A method and system for analyzing carbon emissions of road lighting based on optoelectronic parameters

Abstract

The present invention relates to a method and system for analyzing carbon emissions of road lighting based on optoelectronic parameters, belonging to the field of carbon emission analysis. Among them, the method includes: presetting a calculation area for carbon emissions of road lighting, and collecting optoelectronic parameters of road lighting equipment within the calculation area for carbon emissions of road lighting; setting carbon emission coefficients according to the energy sources of road lighting equipment, and calculating the regional carbon emission coefficients of road lighting equipment based on the optoelectronic parameters; constructing a carbon emission analysis model through the regional carbon emission coefficients and the location information of road lighting equipment, and performing optimization scheduling analysis according to the carbon emission limit of the calculation area for carbon emissions of road lighting and the topological structure of lighting equipment in the carbon emission analysis model to obtain an emission reduction optimization result; adjusting the starting power and operating time of the corresponding road lighting equipment within the calculation area for carbon emissions of road lighting according to the emission reduction optimization result. Determine the carbon emission calculation boundary of the road lighting system to more comprehensively evaluate the carbon emission situation of the lighting system.

Description

Technical Field

[0001] The present invention belongs to the field of carbon emission analysis, and particularly relates to a method and system for analyzing road lighting carbon emissions based on optoelectronic parameters. Background Art

[0002] With the global emphasis on climate change and environmental protection, energy consumption and carbon emissions have become important issues of concern to governments and enterprises in various countries. In this context, as an important part of urban energy consumption, the energy consumption and carbon emissions of the lighting system have increasingly become the focus of attention, and carbon emission analysis has become an important means for evaluating and managing urban energy consumption and environmental impacts. Existing methods only consider the basic parameters of lighting equipment, without considering the influence of other factors on energy consumption and carbon emissions, such as ambient light conditions, climate conditions, etc., thus affecting the comprehensiveness and accuracy of the analysis results; the energy required for the road lighting system mainly comes from electric energy, and the calculation of carbon emissions and carbon emission characteristics of road lighting rely on the energy consumption calculation of the road lighting system. Due to the wide and scattered distribution of the road lighting system, the setting of road lighting will change with the change of traffic volume in different periods of the road, with the characteristics of uncertainty, and the accuracy of the collected equipment data is low; traditional road lighting system designs mostly refer to similar engineering cases and empirical data, and it is difficult to ensure that the lighting layout parameters are optimal under the specification requirements, increasing unnecessary lighting energy consumption; the actual usage duration of road lighting equipment and the replacement situation of end equipment are also difficult to accurately estimate, resulting in the deviation of the energy consumption calculation results from the actual situation, thus affecting the energy allocation analysis of energy management and carbon asset managers. Summary of the Invention

[0003] To solve the above problems existing in the prior art, the present invention provides a method and system for analyzing road lighting carbon emissions based on optoelectronic parameters;

[0004] The object of the present invention can be achieved by the following technical solutions:

[0005] A method for analyzing road lighting carbon emissions based on optoelectronic parameters, comprising:

[0006] S1: Preset a calculation area for road lighting carbon emissions, and collect the optoelectronic parameters of road lighting equipment within the calculation area for road lighting carbon emissions, where the optoelectronic parameters include the luminous flux and operating duration of a single lamp in the lighting equipment;

[0007] S2: Set a carbon emission coefficient according to the energy source of the road lighting equipment, and calculate the regional carbon emission coefficient of the road lighting equipment according to the optoelectronic parameters;

[0008] S3: Construct a carbon emission analysis model based on the regional carbon emission coefficient and the location information of the road lighting equipment. Optimize the scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting equipment in the carbon emission analysis model to obtain the emission reduction optimization result;

[0009] S4: Adjust the starting power and operating time of the corresponding road lighting equipment within the road lighting carbon emission calculation area according to the emission reduction optimization result.

[0010] Specifically, the optoelectronic parameter measurement method is as follows: Preset measurement positions within the road lighting carbon emission calculation area, set illuminometers at the measurement positions, obtain the illuminance through the illuminometers, and calculate the regional luminous flux of the lighting equipment within the road lighting carbon emission area according to the illuminance.

[0011] Specifically, the regional luminous flux calculation method is as follows:

[0012] Construct a light source model based on the road lighting equipment position and the measurement position. Consider the road lighting equipment as a Lambertian light source, and calculate the illuminance distribution of the road lighting equipment at the measurement position through the light source model. The calculation formula is:

[0013]

[0014] Among them, (x, y, z) are the coordinates of the measurement surface at the measurement position, (x 0 , y 0 , z 0 ) are the geometric center point coordinates of the lighting equipment, E(x, y, z) is the illuminance of the lighting equipment on the measurement surface at the measurement position, z is the distance between the measurement position and the road lighting equipment, m is the luminous characteristic coefficient of the lighting equipment, L LED is the radiant luminance of the lighting equipment, A LED is the luminous area of the lighting equipment;

[0015] Statistically analyze the illuminance measured at the measurement position, and calculate the luminous flux corresponding to the lighting equipment through the illuminance measured at the measurement position and the lighting area of the lighting equipment.

[0016] Specifically, the carbon emission coefficient calculation method is as follows:

[0017] S201: Calculate the energy consumption of the road lighting equipment according to the optoelectronic parameters. The calculation formula is:

[0018]

[0019] Among them, E is the energy consumption, N is the total number of lighting equipment within the carbon emission calculation area, i is the lighting equipment count, η iFor the luminous efficacy of a single luminaire in a lighting device, L i For the luminous flux of a lighting device, t i For the operating duration of the lighting device, Num i For the number of luminaires;

[0020] S202: Determine the power supply area according to the regional energy distribution information of the road lighting carbon emission calculation area, and obtain the regional grid power generation according to the energy consumption, the fuel efficiency and transmission loss of the power supply area;

[0021] S203: Obtain the regional energy balance sheet, and calculate the line loss ratio of the road lighting carbon emission calculation area through the power transmission loss statistic in the regional energy balance sheet and the end - consumption of road lighting. The calculation formula is: λ e =E loss / (E f +E loss ), where λ e is the line loss ratio, E loss is the power transmission loss, and E f is the end - consumption of road lighting;

[0022] S204: Calculate the carbon emissions corresponding to the regional grid power generation according to the total power generation and the corresponding total carbon emissions of the power grid, obtain the electric energy exchange information between regional grids through the regional electric power industry statistics information, and calculate the carbon emission coefficient of the carbon emission calculation area through the carbon emissions corresponding to the regional grid power generation, the electric energy exchange information and the line loss ratio. The calculation formula is:

[0023]

[0024] where E e is the carbon emission coefficient of the carbon emission calculation area, C e is the total carbon emissions of regional power generation, E i is the regional power generation, j is the regional grid count, n is the total number of regional grids with electric energy exchange, E ij.out is the power output from regional grid i to regional grid j in the carbon emission calculation area, E ij.in is the power input from regional grid j to regional grid i in the carbon emission calculation area, and λ e is the line loss ratio.

[0025] Specifically, the operation process of the carbon emission analysis model is:

[0026] Set the road lighting device as an edge node, and calculate the carbon emission flow of the edge node through the branch carbon flow density of the regional grid node;

[0027] Construct an edge node carbon emission constraint based on the carbon emission flow of the edge node and the output power limit of the road lighting equipment, and construct a regional carbon emission constraint based on the carbon emission limit of the road lighting carbon emission calculation area and the basic lighting demand of the lighting management area;

[0028] Construct an optimization objective function to minimize the carbon emission cost, dynamically assign the power and operating time of the edge node to obtain an optimization objective set, extract the linear combination of the power and operating time in the optimization objective set where the carbon emission flow of the edge node is less than the edge node carbon emission constraint and the regional carbon emission constraint, calculate the carbon emission cost of the linear combination through the optimization objective function, and take the power and operating time of the edge node corresponding to the minimum value in the carbon emission cost as the emission reduction optimization result.

[0029] The optimization objective function takes the corresponding power and operating duration of the edge node as control variables, and the expression is: f(W, t) = E e (E(W, t)), where f(W, t) is the carbon emission cost calculated by the optimization objective function, E(W, t) is the energy consumption corresponding to the power and operating duration of the lighting equipment, and E e is the corresponding regional carbon emission coefficient; the branch carbon flow density is the ratio of the carbon emission coefficient of the edge node to the length of the branch connecting the regional power grid node, and the carbon emission flow is the sum of the branch carbon flow densities of the edge node.

[0030] A road lighting carbon emission analysis system based on optoelectronic parameters, including: a data measurement module, a data analysis module, an optimization scheduling module, and a task execution module;

[0031] The data measurement module is used to preset a road lighting carbon emission calculation area and collect the optoelectronic parameters of road lighting equipment in the road lighting carbon emission calculation area. The optoelectronic parameters include the power, luminous flux, and usage duration of the lighting equipment;

[0032] The data analysis module is used to set the carbon emission coefficient according to the energy source of the road lighting equipment and calculate the regional carbon emission coefficient of the road lighting equipment according to the optoelectronic parameters;

[0033] The optimization scheduling module is used to construct a carbon emission analysis model through the regional carbon emission coefficient and the location information of the road lighting equipment, and perform optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting equipment in the carbon emission analysis model to obtain the emission reduction optimization result;

[0034] The task execution module is used to adjust the starting power and operating time of the corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result.

[0035] The beneficial effects of the present invention are as follows:

[0036] By measuring the optoelectronic parameters of the road lighting system and then calculating the carbon emission coefficient of the road lighting system based on these optoelectronic parameters, the calculation of the carbon emission coefficient is relatively simple and intuitive, and the carbon emission situation of the road lighting system can be evaluated more accurately, and adjustments and optimizations can be made according to the actual situation; a carbon emission analysis model is constructed through the regional carbon emission coefficient and the position information of the road lighting equipment, considering the energy consumption of each lamp at a specific position and combining with the regional carbon emission coefficient, estimating the carbon emissions of the road lighting system in this area, solving the problem that the energy consumption of lighting equipment at different positions is different, and the model estimates the carbon emissions more accurately; adjusting the starting power and operating time of the corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result, realizing the optimization of energy utilization, reducing the carbon emissions, and thus achieving an obvious emission reduction effect in the area. According to the emission reduction optimization result, the starting power and operating time of the road lighting equipment can be flexibly adjusted and adjusted according to actual needs to meet the lighting requirements while minimizing carbon emissions to the greatest extent. Brief Description of the Drawings

[0037] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0038] Figure 1 It is a schematic flowchart of a method for analyzing road lighting carbon emissions based on optoelectronic parameters of the present invention. Detailed Embodiments

[0039] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein: rather, these embodiments are provided so that this disclosure will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art. In addition, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be used. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present disclosure. The blocks shown in the drawings are only functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices. The flowcharts shown in the drawings are only illustrative and do not necessarily include all the contents and operations / steps, nor do they have to be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to the actual situation.

[0040] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following specifically describes in detail the specific implementation manners, structures, features, and their effects of the present invention in conjunction with the accompanying drawings and preferred embodiments.

[0041] Please refer to Figure 1 , a method and system for analyzing road lighting carbon emissions based on optoelectronic parameters:

[0042] S1: Preset a road lighting carbon emission calculation area, and collect the optoelectronic parameters of road lighting devices within the road lighting carbon emission calculation area. The optoelectronic parameters include the luminous flux and operating duration of a single lamp in the lighting device;

[0043] S2: Set a carbon emission coefficient according to the energy source of the road lighting device, and calculate the regional carbon emission coefficient of the road lighting device according to the optoelectronic parameters;

[0044] S3: Construct a carbon emission analysis model through the regional carbon emission coefficient and the location information of the road lighting device, and perform optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting device in the carbon emission analysis model to obtain a emission reduction optimization result;

[0045] S4: Adjust the starting power and operating time of the corresponding road lighting devices within the road lighting carbon emission calculation area according to the emission reduction optimization results.

[0046] Specifically, the optoelectronic parameter measurement method is as follows: preset measurement positions within the road lighting carbon emission calculation area, set illuminometers at the measurement positions, obtain illuminance through the illuminometers, and calculate the regional luminous flux of the lighting devices within the road lighting carbon emission area according to the illuminance.

[0047] Specifically, the regional luminous flux calculation method is as follows:

[0048] Construct a light source model based on the positions of the road lighting devices and the measurement positions, regard the road lighting devices as Lambertian light sources, calculate the illuminance distribution of the road lighting devices at the measurement positions through the light source model, and the calculation formula is:

[0049]

[0050] where (x, y, z) are the coordinates of the measurement plane at the measurement position, (x 0 , y 0 , z 0 ) are the geometric center point coordinates of the lighting device, E(x, y, z) is the illuminance of the lighting device on the measurement plane at the measurement position, z is the distance between the measurement position and the road lighting device, m is the luminous characteristic coefficient of the lighting device, L LED is the radiant luminance of the lighting device, A LED is the luminous area of the lighting device;

[0051] Statistically analyze the illuminance measured at the measurement positions, and calculate the luminous flux corresponding to the lighting device through the illuminance measured at the measurement positions and the lighting area of the lighting device.

[0052] Specifically, the carbon emission coefficient calculation method is as follows:

[0053] S201: Calculate the energy consumption of the road lighting devices according to the optoelectronic parameters, and the calculation formula is:

[0054]

[0055] where E is the energy consumption, N is the total number of lighting devices within the carbon emission calculation area, i is the lighting device count, η i is the luminous efficacy of a single lamp in the lighting device, L i is the luminous flux of the lighting device, t i is the operating duration of the lighting device, Num i is the number of lamps;

[0056] S202: Determine the power supply area according to the regional energy distribution information of the road lighting carbon emission calculation area, and obtain the regional power grid power generation according to the energy consumption, the fuel efficiency and the transmission loss of the power supply area;

[0057] S203: Obtain the regional energy balance sheet, and calculate the line loss ratio of the road lighting carbon emission calculation area through the power transmission loss statistic and the road lighting terminal consumption volume in the regional energy balance sheet. The calculation formula is: λ e = E loss / (E f + E loss ), where λ e is the line loss ratio, E loss is the power transmission loss volume, and E f is the road lighting terminal consumption volume;

[0058] S204: Calculate the carbon emissions corresponding to the regional power grid power generation according to the total power generation and the corresponding total carbon emissions of the power grid. Obtain the electric energy exchange information between regional power grids through the regional electric power industry statistics information. Calculate the carbon emission coefficient of the carbon emission calculation area through the carbon emissions corresponding to the regional power grid power generation, the electric energy exchange information and the line loss ratio. The calculation formula is:

[0059]

[0060] where, E e is the carbon emission coefficient of the carbon emission calculation area, C e is the total regional power generation carbon emissions, E i is the regional power generation, j is the regional power grid count, n is the total number of regional power grids with electric energy exchange, E ij.out is the power output from the regional power grid i of the carbon emission calculation area to the regional power grid j, E ij.in is the power input from the regional power grid j to the regional power grid i of the carbon emission calculation area, and λ e is the line loss ratio.

[0061] In this embodiment, the terminal energy consumption is determined according to the "Physical Volume of Terminal Energy Consumption by Industry" and the "Energy Balance Sheet" in the "China Energy Statistical Yearbook". The energy processing and conversion input for thermal power generation and heating is determined according to the "Energy Balance Sheet". For the operation process, the carbon emissions generated by energy consumption are calculated by the process analysis method according to the energy consumption index.

[0062] Specifically, the operation process of the carbon emission analysis model is:

[0063] Set the road lighting device as an edge node, and calculate the carbon emission flow of the edge node through the branch carbon flow density of the regional power grid node;

[0064] Construct an edge node carbon emission constraint based on the carbon emission flow of the edge node and the output power limit of the road lighting device, and construct a regional carbon emission constraint based on the carbon emission limit of the road lighting carbon emission calculation area and the basic lighting demand of the lighting management area;

[0065] Construct an optimization objective function to minimize the carbon emission cost, dynamically assign values to the power and operating time of the edge node to obtain an optimization objective set, extract the linear combination of the power and operating time in the optimization objective set where the carbon emission flow of the edge node is less than the edge node carbon emission constraint and the regional carbon emission constraint, calculate the carbon emission cost of the linear combination through the optimization objective function, and use the power and operating time of the edge node corresponding to the minimum value in the carbon emission cost as the emission reduction optimization result.

[0066] In this embodiment, based on the theory of the electric power carbon emission flow recursion algorithm, the carbon intensity of a node in the power system is numerically equal to the weighted average of the carbon flow densities of all the branches flowing into the node with respect to the active power flow. Given the power flow and carbon flow density (carbon flow) of all the branches flowing into the node, the carbon flow density of the outflow power flow is a fixed value independent of the branch; construct an edge node table and a carbon flow relationship table between the nodes of the regional power grid. The node table contains fields such as node ID, node name, and initial carbon intensity, and the relationship table contains from_key (carbon flow out node ID), to_key (carbon flow in node ID), and pd (active power transfer value between nodes). Read in the node and relationship tables, and perform iterative calculations of carbon flow transfer based on the graph calculation engine. Adopt a data structure of non-indexed neighbors, and there is no need to perform index queries for accessing any point data. Store the detailed topological structure and operating data of the power system through the graph database, and use graph algorithms to trace the power flow and the corresponding carbon flow, so as to quickly analyze the carbon emission situation in different time periods and operating states. It can better simulate the mutual relationship between the components in the lighting system and help improve the accuracy of carbon flow calculation.

[0067] The optimization objective function takes the corresponding power and operating duration of the edge node as control variables, and the expression is: f(W, t) = E e (E(W, t)), where f(W, t) is the carbon emission cost calculated by the optimization objective function, E(W, t) is the energy consumption corresponding to the power and operating duration of the lighting device, and E e is the corresponding regional carbon emission coefficient; the branch carbon flow density is the ratio of the carbon emission coefficient of the edge node to the length of the branch connecting the regional power grid node, and the carbon emission flow is the sum of the branch carbon flow densities of the edge node

[0068] A road lighting carbon emission analysis system based on optoelectronic parameters, comprising: a data measurement module, a data analysis module, an optimization scheduling module, and a task execution module;

[0069] The data measurement module is used to preset a road lighting carbon emission calculation area, and collect the optoelectronic parameters of road lighting devices within the road lighting carbon emission calculation area, where the optoelectronic parameters include the power, luminous flux, and usage duration of the lighting devices;

[0070] The data analysis module is used to set a carbon emission coefficient according to the energy source of the road lighting devices, and calculate the regional carbon emission coefficient of the road lighting devices according to the optoelectronic parameters;

[0071] The optimization scheduling module is used to construct a carbon emission analysis model through the regional carbon emission coefficient and the location information of the road lighting devices, and perform optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting devices in the carbon emission analysis model to obtain a emission reduction optimization result;

[0072] The task execution module is used to adjust the starting power and running time of the corresponding road lighting devices within the road lighting carbon emission calculation area according to the emission reduction optimization result.

[0073] The computer storage medium of the embodiments of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, apparatus, or device.

[0074] A computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0075] The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operations of the present invention can be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely 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 a remote computer, or entirely on a 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 (e.g., by using an Internet service provider to connect through the Internet).

[0076] As described above, it is only the preferred embodiment of the present invention, and there is no limitation in any form to the present invention. Although the present invention has been disclosed as above with the preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or refinements to the equivalent embodiments with equivalent changes within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modifications, equivalent changes, and refinements made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A road lighting carbon emission analysis method based on photoelectric parameters, characterized in that: include: S1: Preset a road lighting carbon emission calculation area, and collect photoelectric parameters of road lighting equipment in the road lighting carbon emission calculation area, wherein the photoelectric parameters include the luminous flux and operating time of a single lamp in the lighting equipment; S2: setting a carbon emission coefficient according to the energy source of the road lighting equipment, and calculating a regional carbon emission coefficient of the road lighting equipment according to the photoelectric parameters; S3: constructing a carbon emission analysis model through the regional carbon emission coefficient and the location information of the road lighting equipment, and performing optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting equipment in the carbon emission analysis model to obtain an emission reduction optimization result; The operation process of the carbon emission analysis model is as follows: The road lighting equipment is set as an edge node, and the carbon emission flow of the edge node is calculated through the branch carbon flow density of the regional power grid node; Constructing edge node carbon emission constraints according to the carbon emission flow of the edge node and the output power limit of the road lighting equipment, and constructing regional carbon emission constraints according to the carbon emission limit of the road lighting carbon emission calculation area and the basic lighting requirements of the lighting management zone; An optimization objective function is constructed to minimize the carbon emission cost, and the power and operating time of the edge node are dynamically assigned to obtain an optimization target set. A linear combination of the power and operating time of the edge node whose carbon emission flow is less than the edge node carbon emission constraint and the regional carbon emission constraint is extracted from the optimization target set. The carbon emission cost of the linear combination is calculated through the optimization objective function, and the power and operating time of the edge node corresponding to the minimum value of the carbon emission cost is taken as the emission reduction optimization result. The optimization objective function uses the corresponding power and operation time of the edge node as control variables, and the expression is: ,in, f ( W , t ) is the carbon emission cost calculated by optimizing the objective function, E ( W , t ) is the energy consumption corresponding to the lighting equipment power and operating time, E e is the corresponding regional carbon emission coefficient; the branch carbon flow density is the ratio of the carbon emission coefficient of the edge node to the length of the branch connecting the regional power grid node, and the carbon emission flow is the sum of the branch carbon flow densities of the edge node; S4: adjusting the starting power and operating time of corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result.

2. The road lighting carbon emission analysis method based on photoelectric parameters according to claim 1 is characterized in that: The photoelectric parameter measurement method is: presetting a measurement position in the road lighting carbon emission calculation area, setting a photometer at the measurement position, obtaining illuminance through the photometer, and calculating the regional luminous flux of the lighting equipment in the road lighting carbon emission area based on the illuminance.

3. The method for analyzing carbon emissions from road lighting based on photoelectric parameters according to claim 2 is characterized in that: The regional luminous flux calculation method is: A light source model is constructed according to the position of the road lighting device and the measurement position, and the road lighting device is used as a Lambertian light source. The illumination distribution of the road lighting device at the measurement position is calculated by the light source model. The calculation formula is: ， in,( x , y , z ) is the coordinate of the measuring surface of the measuring position, ( x 0, y 0, z 0) is the geometric center coordinate of the lighting equipment, E ( x , y , z ) is the illuminance of the lighting equipment on the measuring surface at the measuring position, z To measure the distance between a location and road lighting equipment, m is the luminous characteristic coefficient of the lighting equipment, L LED is the radiant brightness of the lighting equipment, A LED is the luminous area of ​​the lighting equipment; The illuminance measured at the measuring position is counted, and the luminous flux corresponding to the lighting device is calculated by the illuminance measured at the measuring position and the lighting area of ​​the lighting device.

4. The method for analyzing carbon emissions from road lighting based on photoelectric parameters according to claim 1 is characterized in that: The carbon emission coefficient calculation method is: S201: Calculate the energy consumption of the road lighting equipment according to the photoelectric parameters, using the following calculation formula: ， in, E is the energy consumption, N To calculate carbon emissions, the total number of lighting fixtures in the area, i Count lighting equipment, Ƞ i is the light effect of a single lamp in the lighting equipment, L i is the luminous flux of the lighting equipment, t i is the operating time of the lighting device, Num i is the number of lamps; S202: Determine the power supply area according to the regional energy distribution information of the road lighting carbon emission calculation area, and obtain the regional power grid power generation according to the energy consumption and the fuel efficiency and transmission loss of the power supply area; S203: Obtain a regional energy balance table, and calculate the line loss ratio of the road lighting carbon emission calculation area through the power transmission loss statistics in the regional energy balance table and the road lighting terminal consumption. The calculation formula is: ,in, is the line loss ratio, E loss is the power transmission loss, E f The terminal consumption of road lighting; S204: Calculate the carbon emissions corresponding to the power generation of the regional power grid according to the total power generation of the power grid and the corresponding total carbon emissions, obtain the power exchange information between regional power grids through regional power industry statistical information, and calculate the carbon emission coefficient of the road lighting carbon emission calculation area through the carbon emissions corresponding to the power generation of the regional power grid, the power exchange information and the line loss ratio. The calculation formula is: ， in, E e The carbon emission coefficient of the carbon emission calculation area, C e is the total carbon emissions from regional power generation, E i is the regional power generation, j Counting for regional power grids, n is the total amount of regional power grid where power exchange occurs, E ij.out Regional power grid for carbon emission calculation area i To regional power grid j The power output, E ij.in Regional power grid for carbon emission calculation area i By regional power grid j The power input, is the line loss ratio.

5. A road lighting carbon emission analysis system based on photoelectric parameters, used to execute the road lighting carbon emission analysis method based on photoelectric parameters as described in any one of claims 1 to 4, characterized in that: include: Data measurement module, data analysis module, optimization scheduling module, task execution module; The data measurement module is used to preset a road lighting carbon emission calculation area, and collect photoelectric parameters of road lighting equipment in the road lighting carbon emission calculation area, wherein the photoelectric parameters include power, luminous flux, and usage time of the lighting equipment; The data analysis module is used to set the carbon emission coefficient according to the energy source of the road lighting equipment and calculate the regional carbon emission coefficient of the road lighting equipment according to the photoelectric parameters; The optimization scheduling module is used to construct a carbon emission analysis model through the regional carbon emission coefficient and the location information of the road lighting equipment, and to perform optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation area and the topological structure of the lighting equipment in the carbon emission analysis model to obtain an emission reduction optimization result; The operation process of the carbon emission analysis model is as follows: The road lighting equipment is set as an edge node, and the carbon emission flow of the edge node is calculated through the branch carbon flow density of the regional power grid node; Constructing edge node carbon emission constraints according to the carbon emission flow of the edge node and the output power limit of the road lighting equipment, and constructing regional carbon emission constraints according to the carbon emission limit of the road lighting carbon emission calculation area and the basic lighting requirements of the lighting management zone; An optimization objective function is constructed to minimize the carbon emission cost, and the power and operating time of the edge node are dynamically assigned to obtain an optimization target set. A linear combination of the power and operating time of the edge node whose carbon emission flow is less than the edge node carbon emission constraint and the regional carbon emission constraint is extracted from the optimization target set. The carbon emission cost of the linear combination is calculated through the optimization objective function, and the power and operating time of the edge node corresponding to the minimum value of the carbon emission cost is taken as the emission reduction optimization result. The optimization objective function uses the corresponding power and operation time of the edge node as control variables, and the expression is: ,in, f ( W , t ) is the carbon emission cost calculated by optimizing the objective function, E ( W , t ) is the energy consumption corresponding to the lighting equipment power and operating time, E e is the corresponding regional carbon emission coefficient; the branch carbon flow density is the ratio of the carbon emission coefficient of the edge node to the length of the branch connecting the regional power grid node, and the carbon emission flow is the sum of the branch carbon flow densities of the edge node; The task execution module is used to adjust the starting power and operating time of the corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result.

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