A method and device for evaluating a cultural block night lighting scheme
By quantifying the visual guidance, sense of security, and cultural relic expressiveness indices of nighttime lighting schemes for cultural blocks, and combining light exposure dose and full-cycle cost, a multi-objective optimization algorithm is used to solve the decision-making dilemma of lighting planning in existing technologies and provide a scientific set of optimal solutions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU URBAN PLANNING & DESIGN SURVEY RES INST
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-14
AI Technical Summary
Existing technologies lack a unified method to quantify the comprehensive effectiveness of nighttime lighting schemes for cultural blocks, accurately assess light exposure risks, calculate full-cycle energy consumption costs, and conduct integrated balance analysis, leading to a dilemma in lighting planning decisions.
By acquiring street space data, activity data, and cultural heritage constraint data, we calculate the indices of visual guidance, spatial safety, visual comfort, and cultural relic expressiveness. We then combine optical simulation software to quantify light exposure dose and use multi-objective optimization algorithms to collaboratively optimize lighting schemes.
It enables objective and quantitative evaluation of lighting schemes, outputs the optimal lighting scheme set, provides scientific and quantitative decision support, and balances lighting performance, cultural heritage safety and full life cycle cost.
Smart Images

Figure CN122389286A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of lighting planning technology, and in particular to an evaluation method and apparatus for nighttime lighting schemes in cultural districts. Background Technology
[0002] Current methods for lighting planning and evaluation in historical and cultural districts mainly focus on the following areas: First, traditional methods based on lighting engineering, emphasizing whether physical and optical indicators such as illuminance, uniformity, glare control, and color rendering index meet the standards; second, qualitative evaluation based on landscape aesthetics, using expert scoring to evaluate the visual artistic effect of lighting schemes; and third, evaluation based on energy conservation and environmental protection requirements, primarily examining the power density, energy consumption, and application of green lighting materials. While these existing technologies have played a role in their respective fields, they all have significant shortcomings when addressing the specific technical goal of optimizing the comprehensive performance of nighttime lighting in historical and cultural districts: traditional physical indicator evaluation methods cannot further quantify and evaluate the contribution of numerous compliant schemes to improving the suitability and visual appeal of public spaces for nighttime activities. Qualitative assessment methods for landscape aesthetics are highly subjective, rely on expert experience, and are difficult to apply and reproduce on a large scale. In particular, they are insufficient in assessing the impact on cultural heritage, remaining at the qualitative principle of "not too bright" and failing to quantify physical quantities such as ultraviolet flux (μW / lm) and annual exposure (lx·h) into a quantitative risk index that can be compared and analyzed with technical solutions. Although energy-saving assessment methods can quantify costs, they are usually disconnected from the assessment of the overall effectiveness of lighting scenarios. An extreme energy-saving solution may weaken the guiding and expressive power of the night scene.
[0003] Therefore, existing technologies lack a dedicated assessment method that can uniformly quantify the comprehensive effectiveness of lighting schemes (such as visual guidance, sense of security, expressiveness, etc.), accurately assess their light exposure risks to architectural heritage, calculate their full-cycle energy consumption costs, and conduct integrated balance analysis. This often leads to lighting planning decisions being caught in a dilemma where effectiveness, protection, and cost are mutually exclusive. Summary of the Invention
[0004] This application provides an evaluation method and apparatus for nighttime lighting schemes in cultural blocks, which can perform integrated collaborative optimization and decision-making on the quantified lighting efficiency, cultural heritage impact index, and full-cycle cost of the lighting scheme to be evaluated.
[0005] In a first aspect, embodiments of this application provide a method for evaluating nighttime lighting schemes in cultural districts, including: Acquire street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated; Based on the basic data of street activities and street space data, the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated are calculated; the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index are weighted to obtain the lighting efficiency. The annual cumulative effective light exposure dose of the lighting scheme to be evaluated is calculated based on the street space data; the cultural heritage impact index is calculated based on the annual cumulative effective light exposure dose and cultural heritage constraint data. The full-cycle cost of the lighting schemes to be evaluated is calculated. The lighting efficiency, cultural heritage impact index and full-cycle cost of each lighting scheme to be evaluated are input into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
[0006] Furthermore, the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated, calculated based on the basic data of street activities and street space data, include: Based on the basic data of street activities and the spatial data of the street, the back streets and alleys, main paths, surrounding areas of the main paths, key viewpoints and facades of cultural heritage buildings in the cultural street are obtained. The lighting scheme to be evaluated and the street space data are input into optical simulation software to obtain the grid brightness distribution of the cultural street. The minimum vertical illuminance and uniformity of back streets and alleys, glare rating of key viewpoints, illuminance of main paths, illuminance of surrounding areas, and illuminance of facades of cultural heritage buildings are obtained based on the grid illuminance distribution of cultural blocks. The brightness contrast and brightness gradient of the main path and surrounding areas are used as visual guidance indices. The minimum vertical illuminance and uniformity of back streets and alleys are used as the spatial safety index; Glare ratings at key viewpoints will be used as an index for visual comfort. The cultural relic expressiveness index is derived from the brightness of the facade of the protected building.
[0007] Furthermore, the aforementioned cultural relic expressiveness index, derived from the brightness of the facade of the protected building, includes: The background area of the facade of the protected historical building was determined based on street space data and key viewpoint locations; The brightness of the background area is obtained based on the grid brightness distribution of the cultural district; The difference in brightness between the facade and background area of a protected cultural relic building is used as an index of the cultural relic's expressiveness.
[0008] Furthermore, the calculation of the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data includes: The lighting scheme to be evaluated and the street space data are input into the optical simulation software to obtain the spectral irradiance distribution of the lighting scheme to be evaluated on the facade of the protected building. The annual cumulative effective light exposure dose of the lighting scheme to be evaluated is calculated based on the spectral irradiance distribution, the preset spectral sensitivity weight and the spectral bandwidth.
[0009] Furthermore, the above-mentioned calculation of the conservation impact index based on annual cumulative effective light exposure dose and conservation constraint data includes: The annual safe dose threshold is determined based on cultural heritage constraint data; the cultural heritage impact index of the lighting scheme to be evaluated is calculated based on the annual safe dose threshold, the annual cumulative effective light exposure dose, and the preset penalty factor.
[0010] Furthermore, the lighting schemes to be evaluated include the location, model, power, light distribution curve, preset brightness value, color temperature, and color rendering index of the luminaires.
[0011] Furthermore, the total lifecycle cost of the lighting solution to be evaluated includes initial installation cost, energy consumption cost, and maintenance cost.
[0012] Secondly, embodiments of this application provide an evaluation device for nighttime lighting schemes in cultural districts, comprising: The acquisition module is used to acquire street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated. The efficacy index calculation module is used to calculate the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated based on the basic data of street activities and the spatial data of the street. The lighting efficiency calculation module is used to weight the visual guidance index, the spatial safety index, the visual comfort index, and the cultural relic expressiveness index to obtain the lighting efficiency. The cultural heritage impact calculation module is used to calculate the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data; and to calculate the cultural heritage impact index based on the annual cumulative effective light exposure dose and the cultural heritage constraint data. The scheme evaluation and screening module is used to calculate the full-cycle cost of the lighting schemes to be evaluated. The lighting efficiency, cultural heritage impact index and full-cycle cost of each lighting scheme to be evaluated are input into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
[0013] Thirdly, embodiments of this application provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the steps of the evaluation method for the nighttime lighting scheme of a cultural district as described in any of the above embodiments.
[0014] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the evaluation method for the nighttime lighting scheme of a cultural district as described in any of the above embodiments.
[0015] In summary, compared with the prior art, the beneficial effects of the technical solution provided in this application include at least the following: This application provides an evaluation method for nighttime lighting schemes in cultural blocks. First, by mapping basic activity data and spatial data of the block, the lighting scheme to be evaluated is mapped into multiple quantifiable human factors ergonomic indicators (visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index), which are then integrated into lighting effectiveness. This achieves an objective evaluation of the comprehensive effectiveness of the lighting scheme. Next, based on spectral irradiance, the potential damage to cultural relics and buildings caused by illumination is quantified into a calculable cultural relic impact index. The full-cycle cost of the lighting scheme to be evaluated is calculated. Finally, a multi-objective balance algorithm is used to perform integrated collaborative optimization and decision-making on the lighting effectiveness, cultural relic impact index, and full-cycle cost of the lighting scheme to be evaluated. This application unifies the lighting effectiveness, cultural relic safety risks, and full-cycle cost of lighting planning within a quantifiable mathematical model, eliminating subjective assumptions and making the decision-making process based on objective data and algorithms. The output of the optimal lighting scheme set provides planners with scientific and quantitative decision support and reference. Attached Figure Description
[0016] Figure 1 A flowchart illustrating an evaluation method for a nighttime lighting scheme in a cultural district, provided as an exemplary embodiment of this application.
[0017] Figure 2 This is a structural diagram of an evaluation device for a nighttime lighting scheme in a cultural district, provided as an exemplary embodiment of this application. Detailed Implementation
[0018] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0019] Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0020] Please see Figure 1 This application provides an evaluation method for nighttime lighting schemes in cultural districts, including: Step S1: Obtain street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated.
[0021] The lighting schemes to be evaluated include the location, model, power, light distribution curve, preset brightness value, color temperature, color rendering index, and dynamic lighting scene sequence of the luminaires. Street space data is obtained through oblique photography or LiDAR to create a realistic 3D model of the cultural street, used for lighting simulation. Street activity data is defined by collecting historical pedestrian flow distribution heatmaps, passenger flow statistics for different time periods, and activity intensity information at key viewpoints (such as squares, intersections, and building entrances) to define the functional areas of the cultural street. Cultural heritage constraint data includes a list of protected historical buildings in the street and their protection levels, and based on this, the photosensitivity parameters and annual safe dose thresholds for the facade materials of each historical building.
[0022] Step S2: Calculate the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated based on the basic data of street activities and the spatial data of the street; weight the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index to obtain the lighting efficiency.
[0023] Specifically, the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated, calculated based on basic street activity data and street space data, include: Step S21: Based on the basic data of street activities and the spatial data of the street, obtain the back streets and alleys, main paths, surrounding areas of the main paths, key viewpoints and facades of cultural heritage buildings in the cultural street.
[0024] Step S22: Input the lighting scheme to be evaluated and the street space data into the optical simulation software to obtain the grid brightness distribution of the cultural street. Specifically, the main paths, the surrounding areas of the main paths (such as the area within 5 meters on both sides of the main paths), back streets and alleys, key viewpoints, and facades of cultural heritage buildings defined in the basic street activity data are mapped into the street space data. Then, the optical simulation software is used to simulate the illuminance and brightness distribution of the lighting scheme to be evaluated in the street space data, thereby obtaining the grid brightness distribution of the cultural street, that is, the brightness distribution of each functional area defined in the basic street activity data.
[0025] Step S23: Based on the grid brightness distribution of the cultural district, obtain the minimum vertical illuminance and uniformity of back streets and alleys, the glare rating of key viewpoints, the brightness of main paths, the brightness of surrounding areas, and the brightness of the facades of cultural heritage buildings.
[0026] Step S24: Use the brightness contrast and brightness gradient of the main path and surrounding areas as visual guidance indices.
[0027] Step S25: Use the minimum vertical illuminance and uniformity of back streets and alleys as the spatial safety index.
[0028] Step S26: Use the glare rating of key viewpoints as a visual comfort index.
[0029] The glare rating is defined using the Uniform Glare Rating (UGR).
[0030] Step S27: Obtain the cultural relic expressiveness index based on the brightness of the facade of the cultural relic protected building.
[0031] Specifically, the aforementioned cultural relic expressiveness index, derived from the brightness of the facade of a protected building, includes: Step S271: Determine the background area of the facade of the heritage building based on the street space data and key viewpoint locations.
[0032] The background area is the area of non-cultural relics buildings that falls into the visual matrix after constructing a visual matrix in the street space data with key viewpoints as viewpoints and the facades of cultural relics protected buildings as observation targets.
[0033] Step S272: Obtain the brightness of the background area based on the grid brightness distribution of the cultural district.
[0034] Step S273: Use the brightness difference between the facade of the cultural relic building and the background area as the cultural relic expressiveness index.
[0035] After obtaining the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index, these ergonomic indicators are normalized and then aggregated into a single lighting performance index. This application specifically employs a weighted linear aggregation method. The weights for each indicator can be equal or set based on street activity data. For example, for historically densely populated commercial streets, the visual guidance index should be assigned a higher weight; for cultural streets with frequent nighttime activities, the visual comfort index should have a correspondingly higher weight. In this way, street activity data is transformed from an abstract reference into specific mathematical weight parameters that determine lighting performance, enabling the evaluation algorithm of this application to dynamically and accurately reflect the actual usage needs and lighting performance priorities of different street spaces.
[0036] Step S3: Calculate the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data; calculate the cultural heritage impact index based on the annual cumulative effective light exposure dose and cultural heritage constraint data.
[0037] To avoid quantifiable or irreversible damage to cultural relics caused by lighting, the impact on cultural heritage preservation needs to be transformed into a risk index that can be compared with technical indicators. Therefore, the core of this application is to calculate the effective light exposure dose.
[0038] Specifically, the calculation of the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data includes: The lighting scheme to be evaluated and the street space data are input into the optical simulation software to obtain the spectral irradiance distribution of the lighting scheme to be evaluated on the facade of the protected building. The annual cumulative effective light exposure dose of the lighting scheme to be evaluated is calculated based on the spectral irradiance distribution, the preset spectral sensitivity weight and the spectral bandwidth.
[0039] It is understandable that photochemical damage is essentially the absorption of photon energy by cultural relic materials. Therefore, this application employs exposure dose calculation based on spectral irradiance for precise calculation. For the facade of cultural relic buildings, the discrete spectral irradiance distribution generated on the facade is directly calculated using professional optical simulation software based on the luminaire spectrum, light distribution, and placement parameters of the lighting scheme to be evaluated. Then, calculate the annual cumulative effective light exposure dose D using the following formula:
[0040] in, For the facade of a protected historical building at the central wavelength Location, spectral bandwidth The spectral irradiance distribution within the area, in W·m - ²·nm - ¹; The building materials used for the facades of protected historical buildings are based on wavelength. The preset spectral sensitivity weights describe the relative efficiency of damage caused by light of different wavelengths. It represents the bandwidth of the spectral data, measured in nm.
[0041] N is the total number of bands in the effective spectral range, typically covering the ultraviolet and visible light bands that are most damaging to cultural relics, such as from 300 nm to 780 nm. t is the annual cumulative exposure time, expressed in hours (h).
[0042] The unit of annual cumulative effective light exposure dose D is (W·m³). - ²·nm - ¹)*(1)*(nm)*(h)=W·m - ²·h, in its physical sense, is the cumulative radiated energy within the effective wavelength range after being weighted by the sensitivity of the cultural relic materials.
[0043] It is worth noting that, The value is determined based on the specific material type of the facade of the protected building. It can be obtained by referencing authoritative standards and literature (such as directly using the spectral data of various materials provided in widely accepted standards and publicly available literature in the field of cultural heritage protection research) or by experimental determination (for extremely precious or special cultural relics, accelerated aging tests can be conducted in the laboratory to measure the rate of material degradation under different monochromatic light irradiation, and the unique value can be obtained through fitting). ).
[0044] Furthermore, the above-mentioned calculation of the conservation impact index based on annual cumulative effective light exposure dose and conservation constraint data includes: The annual safe dose threshold is determined based on cultural heritage constraint data; the cultural heritage impact index of the lighting scheme to be evaluated is calculated based on the annual safe dose threshold, the annual cumulative effective light exposure dose, and the preset penalty factor.
[0045] This application compares the calculated annual cumulative effective light exposure dose D with the annual safe dose threshold D_safe determined for this type of material according to the cultural relic protection guidelines. D_safe is obtained from similar literature or standards and has the same dimensions as D.
[0046] The formula for calculating the cultural heritage impact index as defined in this application is as follows:
[0047] Where k is a preset penalty factor greater than 1, when D≤D_safe, =0 indicates that the light exposure is within an absolutely safe range, and no penalty is incurred. When D>D_safe, The value is greater than 0, and due to the existence of k, its value increases sharply with the degree of exceeding the limit, thus severely penalizing the scheme in the multi-objective optimization process and guiding the algorithm to automatically eliminate any lighting scheme that poses a risk of damage to cultural relics. This is the objective that needs to be minimized in subsequent multi-objective optimization.
[0048] Step S4: Calculate the total lifecycle cost of the lighting schemes to be evaluated. Input the lighting efficiency, cultural heritage impact index and total lifecycle cost of each lighting scheme to be evaluated into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
[0049] The total lifecycle cost of the lighting solution to be evaluated includes initial installation cost, energy consumption cost, and maintenance cost.
[0050] Initial installation cost (C_initial) includes one-time investment costs for lighting fixtures, control systems, wiring, and installation. Energy cost (C_energy) is the annual electricity bill calculated based on the wattage of all lighting fixtures, the preset annual operating time, and local electricity prices. Maintenance cost (C_maintenance) includes the average annual cost incurred for regular cleaning, light source replacement, and component repair.
[0051] Thus, each lighting scheme to be evaluated is quantified into three technical objectives: maximizing lighting efficiency, minimizing the cultural heritage impact index, and minimizing the total lifecycle cost. These objectives are conflicting and need to be balanced. Therefore, this application employs a multi-objective optimization algorithm (such as NSGA-II or MOEA / D) to solve the problem. The input to this algorithm is all the lighting schemes to be evaluated, along with their corresponding lighting efficiency, cultural heritage impact index, and total lifecycle cost. The output is a Pareto optimal solution set, i.e., the optimal lighting scheme set. Each solution in the optimal lighting scheme set represents a non-dominated lighting scheme, meaning that no other scheme is superior to all three objectives. Planners can then choose the final implementation scheme from this optimal lighting scheme set based on their technical preferences and constraints.
[0052] The above-described embodiment provides an evaluation method for nighttime lighting schemes in cultural blocks. First, by mapping basic activity data and spatial data of the block, the lighting scheme to be evaluated is mapped into multiple quantifiable human factors ergonomic indicators (visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index) and integrated into lighting effectiveness, thus achieving an objective evaluation of the comprehensive effectiveness of the lighting scheme. Then, based on spectral irradiance, the potential damage of light to cultural relics and buildings is quantified into a calculable cultural relic protection impact index, and the full-cycle cost of the lighting scheme to be evaluated is calculated. Finally, a multi-objective balance algorithm is used to perform integrated collaborative optimization and decision-making on the lighting effectiveness, cultural relic protection impact index, and full-cycle cost of the lighting scheme to be evaluated. This application unifies the lighting effectiveness, cultural relic safety risks, and full-cycle costs of lighting planning within a quantifiable mathematical model, eliminating subjective assumptions and making the decision-making process based on objective data and algorithms. The output of the optimal lighting scheme set provides planners with scientific and quantitative decision support and reference.
[0053] Please see Figure 2 Another embodiment of this application provides an evaluation device for nighttime lighting schemes in cultural districts, comprising: The acquisition module is used to acquire street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated.
[0054] The efficacy index calculation module is used to calculate the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated based on the basic data of street activities and the spatial data of the street.
[0055] The lighting performance calculation module is used to weight the visual guidance index, the spatial safety index, the visual comfort index, and the cultural relic expressiveness index to obtain the lighting performance.
[0056] The cultural heritage impact calculation module is used to calculate the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data; and to calculate the cultural heritage impact index based on the annual cumulative effective light exposure dose and the cultural heritage constraint data.
[0057] The scheme evaluation and screening module is used to calculate the full-cycle cost of the lighting schemes to be evaluated. The lighting efficiency, cultural heritage impact index and full-cycle cost of each lighting scheme to be evaluated are input into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
[0058] The specific limitations of the evaluation device for a nighttime lighting scheme in a cultural district provided in this embodiment can be found in the embodiment of the evaluation method for a nighttime lighting scheme in a cultural district described above, and will not be repeated here. Each module in the above-described evaluation device for a nighttime lighting scheme in a cultural district can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.
[0059] This application provides a computer device that may include a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it causes the processor to perform the steps of an evaluation method for a nighttime lighting scheme in a cultural district as described in any of the above embodiments.
[0060] The working process, working details, and technical effects of the computer equipment provided in this embodiment can be found in the embodiment of the evaluation method for a nighttime lighting scheme in a cultural district described above, and will not be repeated here.
[0061] This application provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps of an evaluation method for a nighttime lighting scheme in a cultural district as described in any of the above embodiments. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or memory sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The working process, details, and technical effects of the computer-readable storage medium provided in this embodiment can be found in the embodiments of the evaluation method for a nighttime lighting scheme in a cultural district described above, and will not be repeated here.
[0062] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).
[0063] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0064] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for evaluating nighttime lighting schemes in cultural districts, characterized in that, include: Acquire street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated; Based on the basic data of street activities and the spatial data of the street, the visual guidance index, spatial safety index, visual comfort index and cultural relic expressiveness index of the lighting scheme to be evaluated are calculated. The lighting efficiency is obtained by weighting the visual guidance index, the spatial safety index, the visual comfort index, and the cultural relic expressiveness index. The annual cumulative effective light exposure dose of the lighting scheme to be evaluated is calculated based on the street space data; the cultural heritage impact index is calculated based on the annual cumulative effective light exposure dose and the cultural heritage constraint data. The total lifecycle cost of the lighting schemes to be evaluated is calculated. The lighting efficiency, cultural heritage impact index, and total lifecycle cost of each lighting scheme to be evaluated are input into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
2. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 1, characterized in that, The calculation of the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated based on the basic data of street activities and the spatial data of the street includes: Based on the basic data of street activities and the spatial data of the street, the back streets and alleys, main paths, surrounding areas of the main paths, key viewpoints and facades of cultural heritage buildings of the cultural block are obtained. The lighting scheme to be evaluated and the street space data are input into optical simulation software to obtain the grid brightness distribution of the cultural street. Based on the grid brightness distribution of the cultural district, the minimum vertical illuminance and uniformity of back streets and alleys, the glare rating of key viewpoints, the brightness of main paths, the brightness of surrounding areas, and the brightness of the facades of cultural heritage buildings are obtained. The brightness contrast and brightness gradient of the main path and the surrounding area are used as the visual guidance index; The minimum vertical illuminance and uniformity of the back streets and alleys are used as the spatial safety index. The glare rating of the key viewpoints is used as the visual comfort index. The expressiveness index of the cultural relic is obtained based on the brightness of the facade of the protected building.
3. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 2, characterized in that, The method of obtaining the cultural relic expressiveness index based on the brightness of the facade of the protected building includes: The background area of the facade of the protected cultural relic building is determined based on the street space data and the key viewpoint locations. The brightness of the background area is obtained based on the grid brightness distribution of the cultural block; The brightness difference between the facade of the cultural relic and the background area is used as the cultural relic's expressiveness index.
4. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 2, characterized in that, The calculation of the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data includes: The lighting scheme to be evaluated and the street space data are input into optical simulation software to obtain the spectral irradiance distribution of the lighting scheme to be evaluated on the facade of the cultural heritage building; the annual cumulative effective light exposure dose of the lighting scheme to be evaluated is calculated based on the spectral irradiance distribution, the preset spectral sensitivity weight and the spectral bandwidth.
5. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 4, characterized in that, The calculation of the cultural heritage impact index based on the annual cumulative effective light exposure dose and the cultural heritage constraint data includes: The annual safe dose threshold is determined based on the cultural heritage constraint data; the cultural heritage impact index of the lighting scheme to be evaluated is calculated based on the annual safe dose threshold, the annual cumulative effective light exposure dose, and the preset penalty factor.
6. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 1, characterized in that, The lighting scheme to be evaluated includes the location, model, power, light distribution curve, preset brightness value, color temperature, and color rendering index of the luminaires.
7. The evaluation method for the nighttime lighting scheme of cultural blocks according to claim 1, characterized in that, The total lifecycle cost of the lighting solution to be evaluated includes initial installation cost, energy consumption cost, and maintenance cost.
8. An evaluation device for a nighttime lighting scheme in a cultural district, characterized in that, include: The acquisition module is used to acquire street space data, basic street activity data, cultural heritage constraint data, and lighting schemes to be evaluated. The efficacy index calculation module is used to calculate the visual guidance index, spatial safety index, visual comfort index, and cultural relic expressiveness index of the lighting scheme to be evaluated based on the basic data of street activities and the spatial data of the street. The lighting efficiency calculation module is used to weight the visual guidance index, the spatial safety index, the visual comfort index, and the cultural relic expressiveness index to obtain the lighting efficiency. The cultural heritage impact calculation module is used to calculate the annual cumulative effective light exposure dose of the lighting scheme to be evaluated based on the street space data; and to calculate the cultural heritage impact index based on the annual cumulative effective light exposure dose and the cultural heritage constraint data. The scheme evaluation and screening module is used to calculate the full-cycle cost of the lighting schemes to be evaluated. The lighting efficiency, cultural heritage impact index and full-cycle cost of each lighting scheme to be evaluated are input into a multi-objective optimization algorithm to obtain the optimal lighting scheme set.
9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the evaluation method for the nighttime lighting scheme of the cultural district as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the evaluation method for the nighttime lighting scheme of the cultural district as described in any one of claims 1 to 7.