CN107299730A - A kind of segmentation shading system and its parameter optimization method for volumed space building - Google Patents

Abstract

The invention discloses a kind of segmentation shading system for volumed space building, including the time electric machine control system for from top to bottom being rotatably arranged on some segmentation sunshading boards of each vertical plane wall of volumed space building, motor driven systems that each section of sunshading board rotate being driven respectively, are connected with the motor driven systems signal, the time electric machine control system is based on LONWORKS LonWorks, for not rotated in the same time by predefined parameter motor, so as to adjust the luminous environment in the anglec of rotation dynamic regulation volumed space building room of each section of sunshading board.The invention also discloses a kind of parameter optimization method of the segmentation shading system for volumed space building.The present invention is based on local regional climate environment, by controlling the anglec of rotation of segmentation sunshading board to optimize the volumed space building Interior Illumination Environment quality of side interface daylighting way, the indoor lighting uniformity is improved, makes it in Various Seasonal, the demand using crowd to comfortable luminous environment can not met in the same time.

Description

A segmented shading system for large-space buildings and its parameter optimization method

technical field

The invention relates to the field of building sunshading, in particular to a parameter optimization method of a segmented sunshading system capable of adjusting the indoor light environment of a large-space building.

Background technique

The lighting method of the large-space building is the best way of lighting the roof and the side interface together, but when the large-space building can only be illuminated through the side interface, the uniformity of indoor lighting often cannot meet people's needs for use and comfort. At present, most large-space buildings rely heavily on active lighting technology, resulting in a large amount of energy loss. If the uniformity of indoor lighting can be improved through building passive technology, it will be of great significance to building energy conservation.

The dynamic changes of the outdoor climate environment are in conflict with the need for a relatively stable and comfortable indoor environment during the use of the building space. By adjusting the rotation angle of the sun visor, the indoor light environment of the building can be dynamically adjusted, so as to achieve the purpose of adapting to the outdoor light environment. However, for large-space buildings, it is still difficult to improve the uniformity of indoor lighting with simple adjustable sunshades.

The present invention hopes to optimize the indoor light environment quality through an adjustable segmented sunshade system, so that the indoor light environment of large-space buildings with side interface lighting can meet the needs of users for a comfortable light environment in different seasons and at different times. Create a comfortable and healthy indoor light environment.

Contents of the invention

The invention provides a segmented shading system and its parameter optimization method for large-space buildings that are easy to operate, rationally utilize natural light, and can be dynamically adjusted, which can optimize the indoor light environment quality of large-space buildings, so that At different times, it can meet the needs of users for a comfortable environment and create a comfortable and healthy indoor sports environment.

The present invention adopts following technical scheme to realize:

A segmented sunshade system for large-space buildings, including several segmented sunshades that are arranged on the facade walls of large-space buildings from top to bottom, a motor drive system that drives each section of sunshade to rotate, and the The time motor control system connected with the signal of the motor drive system, the time motor control system is based on LONWORKS control network technology, and is used to drive the motor to rotate according to predetermined parameters at different times, so as to adjust the rotation angle of each section of sun visor and dynamically adjust the interior of large space buildings light environment.

Further, the number of segments of the segmented sun visor is more than two segments.

Further, the number of segments of the segmented sun visor is three segments.

Further, the intersection of the segmented sunshade and the wall is provided with a rotation axis, wherein the rotation axes located on the east and west facing walls are vertical rotation axes, and the sunshade connected to the vertical rotation axis is 0° when it is perpendicular to the wall. , the angle is positive when it rotates to the south, and the angle is negative when it is rotated to the north. The angle is positive, and the angle is negative when rotated downward.

A method for parameter optimization of the segmented sunshade system as described, comprising the steps of:

S1. Preliminarily obtain the comfort range of illuminance when the people in the area where the large-space building is located have the best comfort;

S2. Use Grasshopper software to establish an abstract model of large-space buildings and sunshades with side interface lighting. After parametric modeling, convert it into a grid, and use Honeybee and Ladybug plug-ins to import the model into Radiance software;

S3. Select the light intensity at the corresponding time point of a specified day in a typical season in the region to simulate the model;

S4. Use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by the Grasshopper, and control the optimization target of the genetic algorithm with the comfort range of illuminance at the best comfort level of the crowd initially obtained, and continuously simulate and analyze the indoor light environment, In this way, the relevant parameters of the optimal segmented sun visor at the corresponding time points of each typical season in the area are obtained; the related parameters of the optimal segmented sun visor obtained during the optimization process are screened to obtain the optimal sun visor related parameters;

S5. Steps S3-S4 are repeated to obtain the optimal sun visor related parameters at the corresponding time points of the designated days in all typical seasons.

Further, in step S2, the abstract model of the training hall and sun visor in the side interface lighting mode includes a first space model, a second space model, and a third space model, and the first space model is that the side interface is fully open Open quadrilateral model without any sunshade components; the second space model is based on the first space model with a common sunshade; the third space model is based on the second space model The visor is replaced with a multi-section visor.

Further, in step S3, the light intensity at the corresponding time point of the specified day in the typical season includes: 9:00 and 12:00 of the day with the strongest light in the overheating season, the weakest day in the supercooling season, and the middle day of the transitional season , 15:00, 17:00 light intensity.

Further, the transition season is spring or autumn.

Further, the step 4 specifically includes:

S41. Set the software simulation time as the corresponding time point of the specified day in the typical season in the area, simulate the second space model, use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by Grasshopper, and use the initially obtained optimal comfort for the crowd The comfort range of illuminance at high temperature controls the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the optimal results of the number, width and rotation angle of the sun visors in the second space model;

S42. Screen the optimal results of the number, width and rotation angle of the sun visors obtained in step S41 to obtain the optimal results of the number, width and rotation angle of the sun visors, further improve the uniformity of indoor lighting, and maximize the illuminance Both the minimum illuminance and the minimum illuminance are within the comfort range of illuminance;

S43. On the basis of the second space model, keep the optimal results of the number and width of the sun visors unchanged, further optimize the rotation angle of the segmented sun visors in the third space model, that is, use the genetic algorithm to control the sun visors controlled by Grasshopper The panel-related parameters are automatically modified, and the comfort range of illuminance at the time of the optimal comfort level of the crowd obtained initially is used to control the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the sun visor of the third space model better results for the rotation angle of each segment;

S44. Screen the optimal results of the rotation angles of each section of the segmented sun visor in all directions obtained in step S43 to obtain the optimal result of the rotation angle of each segment of the segmented sun visor in each direction, further improving the uniformity of indoor lighting, so that Both the maximum illuminance and the minimum illuminance are within the comfort range of illuminance.

Further, the screening step specifically includes:

S11, sorting out the obtained better results and importing them into Excel software;

S12. Eliminate the optimal result when the maximum illuminance and the minimum illuminance are outside the comfort range of illuminance;

S13. Arrange the average illuminance of the remaining better results in descending order, and select several groups of better results satisfying that the average illuminance is close to 600Lx and the uniformity is higher as the optimal result.

Compared with the prior art, the present invention is based on the local climate environment, by setting and controlling the rotation angles of the segmented sun visors in different seasons and at different times to optimize the indoor light environment quality of large-space buildings with side interface lighting, and improve the uniformity of indoor lighting It can meet the needs of users for a comfortable light environment in different seasons and at different times, and is different from conventional building sunshade systems.

Description of drawings

FIG. 1 is a schematic perspective view of Embodiment 1 of the present invention.

Fig. 2 is an east-west schematic diagram of Embodiment 1 of the present invention.

FIG. 3 is a north-south schematic diagram of Embodiment 1 of the present invention.

Fig. 4 is the schematic diagram of three kinds of space models;

Figure 5 shows the optimal results of the parameters of the sun visor in the second space model at 12:00 on August 18 (the day with the strongest light) in summer.

Fig. 6 is a line diagram of illuminance in the second space model room.

Figure 7 shows the optimal results of each parameter of the third space model at 12:00 on August 18 (the day with the strongest light) in summer.

Fig. 8 is a line diagram of illuminance in the third space model room.

Figure 9 shows the light environment results of the optimized third space model at four time points on August 18 (the day with the strongest light) in summer.

Fig. 10 is a line graph of illuminance at four time points of the optimized third space model on August 18 (the day with the strongest light) in summer (Ecomf means comfortable illuminance).

Figure 11 shows the light environment results of the optimized third space model at four time points on January 27th (the weakest light) in winter.

Fig. 12 is a line graph of the illuminance of the optimized third space model at four time points on January 27 (weakest illuminance) in winter (Ecomf means comfortable illuminance).

Figure 13 shows the light environment results of the optimized third space model at four time points on March 31 in the transition season.

Figure 14 is a line chart of the illuminance of the optimized third space model at four time points on March 31 in the transition season (Ecomf means comfortable illuminance).

Figure 15 shows the optimal results of the rotation angles of the segmented sun visors of the optimized third space model at four time points on August 18 (the day with the strongest light) in summer.

Figure 16 shows the optimal results of the rotation angles of the segmented sun visors of the optimized third space model at four time points on January 27 in winter (the day with the weakest light).

Figure 17 shows the optimal results of the rotation angles of the segmented sun visors of the optimized third space model at four time points on March 21 in the transition season.

In the figure: 1-upper sun visor; 2-middle sun visor; 3-lower sun visor.

detailed description

The purpose of the invention of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, and the embodiments cannot be repeated here one by one, but the implementation of the present invention is not therefore limited to the following embodiments.

Embodiment one

As shown in Figures 1 and 3, a segmented sunshade system for large-space buildings includes rotating several segmented sunshades arranged on each facade wall of a large-space building from top to bottom, driving each section of sunshade separately The rotating motor drive system and the time motor control system connected with the signal of the motor drive system. The time motor control system is based on the LONWORKS control network technology and is used to drive the motor to rotate according to predetermined parameters at different times, thereby adjusting each section of the sun visor The rotation angle of the light dynamically adjusts the light environment in the large-space building interior.

In this embodiment, the segmented sun visor sections of each facade wall are three sections, including the upper sun visor 1, the middle sun visor 2, and the lower sun visor 3. The rotation axis, wherein, the rotation axis located on the east and west walls is the vertical rotation axis (see Figure 2), and the sunshade connected to the vertical rotation axis is 0° when it is perpendicular to the wall, and the angle is positive when it rotates to the south, and the angle is positive when it rotates to the north. The angle is negative when rotating; the rotation axis located on the south and north facing walls is the horizontal rotation axis (see Figure 3). The angle is negative when rotating.

Embodiment two

This embodiment needs to be based on the light and climate environment of the local area, so it is impossible to simulate and analyze each area one by one. The present invention takes Guangzhou area as an example, and based on the light and climate environment in Guangzhou area, divides and analyzes the large-space buildings (taking the training hall as an example) The indoor light environment under the control of the segmental shading system is simulated and analyzed to obtain the relevant parameters of the optimal segmented shading system.

A method for parameter optimization of the segmented sunshade system as described, comprising the steps of:

S1. Preliminary acquisition of the comfort range of illuminance when the people in the area where the large-space building is located have the best comfort; all countries in the world attach great importance to the quality of the indoor light environment of buildings, and have stipulated the minimum standard value of illuminance. The specific values are shown in Table 1 :

Table 1: Comparison of minimum standard values of indoor illuminance in various countries Unit: Lx

However, the illuminance of the indoor light environment is not as high as possible. Excessive lighting will in turn reduce the uniformity of lighting, produce uncomfortable glare, and reduce comfort. Especially for sports buildings, low lighting uniformity and uncomfortable glare directly affect The performance of athletes. In this example, through the collation and analysis of the light environment measurement data of the training halls in Guangzhou area for many years and the subjective evaluation value of the light environment comfort range of the sports crowd, the light comfort range of the sports crowd that is suitable for the training halls in this area is preliminarily obtained, that is, it is suitable for the Guangzhou area of China. The comfortable range of illuminance for exercisers in the training hall is 280Lx-980Lx, and the comfort is the highest when the indoor illuminance of the training hall is 600Lx; the comfortable range of daylighting coefficient is 3.6%-11.5%, and the comfort is the highest when the daylighting coefficient is 6%. This comfortable range is the target of indoor light environment adjustment.

S2. Using Grasshopper software to establish an abstract model of a large-space building and a sun visor in a side interface lighting mode, including a first space model, a second space model, and a third space model. The first space model is that the side interface is fully open, A quadrilateral model without any sunshade components; the second space model adds a common sunshade on the basis of the first space model; the third space model adds the common sunshade on the basis of the second space model Replace it with a multi-section sun visor, including an upper sun visor 1, a middle sun visor 2, and a lower sun visor 3 (see Figure 4). After parametric modeling, it is converted into a mesh, and the model is imported into Radiance software using Honeybee and Ladybug plug-ins;

S3. Select the light intensity at the corresponding time point of a specified day in a typical season in the area to simulate the model; Guangzhou, China is located in the hot summer and warm winter zone, which belongs to the subtropical monsoon climate. The annual average sunshine hours are about 1900 hours, and the annual sunshine percentage 40%-50%, with abundant sunshine resources. Through the collation of the climate data of the Guangzhou Meteorological Bureau in China in recent years, it is known that in summer, 12:00 noon on August 18 is the time when the sun shines the most throughout the year, and January 27 is the day when the sun shines the weakest throughout the year. . In this embodiment, the sunshade system model optimized at the strongest sunlight time in summer is used as the basic model, and the indoor light environment can dynamically adapt to the changes of the outdoor light and climate environment in various seasons and periods by optimizing the rotation angle of the sunshade. Since it is impossible to simulate and optimize every moment of the year, a typical day in the three seasons of overheating season (summer), supercooling season (winter) and transitional season (spring) is selected for morning, noon and afternoon simulations. The simulation time is 9:00, 12:00, 15:00, and 17:00 on August 18, January 27, and March 21. In this step, first select 12:00 on August 18 in summer as the simulation time.

S4. Use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by the Grasshopper, and control the optimization target of the genetic algorithm with the comfort range of illuminance at the best comfort level of the crowd initially obtained, and continuously simulate and analyze the indoor light environment, In this way, the relevant parameters of the optimal segmented sun visor at 12:00 on August 18 in the area are obtained; the relevant parameters of the optimal segmented sun visor obtained during the optimization process are screened to obtain the optimal segmented sun visor. include:

S41. Set the software simulation time as the corresponding time point of the specified day in the typical season in the area, simulate the second space model, use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by Grasshopper, and use the initially obtained optimal comfort for the crowd The comfort range of illuminance at high temperature controls the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the optimal results of the number, width and rotation angle of the sun visors in the second space model; the software simulation The time is set at 12:00 on August 18th (the day with the strongest light) in summer, and the first space model is simulated. The simulation results are shown in the table below. It can be seen that the uniformity of indoor lighting is low, and the indoor illuminance is outside the comfortable range of initially acquired light. Indoor thermal radiation levels are high.

Table 2: Simulation analysis results of space model 1 at 12:00 on August 18 in summer

Eave(Lx) Emax(Lx) Emin(Lx) U1 U2 14908 86202 4762 0.32 0.055

In the table: Eave is the average illuminance, Emax is the maximum illuminance, Emin is the minimum illuminance, U1 is the ratio of the minimum illuminance to the average illuminance, and U2 is the ratio of the minimum illuminance to the maximum illuminance.

S42, screen the optimal results of the number n, width w and rotation angle α of the sun visors in each direction obtained in step S41, and obtain the optimal results of the number, width and rotation angle of the sun visors (see Fig. 5 and Fig. 6) , to further improve the uniformity of indoor lighting, so that both the maximum illuminance and the minimum illuminance are within the comfortable range of illuminance;

The analysis results show that the optimal design is relatively successful. But there is still the problem of low uniformity, the indoor maximum illuminance and minimum illuminance are both outside the comfort range of illuminance, such as Eave: 604Lx; Emax: 986Lx; Emin: 274Lx; U1=0.47; U2=0.29.

S43. On the basis of the second space model, keep the optimal results of the number and width of the sun visors unchanged, further optimize the rotation angle of the segmented sun visors in the third space model, that is, use the genetic algorithm to control the sun visors controlled by Grasshopper The panel-related parameters are automatically modified, and the comfort range of illuminance at the time of the optimal comfort level of the crowd obtained initially is used to control the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the sun visor of the third space model Optimal results for rotation angles of each segment.

S44, screen the optimal result of the rotation angle of each section of the segmented sun visor in each direction obtained in step S43, and obtain the optimal result of the rotation angle of each segment of the segmented sun visor in each direction (see Figure 7 and Figure 8), Further improve the uniformity of indoor lighting, so that both the maximum illuminance and the minimum illuminance are within the comfortable range of illuminance, among which, Eave: 516Lx; Emax: 854Lx; Emin: 310Lx; U1 = 0.60; U2 = 0.36. The average value has decreased, but the uniformity U2 has been greatly improved, and the illuminance of all measuring points in the room is within the comfort range. Therefore, the design strategy of segmented sun visors can make the overall indoor light environment more comfortable. Subsequent optimization designs in other seasons and other periods are optimized with the strategy of segmented sun visors.

S5. Cycle steps S3 to S4 to obtain the optimal sun visor related parameters at the corresponding time points of the specified days in all typical seasons, the indoor light environment optimization results under the control of segmented sun visors at each season and time, and the corresponding segmented sun visors The rotation angles are shown in FIGS. 9 to 17 , and the optimal rotation angle of the segmented sun visor can be obtained by this method at any other moment.

Specifically, in this embodiment, the screening steps described in steps S42 and S44 specifically include:

S11, sorting out the obtained better results and importing them into Excel software;

S12. Eliminate the optimal result when the maximum illuminance and the minimum illuminance are outside the comfort range of illuminance;

S13. Arrange the average illuminance of the remaining better results in descending order, and select several groups of better results satisfying that the average illuminance is close to 600Lx and the uniformity is higher as the optimal result.

By this embodiment, the optimal rotation angles of the segmented sun visors in different seasons and at different times can be obtained and summarized; the optimal rotation angles of the segmented sun visors at each moment are stored in the motor controller of LONWORKS, and the motor is in each It runs automatically at all times, adjusts the rotation angle of the segmented sun visor, and finally realizes the dynamic adjustment of the light environment in the large-space building through intelligently controlling the rotation angle of the segmented sun visor.

The above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, rather than limiting the implementation of the present invention. For those of ordinary skill in the art, other changes or changes in different forms can be made on the basis of the above description. It is not necessary and impossible to exhaustively list all the implementation manners here. All modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the claims of the present invention.

Claims (10)

1. A segmented sunshade system for a large-space building, characterized in that: it includes a number of segmented sunshades that are arranged on each facade wall of a large-space building by rotating from top to bottom, and a motor that drives each section of the sunshade to rotate respectively The drive system, the time motor control system connected with the signal of the motor drive system, the time motor control system is based on the LONWORKS control network technology, and is used to drive the motor to rotate according to predetermined parameters at different times, thereby adjusting the rotation angle of each sun visor Dynamically adjust the indoor light environment of large space buildings. 2. The segmented sunshade system for large-space buildings according to claim 1, characterized in that: the number of segments of the segmented sunshade panels is more than two. 3. The segmented sunshade system for large space buildings according to claim 2, characterized in that: the number of segments of the segmented sunshade panels is three. 4. The segmented sunshade system for large-space buildings according to claim 1, characterized in that: the intersection of the segmented sunshade and the wall is provided with a rotation axis, wherein the rotation axis is located in the east and west direction of the wall. The axis is the vertical rotation axis. When the sunshade connected to the vertical rotation axis is perpendicular to the wall, it is 0°. When it rotates to the south, the angle is positive, and when it rotates to the north, the angle is negative; the rotation axis located on the south and north walls is horizontal rotation. Axis, the sun visor connected to the horizontal rotation axis is 0° when it is perpendicular to the wall, the angle is positive when it is rotated upwards, and the angle is negative when it is rotated downwards. 5. A method for parameter optimization of the segmented sunshade system according to any one of claims 1 to 4, characterized in that it comprises the steps of: S1. Preliminarily obtain the comfort range of illuminance when the people in the area where the large-space building is located have the best comfort; S2. Use Grasshopper software to establish an abstract model of large-space buildings and sunshades with side interface lighting. After parametric modeling, convert it into a grid, and use Honeybee and Ladybug plug-ins to import the model into Radiance software; S3. Select the light intensity at the corresponding time point of a specified day in a typical season in the region to simulate the model; S4. Use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by the Grasshopper, and control the optimization target of the genetic algorithm with the comfort range of illuminance at the best comfort level of the crowd initially obtained, and continuously simulate and analyze the indoor light environment, In this way, the relevant parameters of the optimal sun visor at the corresponding time points of each typical season in the area are obtained; the relevant parameters of the optimal sun visor obtained during the optimization process are screened to obtain the optimal sun visor related parameters; S5. Steps S3-S4 are repeated to obtain the optimal sun visor-related parameters at corresponding time points on designated days in all typical seasons. 6. The parameter optimization method according to claim 5, characterized in that, in step S2, the abstract model of the training hall and sun visor in the side interface lighting mode includes a first space model, a second space model, and a third space model. model, the first space model is a quadrilateral model with fully open side surfaces and no sunshade components; the second space model is based on the first space model with a common sunshade; the third The space model is based on the second space model to replace the common sun visor with a multi-section sun visor. 7. The parameter optimization method according to claim 5, characterized in that, in step S3, the light intensity at the corresponding time point of the specified day in the typical season includes: the day with the strongest light in the overheating season, and the day with the weakest light in the supercooling season And the light intensity at 9:00, 12:00, 15:00, and 17:00 on the day when the light is centered in the transition season. 8. The parameter optimization method according to claim 7, wherein the transition season is spring or autumn. 9. parameter optimization method according to claim 6, is characterized in that, described step 4 specifically comprises: S41. Set the software simulation time as the corresponding time point of the specified day in the typical season in the area, simulate the second space model, use the genetic algorithm to automatically modify the relevant parameters of the sun visor controlled by Grasshopper, and use the initially obtained optimal comfort for the crowd The comfort range of illuminance at high temperature controls the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the optimal results of the number, width and rotation angle of the sun visors in the second space model; S42. Screen the optimal results of the number, width and rotation angle of the sun visors obtained in step S41 to obtain the optimal results of the number, width and rotation angle of the sun visors, further improve the uniformity of indoor lighting, and maximize the illuminance Both the minimum illuminance and the minimum illuminance are within the comfort range of illuminance; S43. On the basis of the second space model, keep the optimal results of the number and width of the sun visors unchanged, further optimize the rotation angle of the segmented sun visors in the third space model, that is, use the genetic algorithm to control the sun visors controlled by Grasshopper The panel-related parameters are automatically modified, and the comfort range of illuminance at the time of the optimal comfort level of the crowd obtained initially is used to control the optimization goal of the genetic algorithm, and the indoor light environment is simulated and analyzed continuously, so as to obtain the sun visor of the third space model better results for the rotation angle of each segment; S44. Screen the optimal results of the rotation angles of each section of the segmented sun visor in all directions obtained in step S43 to obtain the optimal result of the rotation angle of each segment of the segmented sun visor in each direction, further improving the uniformity of indoor lighting, so that Both the maximum illuminance and the minimum illuminance are within the comfort range of illuminance. 10. The parameter optimization method according to claim 9, characterized in that, the step of screening specifically comprises: S11, sorting out the obtained better results and importing them into Excel software; S12. Eliminate the optimal result when the maximum illuminance and the minimum illuminance are outside the comfort range of illuminance; S13. Arrange the average illuminance of the remaining better results in descending order, and select several groups of better results satisfying that the average illuminance is close to 600Lx and the uniformity is higher as the optimal result.