System and method for detecting lighting performance of low-energy-consumption green energy-saving building

Abstract

The invention particularly relates to a lighting performance detection system and method for a low-energy-consumption green energy-saving building, and relates to the technical field of building lighting detection. The data analysis module is used for sequentially analyzing the natural lighting data, the glare related data and the heat gain and loss related data to obtain a lighting loss coefficient, a glare coefficient and a temperature regulation load coefficient; a comprehensive processing module; and a lighting performance evaluation module. According to the method, cross-dimension integration of natural lighting data, glare data and heat gaining and losing data is carried out, and a multi-index evaluation system is constructed; according to the lighting loss coefficient, the specific position of nonuniform lighting is locked through a regional light difference value, and the space distribution range of defects is quantified in combination with a span value; the distribution discrete degree of a high-risk area can be quickly positioned through the glare coefficient; the temperature adjusting load coefficient quantifies the dynamic influence of lighting on the building energy consumption by analyzing the coupling relation between the air conditioner load and lighting under the working conditions of winter and summer.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building daylighting detection, and in particular to a daylighting performance detection system and method for low-energy green energy-saving buildings. BACKGROUND

[0002] As a key element of low-energy building design, natural daylighting not only effectively reduces the use time and energy consumption of artificial lighting, but also improves the comfort of the indoor environment and the health level of users, which is of great significance to achieving the dual goals of building energy saving and environmental friendliness.

[0003] In the traditional field of building daylighting evaluation, a single indicator is mainly relied on to evaluate daylighting performance, among which the most commonly used is the natural daylighting coefficient. This indicator measures whether the indoor daylighting meets the standard by calculating the ratio of the natural illuminance of a certain point in the room to the natural illuminance on the horizontal surface without obstruction at the same time.

[0004] However, this single-indicator evaluation method has significant limitations. On the one hand, it does not fully consider the uniformity of indoor daylighting, which may result in over-illumination or insufficient illumination in some areas, leading to visual fatigue for users; on the other hand, focusing solely on the daylighting coefficient may overlook the complex relationship between daylighting and building energy consumption, for example, excessive daylighting may introduce too much solar radiation heat in summer, thereby increasing the air conditioning cooling load, which contradicts the original design of low energy consumption.

[0005] In addition, there are obvious deficiencies in the current technology in terms of the coordinated evaluation of building daylighting and energy consumption. Daylighting is closely related to the heat gain and loss of buildings. Reasonable daylighting design in winter can utilize solar radiation heat to reduce heating energy consumption, while excessive daylighting in summer may increase the cooling load. However, existing evaluation methods rarely consider the dynamic impact of daylighting on building annual energy consumption, and lack systematic analysis of the relationship between daylighting and energy consumption under summer shading and winter unshading conditions, making it difficult for buildings to achieve the true goal of low energy consumption in actual operation.

[0006] Therefore, there is an urgent need for a detection system and method that can integrate multi-dimensional data, achieve fine spatial analysis, and comprehensively consider the relationship between daylighting and energy consumption, to promote the high-quality development of low-energy green energy-saving buildings. SUMMARY

[0007] The purpose of the present application is to solve the above problems, and a daylighting performance detection system and method for low-energy green energy-saving buildings are proposed.

[0008] To achieve the above purpose, the present application adopts the following technical solutions:

[0009] The daylighting performance detection system for low-energy green energy-saving buildings comprises:

[0010] Lighting data collection module: obtain lighting related data of the building; including natural lighting data, glare related data and heat gain / loss related data;

[0011] Data analysis module: sequentially analyze the natural lighting data, glare related data and heat gain / loss related data to obtain lighting loss coefficient, glare coefficient and temperature regulation load coefficient;

[0012] Comprehensive processing module: comprehensively analyze the lighting loss coefficient, glare coefficient and temperature regulation load coefficient to obtain lighting evaluation coefficient;

[0013] Lighting performance evaluation module: grade the lighting performance of the building based on the lighting evaluation coefficient.

[0014] Preferably, the lighting data collection module specifically comprises:

[0015] Natural lighting data: obtain indoor natural illuminance and outdoor unobstructed horizontal illuminance at the same time; and natural light intensity of each area in the indoor;

[0016] Glare related data: obtain the brightness of each position in the indoor through a brightness meter;

[0017] Heat gain / loss related data: obtain related data information obtained by adjusting the indoor temperature through the air conditioner under the condition of shading in summer and the condition of no shading in winter, respectively.

[0018] Preferably, the process of obtaining the lighting loss coefficient comprises:

[0019] Divide the indoor floor into areas with a preset area to obtain each lighting area; sequentially obtain the natural illuminance of each lighting area and the natural illuminance on the outdoor unobstructed horizontal plane at the same time;

[0020] Divide the indoor floor into areas with a preset area to obtain each lighting area; sequentially obtain the natural illuminance of each lighting area and the natural illuminance on the outdoor unobstructed horizontal plane at the same time;

[0021] Pre-set the allowable range of natural illuminance of the indoor lighting area, and sequentially calculate the difference between the natural illuminance of each lighting area and the allowable range of natural illuminance;

[0022] Which contains the following two cases:

[0023] When the natural illuminance of the lighting area is greater than the maximum value of the allowable range of natural illuminance of the lighting area, the natural illuminance of the lighting area is subtracted from the maximum value of the allowable range of natural illuminance of the lighting area to obtain the illuminance deviation value;

[0024] When the natural light illuminance of the lighting area is less than the minimum value of the allowable range of the natural light illuminance of the lighting area, the natural light illuminance of the lighting area is subtracted by the minimum value of the allowable range of the natural light illuminance of the lighting area, and the absolute value is obtained to obtain the illuminance deviation value;

[0025] The illuminance deviation values of the respective lighting areas are sequentially obtained;

[0026] The areas of the respective lighting areas irradiated by natural light and the areas not irradiated by natural light are obtained;

[0027] The area of the lighting area not irradiated by natural light is divided by the area irradiated by natural light to obtain a shadow ratio; the shadow ratio of the lighting area is multiplied by the corresponding illuminance deviation value to obtain a regional light anomaly value;

[0028] The regional light anomaly values of the respective regions are sequentially obtained, and are arranged in descending order according to the numerical values of the regional light anomaly values, and the two largest regional light anomaly values and the corresponding lighting area positions thereof are extracted, and the two lighting areas are marked as marked regions;

[0029] The centers of the two marked regions are obtained, and the two centers are connected by a straight line to obtain a span value;

[0030] The lighting loss coefficient is obtained by weighted calculation of the shadow ratio deviation value and the span value.

[0031] Preferably, the process of obtaining the glare coefficient comprises:

[0032] For the target space, evaluation points are arranged at predetermined positions to simulate the field of view range of a normal sitting or standing posture of a human eye;

[0033] The main gaze direction of the human eye is preset;

[0034] The following data is obtained using a luminance meter:

[0035] The luminance distribution of the glare source;

[0036] The indoor background luminance, which is the average luminance of the background surface in the indoor environment except for the glare source;

[0037] The human eye adaptation luminance;

[0038] The following data is also obtained:

[0039] Solid angle of the glare source: the solid angle formed by the glare source to the human eye, with a unit of steradian, reflecting the size and distance of the light source to the visual angle of the human eye; the calculation formula is

[0040] Wherein is the projection area of the glare source in the direction perpendicular to the line of sight; ​

[0041] D is the distance from the eye to the center of the glare source;

[0042] The acquisition process includes:

[0043] Measuring the actual size of the glare source and calculating its area ;

[0044] If there is a non-perpendicular angle between the light source and the line of sight, the projected area needs to be corrected to ;

[0045] is the angle between the light source plane and the line of sight;

[0046] Measuring the straight-line distance from the eye to the center of the light source based on the typical observer position ;

[0047] Substitute the obtained data into the formula: ;

[0048] Obtain the single-point glare value ;

[0049] Wherein:

[0050] : background brightness;

[0051] : brightness of the glare source;

[0052] : solid angle of the glare source;

[0053] : position index;

[0054] Obtain the single-point glare value of each preset position in turn, and preset the single-point glare threshold value; and calculate the difference between the single-point glare value of each preset position and the single-point glare threshold value to obtain the glare difference value;

[0055] Preset the allowed range of glare difference value, match the glare difference value with the allowed range of glare difference value, and mark the glare difference value that is not within the allowed range of glare difference value as a glare abnormal difference value;

[0056] Arrange the glare abnormal difference values in descending order according to their numerical values, extract the three largest glare abnormal difference values, and connect the three end points to form a triangular model, calculate the area of the triangular model, and record it as the glare coefficient.

[0057] Preferably, the temperature adjustment load coefficient acquisition process includes:

[0058] a temperature sensor is arranged at a preset position of each lighting area to collect the air conditioner outlet temperature of each lighting area;

[0059] an instruction temperature corresponding to the instruction received by the air conditioner is obtained, and an outlet temperature corresponding to the instruction temperature is obtained, and the outlet temperature is marked as an outlet reference temperature;

[0060] After the air conditioner runs for a preset time, the position temperature of each lighting area is obtained, and the temperature of each lighting area is subtracted from the outlet reference temperature to obtain an outlet temperature difference;

[0061] An allowable range of the outlet temperature difference is preset, and the outlet temperature difference of each lighting area is compared with the allowable range of the outlet temperature difference, and the outlet temperature difference not in the allowable range of the outlet temperature difference is recorded as a measured inter-zone temperature difference;

[0062] After the number of measured inter-zone temperature differences is accumulated and divided by the number of lighting areas, an abnormality ratio is obtained;

[0063] The start time and end time corresponding to each measured inter-zone temperature difference are obtained, and are marked on a time axis to obtain an overlapping time period with the largest number of measured inter-zone temperature differences, and the time period is recorded as an abnormality duration;

[0064] The positions of the maximum two regional light inter-zone values and the corresponding temperatures are determined, and the temperatures are marked as comparison temperatures; the two comparison temperatures are subtracted from the instruction temperature of the air conditioner in turn to obtain a temperature deviation value;

[0065] A temperature deviation threshold is preset, and the temperature deviation value is subtracted from the temperature deviation threshold to obtain an instruction temperature difference value;

[0066] After comprehensive analysis of the abnormality ratio, the abnormality duration and the instruction temperature difference value, a single regulation load coefficient is obtained;

[0067] The single regulation load coefficients under the conditions of shading in summer and no shading in winter are obtained in turn, and the mean value is calculated to obtain a temperature regulation load coefficient.

[0068] Preferably, the lighting evaluation coefficient is obtained by comprehensive analysis of the lighting loss coefficient, the glare coefficient and the temperature regulation load coefficient, and the specific process is as follows:

[0069] After normalization processing of the lighting loss coefficient, the glare coefficient and the temperature regulation load coefficient, the value obtained by mean value calculation of the lighting loss coefficient and the glare coefficient is taken as the radius of a circle, and a circular model is constructed;

[0070] The temperature regulation load coefficient is taken as the height of the circular model, a conical model is established, the volume of the conical model is calculated and taken as the lighting evaluation coefficient.

[0071] Preferably, the preset three groups of threshold values have a range of values, and the range of values of each group of threshold values corresponds to a daylighting performance level.

[0072] Preferably, the daylighting performance detection method of the low-energy-consumption green energy-saving building comprises:

[0073] Daylighting data collection: obtaining daylighting-related data of the building; including natural daylighting data, glare-related data and heat gain / loss-related data;

[0074] Data analysis: sequentially analyzing the natural daylighting data, the glare-related data and the heat gain / loss-related data to obtain a daylighting loss coefficient, a glare coefficient and a temperature regulation load coefficient;

[0075] Comprehensive processing: comprehensively analyzing the daylighting loss coefficient, the glare coefficient and the temperature regulation load coefficient to obtain a daylighting evaluation coefficient; and determining the daylighting performance level of the building based on the daylighting evaluation coefficient.

[0076] As described above, due to the adoption of the technical solutions, the present application has the following beneficial effects:

[0077] 1. The present application constructs a multi-index evaluation system through cross-dimension integration of natural daylighting data, glare data and heat gain / loss data; the daylighting loss coefficient locks the specific position of uneven daylighting through "regional light anomaly value", and quantifies the spatial distribution range of defects in combination with "span value"; the glare coefficient can quickly locate the distribution dispersion degree of high-risk areas; and the temperature regulation load coefficient quantifies the dynamic influence of daylighting on building energy consumption by analyzing the coupling relationship between air conditioning load and daylighting under winter and summer working conditions.

[0078] 2. The present application converts abstract physical parameters into quantifiable and comparable geometric indexes through geometric modeling and seasonal dynamic analysis, significantly improving the intuitiveness and design guidance value of the evaluation results; in addition, the system differentiates the analysis of winter and summer working conditions, such as calculating the temperature regulation load under shading and non-shading conditions, respectively, to accurately reveal the energy efficiency performance of daylighting design in different seasons, thereby indirectly evaluating the daylighting performance, making the daylighting performance evaluation of the building more comprehensive. BRIEF DESCRIPTION OF DRAWINGS

[0079] In the following description of exemplary embodiments in conjunction with the drawings, more details, features and advantages of the present application are disclosed, in which:

[0080] Figure 1 The flowchart of the present application. DETAILED DESCRIPTION

[0081] Several embodiments of the application will be described in greater detail herein below, with reference to the drawings, in order to enable a person skilled in the art to implement the application. The application can be embodied in many different forms and should not be limited to the embodiments set forth herein. These embodiments are provided so that this application will be thorough and complete, and fully convey the scope of the application to those skilled in the art. The embodiments should not be construed as limiting the application.

[0082] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and / or the present specification, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0083] Please refer to Figure 1 As shown in the drawings, the application provides a technical solution:

[0084] The lighting performance detection system of the low-energy-consumption green energy-saving building comprises:

[0085] The lighting data collection module acquires lighting-related data of the building, including natural lighting data, glare-related data, and heat gain / loss-related data.

[0086] Specifically, the lighting data collection module comprises:

[0087] The natural lighting data comprises indoor natural illuminance and outdoor unobstructed horizontal illuminance at the same time, as well as natural light intensity of each area in the indoor.

[0088] The glare-related data comprises luminance of each position in the indoor acquired by a luminance meter.

[0089] The heat gain / loss-related data comprises relevant data information obtained by adjusting the indoor temperature through the air conditioner in the case of shading in summer and in the case of no shading in winter, respectively.

[0090] The data analysis module analyzes the natural lighting data, the glare-related data, and the heat gain / loss-related data in sequence to obtain a lighting loss coefficient, a glare coefficient, and a temperature regulation load coefficient.

[0091] The process of obtaining the lighting loss coefficient comprises:

[0092] The indoor floor is regionally divided according to a preset area to obtain each lighting area; the natural illuminance of each lighting area and the natural illuminance on the outdoor unobstructed horizontal plane at the same time are acquired in sequence.

[0093] Subdivide the indoor space into small areas (such as a grid), avoid the overall average method to cover up the local lighting defects, and realize the fine evaluation of the space. The preset area can be determined according to the building function (such as office area, corridor) or the standard grid (such as );

[0094] The natural light intensity of each lighting area is averaged and divided by the natural light intensity on the outdoor unobstructed horizontal plane to obtain the illumination ratio; a threshold value of the illumination ratio is preset, and the illumination ratio is calculated by the difference value to obtain the illumination ratio deviation value;

[0095] The ratio of the indoor natural light intensity to the natural light intensity on the outdoor unobstructed horizontal plane at the same time is the core index for measuring whether the indoor lighting meets the standard;

[0096] The allowable range of the natural light intensity of the indoor lighting area is preset, and the natural light intensity of each lighting area is calculated by the difference value with the allowable range of the natural light intensity;

[0097] It includes the following two cases:

[0098] When the natural light intensity of the lighting area is greater than the maximum value of the allowable range of the natural light intensity of the lighting area, the natural light intensity of the lighting area is subtracted from the maximum value of the allowable range of the natural light intensity of the lighting area to obtain the illumination deviation value;

[0099] When the natural light intensity of the lighting area is less than the minimum value of the allowable range of the natural light intensity of the lighting area, the natural light intensity of the lighting area is subtracted from the minimum value of the allowable range of the natural light intensity of the lighting area, and the absolute value is taken to obtain the illumination deviation value;

[0100] Obtain the illumination deviation value of each lighting area in turn;

[0101] Obtain the area of the natural light irradiation and the area not irradiated by the natural light of each lighting area;

[0102] Divide the area not irradiated by the natural light in the lighting area by the area of the natural light irradiation to obtain the shadow ratio; multiply the shadow ratio of the lighting area by the corresponding illumination deviation value to obtain the area light anomaly value;

[0103] Through the calculation and sorting of the area light anomaly value, the most prominent area of the lighting problem can be quickly locked, avoiding the general judgment of the overall situation by the traditional evaluation method, and realizing the accurate positioning of the weak point of the lighting;

[0104] Obtain the area light anomaly value of each area in turn, and arrange them in descending order according to the numerical value of the area light anomaly value, and extract the largest two area light anomaly values and their corresponding lighting area positions, and mark the two lighting areas as marked areas;

[0105] Obtain the center of the two marked areas, and connect the two centers with a straight line to obtain the span value;

[0106] Calculate the lighting loss coefficient by weighting the bias value and the span value;

[0107] Pre-set the weight factors of the bias value and the span value, multiply the bias value and the span value by their corresponding weight factors respectively, and then sum them up to obtain the lighting loss coefficient;

[0108] The lighting loss coefficient is a comprehensive quantitative index. Its essence is to reveal the potential problems of indoor natural lighting through the coupling analysis of "overall efficiency deviation" and "local unevenness range". The smaller the value, the more efficient and balanced the lighting system is. The larger the value, the more improvement is needed from the aspects of "improving overall illumination" and "optimizing spatial light distribution". This index provides a scientific basis for decision-making for building lighting design, evaluation and reconstruction, especially for scenes with high lighting quality requirements (such as education, medical, office buildings);

[0109] The process of obtaining the glare coefficient includes:

[0110] For target spaces (such as offices, classrooms), set evaluation points at preset positions (such as in front of desks, in front of classrooms), simulate the visual field range of the normal sitting or standing posture of the human eye;

[0111] Pre-set the main gaze direction of the human eye (such as the office facing the window) or the high-risk area (such as the seat near the large-area glass curtain wall);

[0112] Use a luminance meter or high dynamic range imaging (HDRI) technology to obtain the following data:

[0113] Luminance distribution of the glare source (window, skylight);

[0114] Indoor background luminance, the average luminance of the background surface (wall, floor, ceiling, etc.) in the indoor environment excluding the glare source (such as window, lamp);

[0115] Adapted luminance of the human eye;

[0116] The following data also need to be obtained:

[0117] Solid angle of the glare source: the solid angle formed by the glare source to the human eye, with the unit of steradian (sr), reflecting the size and distance of the light source to the visual angle of the human eye; the calculation formula is ;

[0118] Where is the projection area of the glare source in the direction perpendicular to the line of sight;

[0119] is the distance from the human eye to the center of the glare source;

[0120] The acquisition process includes:

[0121] Measuring the actual size of the glare source (such as the width and height of the window), calculating its area ;

[0122] If there is a non-perpendicular angle between the light source and the line of sight, the projected area needs to be corrected to ;

[0123] The angle between the light source plane and the line of sight;

[0124] Measure the straight-line distance from the eye to the center of the light source based on a typical observer position (such as the standard sitting position of an office chair) ;

[0125] Substitute the obtained data into the formula: ;

[0126] Get the single-point glare value ;

[0127] Where:

[0128] : Background brightness (average brightness of non-glare sources such as indoor walls and floors, );

[0129] : Brightness of glare sources (such as windows and lamps) );

[0130] : Solid angle of the glare source;

[0131] : Position index (reflects the position of the glare source in the field of view, located directly in front of the line of sight Minimum, maximum glare impact);

[0132] Obtain the single-point glare value of each preset position in turn, and preset the single-point glare threshold value; and calculate the difference between the single-point glare value of each preset position and the single-point glare threshold value to obtain the glare difference value;

[0133] Preset the allowed range of glare difference value, match the glare difference value with the allowed range of glare difference value, and mark the glare difference value that is not within the allowed range of glare difference value as the glare abnormal difference value;

[0134] The glare difference values are arranged in descending order according to the numerical values, and the three largest glare difference values are extracted, and the positions corresponding to the three glare difference values are taken as end points, and the three end points are connected in a straight line to form a triangular model, the area of the triangular model is calculated, and is recorded as a glare coefficient;

[0135] The glare coefficient is used to intuitively reflect the spatial coverage and dispersion degree of the high-glare risk area, to assist in evaluating the complexity and uniformity of the glare distribution, to provide geometric quantitative basis for accurately positioning the glare hotspot area and formulating targeted optimization strategies (such as adjusting the sunshade layout, optimizing the light source position or space function partitioning), and to improve the comfort and design rationality of the indoor visual environment, and to provide a basis for subsequent daylighting performance evaluation;

[0136] The process of obtaining the temperature regulation load coefficient includes:

[0137] Temperature sensors are arranged at predetermined positions in each daylighting area to collect the air conditioner outlet temperature of each daylighting area;

[0138] The instruction temperature corresponding to the instruction received by the air conditioner is obtained, and the outlet temperature corresponding to the instruction temperature is marked as the outlet reference temperature;

[0139] After the air conditioner runs for a predetermined time, the position temperature of each daylighting area is obtained, and the temperature of each daylighting area is calculated by the difference between the outlet reference temperature, to obtain the outlet temperature difference;

[0140] The allowable range of the outlet temperature difference is preset, the outlet temperature difference of each daylighting area is compared with the allowable range of the outlet temperature difference, and the outlet temperature difference not in the allowable range of the outlet temperature difference is recorded as the measured zone temperature difference;

[0141] The number of measured zone temperature differences is accumulated and divided by the number of daylighting areas to obtain an abnormality ratio;

[0142] The abnormality ratio is a core index for measuring the temperature distribution uniformity of different daylighting areas and the temperature control accuracy of the air conditioning system;

[0143] If the abnormality ratio is high (i.e. the outlet temperature difference of multiple daylighting areas exceeds the allowable range), it indicates that:

[0144] The actual temperature of each area deviates greatly from the reference temperature set by the air conditioner, which may be caused by unreasonable air flow organization (such as air duct resistance difference, improper air outlet layout) or daylighting area characteristics difference (such as orientation, sunshade condition leading to uneven solar radiation);

[0145] The starting time and the ending time corresponding to each measured heterogeneous zone temperature are obtained, and are marked on the time axis, so as to obtain the overlapping time period in which the measured heterogeneous zone temperature appears most frequently, and the time period is recorded as the abnormal duration;

[0146] The positions of the maximum two regional light heterovalues and the corresponding temperatures are determined, and the temperatures are marked as contrast temperatures; the two contrast temperatures are sequentially subtracted from the instruction temperature of the air conditioner to obtain temperature deviation values;

[0147] A preset temperature deviation threshold value is subtracted from the temperature deviation value to obtain an instruction temperature difference value;

[0148] The abnormal proportion, the abnormal duration and the instruction temperature difference value are comprehensively analyzed to obtain a single regulation load coefficient;

[0149] The abnormal proportion, the abnormal duration and the instruction temperature difference value are respectively marked as 、 、 , ,

[0150] The single regulation load coefficient is obtained;

[0151] Wherein 、 are the maximum allowed abnormal duration and the instruction temperature difference reference value respectively;

[0152] 、 、 are the weights corresponding to the abnormal proportion, the abnormal duration and the instruction temperature difference value respectively;

[0153] The single regulation load coefficients in the summer shading condition and the winter non-shading condition are sequentially obtained, and the temperature regulation load coefficient is obtained by mean calculation;

[0154] The comprehensive processing module: the daylight loss coefficient, the glare coefficient and the temperature regulation load coefficient are comprehensively analyzed to obtain a daylight evaluation coefficient;

[0155] The specific process is as follows:

[0156] After the daylight loss coefficient, the glare coefficient and the temperature regulation load coefficient are normalized, the value obtained by mean calculation of the daylight loss coefficient and the glare coefficient is taken as the radius of the circle, and a circular model is constructed;

[0157] The temperature regulation load coefficient is taken as the height of the circular model, a conical model is established, the volume of the conical model is calculated and taken as the daylight evaluation coefficient;

[0158] The daylighting performance evaluation module grades the daylighting performance of the building based on the daylighting evaluation coefficient;

[0159] The preset three groups of threshold value ranges correspond to one daylighting performance grade, the daylighting evaluation coefficient is matched with the three groups of threshold value ranges, and the daylighting performance grade corresponding to the daylighting evaluation coefficient is obtained, wherein the daylighting performance grade includes first grade, second grade and third grade; and the daylighting performance is in a positive proportional relationship with the grade, that is, the better the daylighting performance, the higher the daylighting performance grade;

[0160] The daylighting performance detection method of the low-energy-consumption green energy-saving building comprises:

[0161] Daylighting data collection: obtaining daylighting related data of the building; including natural daylighting data, glare related data and heat gain / loss related data;

[0162] Data analysis: the natural daylighting data, the glare related data and the heat gain / loss related data are analyzed in sequence to obtain the daylighting loss coefficient, the glare coefficient and the temperature regulation load coefficient;

[0163] Comprehensive processing: the daylighting loss coefficient, the glare coefficient and the temperature regulation load coefficient are comprehensively analyzed to obtain the daylighting evaluation coefficient; and the daylighting performance of the building is graded based on the daylighting evaluation coefficient.

[0164] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and the influence weight factor and specific coefficient value in the formula are set by the person skilled in the art according to the actual situation, which can be adjusted and modified later.

[0165] The above description of the embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A daylighting performance testing system for low-energy green buildings, characterized in that, include: Daylighting data collection module: Acquires data related to the building's daylighting; This includes data on natural lighting, glare, and heat gain / loss. Data analysis module: After analyzing natural lighting data, glare-related data and heat gain / loss-related data in sequence, the lighting loss coefficient, glare coefficient and temperature regulation load coefficient are obtained; Integrated processing module: After comprehensively analyzing the daylight loss coefficient, glare coefficient, and temperature regulation load coefficient, a daylight evaluation coefficient is obtained; Lighting performance assessment module: Classifies the lighting performance of buildings based on the lighting assessment coefficient.

2. The daylighting performance testing system for low-energy green buildings according to claim 1, characterized in that, The lighting data collection module specifically includes: Natural lighting data: Acquire indoor natural light intensity and outdoor unobstructed horizontal illuminance at the same time; as well as the natural light intensity in various areas of the room; Glare-related data: Brightness at various locations indoors is obtained using a luminance meter; Heat gain / loss related data: Data on indoor temperature regulation by air conditioning was obtained under conditions of shading in summer and without shading in winter.

3. The daylighting performance testing system for low-energy green buildings according to claim 2, characterized in that, The process of obtaining the daylight loss coefficient includes: The indoor floor is divided into areas with a preset area to obtain various lighting areas; the natural illuminance of each lighting area and the natural illuminance of the unobstructed horizontal surface outdoors at the same time are obtained in sequence. The illuminance ratio is obtained by calculating the average natural illuminance of each lighting area and dividing it by the natural illuminance on the unobstructed horizontal surface outdoors. A threshold for the illuminance ratio is preset, and the difference between the illuminance ratio and the threshold is calculated to obtain the illuminance ratio deviation value. The permissible range of natural illuminance for the preset indoor lighting area is then used to calculate the difference between the natural illuminance of each lighting area and the permissible range. This includes the following two cases: When the natural illuminance of the lighting area is greater than the maximum allowable range of natural illuminance in the lighting area, the maximum allowable range of natural illuminance in the lighting area is subtracted from the natural illuminance of the lighting area to obtain the illuminance deviation value. When the natural illuminance of the lighting area is less than the minimum allowable range of natural illuminance in the lighting area, the minimum allowable range of natural illuminance in the lighting area is subtracted from the natural illuminance of the lighting area, and the absolute value is taken to obtain the illuminance deviation value. The illuminance deviation values ​​for each lighting area were obtained sequentially. Obtain the area illuminated by natural light and the area not illuminated by natural light in each lighting area; The shadow ratio is obtained by dividing the area of ​​the lighting area that is not illuminated by natural light by the area illuminated by natural light; the shadow ratio of the lighting area is multiplied by the corresponding illuminance deviation value to obtain the area light anomaly value. The light anomaly values ​​of each region are obtained sequentially, and then sorted in descending order according to the magnitude of the light anomaly values. The two largest light anomaly values ​​and their corresponding lighting area locations are extracted, and the two lighting areas are marked as marked regions. Find the center of the two marked regions and connect the two centers with a straight line to obtain the span value; The daylight loss coefficient is obtained by weighting the comparison deviation value and the span value.

4. The daylighting performance testing system for low-energy green buildings according to claim 3, characterized in that, The process of obtaining the glare coefficient includes: For the target space, evaluation points are set up at preset locations to simulate the field of vision of the human eye in a normal sitting or standing posture. Preset the primary gaze direction of the human eye; Use a luminance meter to obtain the following data: Brightness distribution of glare sources; Indoor background brightness: the average brightness of the background surface in an indoor environment, excluding glare sources; The human eye adapts to brightness; Substitute the obtained data into the formula: ; Obtain single-point glare value ; in: Background brightness; The brightness of the glare source; : Solid angle of glare source; Location index.

5. The daylighting performance testing system for low-energy green buildings according to claim 4, characterized in that, The following data also needs to be obtained: Glare solid angle: The solid angle formed by a glare source on the human eye, measured in steradian degrees, which reflects the visual angle subtended by the size and distance of the light source. The calculation formula is ; in It is the projected area of ​​the glare source in the direction perpendicular to the line of sight; It refers to the distance from the human eye to the center of the glare source; The acquisition process includes: Measure the actual size of the glare source and calculate its area. ; If there is a non-perpendicular angle between the light source and the line of sight, the projected area needs to be corrected. ; The angle between the plane of the light source and the direction of the line of sight; Using the typical observer position as a reference, measure the straight-line distance from the human eye to the center of the light source. .

6. The daylighting performance testing system for low-energy green buildings according to claim 5, characterized in that, The single-point glare value at each preset location is obtained sequentially, and the single-point glare threshold is preset. The glare value at each preset location is then compared with the glare threshold at each preset location to obtain the glare difference. The preset allowable range of glare difference is used to match the glare difference with the allowable range, and glare difference values ​​that are not within the allowable range are marked as glare anomalies. Arrange the glare anomaly values ​​in descending order of their numerical values, extract the three largest glare anomaly values, and use the positions corresponding to the three glare anomaly values ​​as endpoints. Connect the three endpoints with straight lines to form a triangle model, calculate the area of ​​the triangle model, and record it as the glare coefficient.

7. The daylighting performance testing system for low-energy green buildings according to claim 6, characterized in that, The process of obtaining the temperature regulation load factor includes: Temperature sensors are installed at predetermined locations in each lighting area to collect the air conditioning outlet temperature of each lighting area. Obtain the command temperature corresponding to the command received by the air conditioner, and the air outlet temperature corresponding to the command temperature, and mark the air outlet temperature as the air outlet reference temperature. After the air conditioner has been running for a preset period of time, the location temperature of each lighting area is obtained, and the difference between the temperature of each lighting area and the outlet reference temperature is calculated to obtain the outlet temperature difference. The allowable range of outlet air temperature difference is preset. The outlet air temperature difference of each lighting area is compared with the allowable range of outlet air temperature difference. The outlet air temperature difference that is not within the allowable range of outlet air temperature difference is recorded as the measured temperature of the different area. The percentage of abnormal temperatures is obtained by dividing the total number of measured abnormal temperatures by the number of lighting areas. Obtain the start and end times corresponding to each measured temperature in different regions and mark them on the time axis to obtain the overlapping time period with the most measured temperature in different regions, and record this time period as the duration of the anomaly. Determine the locations of the two regions with the largest light anomalies and their corresponding temperatures, and mark these temperatures as comparison temperatures; calculate the difference between the two comparison temperatures and the air conditioner's command temperature to obtain the temperature deviation value; A preset temperature deviation threshold is used to calculate the difference between the temperature deviation value and the temperature deviation threshold, thus obtaining the commanded temperature difference value. The single-regulation load coefficient is obtained by comprehensively analyzing the abnormality ratio, the duration of the abnormality, and the commanded temperature difference. The single-adjustment load coefficients under summer shading and winter unshading conditions are obtained sequentially, and the average value is calculated to obtain the temperature regulation load coefficient.

8. The daylighting performance testing system for low-energy green buildings according to claim 7, characterized in that, The daylight assessment coefficient is obtained by comprehensively analyzing the daylight loss coefficient, glare coefficient, and temperature regulation load coefficient. The specific process is as follows: After normalizing the daylight loss coefficient, glare coefficient, and temperature regulation load coefficient, the average value of the daylight loss coefficient and glare coefficient is used as the radius of the circle to construct a circular model. Using the temperature regulation load coefficient as the height of the circular model, a conical model is established, and the volume of the conical model is calculated and used as the daylighting evaluation coefficient.

9. The daylighting performance testing system for low-energy green buildings according to claim 8, characterized in that, Three threshold ranges are preset, and each threshold range corresponds to a lighting performance level. The lighting evaluation coefficient is matched with the three threshold ranges to obtain the lighting performance level corresponding to the lighting evaluation coefficient. The lighting performance levels include Level 1, Level 2 and Level 3.

10. A method for testing the daylighting performance of low-energy green energy-saving buildings, comprising a daylighting performance testing system for low-energy green energy-saving buildings according to any one of claims 1-9, characterized in that, include: Daylighting data collection: Obtaining data related to the daylighting of the building; This includes data on natural lighting, glare, and heat gain / loss. Data analysis: After analyzing the natural lighting data, glare-related data, and heat gain / loss-related data in sequence, the lighting loss coefficient, glare coefficient, and temperature regulation load coefficient were obtained. Comprehensive processing: The daylighting evaluation coefficient is obtained by comprehensively analyzing the daylight loss coefficient, glare coefficient and temperature regulation load coefficient; and the daylighting performance level of the building is determined based on the daylighting evaluation coefficient, which includes level one, level two and level three.

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