Evaluation method, related device and storage medium for electrochromic window control strategy

Abstract

The present application provides an evaluation method, related device and storage medium for an electrochromic window control strategy. The method comprises modifying parameters in a typical building model according to the building orientation of a target building and the region to which the target building belongs, thereby obtaining a target building model. Seasonal division is then performed according to typical meteorological data of the region to which the target building belongs, and a control strategy for the electrochromic window is generated. For each control strategy, a shift schedule for the electrochromic window under the control strategy is determined according to the typical meteorological data of the region to which the target building belongs. For each control strategy, the typical meteorological data of the region to which the target building belongs, the target building model, the electrochromic window model and the shift schedule for the electrochromic window under the control strategy are input into simulation software, and comprehensive performance indicators of the control strategy in different seasons are obtained as output. Based on the comprehensive evaluation indicators, a control strategy for electrochromic windows suitable for buildings in the region and with the corresponding orientation is proposed by season.

Description

Technical Field

[0001] The present application relates to the field of smart window technology, and in particular to an evaluation method, related device and storage medium for an electrochromic window control strategy. Background Art

[0002] Since the application of electrochromic windows in the architectural field, their performance research has attracted widespread attention. However, researchers often focus on the energy-saving potential of electrochromic windows and ignore their impact on the comprehensive light and heat performance of indoor spaces.

[0003] In addition, the reasonable setting of the gear parameters and control strategies of electrochromic windows has an important impact on the improvement of their lighting and energy-saving performance. However, current electrochromic windows mostly use unified decision parameters and thresholds throughout the year, ignoring seasonal differences and user needs. Summary of the Invention

[0004] In light of this, this application provides an evaluation method, related device, and storage medium for electrochromic window control strategies. These methods summarize the comprehensive performance indicators of electrochromic window control strategies across different seasons and evaluate their seasonal performance. Based on these comprehensive evaluation indicators, seasonal electrochromic window control strategies suitable for buildings in a particular location and orientation are proposed.

[0005] In a first aspect, the present application provides a method for evaluating an electrochromic window control strategy, comprising:

[0006] Obtain the building orientation of the target building and the typical meteorological data of the area where the target building is located;

[0007] Modify the parameters of the typical building model according to the building orientation of the target building and the area to which the target building belongs, and obtain the target building model;

[0008] Performing seasonal division based on typical meteorological data of the region to which the target building belongs, thereby obtaining a seasonal division result for the region to which the target building belongs; wherein the seasons are divided into a transition season, a heating season, and a cooling season; and the seasonal division result includes a time range of the transition season, a time range of the heating season, and a time range of the cooling season;

[0009] generating a control strategy for the electrochromic window based on typical meteorological data for the region where the target building is located;

[0010] For each of the control strategies, determining a gear schedule for the electrochromic window under the control strategy based on typical meteorological data of a region where the target building is located;

[0011] For each control strategy, typical annual meteorological data for the target building's region, the target building model, the electrochromic window model, and the electrochromic window shift schedule for the control strategy are input into simulation software. The simulation software then outputs glare potential, effective daylight illumination, and energy consumption data for each control strategy in each season.

[0012] For each season, a first measurement index, a second measurement index, and a third measurement index are calculated according to the glare possibility, effective daylight illumination, and energy consumption data of the control strategy in the season;

[0013] Based on the first measurement indicator, the second measurement indicator and the third measurement indicator, a comprehensive evaluation indicator of the control strategy in the season is determined; wherein, a larger comprehensive evaluation indicator indicates a better comprehensive performance of the control strategy in the season.

[0014] Optionally, generating a control strategy for the electrochromic window based on typical meteorological data of the region where the target building is located includes:

[0015] determining at least one decision parameter based on typical meteorological data of the region where the target building is located;

[0016] For each of the decision parameters, a control parameter threshold of each gear of the electrochromic window in each season is determined, and a control strategy for the electrochromic window is generated.

[0017] Optionally, for each of the control strategies, determining the electrochromic window gear schedule under the control strategy based on typical meteorological data of the region to which the target building belongs includes:

[0018] For each of the control strategies, testing is performed to obtain corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy;

[0019] Obtaining the hourly state of the electrochromic window gear according to the hourly values ​​of the decision parameters of the control strategy in the typical meteorological year data and the corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy;

[0020] A gear schedule of the electrochromic window under the control strategy is generated according to the hourly status of the electrochromic window gear.

[0021] Optionally, the method for constructing the typical building model includes:

[0022] For each region, obtain building energy consumption benchmark data, building envelope standards, and air conditioning types based on the region's corresponding building codes;

[0023] Establish a building model for the region based on the building energy consumption benchmark data, building envelope standards, and air conditioning forms in the region;

[0024] Generate a typical building model based on the building models of all the described areas.

[0025] Optionally, the method for constructing the electrochromic window model includes:

[0026] Using a DC power supply to obtain different transmittance states of the electrochromic window glass;

[0027] For each transmittance state, testing the visible light transmittance and spectral characteristics in the transmittance state to obtain a test result;

[0028] The electrochromic window is configured with a gear setting according to the test results to generate an electrochromic window model.

[0029] Optionally, for each season, the first metric, the second metric, and the third metric are calculated based on the glare possibility, effective daylight illumination, and energy consumption data of the control strategy in the season, including:

[0030] For each season, calculate a first measurement indicator according to the glare possibility of the control strategy in the season, the minimum glare possibility of all control strategies in the season, and the maximum glare possibility of all control strategies in the season;

[0031] For each season, calculate a second measurement indicator based on the effective daylight illumination of the control strategy in the season, the minimum value of the effective daylight illumination among all control strategies in the season, and the maximum value of the effective daylight illumination among all control strategies in the season;

[0032] For each season, a third measurement indicator is calculated based on the energy consumption data of the control strategy in the season, the minimum energy consumption data of all control strategies in the season, and the maximum energy consumption data of all control strategies in the season.

[0033] Optionally, determining a comprehensive evaluation index of the control strategy in the season based on the first measurement index, the second measurement index, and the third measurement index includes:

[0034] The average value of the first measurement index, the second measurement index and the third measurement index is used as the comprehensive evaluation index of the control strategy in the season.

[0035] A second aspect of the present application provides an evaluation device for an electrochromic window control strategy, comprising:

[0036] The first acquisition unit is used to acquire the building orientation of the target building and the typical meteorological data of the area where the target building is located;

[0037] A modification unit is used to modify the parameters in the typical building model according to the building orientation of the target building and the area to which the target building belongs, so as to obtain the target building model;

[0038] a division unit, configured to divide the seasons according to typical meteorological data of the region to which the target building belongs, and obtain a seasonal division result for the region to which the target building belongs; wherein the seasons are divided into a transition season, a heating season, and a cooling season; and the seasonal division result includes a time range of the transition season, a time range of the heating season, and a time range of the cooling season;

[0039] A first generating unit is configured to generate a control strategy for the electrochromic window based on typical meteorological data of the region where the target building is located;

[0040] A first determining unit is configured to determine, for each of the control strategies, a gear schedule of the electrochromic window under the control strategy based on typical meteorological data of a region to which the target building belongs;

[0041] An input unit is configured to input, for each control strategy, typical meteorological data for the region to which the target building belongs, the target building model, the electrochromic window model, and a shift schedule for the electrochromic window under the control strategy into simulation software, wherein the simulation software outputs glare potential, effective daylight illumination, and energy consumption data for each control strategy in each season;

[0042] a calculation unit, configured to calculate, for each season, the first measurement index, the second measurement index, and the third measurement index according to the glare possibility, the effective daylight illumination, and the energy consumption data of the control strategy in the season;

[0043] The second determination unit is used to determine the comprehensive evaluation index of the control strategy in the season based on the first measurement index, the second measurement index and the third measurement index; wherein, the larger the comprehensive evaluation index, the better the comprehensive performance of the control strategy in the season.

[0044] Optionally, the first generating unit includes:

[0045] a third determining unit, configured to determine at least one decision parameter based on typical meteorological data of a region where the target building is located;

[0046] The first generating subunit is configured to determine, for each of the decision parameters, a control parameter threshold value of each gear of the electrochromic window in each season, and generate a control strategy for the electrochromic window.

[0047] Optionally, the first determining unit includes:

[0048] A first testing unit is configured to test, for each of the control strategies, the corresponding states of the electrochromic window at different gears under the decision parameters of the control strategy;

[0049] a first determining subunit, configured to determine the hourly state of the electrochromic window gear according to the hourly values ​​of the decision parameters of the control strategy in the typical meteorological year data and the corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy;

[0050] The second generating unit is configured to generate a gear schedule of the electrochromic window under the control strategy according to the hourly status of the electrochromic window gear.

[0051] Optionally, the construction unit of the typical building model includes:

[0052] The second acquisition unit is used to obtain building energy consumption benchmark data, building envelope standards and air conditioning types for each region according to the corresponding building codes of the region;

[0053] An establishment unit is used to establish a building model of the region based on the building energy consumption benchmark data, envelope structure standards and air conditioning forms of the region;

[0054] The third generating unit is configured to generate a typical building model based on the building models of all the areas.

[0055] Optionally, the construction unit of the electrochromic window model includes:

[0056] a third acquiring unit, configured to acquire different transmittance states of the glass of the electrochromic window using a DC power supply;

[0057] A second testing unit is configured to test the visible light transmittance and spectral characteristics in each transmittance state to obtain a test result;

[0058] A fourth generating unit is configured to set a gear for the electrochromic window according to the test result and generate an electrochromic window model.

[0059] Optionally, the computing unit includes:

[0060] a first calculation subunit, configured to calculate, for each season, a first measurement indicator according to the glare possibility of the control strategy in the season, the minimum glare possibility among all control strategies in the season, and the maximum glare possibility among all control strategies in the season;

[0061] a second calculation subunit, configured to calculate, for each season, a second measurement indicator based on the effective daylight illumination of the control strategy in the season, the minimum value of the effective daylight illumination among all control strategies in the season, and the maximum value of the effective daylight illumination among all control strategies in the season;

[0062] The third calculation subunit is used to calculate the third measurement index for each season based on the energy consumption data of the control strategy in the season, the minimum value of the energy consumption data among all control strategies in the season, and the maximum value of the energy consumption data among all control strategies in the season.

[0063] Optionally, the second determining unit includes:

[0064] The second determining subunit is configured to use an average value of the first measurement index, the second measurement index, and the third measurement index as a comprehensive evaluation index of the control strategy in the season.

[0065] A third aspect of the present application provides an electronic device, including:

[0066] one or more processors;

[0067] a storage device having one or more programs stored thereon;

[0068] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for evaluating the electrochromic window control strategy as described in any one of the first aspects.

[0069] A fourth aspect of the present application provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for evaluating the electrochromic window control strategy as described in any one of the first aspects is implemented.

[0070] As can be seen from the above scheme, the present application provides an evaluation method, related device and storage medium for the electrochromic window control strategy, which comprises the following steps: after obtaining the building orientation of the target building and the typical meteorological data of the region to which the target building belongs; modifying the parameters in the typical building model according to the building orientation of the target building and the region to which the target building belongs, and obtaining the target building model; then, dividing the seasons according to the typical meteorological data of the region to which the target building belongs, and generating the control strategy for the electrochromic window; for each of the control strategies, determining the gear schedule of the electrochromic window under the control strategy according to the typical meteorological data of the region to which the target building belongs; for each of the control strategies, converting the typical meteorological data of the region to which the target building belongs into the gear schedule of the electrochromic window under the control strategy; and Annual data, the target building model, the electrochromic window model, and the electrochromic window shift schedule under the control strategy are input into simulation software. The simulation software outputs seasonal glare potential, effective daylight illumination, and energy consumption data for the control strategy. For each season, a first metric, a second metric, and a third metric are calculated based on the glare potential, effective daylight illumination, and energy consumption data for the control strategy in that season. Based on the first, second, and third metric, a comprehensive evaluation index for the control strategy in that season is determined. A larger comprehensive evaluation index indicates better overall performance of the control strategy in that season. The comprehensive performance indexes of the electrochromic window control strategy in different seasons are summarized to evaluate its seasonal comprehensive performance. Based on the comprehensive evaluation index, a seasonally appropriate electrochromic window control strategy for buildings in that region and orientation is proposed. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0072] Figure 1 Schematic diagram of the structure of an electrochromic window;

[0073] Figure 2 A specific flow chart of a method for evaluating an electrochromic window control strategy provided in an embodiment of the present application;

[0074] Figure 3 A flowchart of a method for constructing a typical building model provided in another embodiment of the present application;

[0075] Figure 4 A schematic diagram of a typical building model provided in another embodiment of the present application;

[0076] Figure 5 A flow chart of a control strategy for generating an electrochromic window provided in another embodiment of the present application;

[0077] Figure 6 A schematic diagram of the correlation of monitorable environmental parameters provided by another embodiment of the present application;

[0078] Figure 7 A flowchart of a method for generating a shift schedule for an electrochromic window provided in another embodiment of the present application;

[0079] Figure 8 A flowchart of a method for constructing an electrochromic window model provided in another embodiment of the present application;

[0080] Figure 9 This is a diagram illustrating an electrochromic window control strategy evaluation method according to another embodiment of the present application;

[0081] Figure 10 A schematic diagram of an evaluation device for an electrochromic window control strategy provided by another embodiment of the present application;

[0082] Figure 11 A schematic diagram of an electronic device for implementing an evaluation method for an electrochromic window control strategy provided in another embodiment of the present application. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0084] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to." The term "based on" means "based, at least in part, on." The term "one embodiment" means "at least one embodiment," the term "another embodiment" means "at least one additional embodiment," and the term "some embodiments" means "at least some embodiments." Other terms are defined in the following description.

[0085] It is understandable that before using the technical solutions disclosed in the various embodiments of this disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved in this disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0086] It should be noted that the concepts of "first" and "second" mentioned in this application are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0087] It should be noted that the modifications of "one" and "multiple" mentioned in this application are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0088] First, the technical terms used in this application are explained:

[0089] Electrochromic (EC) windows can change transmittance and solar heat gain coefficient according to a small DC voltage applied from the outside, thereby achieving precise control of visible light and solar radiation heat entering the room. Figure 1 As shown, the electrochromic material is deposited on a glass or plastic substrate to form a nanometer-thick film. When the power is not connected or the power is reversed, the electrochromic coating is in a transparent state, allowing a large amount of visible light and solar radiation heat to enter the room through the window; when the power is forwarded, the chemical materials, ions and electrons in the electrochromic coating react, the color becomes darker and the transmittance of the window is reduced, thereby blocking some sunlight and radiation heat.

[0090] Currently, simple rule-based control is often used to select control strategies for electrochromic windows, with indoor horizontal illuminance or incident solar radiation intensity typically chosen as the decision parameter. While this type of control strategy is logically simple, performance in terms of lighting and energy consumption varies significantly due to seasonal variations in solar altitude. It also ignores the diverse needs of users across seasons and the seasonal variations in meteorological parameters. Performance evaluations of electrochromic windows are often based on a single performance factor, either lighting or energy consumption. This single-factor evaluation of electrochromic window control strategies fails to achieve a balance between energy savings and lighting comfort. Furthermore, most current research on electrochromic window control strategy optimization focuses on energy efficiency, with insufficient attention paid to lighting and visual comfort. Empirical values ​​are often used to select control parameters and thresholds for electrochromic windows, failing to address the differentiated needs of different regions and users. The lack of control strategy selection methods and systems tailored to each climate zone makes it difficult to benchmark the performance of various control strategies for users in different regions and facing different directions.

[0091] To this end, the present invention provides an evaluation method for an electrochromic window control strategy, such as Figure 2 As shown, the specific steps include:

[0092] S201. Obtain the building orientation of the target building and typical meteorological data of the region where the target building is located.

[0093] Typical meteorological year data include but are not limited to temperature, humidity, solar radiation, wind speed, etc., which are not limited here.

[0094] It should be noted that buildings can include but are not limited to residential buildings, office buildings, etc., and are not limited here.

[0095] S202: Modify the parameters in the typical building model according to the building orientation of the target building and the area to which the target building belongs, to obtain the target building model.

[0096] Among them, the typical building model includes building models of multiple regions, and can be selected and modified according to actual conditions. For example: if the target building is located in Changsha, then in the typical building model, select Changsha as the region and the building orientation of the target building to finally obtain the target building model.

[0097] Optionally, in another embodiment of the present application, a typical building model construction method is implemented as follows: Figure 3 Shown, including:

[0098] S301. For each region, obtain building energy consumption benchmark data, building envelope standards, and air conditioning types according to the corresponding building codes of the region.

[0099] Among them, the building energy consumption benchmark data involves multiple aspects, including but not limited to the energy consumption standards of various links such as building design, construction, operation and management; the envelope structure standards include but not limited to the materials and thermal parameters of the building's walls, roofs, windows, floors and other envelope structures; the air-conditioning form includes but not limited to the type of air-conditioning system used in the building (such as central air-conditioning, split air-conditioning, etc.) and its performance parameters (such as energy efficiency ratio, etc.).

[0100] S302. Establish a regional building model based on the regional building energy consumption benchmark data, building envelope standards, and air conditioning types.

[0101] S303: Generate a typical building model based on the building models of all regions.

[0102] like Figure 4 , which is a schematic diagram of a typical building model provided in an embodiment of the present application.

[0103] S203. Perform seasonal division according to typical meteorological data of the region where the target building is located, and obtain a seasonal division result of the region where the target building is located.

[0104] Among them, the seasons are divided into transition season, heating season and cooling season; the seasonal division results include the time range of the transition season, the time range of the heating season and the time range of the cooling season.

[0105] Specifically, the temperature thresholds used to divide seasons are determined based on local climate characteristics and comfortable temperature ranges. The following are commonly used temperature thresholds:

[0106] Transition season: Temperatures are between 18°C ​​and 24°C, with no need for additional heating or cooling.

[0107] Heating season: When the temperature is below 18°C, turn on the heating system.

[0108] Cooling season: When the temperature is above 24°C, turn on the cooling system.

[0109] It should be noted that the time ranges of the transition season, heating season and cooling season are different in different regions. They are not simply divided by summer and winter, but are divided according to local climate characteristics. For example, Beijing's heating season is from November 12 to March 14 of the following year, and the cooling season is from June 20 to August 3, and the rest of the time is the transition season; Changsha's heating season is from December 26 to February 11 of the following year, and the cooling season is from June 25 to August 23, and the rest of the time is the transition season.

[0110] S204: Generate a control strategy for the electrochromic window based on typical meteorological data of the region where the target building is located.

[0111] During the implementation of this application, a correlation analysis was conducted on the monitored environmental parameters (shown in Table 1). Statistical analysis methods were used to determine the correlations between these parameters across different regions, and their impact on building energy consumption, daylight utilization, and indoor comfort was evaluated. Decision parameters with a target number of correlations corresponding to each climate zone were selected as the decision parameters for each control strategy. Optimization analysis was then performed to determine the optimal control thresholds for these decision variables.

[0112] Environmental parameters unit Direct radiation W / ㎡ Diffuse radiation W / ㎡ Outdoor horizontal sky illuminance lx Outdoor horizontal beam illuminance lx Outdoor beam normal illuminance lx Scattered radiation efficiency lum / W Beam radiation efficiency lum / W Sky brightness cd / ㎡ Incoming solar radiation W / ㎡ Incident beam radiation W / ㎡ Horizontal illumination lx

[0113] Table 1

[0114] Optionally, in another embodiment of the present application, an implementation of step S204 is as follows: Figure 5 Shown, including:

[0115] S501. Determine at least one decision parameter based on typical meteorological data of the region where the target building is located.

[0116] In the specific implementation process of this application, taking Harbin as an example, according to its typical meteorological year data, we can get Figure 6 The correlation diagram of Figure 6As can be seen above, there is a strong correlation between incident solar radiation (ISR), horizontal illuminance (IL), and indoor glare potential (DGP). Furthermore, incident beam radiance (IBSR) and beam radiant light efficiency (BSRLE) also significantly influence indoor glare potential. Therefore, for the Harbin area, ISR, IL, IBSR, and BSRLE were selected as the daylighting decision parameters for the control strategy.

[0117] It is understandable that in the specific implementation process of this application, more parameters with strong correlation with DGP can be selected.

[0118] S502 : For each decision parameter, determine the control parameter thresholds of each gear of the electrochromic window in each season, and generate a control strategy for the electrochromic window.

[0119] Continuing with the above example, taking the BRSLE decision parameter as an example, in the transition season, with an interval of 20 lum / W, the four gears are divided according to the distribution of BRSLE values ​​when the electrochromic window is set to S1, S2, S3, and S4, thereby determining the control parameter thresholds of each gear. Finally, for the transition season in Harbin, BSRLE below 60 lum / W is set to S1, 60-80 lum / W is set to S2, 80-100 lum / W is set to S3, and above 100 lum / W is set to S4; if horizontal illuminance (IL) is used as the decision parameter, when IL is lower than 500lx, the electrochromic window is set to S1 gear, 1500-4000lx is set to S2, 4000-20000lx is set to S3, and more than 20000lx is set to S4.

[0120] S205 . For each control strategy, determine a gear schedule of the electrochromic window under the control strategy according to typical meteorological data of the region where the target building is located.

[0121] Specifically, based on the determined control strategy and the typical meteorological data of the area where the target building is located, a gear schedule for the electrochromic window under the control strategy can be compiled.

[0122] Optionally, in another embodiment of the present application, an implementation of step S205 is as follows: Figure 7 Shown, including:

[0123] S701 , for each control strategy, testing to obtain corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy.

[0124] Continuing with the above example, we will use the transition season in Harbin as an example to illustrate. When BSRLE is used as the decision variable, the BSRLE below 60 lum / W is set to S1, 60-80 lum / W is set to S2, 80-100 lum / W is set to S3, and above 100 lum / W is set to S4. The measured parameters (transmittance, reflectance, absorptivity, etc.) of the four electrochromic window levels are shown.

[0125] S702 , obtaining the hourly state of the electrochromic window gear according to the hourly values ​​of the decision parameters of the control strategy in the typical meteorological year data and the corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy.

[0126] According to the hourly values ​​of BSRLE in the typical meteorological year parameters and the corresponding states of different gears of the electrochromic window when the BSRLE is used as the decision variable in the control strategy, the hourly states of the electrochromic window gears (including the transmittance and shading state of the electrochromic window in each state) can be obtained.

[0127] S703 : Generate a gear schedule of the electrochromic window under the control strategy according to the hourly status of the electrochromic window gear.

[0128] S206. For each control strategy, the typical annual meteorological data for the target building region, the target building model, the electrochromic window model, and the electrochromic window gear schedule under the control strategy are input into the simulation software. The simulation software outputs the glare potential, effective daylight illumination, and energy consumption data for the control strategy in each season.

[0129] In the specific implementation process of this application, the simulation software can use but is not limited to the Rhino plug-in Grasshopper to simulate energy consumption and lighting at the same time. This is not limited here. Grasshopper can be integrated with EnergyPlus and Radiance through the plug-in, and can perform comprehensive analysis in one environment, covering multiple aspects such as building energy consumption and natural lighting. EnergyPlus is a computer software for building energy consumption simulation. It can simulate energy consumption performance under different conditions, including heating, ventilation, air conditioning (HVAC), lighting, and hot water system energy consumption. By inputting the target building model, electrochromic window model, typical meteorological year parameters and electrochromic window gear schedule, energy consumption data can be simulated. Radiance is a computer software for lighting analysis and visualization, which can relatively accurately simulate the distribution of sunlight and artificial light inside the building to optimize the lighting design. By determining a good gear schedule, the lighting effects of different seasons can be obtained.

[0130] It should be noted that natural lighting is the process of introducing direct and diffused natural light into a building through the translucent envelope of the building envelope, providing illumination for users. Good natural lighting can create a comfortable and efficient working environment, effectively reducing fatigue and seasonal discomfort, and satisfying the psychological need of indoor occupants to connect with nature. However, excessive natural lighting can cause uncomfortable glare. To assess visual comfort, this paper uses glare potential and effective daylight illuminance to evaluate visual comfort.

[0131] Glare is a complex phenomenon, which refers to the visual distribution in the field of view that causes visual discomfort and reduces the visibility of objects due to inappropriate brightness distribution or extreme brightness ratios in space or time. At present, the commonly used glare indices at home and abroad include: Discomfort Glare Index (DGI), Unified Glare Rating (UGR) of the International Commission on Illumination, and Glare Probability (DGP). Among them, DGI and UGR are evaluation indicators based on contrast calculation. UGR is often used to evaluate indoor artificial lighting glare, and DGI is often used to evaluate natural lighting glare, but it is easy to overestimate the degree of discomfort. The calculation formulas of glare possibility index and simplified glare possibility index are as follows:

[0132]

[0133] DGPs = 6.22 × 10 -5 E V +0.184

[0134] E V is the vertical illuminance of the eye generated by the light source (lx), L s is the brightness of the glare source (cd / ㎡), ω s Where sr is the solid angle corresponding to the glare source, P is the position index, DGP is the glare probability, and DGPs is the simplified glare probability. i refers to the i-th glare source. The vertical eye illuminance produced by the light source, the glare source brightness, the solid angle corresponding to the glare source, and the position index can be obtained, but not limited to, through Radiance modeling. These parameters can be obtained through software simulation to calculate the DGP value. While DGPs is only related to vertical eye illuminance, DGP considers illuminance saturation and brightness contrast, and is superior to other indicators in distinguishing between glare-intrusive and non-intrusive scenes. Therefore, in this invention, DGP is used as the glare assessment indicator. Based on the DGP value range, the glare probability can be divided into the following four levels, as shown in Table 2.

[0135] DGP value range Glare level DGP≤0.35 Imperceptible glare 0.35<DGP≤0.40 Perceivable glare 0.40<DGP≤0.45 Disturbed glare DGP>0.45 Can't stand glare

[0136] Table 2

[0137] Currently, commonly used metrics for evaluating light quantity both domestically and internationally fall into two categories: static and dynamic. Static metrics, such as the work surface illuminance and the daylight factor (DF), represent the natural lighting conditions within a building at a given moment. These metrics are simple and direct short-term standards for assessing light quantity, and their thresholds vary depending on building type and space usage. However, static metrics are often derived using a simplified calculation based on the CIE standard overcast sky model, ignoring the impact of actual working conditions on natural lighting. Furthermore, there are also dynamic performance indicators, such as daylight autonomy (DA), spatial daylight autonomy (sDA), and effective daylight illuminance (UDI). These metrics incorporate annual meteorological data and utilize the Perez sky model to better reflect actual daylight conditions. Effective daylight illuminance (UDI) is defined as the percentage of time at a given point in the year when the indoor horizontal daylight illuminance is within a given range. This indicator is divided into three levels. Usually, it is divided into 100lx, 500lx and 2000 / 2500lx. Therefore, in order to achieve the best lighting performance, this patent uses 500~2000lx as the indoor illumination value area. At the same time, considering that this patent evaluates the control strategy performance in a certain season, UDI is used. season As an evaluation indicator of effective natural lighting illuminance, it is defined as the proportion of time that the indoor horizontal daylight illuminance at a certain point in a certain season is within a given range (500-2000 lx). This patent can consider, but is not limited to, the effective natural lighting illuminance at a working plane (0.75m) 2m away from the window, and is not limited here.

[0138] Optionally, in another embodiment of the present application, an implementation method of the electrochromic window model is as follows: Figure 8 Shown, including:

[0139] S801: Using a DC power supply to obtain different transmittance states of the electrochromic window glass.

[0140] S802 : For each transmittance state, test the visible light transmittance and spectral characteristics in the transmittance state to obtain a test result.

[0141] In the specific implementation process of this application, a spectrophotometer can be used, but is not limited to, to measure the transmittance, reflectance, and absorptivity of the electrochromic window at different wavelengths (visible light and near-infrared bands). Its heat transfer coefficient, solar heat gain coefficient, and visible light transmittance can also be measured. This is not limited here.

[0142] S803: Setting the gear position for the electrochromic window according to the test results, and generating an electrochromic window model.

[0143] From all the result parameters, a target number of states was selected, corresponding to the target number of gears set for the electrochromic window. For example, four gears were named according to transmittance: S1 (transparent), S2 (low tinting), S3 (medium tinting), and S4 (high tinting). Based on the test results, a model for the four described electrochromic window states was established.

[0144] S207 . For each season, calculate a first measurement index, a second measurement index, and a third measurement index according to the glare possibility, effective daylight illumination, and energy consumption data of the control strategy in the season.

[0145] Optionally, in another embodiment of the present application, an implementation of step S207 includes:

[0146] For each season, a first measurement index is calculated based on the glare possibility of the control strategy in the season, the minimum glare possibility of all control strategies in the season, and the maximum glare possibility of all control strategies in the season.

[0147] For each season, the second measurement index is calculated based on the effective daylight illumination of the control strategy in the season, the minimum effective daylight illumination of all control strategies in the season, and the maximum effective daylight illumination of all control strategies in the season.

[0148] For each season, the third measurement index is calculated based on the energy consumption data of the control strategy in the season, the minimum value of the energy consumption data of all control strategies in the season, and the maximum value of the energy consumption data of all control strategies in the season.

[0149] In the specific implementation process of this application, the following calculation formula can be used to calculate the first measurement indicator, the second measurement indicator, and the third measurement indicator:

[0150]

[0151] Among them, SCPI (Seasonal comprehensive performance index) represents the seasonal comprehensive performance index, which is a dimensionless evaluation index. i represents the performance value of index i under a certain control strategy in a certain season, X min Indicates the minimum value of index i within the range of all control strategies in a season, X maxIndicates the maximum value of the i index within the range of all control strategies in a certain season. The i index refers to one of the glare possibility, effective sunlight and energy consumption data. According to the above calculation formula, the first measurement index SCPI1 (DGP < 0.35), the second measurement index SCPI2 (UDI season ) and the third metric SCPI3 (energy consumption). SCPI1 (DGP < 0.35) refers to the percentage of time when the glare probability (DGP) is less than 0.35 in a certain season under a certain control strategy. SCPI2 (UDI seaon ) refers to the proportion of time that the indoor horizontal daylight illumination at the working plane (0.75m) 2m away from the window is within a given range (500~2000lx) in this season under this control strategy.

[0152] S208. Determine a comprehensive evaluation index of the control strategy under the season based on the first measurement index, the second measurement index, and the third measurement index.

[0153] Among them, the larger the comprehensive evaluation index is, the better the comprehensive performance of the control strategy in the season is.

[0154] Optionally, in another embodiment of the present application, the average value of the first measurement index, the second measurement index and the third measurement index can be used as a comprehensive evaluation index of the control strategy under the season, which is not limited here.

[0155] like Figure 9 As shown, it is an overall architecture diagram of an evaluation method for an electrochromic window control strategy provided by an embodiment of the present application. The parameters of the electrochromic window glass are tested to obtain the photothermal characteristic parameters and structural parameters, and an electrochromic window model is generated. According to the building specifications corresponding to each region, the building energy consumption benchmark data, envelope structure standards and air-conditioning forms are obtained to generate a typical building model; after determining the climate zone (local season) and the building orientation, the decision variables (parameters) in the control strategy are determined and the control threshold is determined. For each control strategy, the typical meteorological year data of the region to which the target building belongs, the target building model, the electrochromic window model and the gear schedule of the electrochromic window under the control strategy are input into the simulation software. The simulation software outputs the glare possibility, effective daylight illumination and energy consumption data of the control strategy in each season, and then obtains the seasonal comprehensive performance evaluation index (comprehensive evaluation index under the season).

[0156] As can be seen from the above scheme, the present application provides an evaluation method for the control strategy of electrochromic windows. After obtaining the building orientation of the target building and the typical meteorological data of the area to which the target building belongs, the parameters in the typical building model are modified according to the building orientation of the target building and the area to which the target building belongs, so as to obtain the target building model; then, according to the typical meteorological data of the area to which the target building belongs, the control strategy of the electrochromic window is generated; for each control strategy, the gear schedule of the electrochromic window under the control strategy is determined according to the typical meteorological data of the area to which the target building belongs; for each control strategy, the typical meteorological data of the area to which the target building belongs is converted into the gear schedule of the electrochromic window under the control strategy; Annual data, the target building model, the electrochromic window model, and the electrochromic window shift schedule for the control strategy were input into simulation software. The simulation software then outputted seasonal glare potential, effective daylight illumination, and energy consumption data for the control strategy. For each season, the first, second, and third metrics were calculated based on the seasonal glare potential, effective daylight illumination, and energy consumption data for the control strategy. Based on these first, second, and third metrics, a comprehensive evaluation index for the control strategy was determined. A higher comprehensive evaluation index indicates better seasonal performance. The comprehensive performance indicators for the electrochromic window control strategy across different seasons were summarized to assess its seasonal performance. Based on these comprehensive evaluation indicators, a seasonally appropriate electrochromic window control strategy for buildings in that region and orientation was proposed.

[0157] The embodiment of the present application provides an evaluation device for an electrochromic window control strategy, such as Figure 10 As shown, specifically including:

[0158] The first acquisition unit 1001 is configured to acquire the building orientation of the target building and typical meteorological data of the region where the target building is located.

[0159] The modifying unit 1002 is configured to modify the parameters in the typical building model according to the building orientation of the target building and the region to which the target building belongs, so as to obtain the target building model.

[0160] Optionally, in another embodiment of the present application, an implementation of a construction unit of a typical building model includes:

[0161] The second acquisition unit is used to acquire building energy consumption benchmark data, envelope structure standards and air conditioning types for each region according to the building specifications corresponding to the region.

[0162] Establish a unit for building a regional building model based on the regional building energy consumption baseline data, envelope structure standards and air conditioning forms.

[0163] The third generating unit is used to generate a typical building model based on the building models of all regions.

[0164] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0165] The division unit 1003 is used to perform season division according to the typical meteorological data of the region where the target building is located, and obtain the seasonal division result of the region where the target building is located.

[0166] Among them, the seasons are divided into transition season, heating season and cooling season; the seasonal division results include the time range of the transition season, the time range of the heating season and the time range of the cooling season.

[0167] The first generating unit 1004 is configured to generate a control strategy for the electrochromic window according to typical meteorological data of the region where the target building is located.

[0168] Optionally, in another embodiment of the present application, an implementation of the first generating unit 1004 includes:

[0169] The third determining unit is configured to determine at least one decision parameter based on typical meteorological data of the region where the target building is located.

[0170] The first generating subunit is used to determine, for each decision parameter, a control parameter threshold value of each gear of the electrochromic window in each season, and generate a control strategy for the electrochromic window.

[0171] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0172] The first determining unit 1005 is configured to determine, for each control strategy, a gear schedule of the electrochromic window under the control strategy according to typical meteorological data of a region where the target building belongs.

[0173] Optionally, in another embodiment of the present application, an implementation of the first generating unit 1005 includes:

[0174] The first testing unit is used to test each control strategy to obtain corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy.

[0175] The first determination subunit is used to determine the hourly state of the electrochromic window gear according to the hourly value of the decision parameter of the control strategy in the typical meteorological year data and the corresponding state of different gears of the electrochromic window under the decision parameter of the control strategy.

[0176] The second generating unit is used to generate a gear schedule of the electrochromic window under the control strategy according to the hourly state of the electrochromic window gear.

[0177] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0178] Input unit 1006 is used to input typical meteorological data of the target building area, the target building model, the electrochromic window model and the electrochromic window gear schedule under the control strategy into the simulation software for each control strategy. The simulation software outputs the glare possibility, effective daylight illumination and energy consumption data of the control strategy in each season.

[0179] Optionally, in another embodiment of the present application, an implementation of a construction unit of an electrochromic window model includes:

[0180] The third acquisition unit is configured to acquire different transmittance states of the glass of the electrochromic window using a DC power supply.

[0181] The second testing unit is used to test the visible light transmittance and spectral characteristics in each transmittance state to obtain a test result.

[0182] The fourth generating unit is used to set the gear position for the electrochromic window according to the test result and generate an electrochromic window model.

[0183] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0184] The calculation unit 1007 is configured to calculate, for each season, the glare possibility, effective daylight illumination, and energy consumption data of the season according to the control strategy to obtain a first measurement index, a second measurement index, and a third measurement index.

[0185] Optionally, in another embodiment of the present application, an implementation of the calculation unit 1007 includes:

[0186] The first calculation subunit is used to calculate a first measurement index for each season based on the glare possibility of the control strategy in the season, the minimum glare possibility of all control strategies in the season, and the maximum glare possibility of all control strategies in the season.

[0187] The second calculation subunit is used to calculate the second measurement index for each season based on the effective daylight illumination of the control strategy in the season, the minimum value of the effective daylight illumination among all control strategies in the season, and the maximum value of the effective daylight illumination among all control strategies in the season.

[0188] The third calculation subunit is used to calculate the third measurement index for each season based on the energy consumption data of the control strategy in the season, the minimum energy consumption data of all control strategies in the season, and the maximum energy consumption data of all control strategies in the season.

[0189] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0190] The second determining unit 1008 is configured to determine a comprehensive evaluation index of the control strategy under the season according to the first measurement index, the second measurement index, and the third measurement index.

[0191] Among them, the larger the comprehensive evaluation index is, the better the comprehensive performance of the control strategy in the season is.

[0192] For the specific working process of the units disclosed in the above embodiments of the present application, please refer to the corresponding method embodiments, such as Figure 2 As shown, no further details are given here.

[0193] Optionally, in another embodiment of the present application, an implementation of the second determining unit 1008 includes:

[0194] The second determining subunit is configured to use an average value of the first measurement index, the second measurement index, and the third measurement index as a comprehensive evaluation index of the control strategy under the season.

[0195] The specific working process of the units disclosed in the above embodiments of this application can be found in the corresponding method embodiments and will not be repeated here.

[0196] It can be seen from the above scheme that the present application provides an evaluation device for the control strategy of an electrochromic window. After the first acquisition unit 1001 obtains the building orientation of the target building and the typical meteorological data of the region to which the target building belongs; the modification unit 1002 modifies the parameters in the typical building model according to the building orientation of the target building and the region to which the target building belongs, and obtains the target building model; the division unit 1003 divides the seasons according to the typical meteorological data of the region to which the target building belongs, and obtains the seasonal division results of the region to which the target building belongs. Then, the first generation unit 1004 generates the control strategy of the electrochromic window according to the typical meteorological data of the region to which the target building belongs; the first determination unit 1005 determines the electrochromic window under the control strategy according to the typical meteorological data of the region to which the target building belongs for each control strategy. The input unit 1006 inputs the typical meteorological data for the target building's region, the target building model, the electrochromic window model, and the electrochromic window shift schedule for each control strategy into the simulation software. The simulation software then outputs the glare potential, effective daylight illumination, and energy consumption data for each control strategy in each season. The calculation unit 1007 calculates a first metric, a second metric, and a third metric for each season based on the glare potential, effective daylight illumination, and energy consumption data for each control strategy. The second determination unit 1008 determines a comprehensive evaluation index for the control strategy based on the first, second, and third metric indicators. A larger comprehensive evaluation index indicates better seasonal performance of the control strategy. The comprehensive performance indexes of the electrochromic window control strategy in different seasons are summarized to evaluate its seasonal comprehensive performance. Based on the comprehensive evaluation index, a seasonally appropriate electrochromic window control strategy for buildings in that region and orientation is proposed.

[0197] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0198] Another embodiment of the present application provides an electronic device, such as Figure 11 Shown, including:

[0199] One or more processors 1101.

[0200] The storage device 1102 stores one or more programs.

[0201] When the one or more programs are executed by the one or more processors 1101 , the one or more processors 1101 implement the method for evaluating the electrochromic window control strategy as described in any one of the above embodiments.

[0202] Another embodiment of the present application provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for evaluating the electrochromic window control strategy as described in any one of the above embodiments is implemented.

[0203] In the context of the present application, a machine-readable medium can be a tangible medium that can contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared or semiconductor system, device or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0204] It should be noted that the computer-readable medium mentioned above in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this application, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0205] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0206] Another embodiment of the present application provides a computer program product. When the computer program product is executed, it is used to perform any of the above-mentioned methods for evaluating the electrochromic window control strategy.

[0207] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processing device, the above-mentioned functions defined in the method of the embodiment of the present application are performed.

[0208] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

[0209] Although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this application. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments individually or in any suitable sub-combination.

[0210] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. A method for evaluating an electrochromic window control strategy, characterized in that: include: Obtain the building orientation of the target building and the typical meteorological data of the area where the target building is located; Modify the parameters of the typical building model according to the building orientation of the target building and the area to which the target building belongs, and obtain the target building model; Performing seasonal division based on typical meteorological data of the region to which the target building belongs, thereby obtaining a seasonal division result for the region to which the target building belongs; wherein the seasons are divided into a transition season, a heating season, and a cooling season; and the seasonal division result includes a time range of the transition season, a time range of the heating season, and a time range of the cooling season; generating a control strategy for the electrochromic window based on typical meteorological data for the region where the target building is located; For each of the control strategies, determining a gear schedule for the electrochromic window under the control strategy based on typical meteorological data of a region where the target building is located; For each control strategy, typical annual meteorological data for the target building's region, the target building model, the electrochromic window model, and the electrochromic window shift schedule for the control strategy are input into simulation software. The simulation software then outputs the glare potential, effective daylight illumination, and energy consumption data for each control strategy in each season. For each season, a first measurement index, a second measurement index, and a third measurement index are calculated according to the glare possibility, effective daylight illumination, and energy consumption data of the control strategy in the season; Based on the first measurement indicator, the second measurement indicator and the third measurement indicator, a comprehensive evaluation indicator of the control strategy in the season is determined; wherein, a larger comprehensive evaluation indicator indicates a better comprehensive performance of the control strategy in the season.

2. The electrochromic window control strategy evaluation method according to claim 1, characterized in that: Generating a control strategy for the electrochromic window based on typical meteorological data of the region where the target building is located includes: determining at least one decision parameter based on typical meteorological data of the region where the target building is located; For each of the decision parameters, a control parameter threshold of each gear of the electrochromic window in each season is determined, and a control strategy for the electrochromic window is generated.

3. The method for evaluating the electrochromic window control strategy according to claim 2, wherein: For each of the control strategies, determining a gear schedule of the electrochromic window under the control strategy based on typical meteorological data of the region where the target building is located includes: For each of the control strategies, testing is performed to obtain corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy; Obtaining the hourly state of the electrochromic window gear according to the hourly values ​​of the decision parameters of the control strategy in the typical meteorological year data and the corresponding states of different gears of the electrochromic window under the decision parameters of the control strategy; A gear schedule of the electrochromic window under the control strategy is generated according to the hourly status of the electrochromic window gear.

4. The electrochromic window control strategy evaluation method according to claim 1, characterized in that: The method for constructing the typical building model comprises: For each region, obtain building energy consumption benchmark data, building envelope standards, and air conditioning types based on the region's corresponding building codes; Establish a building model for the region based on the building energy consumption benchmark data, building envelope standards, and air conditioning forms in the region; Generate a typical building model based on the building models of all the described areas.

5. The electrochromic window control strategy evaluation method according to claim 1, characterized in that: The method for constructing the electrochromic window model comprises: Using a DC power supply to obtain different transmittance states of the electrochromic window glass; For each transmittance state, testing the visible light transmittance and spectral characteristics in the transmittance state to obtain a test result; The electrochromic window is configured with a gear setting according to the test results to generate an electrochromic window model.

6. The method for evaluating the electrochromic window control strategy according to claim 1, wherein: For each season, the first metric, the second metric, and the third metric are calculated based on the glare possibility, effective daylight illumination, and energy consumption data of the control strategy in the season, including: For each season, calculate a first measurement indicator according to the glare possibility of the control strategy in the season, the minimum glare possibility of all control strategies in the season, and the maximum glare possibility of all control strategies in the season; For each season, calculate a second measurement indicator based on the effective daylight illumination of the control strategy in the season, the minimum value of the effective daylight illumination among all control strategies in the season, and the maximum value of the effective daylight illumination among all control strategies in the season; For each season, a third measurement indicator is calculated based on the energy consumption data of the control strategy in the season, the minimum energy consumption data of all control strategies in the season, and the maximum energy consumption data of all control strategies in the season.

7. The method for evaluating the electrochromic window control strategy according to claim 1, wherein: Determining the comprehensive evaluation index of the control strategy in the season based on the first measurement index, the second measurement index, and the third measurement index includes: The average value of the first measurement index, the second measurement index and the third measurement index is used as the comprehensive evaluation index of the control strategy in the season.

8. An evaluation device for an electrochromic window control strategy, characterized in that: include: The first acquisition unit is used to acquire the building orientation of the target building and the typical meteorological data of the area where the target building is located; A modification unit is used to modify the parameters in the typical building model according to the building orientation of the target building and the area to which the target building belongs, so as to obtain the target building model; a division unit, configured to divide the seasons according to typical meteorological data of the region to which the target building belongs, and obtain a seasonal division result for the region to which the target building belongs; wherein the seasons are divided into a transition season, a heating season, and a cooling season; and the seasonal division result includes a time range of the transition season, a time range of the heating season, and a time range of the cooling season; A first generating unit is configured to generate a control strategy for the electrochromic window based on typical meteorological data of the region where the target building is located; A first determining unit is configured to determine, for each of the control strategies, a gear schedule of the electrochromic window under the control strategy based on typical meteorological data of a region to which the target building belongs; An input unit is configured to input, for each control strategy, typical meteorological data for the region to which the target building belongs, the target building model, the electrochromic window model, and a shift schedule for the electrochromic window under the control strategy into simulation software, wherein the simulation software outputs glare potential, effective daylight illumination, and energy consumption data for each control strategy in each season; a calculation unit, configured to calculate, for each season, the first measurement index, the second measurement index, and the third measurement index according to the glare possibility, the effective daylight illumination, and the energy consumption data of the control strategy in the season; The second determination unit is used to determine the comprehensive evaluation index of the control strategy in the season based on the first measurement index, the second measurement index and the third measurement index; wherein, the larger the comprehensive evaluation index, the better the comprehensive performance of the control strategy in the season.

9. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the method for evaluating the electrochromic window control strategy according to any one of claims 1 to 7.

10. A storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the method for evaluating the electrochromic window control strategy as claimed in any one of claims 1 to 7 is implemented.

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