Lighting effect evaluation system and method for office building interior design

Abstract

The invention relates to the technical field of data management, in particular to a lighting effect evaluation system and method for office building interior design. According to the method, lighting distribution diagrams of scenes corresponding to various design drawings, indoor personnel scene schematic diagrams and workload conditions are obtained, lighting influence analysis and lighting importance analysis are carried out on all time periods, then office building lighting effect analysis is carried out, and lighting influence analysis is combined with dynamic monitoring and personnel feedback accurate evaluation; a data system is constructed by integrating the workload and the success rate of lighting importance analysis, lighting abnormality influence is obtained by multiplying lighting importance by an influence analysis result, lighting can be accurately and individually evaluated, then the influence of lighting on personnel work is comprehensively measured, lighting advantages and disadvantages of a design scheme are visually compared, and the lighting effect is improved. And the lighting quality and the overall working efficiency of the office environment can be improved.

Description

Technical Field

[0001] This application relates to the field of data management technology, and in particular to a system and method for evaluating daylighting effects in office building interior design. Background Technology

[0002] Lighting conditions have a significant impact on the work efficiency, physical and mental health, and job satisfaction of office workers. Sufficient natural lighting can improve alertness and concentration, and enhance work enthusiasm and creativity. However, current research on the relationship between lighting and office worker performance largely remains at a macro level, lacking in-depth analysis of individual behavior and needs in specific scenarios. For example, in actual office environments, different work tasks may have significantly different lighting requirements. Some tasks requiring high-precision visual operations demand uniformity and stability of lighting, while some creative tasks may prioritize the atmosphere and comfort of lighting. Existing research has failed to provide detailed classifications and studies of these specific work scenarios and individual needs, resulting in lighting designs that struggle to meet the personalized needs of different individuals and jobs.

[0003] When selecting office building lighting design schemes, existing evaluation methods mainly focus on the quantitative analysis of lighting indicators, such as daylight factor and sunshine hours. While these indicators can reflect the basic lighting situation to a certain extent, they ignore the actual impact of lighting on people. In addition, existing evaluation methods often lack comprehensive comparison and weighing between different design schemes, making it difficult to intuitively demonstrate the advantages and disadvantages of each scheme in terms of lighting effect. At the same time, due to the lack of systematic analysis of abnormal lighting conditions and their impact, in practical applications, some design schemes that seem to have good lighting indicators may be selected, but in actual use, they may have lighting problems that affect people's work.

[0004] In view of this, this application proposes a system and method for evaluating the lighting effect in office building interior design. Summary of the Invention

[0005] In order to overcome the defects and shortcomings mentioned in the background art, this application provides a system and method for evaluating the lighting effect in office building interior design.

[0006] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application provides a method for evaluating the lighting effects in office building interior design, comprising the following steps: Step 1: Obtain the lighting distribution map of the selected design drawings in the corresponding scene, and at the same time obtain the scene diagram of the staff in the indoor location and the average workload of each time period. Step 2: Analyze the impact of lighting conditions and changes in lighting conditions on office staff in various design drawings at different times. Step 3: Analyze the importance of lighting in each time period based on the basic lighting needs of office workers in the scene and the average workload in each time period; Step 4: Analyze the daylighting effect of the office building based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period; Step 5: Select design drawings based on the analysis results of the office building's lighting effect.

[0007] In one implementation of this application, the lighting distribution map of the corresponding scene is obtained by using the lighting intensity distribution map of each location and time period in the scene corresponding to the drawing under historical lighting scenes. The average lighting intensity of each location and time period under the natural lighting conditions of the corresponding office can be simulated by lighting simulation software. The indoor location staff scene diagram includes the staff's light sensitivity and myopia degree for each location. The staff's light sensitivity is the range of suitable lighting intensity filled in or counted by the staff. The staff's myopia degree represents the staff's ability to distinguish work tasks clearly. The higher the staff's myopia degree, the greater the task deviation caused by abnormal lighting. The staff's myopia degree here needs to take into account the staff's overall myopia degree after wearing glasses.

[0008] In one implementation of this application, step 2, the analysis of the impact on daylighting, includes the following specific steps: S21. Obtain the lighting conditions for each time period and the light sensitivity of office staff during the corresponding time period. Through dynamic monitoring of lighting data and personnel sensitivity surveys, achieve accurate personalized lighting assessment. S22. By comparing the average light intensity at the location of the corresponding office staff during the corresponding time period with the standard deviation of the statistically analyzed range of suitable light intensity for the staff, the abnormal light intensity of the corresponding office staff during the corresponding time period is obtained. This step analyzes the degree of staff's adaptation to light intensity through the light intensity deviation. The standard deviation is calculated as the deviation between the corresponding value and the midpoint of the corresponding range divided by the difference between the maximum and minimum values ​​of the corresponding range. S23. Obtain the average value of the light intensity deviation between adjacent time points for the corresponding office staff location, and set it as an abnormal light intensity change. By calculating the fluctuation range of light intensity between adjacent time points, assess the impact of light stability on staff. S24. Obtain the myopia degree of the corresponding office staff, and set the standard deviation between the myopia degree and the corresponding safe range as the myopia degree deviation. Obtain the light intensity anomaly impact coefficient by weighted summation of light intensity anomalies and light intensity change anomalies. Obtain the daylight impact analysis result of the corresponding location and the corresponding time period by weighted summation of the light intensity anomaly impact coefficient and the myopia degree deviation. This step generates a comprehensive daylight impact score by weighted fusion of light intensity anomaly data and staff myopia degree.

[0009] In one implementation of this application, the light-gathering importance analysis in step 3 includes the following specific contents: S31. Obtain the average workload of the corresponding office staff in each time period, and at the same time obtain the average task completion success rate of the corresponding time period. This step can build a complete work efficiency data system by comprehensively collecting the average workload and average task completion success rate of office staff in different time periods. S32. The workload influence coefficient is obtained by comparing the average workload of the corresponding office staff in the corresponding time period with the standard workload. Calculating the workload influence coefficient can quantitatively compare the actual workload of the office staff with the standard workload, and intuitively reflect the degree to which the actual workload deviates from the standard. S33. The success rate impact coefficient is obtained by comparing the average task completion success rate of the corresponding office staff in the corresponding time period with the standard success rate. The calculation of the success rate impact coefficient can clearly show the gap between the work quality of office staff and the standard requirements in different time periods. It can help managers focus on the changes in work quality. S34. The workload impact coefficient and success rate impact coefficient of the corresponding office staff in the corresponding time period are weighted and summed to obtain the lighting importance analysis result of the corresponding office location in the corresponding time period. By combining the workload impact coefficient and success rate impact coefficient through weighted summation, the factors of both workload and work quality can be comprehensively considered to obtain a more comprehensive and accurate lighting importance analysis result.

[0010] In one implementation of this application, the analysis of the office building's daylighting effect in step 4 includes the following specific contents: S41. Obtain the results of the lighting impact analysis and the lighting importance analysis for each time period for the corresponding office staff. Multiply the lighting importance analysis result and the lighting impact analysis result for the corresponding time period for the corresponding office staff by multiplying them to obtain the lighting abnormality impact for the corresponding time period for the corresponding office staff's location. Multiplying the lighting importance analysis result and the lighting impact analysis result here is to weight the lighting impact analysis results for different time periods based on the lighting importance. That is, the greater the lighting importance for the corresponding time period, the more important it is to ensure the lighting effect for the corresponding time period. In other words, the greater the lighting abnormality impact for the corresponding time period, the greater the impact. This step achieves scientific weighting of the lighting impact by multiplying the lighting importance analysis result and the lighting impact analysis result. The lighting importance reflects the criticality of lighting for the work of office staff at different time periods, while the lighting impact analysis result reflects the actual effect of lighting. The lighting abnormality impact obtained after multiplying the two can more accurately measure the comprehensive impact of lighting abnormality on the work of office staff within a specific time period. S42. Obtain the abnormal lighting impact of the corresponding office staff for all time periods, sum them up to obtain the abnormal lighting impact of the corresponding office staff, sum the abnormal lighting impact of all staff in the office to obtain the abnormal lighting impact of the corresponding design drawing scene, sum the abnormal lighting impact of a single office staff member for all time periods to comprehensively assess the overall impact of abnormal lighting on the staff member's work. S43. Sort the effects of abnormal lighting in all design drawing scenarios in ascending order to obtain a ranking table of abnormal lighting effects. This ranking table can intuitively show the advantages and disadvantages of different design schemes in terms of lighting. In one implementation of this application, step 5, which involves selecting design drawings based on the analysis results of the office building's daylighting effect, includes the following specific details: The design drawings for the office building should be selected based on the scenario where abnormal lighting has the least impact.

[0011] Secondly, this application also provides a lighting effect evaluation system for office building interior design, including: The data acquisition module acquires the lighting distribution map of the selected design drawings in the corresponding scene, and at the same time acquires the scene diagram of the staff in the indoor location and the average workload of each time period. The daylighting impact analysis module analyzes the impact of daylighting conditions and changes in daylighting on office workers in various design drawings at different times by examining the daylighting conditions of each office location and the effects of daylighting changes on office workers. The lighting importance analysis module analyzes the importance of lighting in different time periods based on the basic lighting needs of office workers in the scenario and the average workload in different time periods. The daylighting effect analysis module analyzes the daylighting effect of office buildings based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period. The design drawing selection module allows users to choose design drawings based on the analysis results of the office building's lighting effects.

[0012] Thirdly, this application provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for evaluating the lighting effect of office building interior design by calling the computer program stored in the memory.

[0013] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a method for evaluating the daylighting effect in office building interior design.

[0014] Compared with the prior art, this application has the following advantages and beneficial effects: This solution comprehensively considers factors such as lighting, personnel conditions, and work efficiency. By acquiring lighting distribution maps and indoor personnel scene diagrams and workload information corresponding to various design drawings, it conducts lighting impact analysis and lighting importance analysis for different time periods, and then carries out lighting effect analysis of office buildings. The lighting impact analysis combines dynamic monitoring and personnel feedback for precise assessment, while the lighting importance analysis integrates workload and success rate to construct a data system. By multiplying the lighting importance and impact analysis results, the solution obtains a precise and personalized assessment of the impact of abnormal lighting, thereby comprehensively measuring the impact of lighting on personnel work and intuitively comparing the advantages and disadvantages of different lighting schemes. This helps to improve the lighting quality of the office environment and overall work efficiency. Attached Figure Description

[0015] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall process of Embodiment 1 of the method of this application; Figure 2 This is a flowchart illustrating step 2 of embodiment 1 of the method of this application; Figure 3 This is a flowchart illustrating step 3 of embodiment 1 of the method of this application; Figure 4 This is a schematic diagram of the system structure of Embodiment 2 of this application. Detailed Implementation

[0016] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the specific embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0017] Many specific details are set forth in the following description in order to provide a full understanding of this application. However, this application may also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0018] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of this application. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0019] Example 1.

[0020] like Figures 1 to 3 As shown, this embodiment provides a method for evaluating the lighting effect in office building interior design, specifically including the following steps: Step 1: Obtain the lighting distribution map of the selected design drawings in the corresponding scene, and at the same time obtain the scene diagram of the staff in the indoor location and the average workload of each time period. In this embodiment, the daylight distribution map of the corresponding scene is obtained by using the light intensity distribution map of each location and time period in the scene corresponding to the drawing under historical lighting scenes. The average light intensity of each location and time period under natural lighting conditions in the corresponding office can be simulated by lighting simulation software. The specific steps are as follows: First, a 3D model including the building structure, interior layout and materials needs to be established. The geographical location, orientation and time range (such as the whole year or a specific date) are set. These data can be obtained through historical data. In the software (such as Radiance, ClimateStudio lighting simulation software, etc.), grid sampling points are divided and a sky model (such as CIE standard cloudy day or Perez dynamic model) is selected. After running the simulation, a pseudo-color heat map or contour map is output to intuitively show the light intensity of different areas and time periods. Statistical data quantification; Indoor location scene diagrams include the light sensitivity and myopia of personnel at each location. Light sensitivity refers to the appropriate light intensity range filled in or statistically analyzed by the personnel. This statistical information is obtained based on the work efficiency of different groups under different light intensities, which is a standard experimental method in this field and will not be elaborated upon. Myopia represents the personnel's ability to clearly distinguish work tasks. The higher the myopia, the greater the task deviation caused by abnormal lighting. The myopia level here needs to consider the overall myopia after the personnel wear glasses. It should also be noted that for personnel wearing glasses, excessive light intensity can cause glare, affecting observation; therefore, the effect of eye glare needs to be considered in the light sensitivity analysis. For example, for individuals with low myopia (corrected myopia ≤ 100 degrees) not wearing glasses: the suitable light intensity range is 300-500 lux (lx). Within this range, there is sufficient light for tasks such as document reading and computer operation without being too glaring, ensuring work efficiency. With glasses: Since glasses have a relatively low chance of glare, the suitable light intensity range can be slightly wider, from 250-550 lx; ​​however, when the light intensity approaches 550 lx, it is necessary to adjust the angle of the light source to avoid glare affecting vision. People with moderate myopia (corrected myopia of 100-300 degrees) For those not wearing glasses: A suitable light intensity range is 400-600 lx. Slightly higher light intensity helps them to distinguish work content more clearly and reduces visual fatigue. Wearing glasses: Considering the interference of glare on vision, the appropriate light intensity range should be adjusted to 350-550 lx; ​​special care should be taken to avoid direct light shining on the glasses, and indirect lighting can be used.

[0021] People with high myopia (corrected myopia > 300 degrees) Without glasses: The suitable light intensity range is 500-700 lx. Higher light intensity can help them see details better and improve work accuracy.

[0022] Wearing glasses: The suitable light intensity range is 450-650 lx. Since people with high myopia have higher requirements for visual quality and the reflection of glasses has a greater impact, they should try to choose soft and uniform lighting and avoid direct exposure to strong light sources. Step 2: Analyze the impact of lighting conditions and changes in lighting conditions on office staff in various design drawings at different times. In this embodiment, the analysis of the impact of daylighting in step 2 includes the following specific steps: S21. Obtain the lighting conditions for each time period and the light sensitivity of office workers during the corresponding time period. By dynamically monitoring lighting data and conducting personnel sensitivity surveys, accurate and personalized lighting assessments can be achieved. Continuous monitoring can capture changes in natural light over time, avoiding the bias of a single measurement. By combining subjective feedback from employees with objective health data, highly sensitive groups can be identified, providing a targeted basis for subsequent optimization. S22. By comparing the average light intensity at the location of the corresponding office staff during the corresponding time period with the standard deviation of the statistically analyzed range of suitable light intensity for the staff, the abnormal light intensity of the corresponding office staff during the corresponding time period is obtained. This step analyzes the degree of staff's adaptation to light intensity through the light intensity deviation. The standard deviation is calculated as the deviation between the corresponding value and the midpoint of the corresponding range divided by the difference between the maximum and minimum values ​​of the corresponding range. S23. Obtain the average value of the light intensity deviation between adjacent time points for the corresponding time period of the corresponding office staff position, and set it as an abnormal light intensity change. Here, the abnormal impact of light intensity fluctuation on staff work is analyzed by the fluctuation of light intensity. By calculating the fluctuation amplitude of light intensity between adjacent time points, the impact of light stability on staff is assessed. For example, frequent alternation of light and dark may cause repeated pupil adjustment, which will aggravate visual fatigue. By quantifying the degree of fluctuation, areas that need to increase shading measures or stabilize the light source can be identified, thereby improving visual comfort. This method is especially suitable for open office environments that rely on natural light and can effectively prevent short-term discomfort or long-term health problems caused by dynamic lighting. S24. Obtain the myopia degree of the corresponding office staff, and set the standard deviation between the myopia degree and the corresponding safe range as the myopia degree deviation. Obtain the light intensity abnormality impact coefficient by weighted summation of light intensity abnormality and light intensity change abnormality. Obtain the light impact analysis result of the corresponding location and the corresponding time period by weighted summation of light intensity abnormality impact coefficient and myopia degree deviation. This step generates a comprehensive light impact score by weighted fusion of light intensity abnormality data and staff myopia degree. For example, people with high myopia have a higher risk of retinal damage under low light conditions, and their workstations need to be optimized first. Step 3: Analyze the importance of lighting in each time period based on the basic lighting needs of office workers in the scene and the average workload in each time period; In this embodiment, the analysis of the importance of daylighting in step 3 includes the following specific contents: S31. Obtain the average workload of the corresponding office staff in each time period, and at the same time, obtain the average task completion success rate of the corresponding time period. This step can build a complete work efficiency data system by comprehensively collecting the average workload and average task completion success rate of office staff in different time periods. Obtaining the average workload helps to understand the workload distribution of office staff in different time periods, identify the periods with high or low workload, and provide a basis for reasonable work arrangement and optimization of resource allocation. Obtaining the average task completion success rate can reflect the work quality and efficiency of office staff in different time periods. The data of these two dimensions complement each other, allowing managers to more accurately grasp the work status of office staff. S32. The workload influence coefficient is obtained by comparing the average workload of the corresponding office staff in the corresponding time period with the standard workload. Calculating the workload influence coefficient can quantitatively compare the actual workload of the office staff with the standard workload, and intuitively reflect the degree to which the actual workload deviates from the standard. S33. The success rate impact coefficient is obtained by comparing the average task completion success rate of the corresponding office staff within the corresponding time period with the standard success rate. The calculation of the success rate impact coefficient can clearly show the gap between the work quality of the office staff and the standard requirements in different time periods. It can help managers focus on the changes in work quality and promptly identify potential problems in the work process. If the workload and success rate of the corresponding office staff are high within the corresponding time period, it means that the corresponding time period is a time period that needs to be focused on. If the workload and success rate of the corresponding office staff are low within the corresponding time period, it means that the corresponding time period is a time period that does not need to be focused on. S34. The weighted summation of the workload impact coefficient and success rate impact coefficient of the corresponding office staff in the corresponding time period yields the result of the lighting importance analysis of the corresponding office location in the corresponding time period. By combining the workload impact coefficient and success rate impact coefficient through weighted summation, the factors of both workload and work quality can be comprehensively considered, resulting in a more comprehensive and accurate result of the lighting importance analysis. Lighting conditions have a significant impact on the work efficiency and work quality of office staff. Different office locations may have different lighting conditions, which may lead to differences in workload and task completion success rate among office staff. This analysis result can help managers to optimize lighting in a targeted manner according to the lighting importance of different office locations, prioritizing the improvement of lighting conditions in office locations that have a greater impact on work efficiency, thereby improving the overall quality of the office environment. Step 4: Analyze the daylighting effect of the office building based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period; In this embodiment, the analysis of the office building's lighting effect in step 4 includes the following specific contents: S41. Obtain the results of the lighting impact analysis and the lighting importance analysis for each time period for the corresponding office staff. Multiply the lighting importance analysis result and the lighting impact analysis result for the corresponding time period for the corresponding office staff by multiplying them to obtain the lighting abnormality impact for the corresponding time period for the corresponding office staff's location. Here, multiplying the lighting importance analysis result and the lighting impact analysis result is to weight the lighting impact analysis results for different time periods based on the lighting importance. That is, the greater the lighting importance for the corresponding time period, the more important it is to ensure the lighting effect at the corresponding time. In other words, the greater the lighting abnormality impact for the corresponding time period, the greater the impact. This step achieves a scientific weighting of the lighting impact by multiplying the lighting importance analysis result and the lighting impact analysis result. The lighting importance reflects the criticality of lighting for the work of office staff at different time periods, while the lighting impact analysis result reflects the actual effect of lighting. The lighting abnormality impact obtained after multiplying the two can more accurately measure the comprehensive impact of lighting abnormality on the work of office staff within a specific time period. This helps to focus on periods of high lighting importance, prioritizing the lighting effect during these times and avoiding a decline in work efficiency and quality due to lighting problems. This calculation method provides a more targeted direction for subsequent lighting optimization, enabling more rational resource allocation and maximizing the benefits of improved lighting at the lowest cost. From the perspective of work efficiency and environmental psychology, the impact of lighting on office workers varies at different times. During periods of high workload and critical tasks, good lighting is crucial for maintaining employee attention, mood, and work efficiency. The lighting importance analysis results are derived from a comprehensive consideration of factors such as workload and task success rate, representing the value of lighting during that time period. The lighting impact analysis results, on the other hand, are obtained through actual monitoring or simulation of the specific effects of lighting on work. Multiplying the two results follows the mathematical weighting principle, more objectively reflecting the actual impact of abnormal lighting on office workers' work and providing a scientific basis for lighting optimization decisions. S42. Obtain the impact of abnormal lighting on the corresponding office staff for all time periods, sum them up to obtain the overall impact of abnormal lighting on the corresponding office staff. Summing the impact of abnormal lighting on all staff in the office yields the overall impact of abnormal lighting on the scene depicted in the design drawings. Summing the impact of abnormal lighting on an individual office staff member for all time periods allows for a comprehensive assessment of the overall impact of abnormal lighting on that person's work. This helps to understand the long-term cumulative effect of lighting problems on employees at the individual level, providing a basis for personalized lighting improvements. Summing the impact of abnormal lighting on all staff in the office to obtain the overall impact of abnormal lighting on the scene depicted in the design drawings allows for a holistic understanding of the severity of lighting problems under the design scheme. This comprehensive evaluation method considers the situation of all staff in the office, avoiding the problem of focusing only on the local while ignoring the overall situation. Through such summation calculations, the lighting effects under different design schemes can be clearly compared, providing a quantitative reference for selecting the optimal design scheme and helping to improve the lighting quality of the entire office environment. In office environment design and evaluation, it is necessary to consider both individual and overall levels. An individual's lighting experience directly affects their work status and efficiency, while the combined lighting conditions of all individuals reflect the quality of the entire office environment. From a statistical perspective, summation is a commonly used method for synthesizing data, which can integrate scattered individual data into a representative overall indicator. By summing the impact of abnormal lighting on all personnel, interference caused by individual differences can be eliminated, and the lighting performance of the design scheme can be more accurately reflected. At the same time, the office environment can be regarded as a whole system, and the system performance can be optimized through comprehensive analysis of various elements. S43. Sort the impact of abnormal lighting in all design drawing scenarios in ascending order to obtain a ranking table of the impact of abnormal lighting. The ranking table can intuitively show the advantages and disadvantages of different design schemes in terms of lighting. The ranking table can help decision-makers quickly identify the design scheme with less impact from abnormal lighting, that is, the scheme with better lighting effect. Step 5: Select design drawings based on the analysis results of the office building's daylighting effect; this includes the following specific details: Select the design drawing scenario with the least impact from abnormal lighting as the corresponding office building design drawing, send the corresponding design drawing from the input candidate drawings to the corresponding management port, and remind the management personnel to select the corresponding design drawing for design.

[0023] In this embodiment, it should be specifically explained that one of the methods for obtaining the setting parameters such as the weighting parameters in this application is to obtain the lighting distribution map of each corresponding historical scenario, and at the same time obtain the indoor location scene diagram of the staff and the average workload of each time period. The historical data is imported into each step of this embodiment for lighting effect analysis, and the judgment result of whether the actual corresponding work efficiency meets the work requirements is obtained. The obtained analysis results and judgment results are imported into MATLAB fitting software to fit the data and obtain the setting parameter values ​​that meet the highest judgment result accuracy. In this embodiment, it should be noted that it has the following advantages: Considering factors such as lighting, personnel conditions, and work efficiency, by acquiring lighting distribution maps and indoor personnel scene diagrams and workload information corresponding to various design drawings, lighting impact analysis and lighting importance analysis are conducted for each time period. This leads to an analysis of the office building's lighting effect. The lighting impact analysis combines dynamic monitoring and personnel feedback for precise assessment, while the lighting importance analysis integrates workload and success rate to construct a data system. By multiplying the lighting importance and impact analysis results, the impact of abnormal lighting can be accurately and personalized to assess lighting, thus comprehensively measuring the impact of lighting on personnel work. A direct comparison of the lighting advantages and disadvantages of different design schemes helps improve the lighting quality of the office environment and overall work efficiency.

[0024] Example 2.

[0025] like Figure 4 As shown, this embodiment provides a lighting effect evaluation system for office building interior design, which is used to implement the lighting effect evaluation method for office building interior design in Embodiment 1. Specifically, it includes: a data acquisition module, which acquires the lighting distribution map of various selected design drawings in the corresponding scene, and at the same time acquires the scene diagram of the staff in the indoor location and the average workload of each time period. The daylighting impact analysis module analyzes the impact of daylighting conditions and changes in daylighting on office workers in various design drawings at different times by examining the daylighting conditions of each office location and the effects of daylighting changes on office workers. The lighting importance analysis module analyzes the importance of lighting in different time periods based on the basic lighting needs of office workers in the scenario and the average workload in different time periods. The daylighting effect analysis module analyzes the daylighting effect of office buildings based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period. The design drawing selection module selects design drawings based on the analysis results of the office building's lighting effect. The specific steps of each module in this embodiment are the same as those in Embodiment 1, and will not be repeated here.

[0026] Example 3.

[0027] An electronic device according to an embodiment of this application includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for evaluating the lighting effect in office building interior design by calling the computer program stored in the memory. It should be noted that all computer programs for evaluating the lighting effect in office building interior design are implemented using the C language.

[0028] Example 4.

[0029] This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored. When the computer program runs on the computer device, it causes the computer device to perform the above-mentioned method for evaluating the lighting effect in office building interior design.

[0030] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions according to the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network and / or wireless network. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives (SSDs).

[0031] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0032] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0033] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only one method, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0034] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0035] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0036] In the description of this specification, the references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0037] The foregoing has shown and described the basic principles, main features, and advantages of this application. Those skilled in the art should understand that this application is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this application. Various changes and modifications can be made to this application without departing from the spirit and scope thereof, and all such changes and modifications fall within the scope of this application as claimed. The scope of protection of this application is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the lighting effect in office building interior design, characterized in that, Includes the following steps: Step 1: Obtain the lighting distribution map of the selected design drawings in the corresponding scene, and at the same time obtain the scene diagram of the staff in the indoor location and the average workload of each time period. Step 2: Analyze the impact of lighting conditions and changes in lighting conditions on office staff in various design drawings at different times. Step 3: Analyze the importance of lighting in each time period based on the basic lighting needs of office workers in the scene and the average workload in each time period; Step 4: Analyze the daylighting effect of the office building based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period; Step 5: Select design drawings based on the analysis results of the office building's lighting effect.

2. The method for evaluating the lighting effect in office building interior design according to claim 1, characterized in that, The lighting distribution map for the corresponding scenario is a distribution map of light intensity at various locations and time periods in the scene corresponding to the drawing, illuminated by historical lighting scenarios. The average light intensity at various locations and time periods under natural lighting conditions in the corresponding office is simulated using lighting simulation software. The specific steps are as follows: First, a 3D model including the building structure, interior layout, and materials needs to be established. The geographical location, orientation, and time range are set. In the software, grid sampling points are divided and the sky model is selected. After running the simulation, a pseudo-color heat map or contour map is output to intuitively display the light intensity in different areas and time periods. The data is then quantified through statistical analysis. The indoor staff scene diagram includes the staff's light sensitivity and myopia at each location. The staff's light sensitivity is the range of suitable light intensity filled in or statistically analyzed by the staff.

3. The method for evaluating the lighting effect in office building interior design according to claim 2, characterized in that, The analysis of the impact of daylighting in step 2 includes the following specific steps: S21. Obtain the lighting conditions for each time period and the light sensitivity of office workers during the corresponding time period; S22. By comparing the average light intensity at the location of the corresponding office staff during the corresponding time period with the standard deviation of the statistically appropriate range of light intensity for the staff, the abnormal light intensity of the corresponding office staff during the corresponding time period is obtained. S23. Obtain the average value of the light intensity deviation between adjacent time points of the corresponding time period for the corresponding office staff location, and set it as an abnormal light intensity change. S24. Obtain the myopia degree of the corresponding office staff, and set the standard deviation between the myopia degree of the staff and the corresponding safe range as the myopia degree deviation. Obtain the light intensity abnormality influence coefficient by weighted summation of light intensity abnormality and light intensity change abnormality.

4. The method for evaluating the lighting effect in office building interior design according to claim 3, characterized in that, The analysis of the importance of daylighting in step 3 includes the following specific contents: S31. Obtain the average workload of the corresponding office staff in each time period, and at the same time obtain the average task completion success rate in the corresponding time period. S32. The workload impact coefficient is obtained by comparing the average workload of the corresponding office staff in the corresponding time period with the standard workload. S33. The success rate influence coefficient is obtained by comparing the average task completion success rate of the corresponding office staff within the corresponding time period with the standard success rate. S34. The workload influence coefficient and success rate influence coefficient of the corresponding office staff in the corresponding time period are weighted and summed to obtain the result of the light importance analysis of the corresponding office location in the corresponding time period.

5. The method for evaluating the lighting effect in office building interior design according to claim 4, characterized in that, The analysis of the office building's lighting effect in step 4 includes the following specific contents: S41. Obtain the results of the daylight impact analysis and the daylight importance analysis for each time period of the corresponding office personnel. Multiply the daylight importance analysis results and the daylight impact analysis results for the corresponding time period of the corresponding office personnel by multiplying them by the daylight impact analysis results to obtain the daylight abnormality impact of the corresponding time period of the corresponding office personnel's location. S42. Obtain the abnormal lighting impact of the corresponding office personnel for all time periods, sum them up to obtain the abnormal lighting impact of the corresponding office personnel, and sum the abnormal lighting impact of all personnel in the office to obtain the abnormal lighting impact of the corresponding design drawing scene. S43. Sort the effects of abnormal lighting in all design drawing scenes in ascending order to obtain a sorting table of abnormal lighting effects.

6. The method for evaluating the lighting effect in office building interior design according to claim 5, characterized in that, Step 5, which involves selecting design drawings based on the analysis results of the office building's daylighting effect, includes the following specific details: The design drawings for the office building should be selected based on the scenario where abnormal lighting has the least impact.

7. A lighting effect evaluation system for office building interior design, used to implement the lighting effect evaluation method for office building interior design as described in any one of claims 1-6, characterized in that, The system includes: The data acquisition module acquires the lighting distribution map of the selected design drawings in the corresponding scene, and at the same time acquires the scene diagram of the staff in the indoor location and the average workload of each time period. The daylighting impact analysis module analyzes the impact of daylighting conditions and changes in daylighting on office workers in various design drawings at different times by examining the daylighting conditions of each office location and the effects of daylighting changes on office workers. The lighting importance analysis module analyzes the importance of lighting in different time periods based on the basic lighting needs of office workers in the scenario and the average workload in different time periods. The daylighting effect analysis module analyzes the daylighting effect of office buildings based on the analysis results of the impact of daylighting on each time period and the analysis results of the importance of daylighting in each time period. The design drawing selection module allows users to choose design drawings based on the analysis results of the office building's lighting effects.

8. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the lighting effect evaluation method for office building interior design as described in any one of claims 1-6 by calling the computer program stored in the memory.

Images