coefficient, Yi represents the filter coefficient, α represents the dimming weight, θ represents the normalization coefficient, and Si represents the brightness ratio.

[0035] The brightness ratio is obtained by processing the brightness judgment factor and the ambient brightness information, and the dimming coefficient is obtained according to the road luminous flux. A dimming model is constructed according to the brightness ratio and the dimming coefficient. The appropriate brightness value is output through the dimming model, and a dimming control instruction is generated according to the appropriate brightness value. Energy-saving control of road lighting is achieved, resource waste is reduced, and light pollution is reduced.

[0036] Specifically, the step S1 comprises the following steps:

[0037] S101: Based on the geographic location information, a formula is used The solar time angle of the road location, the ecliptic longitude of the road location and the solar deviation of the road location are calculated, K represents the ecliptic longitude of the road location, R represents the ecliptic longitude value, H represents the mean anomaly angle, L represents the solar deviation of the road location, Y represents the earth inclination, and B represents the solar time angle of the road location;

[0038] S102: Obtain the sunrise time of the previous day and the sunset time of the previous day at the location of the road, obtain a time correction factor through correction function processing according to the solar time angle of the location of the road, the ecliptic longitude of the location of the road and the solar deviation of the location of the road, and obtain the estimated sunrise time and the estimated sunset time according to the time correction factor.

[0039] Specifically, the step S102 specifically includes the correction function being expressed as: Wherein, ki represents the time correction factor, B represents the solar time angle of the road location, L represents the solar deviation of the road location, K represents the ecliptic longitude of the road location, M represents the latitude of the road location, arccos(.) represents the inverse cosine function, and the time zone of the road location is obtained according to the latitude and longitude of the road location. The time correction factor is combined with the time zone of the road location through the formula The estimated sunrise time and the estimated sunset time are calculated, where Tc represents the estimated sunrise time, Tl represents the estimated sunset time, B represents the solar time angle of the location of the road, A represents the time zone of the location of the road, ki represents the time correction factor, J represents the longitude of the location of the road, Tcs represents the sunrise time of the previous day, and Tls represents the sunset time of the previous day.

[0040] It should be noted that the estimated sunrise time and the estimated sunset time are used as the basis for time control. When the scheduled information collection time is reached, the environmental brightness information, visibility information and traffic flow information are collected and processed and analyzed. This reduces the sensor operation time, reduces the amount of data calculation, and is conducive to improving data quality. The sensors of the lighting equipment do not need to work all day, which improves the equipment management efficiency.

[0041] Specifically, the step S2 specifically includes that when the road surface brightness value is greater than or equal to the preset brightness threshold, the lighting device control instruction is the off control instruction, and when the road surface brightness value is less than the preset brightness threshold, the lighting device control instruction is the on control instruction.

[0042] Specifically, step S3 includes the following steps:

[0043] S301: constructing a lighting parameter set according to the ambient brightness information, the visibility information and the traffic flow information, wherein the lighting parameter set is expressed as: OP = [O1 O2 O3O4 O5], wherein OP represents the lighting parameter set, O1, O2, O3, O4 and O5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, selecting m groups of lighting parameter sets, and constructing the lighting parameter matrix according to the m groups of lighting parameter sets, wherein the lighting parameter matrix is ​​expressed as: Among them, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, where m represents the number of groups of the lighting parameter set;

[0044] S302: The normalized matrix calculation formula is expressed as: Among them, H m×5 represents the normalized matrix with m rows and 5 columns, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, min(.) represents the minimum value function, represents the minimum value in the 5th column, max(.) represents the maximum value function, Represents the maximum value in column 5, according to the normalized matrix by the formula Calculate the index weight of lighting parameters, where n≤5, R in represents the index weight of the nth lighting parameter, and the index weight of the lighting parameter is calculated by the formula The lighting parameter weight is calculated, where Cn represents the lighting parameter weight, R in represents the index weight of the nth lighting parameter.

[0045] It should be noted that, because different parameters have different units, it is difficult to compare the data. The lighting parameter matrix is ​​normalized so that the processed data can be directly compared. Each lighting parameter set corresponds to 5 lighting parameters, and the lighting parameters include the road surface brightness value, the average road brightness value, the visibility information, the vehicle flow and the pedestrian flow.

[0046] Specifically, the step S4 comprises the following steps:

[0047] S401: Obtain lighting parameter indicators, and construct the weight matrix according to the ambient brightness information, the visibility information, and the traffic flow information combined with the lighting parameter indicators. The weight matrix is ​​expressed as: Wherein, RT represents the weight matrix, Q1, W1, E1, R1 and T1 represent the lighting parameter index, S1, S2, S3, S4 and S5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, and the maximum eigenvalue is obtained according to the weight matrix;

[0048] S402: Obtain a feature vector according to the maximum feature value, normalize the feature vector to obtain the feature weight, and calculate the feature weight and the lighting parameter weight using the formula The comprehensive weight of the lighting parameters is calculated, Dn represents the comprehensive weight of the lighting parameters, Cn represents the lighting parameter weight, An represents the characteristic weight, and the calculation formula of the brightness judgment factor is expressed as: Among them, di represents the brightness judgment factor, Dn represents the comprehensive weight of the lighting parameter, and On represents the lighting parameter.

[0049] It should be noted that the lighting parameter index represents the importance of the lighting parameter. According to the importance, the lighting parameters are compared pairwise to obtain a weight matrix. The lighting parameter index includes equal importance, obvious importance, second strongest importance, second extremely important and extremely important. Q1, W1, E1, R1 and T1 represent equal importance, obvious importance, second strongest importance, second extremely important and extremely important respectively. By processing the ambient brightness information, visibility information and traffic flow information, and combining the importance of the lighting parameters, a dynamic judgment of the brightness required for the road to be inspected is achieved, which is conducive to making decisions on the brightness adjustment of the road lighting equipment.

[0050] The working principle and use process of the present invention:

[0051] According to the geographical location information of the road to be monitored, the sunrise estimated time and the sunset estimated time are obtained through the sunrise and sunset estimation model; according to the sunrise estimated time and the sunset estimated time, the environmental brightness information, visibility information and traffic flow information of the road to be monitored are collected; according to the environmental brightness information and the preset brightness threshold, the lighting equipment control instruction is generated; according to the environmental brightness information, the visibility information and the traffic flow information, a lighting parameter matrix and a weight matrix are respectively constructed; according to the lighting parameter matrix and the weight matrix, the lighting parameter weights and the characteristic weights are respectively obtained; according to the lighting parameter weights and the characteristic weights, the comprehensive weights of the lighting parameters are obtained through comprehensive weighting; according to the comprehensive weights of the lighting parameters, the lighting parameters are weighted to obtain a brightness judgment factor; according to the brightness judgment factor and the environmental brightness information, the dimming coefficient is obtained through the road luminous flux; according to the brightness ratio and the dimming coefficient, the appropriate brightness value is output through the dimming model; and the dimming control instruction is generated according to the appropriate brightness value.

[0052] The program code included in the method in the embodiment of the present invention can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, etc., or any suitable combination mentioned above. The computer program code for performing the operation of the present invention can be written with one or more programming languages ​​or their combination, and the programming language includes object-oriented programming languages--such as Java, Smalltalk, C++, and also includes conventional procedural programming languages--such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on the remote computer, or executed completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0053] The above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A road lighting energy-saving control method, characterized in that: The specific steps include: S1: Acquire geographical location information of the road to be monitored, and obtain the estimated sunrise time and sunset time of the road to be monitored through a sunrise and sunset estimation model according to the geographical location information, wherein the geographical location information includes the longitude of the road location, the latitude of the road location, the mean anomaly angle, the ecliptic longitude value and the earth inclination; S2: setting an information collection time according to the estimated sunrise time and the estimated sunset time, collecting the environmental brightness information, visibility information and traffic flow information of the road to be monitored according to the information collection time, and generating a lighting equipment control instruction according to the environmental brightness information combined with a preset brightness threshold, wherein the environmental brightness information includes a road surface brightness value and a road average brightness value, the traffic flow information includes vehicle flow and pedestrian flow, and the lighting equipment control instruction includes an on control instruction and a off control instruction; S3: constructing a lighting parameter matrix according to the ambient brightness information, the visibility information and the traffic flow information, normalizing the lighting parameter matrix to obtain a normalized matrix, and obtaining lighting parameter weights according to the normalized matrix by a weighting method; S4: constructing a weight matrix according to the ambient brightness information, the visibility information and the traffic flow information, obtaining a feature weight through data processing according to the weight matrix, obtaining a lighting parameter comprehensive weight through comprehensive weighting according to the lighting parameter weight and the feature weight, and weighting the lighting parameter according to the lighting parameter comprehensive weight to obtain a brightness judgment factor; S5: Based on the brightness judgment factor and the ambient brightness information, the formula The brightness ratio is calculated, wherein Si represents the brightness ratio, di represents the brightness judgment factor, EAVG represents the road surface brightness value, LAVG represents the standard brightness value, the road luminous flux is determined, and the dimming coefficient is calculated according to the road luminous flux through the formula DF=GW / GE, wherein DF represents the dimming coefficient, GW represents the road luminous flux, and GE represents the total luminous flux. A dimming model is constructed according to the brightness ratio and the dimming coefficient, and a suitable brightness value is output through the dimming model. A dimming control instruction is generated according to the suitable brightness value. The dimming model is expressed as: in, Dl ig h t represents the appropriate brightness value, DF represents the dimming coefficient, Yi represents the filter coefficient, α represents the dimming weight, θ represents the normalization coefficient, and Si represents the brightness ratio.

2. The road lighting energy-saving control method according to claim 1, characterized in that: Step S1 specifically includes the following steps: S101: Based on the geographic location information, a formula is used The solar time angle of the road location, the ecliptic longitude of the road location and the solar deviation of the road location are calculated, K represents the ecliptic longitude of the road location, R represents the ecliptic longitude value, H represents the mean anomaly angle, L represents the solar deviation of the road location, Y represents the earth inclination, and B represents the solar time angle of the road location; S102: Obtain the sunrise time of the previous day and the sunset time of the previous day at the location of the road, obtain a time correction factor through correction function processing according to the solar time angle of the location of the road, the ecliptic longitude of the location of the road and the solar deviation of the location of the road, and obtain the estimated sunrise time and the estimated sunset time according to the time correction factor.

3. The road lighting energy-saving control method according to claim 2, characterized in that: Step S102 specifically includes the correction function expressed as: Wherein, ki represents the time correction factor, B represents the solar time angle of the road location, L represents the solar deviation of the road location, K represents the ecliptic longitude of the road location, M represents the latitude of the road location, arccos(.) represents the inverse cosine function, and the time zone of the road location is obtained according to the latitude and longitude of the road location. The time correction factor is combined with the time zone of the road location through the formula The estimated sunrise time and the estimated sunset time are calculated, where Tc represents the estimated sunrise time, Tl represents the estimated sunset time, B represents the solar time angle of the location of the road, A represents the time zone of the location of the road, ki represents the time correction factor, J represents the longitude of the location of the road, Tcs represents the sunrise time of the previous day, and Tls represents the sunset time of the previous day.

4. The road lighting energy-saving control method according to claim 1, characterized in that: Step S2 specifically includes when the road surface brightness value is greater than or equal to the preset brightness threshold, the lighting device control instruction is the closing control instruction, and when the road surface brightness value is less than the preset brightness threshold, the lighting device control instruction is the opening control instruction.

5. The road lighting energy-saving control method according to claim 1, characterized in that: Step S3 specifically includes the following steps: S301: constructing a lighting parameter set according to the ambient brightness information, the visibility information and the traffic flow information, wherein the lighting parameter set is expressed as: OP = [O1 O2 O3 O4 O5], wherein OP represents the lighting parameter set, O1, O2, O3, O4 and O5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, selecting m groups of lighting parameter sets, and constructing the lighting parameter matrix according to the m groups of lighting parameter sets, wherein the lighting parameter matrix is ​​expressed as: Among them, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, where m represents the number of groups of the lighting parameter set; S302: The normalized matrix calculation formula is expressed as: Among them, H m×5 represents the normalized matrix with m rows and 5 columns, Z m×5 represents the lighting parameter matrix with m rows and 5 columns, min(.) represents the minimum value function, represents the minimum value in the 5th column, max(.) represents the maximum value function, Represents the maximum value in column 5, according to the normalized matrix by the formula Calculate the index weight of lighting parameters, where n≤5, R in represents the index weight of the nth lighting parameter, and the index weight of the lighting parameter is calculated by the formula The lighting parameter weight is calculated, where Cn represents the lighting parameter weight, R in represents the index weight of the nth lighting parameter.

6. The road lighting energy-saving control method according to claim 1, characterized in that: Step S4 specifically includes the following steps: S401: Obtain lighting parameter indicators, and construct the weight matrix according to the ambient brightness information, the visibility information, and the traffic flow information combined with the lighting parameter indicators. The weight matrix is ​​expressed as: Wherein, RT represents the weight matrix, Q1, W1, E1, R1 and T1 represent the lighting parameter index, S1, S2, S3, S4 and S5 represent the road surface brightness value, the road average brightness value, the visibility information, the vehicle flow and the pedestrian flow respectively, and the maximum eigenvalue is obtained according to the weight matrix; S402: Obtain a feature vector according to the maximum feature value, normalize the feature vector to obtain the feature weight, and calculate the feature weight and the lighting parameter weight using the formula The comprehensive weight of the lighting parameters is calculated, Dn represents the comprehensive weight of the lighting parameters, Cn represents the lighting parameter weight, An represents the characteristic weight, and the calculation formula of the brightness judgment factor is expressed as: Among them, di represents the brightness judgment factor, Dn represents the comprehensive weight of the lighting parameter, and On represents the lighting parameter.

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