Road lighting carbon emission analysis method and system based on photoelectric parameters

Abstract

The invention relates to a road lighting carbon emission analysis method and system based on photoelectric parameters, and belongs to the field of carbon emission analysis. The method comprises the steps that a road lighting carbon emission calculation area is preset, and photoelectric parameters of road lighting equipment are collected in the road lighting carbon emission calculation area; setting a carbon emission coefficient according to an energy source of the road lighting equipment, and calculating a regional carbon emission coefficient of the road lighting equipment according to the photoelectric parameters; constructing a carbon emission analysis model through the regional carbon emission coefficient and the position information of the road lighting equipment, and performing optimization scheduling analysis according to the carbon emission limit of the road lighting carbon emission calculation region and the topological structure of the lighting equipment in the carbon emission analysis model to obtain an emission reduction optimization result; and adjusting the starting power and the operation time of the corresponding road lighting equipment in the road lighting carbon emission calculation area according to the emission reduction optimization result. The carbon emission calculation boundary of the road lighting system is determined, and the carbon emission condition of the lighting system is evaluated more comprehensively.

Description

Technical Field

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

[0002] As the world pays more attention to climate change and environmental protection, energy consumption and carbon emissions have become important issues for governments and enterprises. In this context, as an important part of urban energy consumption, the energy consumption and carbon emissions of lighting systems have become the focus of attention, and carbon emission analysis has become an important means to evaluate and manage urban energy consumption and environmental impact. Existing methods only consider the basic parameters of lighting equipment, but do not consider the impact of other factors on energy consumption and carbon emissions, such as ambient lighting conditions, climatic conditions, etc., which affects the comprehensiveness and accuracy of the analysis results; the energy required for road lighting systems mainly comes from electricity, and the carbon emission calculation and carbon emission characteristics of road lighting depend on the energy consumption calculation of the road lighting system. Since the road lighting system is distributed widely and dispersedly, the setting of road lighting will change with the traffic volume of the road at different times, which is characterized by uncertainty, and the accuracy of the collected equipment data is low; traditional road lighting system design often refers to similar engineering cases and empirical data, and it is difficult to ensure that the lighting parameters are optimized under the specifications, which increases unnecessary lighting energy consumption; the actual use time of road lighting equipment and the replacement of terminal equipment are also difficult to accurately estimate, resulting in the deviation of energy consumption calculation results from the actual situation, thereby affecting energy management and carbon asset management personnel's analysis of energy allocation. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides a road lighting carbon emission analysis method and system based on photoelectric parameters;

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

[0005] A road lighting carbon emission analysis method based on photoelectric parameters, comprising:

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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.

[0010] Specifically, 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.

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

[0012] 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:

[0013]

[0014] Among them, (x, y, z) is the coordinate of the measurement surface of the measurement position, (x0, y0, z0) is the coordinate of the geometric center point of the lighting equipment, E(x, y, z) is the illuminance of the lighting equipment on the measurement surface of 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 brightness of the lighting equipment, A LED is the luminous area of ​​the lighting equipment;

[0015] 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.

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

[0017] S201: Calculate the energy consumption of the road lighting equipment according to the photoelectric parameters, using the following calculation formula:

[0018]

[0019] Where E is the energy consumption, N is the total number of lighting equipment in the carbon emission calculation area, i is the number of lighting equipment, η i is the light efficiency of a single lamp in the lighting equipment, L i is the luminous flux of the lighting equipment, ti is the operating time of the lighting device, Num i is the number of lamps;

[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 power grid power generation according to the energy consumption and the fuel efficiency and transmission loss of the power supply area;

[0021] 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: λ e =E loss / (E f +E loss ), where λ e is the line loss ratio, E loss is the power transmission loss, E f The terminal consumption of road lighting;

[0022] 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 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:

[0023]

[0024] Among them, E e is 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 is the regional power grid count, n is the total amount of regional power grids where power exchange occurs, E ij.out is the power output from regional grid i to regional grid j in the carbon emission calculation area, E ij.in The amount of electricity input from regional grid j to regional grid i in the carbon emission calculation area, λ e is the line loss ratio.

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

[0026] 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;

[0027] 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;

[0028] An optimization objective function is constructed to minimize the carbon emission cost, and the power and operating time of the edge nodes are dynamically assigned to obtain an optimization target set. The linear combination of the power and operating time of the edge node in the optimization target set whose carbon emission flow is less than the edge node carbon emission constraint and the regional carbon emission constraint is extracted, and 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.

[0029] The optimization objective function uses the corresponding power and operation time 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 lighting equipment power and operating time, 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 branch length 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 photoelectric parameters, comprising: 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 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;

[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 photoelectric 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 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;

[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:

[0036] By measuring the photoelectric parameters of the road lighting system, and then calculating the carbon emission coefficient of the road lighting system based on these photoelectric parameters, the calculation of the carbon emission coefficient is relatively simple and intuitive, and the carbon emission of the road lighting system can be more accurately evaluated, and adjustments and optimizations can be made according to actual conditions; a carbon emission analysis model is constructed through the regional carbon emission coefficient and the location information of the road lighting equipment, and the energy consumption of each lamp at a specific location is considered, and combined with the regional carbon emission coefficient, the carbon emissions of the road lighting system in the area are estimated, which solves the problem of differences in energy consumption of lighting equipment at different locations. The model estimates carbon emissions more accurately; according to the emission reduction optimization results, the starting power and operating time of the corresponding road lighting equipment in the road lighting carbon emission calculation area are adjusted to optimize energy utilization and reduce carbon emissions, thereby achieving significant emission reduction effects in the area. According to the emission reduction optimization results, the starting power and operating time of the road lighting equipment can be flexibly adjusted, and adjusted according to actual needs to meet lighting needs while minimizing carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0038] Figure 1 The figure is a flow chart of a method for analyzing carbon emissions from road lighting based on photoelectric parameters according to the present invention. DETAILED DESCRIPTION

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

[0040] 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.

[0041] See also Figure 1 , a road lighting carbon emission analysis method and system based on photoelectric parameters:

[0042] 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;

[0043] 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;

[0044] 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;

[0045] 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.

[0046] Specifically, 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.

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

[0048] 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:

[0049]

[0050] Among them, (x, y, z) is the coordinate of the measurement surface of the measurement position, (x0, y0, z0) is the coordinate of the geometric center point of the lighting equipment, E(x, y, z) is the illuminance of the lighting equipment on the measurement surface of 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 brightness of the lighting equipment, A LED is the luminous area of ​​the lighting equipment;

[0051] 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.

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

[0053] S201: Calculate the energy consumption of the road lighting equipment according to the photoelectric parameters, using the following calculation formula:

[0054]

[0055] Where E is the energy consumption, N is the total number of lighting equipment in the carbon emission calculation area, i is the number of lighting equipment, η i is the light efficiency 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;

[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 and the fuel efficiency and transmission loss of the power supply area;

[0057] 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: λ e =E loss / (E f +E loss ), where λ e is the line loss ratio, E loss is the power transmission loss, E f The terminal consumption of road lighting;

[0058] 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 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:

[0059]

[0060] Among them, E e is 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 is the regional power grid count, n is the total amount of regional power grids where power exchange occurs, E ij.out is the power output from regional grid i to regional grid j in the carbon emission calculation area, E ij.in The amount of electricity input from regional grid j to regional grid i in the carbon emission calculation area, λ e is the line loss ratio.

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

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

[0063] 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;

[0064] 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;

[0065] An optimization objective function is constructed to minimize the carbon emission cost, and the power and operating time of the edge nodes are dynamically assigned to obtain an optimization target set. The linear combination of the power and operating time of the edge node in the optimization target set whose carbon emission flow is less than the edge node carbon emission constraint and the regional carbon emission constraint is extracted, and 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.

[0066] In this embodiment, according to the recursive algorithm theory of electric carbon emission flow, the carbon intensity of nodes in the power system is numerically equal to the weighted average of the carbon flow density of all branches flowing into the node with respect to the active power flow. When the power flow and carbon flow density (carbon flow) of all the inflow nodes are given, the carbon flow density of the outflow flow is independent of the branch and is a constant value; construct an edge node table and a carbon flow relationship table between regional power grid nodes, wherein the node table contains the node ID, node name, and initial carbon intensity field, and the relationship table contains from_key (carbon flow outflow node ID), to_key (carbon flow inflow node ID), and pd (active power transfer value between nodes), read in the node and relationship table, and perform iterative calculation of carbon flow transfer based on the graph calculation engine, adopt the data structure of non-indexed neighbors, and access to any point data does not require index query, and the detailed topological structure and operation data of the power system are stored through the graph database, and the power flow and the corresponding carbon flow are tracked by the graph algorithm, so as to quickly analyze the carbon emissions in different time periods and operating states. Better simulation of the relationship between the components in the lighting system helps to improve the accuracy of carbon flow calculation.

[0067] The optimization objective function uses the corresponding power and operation time 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 lighting equipment power and operating time, 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 branch length 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 photoelectric 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 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;

[0070] 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;

[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 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;

[0072] 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.

[0073] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media 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, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

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

[0075] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, 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, as an independent software package, partially on the user's computer and partially on the remote computer, or 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 it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0076] The above description 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 carbon emission analysis method based on photoelectric parameters, It is 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; 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. According to the method for analyzing carbon emissions of road lighting based on photoelectric parameters in claim 1, It 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 road lighting carbon emission analysis method based on photoelectric parameters according to claim 2, It 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: Among them, (x, y, z) are the coordinates of the measurement surface of the measurement position, (x 0 ,y 0 ,z 0 ) is the coordinate of the geometric center point of the lighting equipment, E(x, y, z) is the illuminance of the lighting equipment on the measuring surface at the measuring position, z is the distance between the measuring position and the 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 road lighting carbon emission analysis method based on photoelectric parameters according to claim 1, It 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: Where E is the energy consumption, N is the total number of lighting equipment in the carbon emission calculation area, i is the number of lighting equipment, η i is the light efficiency 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: λ e =E loss / (E f +E loss ), where λ e 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 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: Among them, E e is 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 is the regional power grid count, n is the total amount of regional power grids where power exchange occurs, E ij.out is the power output from regional grid i to regional grid j in the carbon emission calculation area, E ij.in The amount of electricity input from regional grid j to regional grid i in the carbon emission calculation area, λ e is the line loss ratio.

5. The road lighting carbon emission analysis method based on photoelectric parameters according to claim 1, It is characterized in that 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 nodes are dynamically assigned to obtain an optimization target set. The linear combination of the power and operating time of the edge node in the optimization target set whose carbon emission flow is less than the edge node carbon emission constraint and the regional carbon emission constraint is extracted, and 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.

6. The method for analyzing carbon emissions from road lighting based on photoelectric parameters according to claim 5, It is characterized in that The optimization objective function uses the corresponding power and operation time 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 lighting equipment power and operating time, 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 branch length connecting the regional power grid node, and the carbon emission flow is the sum of the branch carbon flow densities of the edge node.

7. 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 6, It is 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 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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