CN107299730B - Segmented sun shading system for large-space building and parameter optimization method thereof - Google Patents
Segmented sun shading system for large-space building and parameter optimization method thereof Download PDFInfo
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Abstract
The invention discloses a segmented sun-shading system for a large-space building, which comprises a plurality of segmented sun-shading boards, a motor driving system and a time motor control system, wherein the segmented sun-shading boards are rotatably arranged on each vertical wall of the large-space building from top to bottom, the motor driving system is used for driving each segment of sun-shading board to rotate respectively, the time motor control system is in signal connection with the motor driving system, and the time motor control system is based on an LONWORKS control network technology and is used for driving a motor to rotate according to preset parameters at different moments so as to adjust the rotating angle of each segment of sun-shading board to dynamically adjust the indoor light environment of the large-space building. The invention also discloses a parameter optimization method of the segmented sun-shading system for the large-space building. Based on the local regional climate environment, the indoor light environment quality of the large-space building in the side interface lighting mode is optimized by controlling the rotating angle of the segmented sun shield, and the indoor lighting uniformity is improved, so that the indoor lighting uniformity can meet the requirements of a user group on comfortable light environment in different seasons and different moments.
Description
Technical Field
The invention relates to the field of building sun shading, in particular to a segmented sun shading system capable of adjusting indoor light environment of a large-space building and a parameter optimization method thereof.
Background
The daylighting mode of large space building is with the mode of roof, the joint daylighting of side interface best, but when large space building can only adopt a day by side interface, indoor daylighting degree of consistency often can not satisfy people and use and comfortable demand. Most of current large-space buildings are mainly dependent on an illumination active technology, a large amount of energy consumption loss is caused, and if indoor lighting uniformity can be improved through a building passive technology, the building energy-saving system has important significance for building energy conservation.
The dynamic change of outdoor climate environment is contradictory to the requirement of a stable and comfortable indoor environment in the use process of building space. The indoor luminous environment of the building can be dynamically adjusted by adjusting the rotating angle of the sun shield, so that the purpose of adapting to the outdoor luminous environment is achieved. However, for large-space buildings, it is still difficult to improve the indoor lighting uniformity of the buildings by using simple adjustable sun-shading boards.
The invention hopes to optimize the indoor light environment quality through an adjustable sectional sun shading system, so that the indoor light environment of the large-space building with the side interface lighting mode can meet the requirement of a user group on a comfortable light environment in different seasons and different moments, and the comfortable and healthy indoor light environment is created.
Disclosure of Invention
The invention provides a segmented sun-shading system which is easy to operate, reasonably utilizes natural light, can be dynamically adjusted and is used for a large-space building and a parameter optimization method thereof, so that the indoor light environment quality of the large-space building can be optimized, the requirements of a user group on a comfortable environment can be met in different seasons and different moments, and a comfortable and healthy indoor sports environment can be created.
The invention is realized by adopting the following technical scheme:
a segmented sun-shading system for a large-space building comprises a plurality of segmented sun-shading boards which are rotatably arranged on each vertical wall of the large-space building from top to bottom, a motor driving system for respectively driving each segment of sun-shading board to rotate, and a time motor control system in signal connection with the motor driving system, wherein the time motor control system is based on an LONWORKS control network technology and is used for driving a motor to rotate according to preset parameters at different moments, so that the rotating angle of each segment of sun-shading board is adjusted to dynamically adjust the indoor luminous environment of the large-space building.
Furthermore, the number of the segments of the segmented sun shield is more than two.
Furthermore, the number of the segments of the segmented sun shield is three.
Furthermore, rotating shafts are arranged at the intersection parts of the segmented sun-shading boards and the wall surface, wherein the rotating shafts positioned on the east and west walls are vertical rotating shafts, the sun-shading board connected with the vertical rotating shafts is 0 degree when being vertical to the wall surface, the angle is positive when the sun-shading board rotates southward, and the angle is negative when the sun-shading board rotates northwards; the rotating shafts positioned on the south and north walls are horizontal rotating shafts, the sun shield connected with the horizontal rotating shafts is 0 degree when being vertical to the wall surface, the angle is positive when the sun shield rotates upwards, and the angle is negative when the sun shield rotates downwards.
A parameter optimization method of the segmented sun-shading system comprises the following steps:
s1, preliminarily obtaining a comfortable illuminance range when the crowd in the area in the large-space building has the best comfort;
s2, establishing a large space building and sun visor abstract model in a side interface lighting mode by adopting Grasshopper software, converting the abstract model into a grid after parametric modeling, and importing the model into Radience software by using a Honeybee plug-in and a Ladybug plug-in;
s3, selecting the illumination intensity of a corresponding time point of a specified day in a typical season of the area to simulate the model;
s4, automatically modifying relevant parameters of the Grasshopper sun visor by using a genetic algorithm, controlling an optimization target of the genetic algorithm by using an initially obtained illumination comfort range when the crowd has the best comfort, and continuously and circularly performing simulation analysis on the indoor light environment so as to obtain relevant parameters of the sun visor in a better section at corresponding time points in each typical season in the area; screening the related parameters of the better segmental sun visors obtained in the optimization process to obtain the related parameters of the optimal sun visors;
and S5, circulating the steps S3-S4 to obtain the optimal sun visor related parameters of the corresponding time points of the appointed days in all typical seasons.
Further, in step S2, the training hall of the side interface lighting manner and the abstract model of the sun visor include a first space model, a second space model and a third space model, where the first space model is a quadrilateral model with a fully open side interface and no any sun-shading member; the second space model is formed by adding a common sunshading board on the basis of the first space model; the third space model is that the common sun visor is replaced by a multi-section sun visor on the basis of the second space model.
Further, in step S3, the illumination intensity of the corresponding time point of the specified day in the typical season includes: illumination intensity of the most intense day in the super-heated season, the weakest day in the super-cooled season, and the intermediate day in the transitional season of 9.
Further, the transition season is spring or autumn.
Further, the step S4 specifically includes:
s41, setting software simulation time as a corresponding time point of a given day in a typical season of a region, simulating a second space model, automatically modifying relevant parameters of the Grasshopper-controlled sun-shading boards by using a genetic algorithm, controlling optimization targets of the genetic algorithm by using a primarily acquired illumination comfort range when the crowd has the best comfort, and continuously and circularly simulating and analyzing an indoor light environment to obtain better results of the number, the width and the rotation angle of each sun-shading board of the second space model;
s42, screening the better results of the number, the width and the rotation angle of the sun-shading boards in each direction obtained in the step S41 to obtain the optimal results of the number, the width and the rotation angle of the sun-shading boards, and further improving the indoor lighting uniformity to ensure that the maximum illuminance and the minimum illuminance are both in a comfortable illuminance range;
s43, on the basis of the second space model, keeping the optimal results of the number and the width of the sun visors unchanged, further optimizing the rotation angle of the segmented sun visor of the third space model, namely automatically modifying relevant parameters of the Grasshopper sun visor by using a genetic algorithm, controlling an optimization target of the genetic algorithm by using the initially obtained illumination comfort range with the best comfort degree of the crowd, and continuously and circularly simulating and analyzing the indoor light environment to obtain the optimal result of the rotation angle of each segment of the sun visor of the third space model;
and S44, screening the better result of the rotation angle of each section of each directional segmented sun shield obtained in the step S43 to obtain the optimal result of the rotation angle of each section of each directional segmented sun shield, and further improving the indoor lighting uniformity to ensure that the maximum illuminance and the minimum illuminance are both in a comfortable illuminance range.
Further, the screening specifically comprises the following steps:
s11, arranging and importing the obtained better result into Excel software;
s12, eliminating a better result when the maximum illuminance and the minimum illuminance are out of the illuminance comfortable range;
s13, performing descending order arrangement on the average illuminance of the remaining better results, and selecting several groups of better results which simultaneously satisfy that the average illuminance is close to 600Lx and have higher uniformity as the optimal results.
Compared with the prior art, the invention optimizes the indoor light environment quality of the large-space building in a side interface lighting mode by setting and controlling the rotation angles of the sectional sun shield in different seasons and different moments based on the local regional climate environment, improves the indoor lighting uniformity, can meet the requirements of a user group on comfortable light environment in different seasons and different moments, and is different from a conventional building sun-shielding system.
Drawings
Fig. 1 is a schematic perspective view of a first embodiment of the present invention.
Fig. 2 is a schematic diagram of the east-west direction of the first embodiment of the present invention.
Fig. 3 is a north-south view of the first embodiment of the present invention.
FIG. 4 is a schematic diagram of three spatial models;
fig. 5 shows the optimal results of the sun visor parameters of the second spatial model at 8 and 18 days (day with the highest illumination) in summer 12.
Fig. 6 is a line graph of illuminance in the second space model room.
Fig. 7 shows the optimal results of the parameters of the third space model in 18 days (day with the highest illumination) 12 in 8 months in summer for the each direction of the segmented sun visor.
Fig. 8 is a line graph of illuminance in the third space model room.
Fig. 9 shows the light environment results of the optimized third spatial model at four time points of 8 months and 18 days in summer (day with the highest illumination).
Fig. 10 is a light illuminance line graph (Ecomf represents comfortable light illuminance) of the optimized third spatial model at four time points of 18 days (day of the highest light illuminance) in summer 8 months.
Fig. 11 shows the light environment results of the optimized third spatial model at four time points of 1 month and 27 days in winter (with the weakest light).
Fig. 12 is a graph showing illuminance line curves (Ecomf represents comfortable illuminance) of the optimized third spatial model at four time points of 27 days (weakest illumination) in 1 month in winter.
FIG. 13 shows the light environment results of the optimized third spatial model at four time points of 3 months and 31 days in the transition season.
Fig. 14 is a light illuminance line graph (Ecomf represents comfortable light illuminance) of the optimized third spatial model at four time points of 3 months and 31 days in the transition season.
Fig. 15 shows the optimized rotation angle optimization results of the segmented sun visor of the third space model at four time points of 8 and 18 days (day with the highest illumination) in summer.
Fig. 16 shows the optimized rotation angle optimization results of the segmented sun visor of the third space model at four time points of 27 days (day with weakest illumination) in winter 1 month.
Fig. 17 shows the optimized rotation angle optimization results of the segmented sun visor of the third space model at four time points of 3 months and 21 days in the transition season.
In the figure: 1-upper segment sun shield; 2-middle section sun shield; and 3-lower segment sun shield.
Detailed Description
The objects of the present invention will be described in further detail with reference to the drawings and specific examples, which are not repeated herein, but the embodiments of the present invention are not limited to the following examples.
Example one
As shown in fig. 1 and fig. 3, a segmented sun-shading system for a large space building comprises a plurality of segmented sun-shading boards which are rotatably arranged on each vertical wall of the large space building from top to bottom, a motor driving system which respectively drives each segment of sun-shading board to rotate, and a time motor control system which is in signal connection with the motor driving system, wherein the time motor control system is based on the LONWORKS control network technology and is used for driving the motor to rotate according to preset parameters at different moments so as to adjust the rotating angle of each segment of sun-shading board to dynamically adjust the light environment in the large space building.
In the embodiment, the number of the segments of the segmented sun-shading boards of each vertical wall is three, the segmented sun-shading boards comprise an upper segment sun-shading board 1, a middle segment sun-shading board 2 and a lower segment sun-shading board 3, and rotating shafts are arranged at the intersection parts of the segmented sun-shading boards and the wall surface, wherein the rotating shafts positioned on the east and west wall bodies are vertical rotating shafts (see figure 2), the sun-shading boards connected with the vertical rotating shafts are 0 degree when being vertical to the wall surface, the angle is positive when the segmented sun-shading boards rotate to the south, and the angle is negative when the segmented sun-shading boards rotate to the north; the rotating shafts on the south and north walls are horizontal rotating shafts (see fig. 3), the sun shield connected with the horizontal rotating shafts is 0 degree when being vertical to the wall surface, the angle is positive when the sun shield rotates upwards, and the angle is negative when the sun shield rotates downwards.
Example two
In the embodiment, because the simulation analysis cannot be performed on each region one by one based on the local region light climate environment, the indoor light environment under the control of the segmented sunshade system of a large-space building (taking a training hall as an example) is simulated and analyzed based on the Guangzhou region light climate environment by taking the Guangzhou region as an example, so that the relevant parameters of the optimal segmented sunshade system are obtained.
A parameter optimization method of the segmented sun-shading system comprises the following steps:
s1, preliminarily obtaining a comfortable illuminance range when the crowd in the area in the large-space building has the best comfort; the world countries attach importance to the indoor light environment quality of the building, and the minimum standard value of the illuminance is specified, and the specific numerical values are shown in table 1:
table 1: the unit for comparing the lowest standard value of indoor illumination of buildings in each country is as follows: lx (low x)
However, the illuminance in the indoor light environment is not as high as possible, and excessive illumination may in turn reduce the lighting uniformity, generate discomfort glare, and reduce the comfort, especially in sports buildings, and the performance of sportsmen is directly affected by the too low lighting uniformity and discomfort glare. In the embodiment, the light environment comfort range of the sports population suitable for the training hall in the region is preliminarily obtained by sorting and analyzing the actual measurement data of the light environment of the training hall in Guangzhou area for many years and the subjective evaluation value of the light environment comfort range of the sports population, namely the light illumination comfort range of the sports population suitable for the training hall in the Guangzhou area in China is 280Lx-980Lx, and the comfort level is highest when the indoor light illumination of the training hall is 600 Lx; the comfortable range of the lighting coefficient is 3.6% -11.5%, and the comfort level is the highest when the lighting coefficient is 6%, and the comfortable range is used as the target of indoor light environment adjustment in the embodiment.
S2, establishing a large-space building and sun-shading board abstract model of a side interface lighting mode by adopting Grasshopper software, wherein the large-space building and sun-shading board abstract model comprises a first space model, a second space model and a third space model, and the first space model is a quadrilateral model with a fully-opened side interface and no any sun-shading component; the second space model is formed by adding a common sun visor on the basis of the first space model; the third space model is to replace the common sun visor with a multi-section sun visor on the basis of the second space model, and comprises an upper-section sun visor 1, a middle-section sun visor 2 and a lower-section sun visor 3 (see fig. 4). After parametric modeling, converting the model into a grid, and importing the model into a Radience software by using a Honeybee plug-in and a Ladybug plug-in;
s3, selecting the illumination intensity of a corresponding time point of a specified day in a typical season of the area to simulate the model; the Guangzhou area in China is located in a hot summer and warm winter area, belongs to subtropical monsoon climate, has the average annual sunshine duration of about 1900 hours and annual sunshine percentage of 40-50%, and has abundant sunshine resources. Through the arrangement of climate data of the city weather bureau of Guangzhou China in recent years, the climate data that 12 noon in 18 months in summer is the strongest day of the sun illumination in the whole year, and that 27 days in 1 month is the weakest day of the sun illumination in the whole year are known. In the embodiment, a sun-shading system model optimized at the moment of the strongest illumination in summer is used as a basic model, and further, the indoor light environment can dynamically adapt to the change of the outdoor light climate environment in each season and each time period by optimizing the rotation angle of the sun-shading board. Since it is impossible to perform simulation optimization at each time of the whole year, a typical day of three seasons, namely a hot season (summer), a cold season (winter) and a transition season (spring) is selected for performing early morning, noon and afternoon simulation, and the specific simulation time is 9, 00, 12.
S4, automatically modifying relevant parameters of the Grasshopper-controlled sun visor by using a genetic algorithm, controlling an optimization target of the genetic algorithm by using an initially obtained illumination comfort range when the crowd has the best comfort, and continuously and circularly simulating and analyzing the indoor light environment, so as to obtain the relevant parameters of the sun visor in the optimal segment of 12 days in summer 8 and 18 days in the region; screening the relative parameters of the optimal segmented sun visor obtained in the optimization process to obtain the relative parameters of the optimal segmented sun visor, and specifically comprising the following steps:
s41, setting software simulation time as a corresponding time point of a given day in a typical season of a region, simulating a second space model, automatically modifying relevant parameters of the Grasshopper-controlled sun-shading boards by using a genetic algorithm, controlling optimization targets of the genetic algorithm by using a primarily acquired illumination comfort range when the crowd has the best comfort, and continuously and circularly simulating and analyzing an indoor light environment to obtain better results of the number, the width and the rotation angle of each sun-shading board of the second space model; the software simulation time is set to 12 00 in 8 months and 18 days (day with the strongest illumination) in summer, and the first space model is simulated, and the simulation result is as follows, so that the indoor lighting uniformity is low, the indoor illuminance is out of the initially obtained light comfort range, and the indoor heat radiation level is high.
Table 2: summer 8 months, 18 days and 12 days
| 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, screening the better results of the number n, the width w and the rotation angle alpha of the sun-shading boards in each direction obtained in the step S41 to obtain the optimal results of the number, the width and the rotation angle of the sun-shading boards (see the figure 5 and the figure 6), further improving the indoor lighting uniformity and enabling the maximum illuminance and the minimum illuminance to be within the illuminance comfortable range;
the analysis result shows that the optimization design is successful. There is still the problem of low uniformity, and the maximum and minimum illumination in the room are both outside the comfortable range of illumination, such as easy: 604Lx; emax:986Lx; emin:274Lx; u1=0.47; u2=0.29.
S43, on the basis of the second space model, keeping the optimal results of the number and the width of the sunvisors unchanged, further optimizing the rotation angle of the segmented sunvisor of the third space model, namely automatically modifying relevant parameters of the sunvisor controlled by Grasshopper by using a genetic algorithm, controlling the optimization target of the genetic algorithm by using the preliminarily obtained illumination comfort range when the crowd has the best comfort, and continuously and circularly performing simulation analysis on the indoor light environment so as to obtain the optimal result of the rotation angle of each segment of the sunvisor of the third space model.
And S44, screening the better result of the rotation angle of each section of each segmented sun shield obtained in the step S43 to obtain the optimal result of the rotation angle of each section of each segmented sun shield (see figures 7 and 8), further improving the uniformity of indoor lighting, and enabling the maximum illuminance and the minimum illuminance to be within a comfortable illuminance range, wherein, eave:516Lx; emax:854Lx; emin:310Lx; u1=0.60; u2=0.36, and as can be seen from fig. 8, although the average indoor illuminance is reduced, the uniformity U2 is greatly improved, and the illuminance of all the indoor measurement points is within the comfort range. Therefore, the design strategy of the segmented sun visor can make the indoor overall light environment more comfortable, and the subsequent optimization design in other seasons and other periods is optimized by the strategy of the segmented sun visor.
S5, circulating the steps S3 to S4 to obtain relevant parameters of the optimal sun visor at corresponding time points of the appointed day of all typical seasons, wherein indoor light environment optimization results and corresponding segmented sun visor rotation angles under the control of the segmented sun visor at all seasons and all moments are shown in the figures 9 to 17, and the optimal rotation angles of the segmented sun visor can be obtained at any other moment through the method.
Specifically, in this embodiment, the screening steps in steps S42 and S44 specifically include:
s11, arranging and importing the obtained better result into Excel software;
s12, eliminating a better result when the maximum illuminance and the minimum illuminance are out of the illuminance comfortable range;
and S13, performing descending order arrangement on the average illuminance of the rest better results, and selecting several groups of better results which simultaneously meet the condition that the average illuminance is close to 600Lx and have higher uniformity as the optimal results.
The optimal rotation angles of the segmented sun-shading boards in different seasons and different moments can be obtained and summarized through the embodiment; the optimal rotating angle of the segmented sun shield at each moment is stored in a motor controller of the LONWORKS, the motor automatically operates at each moment, the rotating angle of the segmented sun shield is adjusted, and finally, the rotating angle of the segmented sun shield is intelligently controlled to dynamically adjust the indoor light environment of the large-space building.
The above examples of the present invention are merely examples for clearly illustrating the present invention and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (9)
1. A parameter optimization method of a segmented sun-shading system for a large-space building is characterized in that the method is realized based on the segmented sun-shading system for the large-space building, the segmented sun-shading system comprises a plurality of segmented sun-shading boards which are rotationally arranged on each vertical wall of the large-space building from top to bottom, a motor driving system for respectively driving each segment of sun-shading board to rotate, and a time motor control system in signal connection with the motor driving system, wherein the time motor control system is based on an LONWORKS control network technology and is used for driving a motor to rotate according to preset parameters at different moments, so that the rotating angle of each segment of sun-shading board is adjusted to dynamically adjust the indoor light environment of the large-space building;
the method comprises the following steps:
s1, preliminarily obtaining a comfortable illuminance range when the crowd in the area in the large-space building has the best comfort;
s2, establishing a large-space building and sun visor abstract model of a side interface lighting mode by adopting Grasshopper software, converting the abstract model into a grid after parametric modeling, and importing the model into Radiance software by using Honeybee and Ladybug plug-ins;
s3, selecting the illumination intensity of a corresponding time point of a specified day in a typical season of the area to simulate the model;
s4, automatically modifying relevant parameters of the Grasshopper-controlled sun visor by using a genetic algorithm, controlling an optimization target of the genetic algorithm by using an initially obtained illuminance comfort range when the comfort level of the crowd is optimal, and continuously and circularly simulating and analyzing the indoor light environment so as to obtain the relevant parameters of the better sun visor at corresponding time points of typical seasons in the area; screening the relative parameters of the better sun shield obtained in the optimization process to obtain the relative parameters of the optimal sun shield;
and S5, circulating the steps S3-S4 to obtain the related parameters of the optimal sun visor at the corresponding time point of the appointed day in all typical seasons.
2. The parameter optimization method according to claim 1, wherein: in the segmented sun shading system, the number of segments of the segmented sun shading plate is more than two.
3. The parameter optimization method according to claim 2, wherein: in the segmented sun shading system, the number of the segments of the segmented sun shading plate is three.
4. The parameter optimization method according to claim 1, wherein: in the segmented sun shading system, a rotating shaft is arranged at the intersection of the segmented sun shading boards and the wall surface, wherein the rotating shaft positioned on the east and west walls is a vertical rotating shaft, the sun shading board connected with the vertical rotating shaft is 0 degree when being vertical to the wall surface, the angle is positive when the sun shading board rotates south, and the angle is negative when the sun shading board rotates north; the rotating shafts positioned on the south and north walls are horizontal rotating shafts, the sun shield connected with the horizontal rotating shafts is 0 degree when being vertical to the wall surface, the angle is positive when the sun shield rotates upwards, and the angle is negative when the sun shield rotates downwards.
5. The parameter optimization method according to claim 1, wherein in step S3, the illumination intensity of the corresponding time point of the typical season designated day comprises: illumination intensity of the most intense day of the super-heated season illumination, the weakest day of the super-cooled season illumination and the intermediate day of the transitional season illumination of 9.
6. The parameter optimization method according to claim 5, wherein the transition season is spring or autumn.
7. The parameter optimization method according to claim 1, wherein in step S2, the training hall of side interface lighting system and the abstract model of sun visor include a first space model, a second space model and a third space model, wherein the first space model is a quadrilateral model with a fully open side interface and no any sun-shading component; the second space model is formed by adding a common sun visor on the basis of the first space model; the third space model is that the common sun visor is replaced by a multi-section sun visor on the basis of the second space model.
8. The parameter optimization method according to claim 7, wherein the step S4 specifically comprises:
s41, setting software simulation time as a corresponding time point of a given day in a typical season of a region, simulating a second space model, automatically modifying relevant parameters of the Grasshopper-controlled sun-shading boards by using a genetic algorithm, controlling optimization targets of the genetic algorithm by using a primarily acquired illumination comfort range when the crowd has the best comfort, and continuously and circularly simulating and analyzing an indoor light environment to obtain better results of the number, the width and the rotation angle of each sun-shading board of the second space model;
s42, screening the better results of the number, the width and the rotation angle of the sun-shading boards in each direction obtained in the step S41 to obtain the optimal results of the number, the width and the rotation angle of the sun-shading boards, and further improving the indoor lighting uniformity to ensure that the maximum illuminance and the minimum illuminance are both in a comfortable illuminance range;
s43, on the basis of the second space model, keeping the optimal results of the number and the width of the sun visors unchanged, further optimizing the rotation angle of the segmented sun visor of the third space model, namely automatically modifying relevant parameters of the sun visor controlled by Grasshopper by using a genetic algorithm, controlling an optimization target of the genetic algorithm by using the preliminarily obtained illumination comfort range with the best comfort degree of the crowd, and continuously and circularly performing simulation analysis on the indoor light environment to obtain the optimal result of the rotation angle of each segment of the sun visor of the third space model;
and S44, screening the better result of the rotation angle of each section of each sectional sun shield obtained in the step S43 to obtain the optimal result of the rotation angle of each section of each sectional sun shield, and further improving the indoor lighting uniformity to ensure that the maximum illuminance and the minimum illuminance are both in the illuminance comfortable range.
9. The parameter optimization method according to claim 8, wherein the step of screening specifically comprises:
s11, arranging and importing the obtained better result into Excel software;
s12, rejecting a better result when the maximum illuminance and the minimum illuminance are out of the illuminance comfortable range;
and S13, performing descending order arrangement on the average illuminance of the rest better results, and selecting several groups of better results which simultaneously meet the condition that the average illuminance is close to 600Lx and have higher uniformity as the optimal results.
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| CN201878050U (en) * | 2010-11-18 | 2011-06-22 | 浙江德裕科技有限公司 | Ecological intelligent power generation sunshade board |
| CN202451025U (en) * | 2011-09-26 | 2012-09-26 | 深圳市中锋智能技术有限公司 | Sunshade system and rotating angle control device thereof |
| CN105818650A (en) * | 2016-02-25 | 2016-08-03 | 乐卡汽车智能科技（北京）有限公司 | Automatic control method, device and system for sun shield |
| CN207211559U (en) * | 2017-06-02 | 2018-04-10 | 华南理工大学 | A kind of segmentation shading system for volumed space building |
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| CN201878050U (en) * | 2010-11-18 | 2011-06-22 | 浙江德裕科技有限公司 | Ecological intelligent power generation sunshade board |
| CN202451025U (en) * | 2011-09-26 | 2012-09-26 | 深圳市中锋智能技术有限公司 | Sunshade system and rotating angle control device thereof |
| CN105818650A (en) * | 2016-02-25 | 2016-08-03 | 乐卡汽车智能科技（北京）有限公司 | Automatic control method, device and system for sun shield |
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